Instruction:
Text: We propose that remoxipride and benzene may induce aplastic anemia via production of similar reactive metabolites and that the ability of NCQ436 and NCQ344 to induce apoptosis in HBMP cells may contribute to the mechanism underlying acquired aplastic anemia that has been associated with remoxipride .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["NCQ436", "remoxipride", "NCQ344", "benzene"], "Disease": ["aplastic anemia"]}


Instruction:
Text: Synthesis and preliminary pharmacological investigations of 1 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazine derivatives as potential atypical antipsychotic agents in mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["1 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazine"]}


Instruction:
Text: The synthesis and preliminary pharmacological evaluation of a series of potential atypical antipsychotic agents based on the structure of 1 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazine ( 7 ) is described .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["1 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazine"]}


Instruction:
Text: Compound 7e , 5 - { 2 - [ 4 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazinyl ] ethyl } - 2 , 3 - dihy dro - 1H - indol - 2 - one , from this series showed significant affinities at the 5 - HT1A and 5 - HT2A receptors and moderate affinity at the D2 receptor .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["5 - { 2 - [ 4 - ( 1 , 2 - dihydro - 2 - acenaphthylenyl ) piperazinyl ] ethyl } - 2 , 3 - dihy dro - 1H - indol - 2 - one"]}


Instruction:
Text: 7e exhibits a high reversal of catalepsy induced by haloperidol indicating its atypical antipsychotic nature .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["catalepsy"], "Chemical": ["haloperidol"]}


Instruction:
Text: Sub - chronic inhibition of nitric - oxide synthesis modifies haloperidol - induced catalepsy and the number of NADPH - diaphorase neurons in mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["NADPH", "haloperidol", "nitric - oxide"], "Disease": ["catalepsy"]}


Instruction:
Text: RATIONALE : NG - nitro - L - arginine ( L - NOARG ) , an inhibitor of nitric - oxide synthase ( NOS ) , induces catalepsy in mice .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["L - NOARG", "nitric - oxide", "NG - nitro - L - arginine"], "Disease": ["catalepsy"]}


Instruction:
Text: This effect undergoes rapid tolerance , showing a significant decrease after 2 days of sub - chronic L - NOARG treatment .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Nitric oxide ( NO ) has been shown to influence dopaminergic neurotransmission in the striatum .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Neuroleptic drugs such as haloperidol , which block dopamine receptors , also cause catalepsy in rodents .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["dopamine", "haloperidol"], "Disease": ["catalepsy"]}


Instruction:
Text: OBJECTIVES : To investigate the effects of subchronic L - NOARG treatment in haloperidol - induced catalepsy and the number of NOS neurons in areas related to motor control .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["L - NOARG", "haloperidol"], "Disease": ["catalepsy"]}


Instruction:
Text: METHODS : Male albino Swiss mice were treated sub - chronically ( twice a day for 4 days ) with L - NOARG ( 40 mg / kg i . p . ) or haloperidol ( 1 mg / kg i . p . ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["L - NOARG", "haloperidol"]}


Instruction:
Text: Catalepsy was evaluated at the beginning and the end of the treatments .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Reduced nicotinamide adenine dinucleotide phosphate - diaphorase ( NADPH - d ) histochemistry was also employed to visualize NOS as an index of enzyme expression in mice brain regions related to motor control .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["nicotinamide adenine dinucleotide phosphate", "NADPH"]}


Instruction:
Text: RESULTS : L - NOARG sub - chronic administration produced tolerance of L - NOARG and of haloperidol - induced catalepsy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["L - NOARG", "haloperidol"], "Disease": ["catalepsy"]}


Instruction:
Text: It also induced an increase in the number of NADPH - d - positive cells in the dorsal part of the caudate and accumbens nuclei compared with haloperidol and in the pedunculopontine tegmental nucleus compared with saline .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: In contrast , there was a decrease in NADPH - d neuron number in the substantia nigra , pars compacta in both haloperidol - treated and L - NOARG - treated animals .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["L - NOARG", "haloperidol", "NADPH"]}


Instruction:
Text: CONCLUSIONS : The results give further support to the hypothesis that NO plays a role in motor behavior control and suggest that it may take part in the synaptic changes produced by antipsychotic treatment .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Prolonged left ventricular dysfunction occurs in patients with coronary artery disease after both dobutamine and exercise induced myocardial ischaemia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["coronary artery disease", "myocardial ischaemia", "left ventricular dysfunction"], "Chemical": ["dobutamine"]}


Instruction:
Text: OBJECTIVE : To determine whether pharmacological stress leads to prolonged but reversible left ventricular dysfunction in patients with coronary artery disease , similar to that seen after exercise .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["coronary artery disease", "left ventricular dysfunction"]}


Instruction:
Text: DESIGN : A randomised crossover study of recovery time of systolic and diastolic left ventricular function after exercise and dobutamine induced ischaemia .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["dobutamine"], "Disease": ["ischaemia"]}


Instruction:
Text: SUBJECTS : 10 patients with stable angina , angiographically proven coronary artery disease , and normal left ventricular function .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["coronary artery disease", "stable angina"]}


Instruction:
Text: INTERVENTIONS : Treadmill exercise and dobutamine stress were performed on different days .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: There was no difference in the maximum double product ( p = 0 . 53 ) or ST depression ( p = 0 . 63 ) with either form of stress .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: After exercise , ejection fraction was reduced at 15 and 30 minutes compared with baseline ( mean ( SEM ) , - 5 . 6 ( 1 . 5 ) % , p < 0 . 05 ; and - 6 . 1 ( 2 . 2 ) % , p < 0 . 01 ) , and at 30 and 45 minutes after dobutamine ( - 10 . 8 ( 1 . 8 ) % and - 5 . 5 ( 1 . 8 ) % , both p < 0 . 01 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Regional analysis showed a reduction in the worst affected segment 15 and 30 minutes after exercise ( - 27 . 9 ( 7 . 2 ) % and - 28 . 6 ( 5 . 7 ) % , both p < 0 . 01 ) , and at 30 minutes after dobutamine ( - 32 ( 5 . 3 ) % , p < 0 . 01 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: CONCLUSIONS : In patients with coronary artery disease , dobutamine induced ischaemia results in prolonged reversible left ventricular dysfunction , presumed to be myocardial stunning , similar to that seen after exercise .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["ischaemia", "myocardial stunning", "coronary artery disease", "left ventricular dysfunction"], "Chemical": ["dobutamine"]}


Instruction:
Text: Dobutamine induced ischaemia could therefore be used to study the pathophysiology of this phenomenon further in patients with coronary artery disease .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Chemical": ["Dobutamine"], "Disease": ["ischaemia", "coronary artery disease"]}


Instruction:
Text: Anorexigens and pulmonary hypertension in the United States : results from the surveillance of North American pulmonary hypertension .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: BACKGROUND : The use of appetite suppressants in Europe has been associated with the development of primary pulmonary hypertension ( PPH ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["primary pulmonary hypertension", "PPH"]}


Instruction:
Text: Recently , fenfluramine appetite suppressants became widely used in the United States but were withdrawn in September 1997 because of concerns over adverse effects .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: MATERIALS AND METHODS : We conducted a prospective surveillance study on patients diagnosed with pulmonary hypertension at 12 large referral centers in North America .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Data collected on patients seen from September 1 , 1996 , to December 31 , 1997 , included the cause of the pulmonary hypertension and its severity .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: Patients with no identifiable cause of pulmonary hypertension were classed as PPH .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["pulmonary hypertension", "PPH"]}


Instruction:
Text: A history of drug exposure also was taken with special attention on the use of antidepressants , anorexigens , and amphetamines .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:


Instruction:
Text: RESULTS : Five hundred seventy - nine patients were studied , 205 with PPH and 374 with pulmonary hypertension from other causes ( secondary pulmonary hypertension [ SPH ] ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Disease/Chemical：[entities]}.
Answer:

{"Disease": ["pulmonary hypertension", "PPH"]}


Instruction:
Text: @ colgo hey , congrats to you and the team ! Always worth a read :)
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: This morning I met with Senators Inabo and Senior from Palau to discuss my role as Chair of the Public Works . . . http://t.co/McYNwpzHmt
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Senior", "Inabo"], "location": ["Palau"]}


Instruction:
Text: Enjoying the Chinese Assoc of Vic annual dinner right here in Aston ! http://t.co/6geIkKyEiS
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Chinese Assoc of Vic"], "location": ["Aston"]}


Instruction:
Text: Best wishes to Kevin , Therese & their family as they embark on the next stage of their lives . JG
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Looking forward to Restaurant & Catering Awards here in Parlt tonight , recognising industry 's best . NS
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Whatever the result , a great effort from @ GWS_Giants tonight . Fighting hard . #aflhawksgiants
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["GWS_Giants"], "person": ["#aflhawksgiants"]}


Instruction:
Text: Interesting opinion piece in the New York Times . Ca n't wait to hear what the perpetually outraged have to say . http://t.co/1GbFYFCKs3
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["the New York Times"]}


Instruction:
Text: @ matt_levinson @ alisoncroggon More often than not , that loveliness is Leunig .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["alisoncroggon", "matt_levinson", "Leunig"]}


Instruction:
Text: 1st task post election : opening Dromana Bowls club season 2013 : 14 . Little country booths y ' da are a reminder that we find Oz in the local .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Dromana Bowls club"], "location": ["Oz"]}


Instruction:
Text: Today in QT I outlined some of the positive changes the Coalition will introduce for ADF personnel and their families . http://t.co/3BvACzoDgJ
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["QT"], "organization": ["ADF"]}


Instruction:
Text: Only 123 days to the bounce for the Cats ' first game of the 2011 season . NS
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Cats"], "location": ["NS"]}


Instruction:
Text: pleased to host #RUOK day with @ AmandaRishworth @ Parl House today . . . Ask your friends , family and colleagues - R U OK ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["AmandaRishworth"], "location": ["Parl House"]}


Instruction:
Text: It 's great to be home - nothing like being welcomed by some beautiful #darwin Dry Season weather !
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Big turn out at the alternatives to shark culling forum- So many committed West Aussies who want to do something about this terrible policy
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ Trimega any more would have been unseemly .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: everyone else is as desperately sad about Robin Williams as us right ? ? it feels like we 've lost a gorgeous hilarious uncle or something
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: My oped in AFR today : Labor all talk , no action http://t.co/Y9txKYkHEz
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: just finished newsradio with marius , about to talk to abc news breakfast then sky am agenda .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["sky", "abc news", "newsradio"], "person": ["marius"]}


Instruction:
Text: Good point made by Katherine King - Dutton can only " go nasty " - he is a head kicker is not interested in health #auspol #qt
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Katherine King", "Dutton"]}


Instruction:
Text: @ cowboypirate Where do you guys get these claims from ? When have I ever wanted the reef dug up for profits ? Ridiculous .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I think Dermie is a @ NTThunderFC fan - like the rest of the crowd ! http://t.co/uPLWqLiClA
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Dermie"], "organization": ["NTThunderFC"]}


Instruction:
Text: @ esssee @ storm yes great day indeed
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ kellyexeter Hahahahah
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: When it comes to football based comedy panel shows for the 2022 World Cup , I call the name Qatar Heroes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["2022 World Cup"], "location": ["Qatar"]}


Instruction:
Text: All the best for tonight 's opening of @ QTCanberra - may it remain a Canberra institution for many years to come !
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["QTCanberra"], "location": ["Canberra"]}


Instruction:
Text: в украине на вторичном рынке резко подешевеют квартиры , - эксперт
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Australia simply can not afford three more years of Labor 's bloated bureaucratic culture and economic mismanagement http://t.co/9T9S9qIOpb
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Australia"], "organization": ["Labor"]}


Instruction:
Text: @ MikeCullen73 cheers xx
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: At the Eagleby Learning College Careers Day http://t.co/mf2I2OwSeX
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Eagleby Learning College"]}


Instruction:
Text: People walking around in shirt sleeves here in Canberra . Extremely mild weather for this time of year but I 'm certainly not complaining .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: CPA Australia says ASIC is a damaged brand in the marketplace
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["CPA Australia", "ASIC"]}


Instruction:
Text: Great to see Rob “ @ DanMISSIONBEAT : Just finished Missionbeat patrol with new Min for Homelessness Rob McClelland http://t.co/6bUAqiMM ”
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["DanMISSIONBEAT", "Rob McClelland", "Rob"], "location": ["Missionbeat"]}


Instruction:
Text: @ ChrisMogster I think you are getting better and better . I liked all the ideas .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Hey @ kyliegillies I reckon we can outdo the @sunriseon7 bungee jump with the world 's first studio … http://t.co/5Yx3IxbIov
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ steven_noble @ SharonBirdMP @ garethjward it takes longer today than when I first took the train to Sydney 40yrs ago
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["SharonBirdMP", "garethjward", "steven_noble"], "location": ["Sydney"]}


Instruction:
Text: @ Peter_Gill I wrote it a few years back , but I doubt things have changed - I hope it helps .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ StephJWA My pleasure
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ Colgo hipsters do n't brawl . . . . they glomp
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Spread the love Errol-ers ! @ DebSpillane is a baller and deserves a spot in the media hall of fame ! http://t.co/cnTZrVEJ9D
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ David_Ritter I do n't , I want to protect legitimate businesses from the misinformation of groups like Greenpeace and Markets for Change
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["David_Ritter"], "organization": ["Markets for Change", "Greenpeace"]}


Instruction:
Text: @ murphymiranda Thank you for your generous Tweetment
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Heartfelt appreciation to @ SummersAnne for 2 fantastic conversations in Sydney & Melbourne . Thanks to all who shared in it ! JG #JuliaTalks
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["SummersAnne", "#JuliaTalks"], "location": ["Melbourne", "Sydney"]}


Instruction:
Text: About to speak in Parliament on the House of Reps Economics Committee 2nd report into the RBA Annual Report ( you got all that ? ) #auspol
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Parliament"], "organization": ["House of Reps Economics Committee"]}


Instruction:
Text: @ seancallanan Love your podcast Sean !
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ Graeme_Bowman @ fightforthereef racist
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Graeme_Bowman"], "organization": ["fightforthereef"]}


Instruction:
Text: At Lowy Institute with Julie Bishop to launch Australia 's new approach to Economic Diplomacy .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Lowy Institute", "Australia"], "person": ["Julie Bishop"]}


Instruction:
Text: I salute Eastwood Fire Brigade on 100 years ' serving our community #auspol #bennelong http://t.co/rxBxseBH9g
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Eastwood Fire Brigade"]}


Instruction:
Text: Today is 25th anniversary of Landcare a fantastic grassroots movement , unfortunate that Govt has ripped $ 480m from its budget #qt #auspol
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: 5 Government Ministers have visited Forde since the election http://t.co/YkkrafKT3h
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Deep emissions cuts needed by 2050 to limit warming : U . N . draft http://t.co/3FBWSi7dij
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Could n't see the @ NRLKnights game but devastating outcome after what must have been a great effort ! #NRL
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ steven_noble provided ( like typists ) there ’ s also a quality test in there ;)
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I 'll be interviewed by Fran Kelly on ABC Insiders shortly #auspol
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Fran Kelly"], "organization": ["ABC Insiders"]}


Instruction:
Text: I was pleased to get along to the ribbon-cutting of the first stage of the Kangaroo Island development at . . . http://t.co/hKNOaTRb
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Thanks Sister Margaret and Maronite College of the Holy Family . Great to present a flag for your #ANZAC service . http://t.co/dWRDrC5V8D
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Sister Margaret"], "organization": ["Maronite College of the Holy Family"]}


Instruction:
Text: For every animal a vegetarian does n't eat , I will eat three . On a very related note , somebody should bring me KFC
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ barryofarrell My mistake . I did n't realise Marxists were so fond of Easter . #marchinmay
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Just arrived in #AliceSprings for the #Indigenousjobs & Training Review . Looking forward to hearing from everyone .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ macleanbrendan * jazz ballet intensifies *
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ NadiaHylkema haha yeah the sling was no fun ! Glad to be out of that !
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ NewtonMark @FAO true ! But it was n't online , I brought it back to Oz .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["NewtonMark"], "location": ["Oz"]}


Instruction:
Text: In his Q & A , Treasury sec Martin Parkinson said it was unrealistic to expect some people to work until 70 http://t.co/AAe9TxoraQ #auspol
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ chrisopotamia Speaking of which , visiting soon with @ shellity and want a you , @ fionanewb and @ emilynewbold overdue catch-up . DM email pls .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["emilynewbold", "shellity", "fionanewb", "chrisopotamia"]}


Instruction:
Text: ICYMI , how to think about the new Middle East by diplomat , negotiator Dennis Ross http://t.co/D2Ew0DgrR7
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Middle East"], "person": ["Dennis Ross"]}


Instruction:
Text: Great Last Post ahead of @ NRLKnights v @ NRL_Bulldogs #lestweforget
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I had a positive meeting with #OSCE which is negotiating with the separatists on our behalf in #Ukraine. http://t.co/iSPweA87CR
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["#OSCE"], "location": ["#Ukraine."]}


Instruction:
Text: #australianlabor fingerprints all over power price rises - whether carbon tax , cth regulator or state govts neglect #auspol #lateline
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Shazam covers the news that the mainstream media is afraid of .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I met w / Wavepark Group today who are proposing a WA surfing park . No sharks and plenty of waves for pros & beginners http://t.co/qeCl9puKue
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Wavepark Group"], "location": ["WA"]}


Instruction:
Text: One thing you might n't have known about @ ariannahuff - the love of her life was Bernard Levin . http://t.co/A9JyacII69
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["ariannahuff", "Bernard Levin"]}


Instruction:
Text: A degree should not equal a debt sentence for Tasmanian students http://t.co/piLxXb7oy1
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Thanks to @ NancyPelosi House Minority Leader for taking the time to meet with me . http://t.co/sMHK7dXzUo
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ wendy_harmer is a nat ' l treasure , like Tas forests . Libs out of touch with 7 out of 8 Aussies who want World Heritage protected not logged .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["wendy_harmer"], "location": ["Tas forests"]}


Instruction:
Text: Great to be on @1057darwin with Julia Christensen talking health http://t.co/l0Ow46JGF9
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I posted a new photo to Facebook http://t.co/gFuYnydkNY
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Started question time asked PM about importance of TAFE & apprentices - he had nothing to say on TAFE and ignored the $ 1b cuts to apprentices
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: @ Colvinius @ RadioNational @ annetreasure OKAY I WILL HAPPILY OKAY
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Colvinius", "RadioNational"], "person": ["annetreasure"]}


Instruction:
Text: Gr 8 speech from Obama - " history is on the side of the free "
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: At open day for WA Assoc for the Blind in Kitchener Way , Vic Park . Come down and see the puppies . Open until 3 PM . http://t.co/aBbADP7Jen
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["WA Assoc for the Blind"], "location": ["Kitchener Way", "Vic Park"]}


Instruction:
Text: At The Gang Show with Central Coast scouts and guides . Great kids & great show . @cc_websites @CCexpressadvoc http://t.co/fJGtlB6nLv
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: GPs and patients all against Abbott 's GP Tax . This afternoon in Yagoona with @ JasonClareMP http://t.co/WmCCFbynTi
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["JasonClareMP", "Abbott"], "location": ["Yagoona"]}


Instruction:
Text: Fixed . @ mdsimmonds @ jimboykin " Get your content on a highly trusted site because if you 're not a brand , you 're already losing "
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: I spoke in Parlt re the budget ripping millions out of healthcare . We do not want a US-style system here #auspol https://t.co/P2XNCtDSTq
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: SOCCER - JAPAN GET LUCKY WIN , CHINA IN SURPRISE DEFEAT .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["CHINA"], "location": ["JAPAN"]}


Instruction:
Text: Nadim Ladki
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: AL-AIN , United Arab Emirates 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["AL-AIN", "United Arab Emirates"]}


Instruction:
Text: Japan began the defence of their Asian Cup title with a lucky 2-1 win against Syria in a Group C championship match on Friday .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["Asian Cup"], "location": ["Syria", "Japan"]}


Instruction:
Text: But China saw their luck desert them in the second match of the group , crashing to a surprise 2-0 defeat to newcomers Uzbekistan .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: China controlled most of the match and saw several chances missed until the 78th minute when Uzbek striker Igor Shkvyrin took advantage of a misdirected defensive header to lob the ball over the advancing Chinese keeper and into an empty net .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["Chinese", "Uzbek"], "person": ["Igor Shkvyrin"], "location": ["China"]}


Instruction:
Text: Oleg Shatskiku made sure of the win in injury time , hitting an unstoppable left foot shot from just outside the area .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: The former Soviet republic was playing in an Asian Cup finals tie for the first time .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Despite winning the Asian Games title two years ago , Uzbekistan are in the finals as outsiders .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["Asian Games"], "location": ["Uzbekistan"]}


Instruction:
Text: Two goals from defensive errors in the last six minutes allowed Japan to come from behind and collect all three points from their opening meeting against Syria .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Takuya Takagi scored the winner in the 88th minute , rising to head a Hiroshige Yanagimoto cross towards the Syrian goal which goalkeeper Salem Bitar appeared to have covered but then allowed to slip into the net .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Salem Bitar", "Takuya Takagi", "Hiroshige Yanagimoto"], "else": ["Syrian"]}


Instruction:
Text: It was the second costly blunder by Syria in four minutes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Defender Hassan Abbas rose to intercept a long ball into the area in the 84th minute but only managed to divert it into the top corner of Bitar 's goal .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Nader Jokhadar had given Syria the lead with a well-struck header in the seventh minute .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Nader Jokhadar"], "location": ["Syria"]}


Instruction:
Text: Japan then laid siege to the Syrian penalty area for most of the game but rarely breached the Syrian defence .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["Syrian"], "location": ["Japan"]}


Instruction:
Text: Bitar pulled off fine saves whenever they did .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan coach Shu Kamo said : ' ' The Syrian own goal proved lucky for us .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Shu Kamo"], "else": ["Syrian"], "location": ["Japan"]}


Instruction:
Text: The Syrians scored early and then played defensively and adopted long balls which made it hard for us . '
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan , co-hosts of the World Cup in 2002 and ranked 20th in the world by FIFA , are favourites to regain their title here .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["World Cup"], "organization": ["FIFA"], "location": ["Japan"]}


Instruction:
Text: Hosts UAE play Kuwait and South Korea take on Indonesia on Saturday in Group A matches .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["South Korea", "Indonesia", "UAE", "Kuwait"]}


Instruction:
Text: RUGBY UNION - CUTTITTA BACK FOR ITALY AFTER A YEAR .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["CUTTITTA"], "organization": ["RUGBY UNION"], "location": ["ITALY"]}


Instruction:
Text: ROME 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Italy recalled Marcello Cuttitta
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Marcello Cuttitta"], "location": ["Italy"]}


Instruction:
Text: on Friday for their friendly against Scotland at Murrayfield more than a year after the 30-year-old wing announced he was retiring following differences over selection .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Cuttitta , who trainer George Coste said was certain to play on Saturday week , was named in a 21-man squad lacking only two of the team beaten 54-21 by England at Twickenham last month .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["George Coste", "Cuttitta"], "location": ["Twickenham", "England"]}


Instruction:
Text: Stefano Bordon is out through illness and Coste said he had dropped back row Corrado Covi , who had been recalled for the England game after five years out of the national team .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Coste", "Stefano Bordon", "Corrado Covi"], "location": ["England"]}


Instruction:
Text: Cuttitta announced his retirement after the 1995 World Cup , where he took issue with being dropped from the Italy side that faced England in the pool stages .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Italy", "England"], "person": ["Cuttitta"], "else": ["1995 World Cup"]}


Instruction:
Text: Coste said he had approached the player two months ago about a comeback .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: " He ended the World Cup on the wrong note , " Coste said .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Coste"], "else": ["World Cup"]}


Instruction:
Text: Squad : Javier Pertile , Paolo Vaccari , Marcello Cuttitta , Ivan Francescato , Leandro Manteri , Diego Dominguez , Francesco Mazzariol , Alessandro Troncon , Orazio Arancio , Andrea Sgorlon , Massimo Giovanelli , Carlo Checchinato , Walter Cristofoletto , Franco Properzi Curti , Carlo Orlandi , Massimo Cuttitta , Giambatista Croci , Gianluca Guidi , Nicola Mazzucato , Alessandro Moscardi , Andrea Castellani .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Leandro Manteri", "Walter Cristofoletto", "Paolo Vaccari", "Nicola Mazzucato", "Alessandro Troncon", "Orazio Arancio", "Francesco Mazzariol", "Gianluca Guidi", "Javier Pertile", "Andrea Castellani", "Marcello Cuttitta", "Massimo Cuttitta", "Carlo Orlandi", "Andrea Sgorlon", "Alessandro Moscardi", "Diego Dominguez", "Ivan Francescato", "Franco Properzi Curti", "Massimo Giovanelli", "Carlo Checchinato", "Giambatista Croci"]}


Instruction:
Text: SOCCER - LATE GOALS GIVE JAPAN WIN OVER SYRIA .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: AL-AIN , United Arab Emirates 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["AL-AIN", "United Arab Emirates"]}


Instruction:
Text: Two goals in the last six minutes gave holders Japan an uninspiring 2-1 Asian Cup victory over Syria on Friday .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Syria", "Japan"], "else": ["Asian Cup"]}


Instruction:
Text: Takuya Takagi headed the winner in the 88th minute of the group C game after goalkeeper Salem Bitar spoiled a mistake-free display by allowing the ball to slip under his body .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Takuya Takagi", "Salem Bitar"]}


Instruction:
Text: It was the second Syrian defensive blunder in four minutes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Defender Hassan Abbas rose to intercept a long ball into the area in the 84th minute but only managed to divert it into the top corner of Bitar 's goal .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Syria had taken the lead from their first serious attack in the seventh minute .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Nader Jokhadar headed a cross from the right by Ammar Awad into the top right corner of Kenichi Shimokawa 's goal .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Nader Jokhadar", "Kenichi Shimokawa", "Ammar Awad"]}


Instruction:
Text: Japan then laid siege to the Syrian penalty area and had a goal disallowed for offside in the 16th minute .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"else": ["Syrian"], "location": ["Japan"]}


Instruction:
Text: A minute later , Bitar produced a good double save , first from Kazuyoshi Miura 's header and then blocked a Takagi follow-up shot .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Kazuyoshi Miura", "Bitar", "Takagi"]}


Instruction:
Text: Bitar saved well again from Miura in the 37th minute , parrying away his header from a corner .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan started the second half brightly but Bitar denied them an equaliser when he dived to his right to save Naoki Soma 's low drive in the 53rd minute .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Naoki Soma", "Bitar"], "location": ["Japan"]}


Instruction:
Text: Japan : 19 - Kenichi Shimokawa , 2 - Hiroshige Yanagimoto , 3 - Naoki Soma , 4 - Masami Ihara , 5 - Norio Omura , 6 - Motohiro Yamaguchi , 8 - Masakiyo Maezono ( 7 - Yasuto Honda 71 ) , 9 - Takuya Takagi , 10 - Hiroshi Nanami , 11 - Kazuyoshi Miura , 15 - Hiroaki Morishima ( 14 - Masayuki Okano 75 ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Takuya Takagi", "Kazuyoshi Miura", "Norio Omura", "Hiroshige Yanagimoto", "Kenichi Shimokawa", "Hiroaki Morishima", "Masami Ihara", "Motohiro Yamaguchi", "Masayuki Okano", "Masakiyo Maezono", "Hiroshi Nanami", "Naoki Soma", "Yasuto Honda"], "location": ["Japan"]}


Instruction:
Text: Syria : 24 - Salem Bitar , 3 - Bachar Srour ; 4 - Hassan Abbas , 5 - Tarek Jabban , 6 - Ammar Awad ( 9 - Louay Taleb 69 ) , 8 - Nihad al-Boushi , 10 - Mohammed Afash , 12 - Ali Dib , 13 - Abdul Latif Helou ( 17 - Ammar Rihawiy 46 ) , 14 - Khaled Zaher ; 16 - Nader Jokhadar .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Ammar Awad", "Ammar Rihawiy", "Nihad al-Boushi", "Mohammed Afash", "Louay Taleb", "Tarek Jabban", "Salem Bitar", "Abdul Latif Helou", "Bachar Srour", "Khaled Zaher", "Nader Jokhadar", "Hassan Abbas", "Ali Dib"], "location": ["Syria"]}


Instruction:
Text: FREESTYLE SKIING-WORLD CUP MOGUL RESULTS .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: TIGNES , France 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Results of the World Cup
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: 1. Jesper Ronnback ( Sweden ) 25.76 points
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Sweden"], "person": ["Jesper Ronnback"]}


Instruction:
Text: 2. Andrei Ivanov ( Russia ) 24.88
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Russia"], "person": ["Andrei Ivanov"]}


Instruction:
Text: 3. Ryan Johnson ( Canada ) 24.57
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Canada"], "person": ["Ryan Johnson"]}


Instruction:
Text: 4. Jean-Luc Brassard ( Canada ) 24.40
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Canada"], "person": ["Jean-Luc Brassard"]}


Instruction:
Text: 5. Korneilus Hole ( Norway ) 23.92
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Norway"], "person": ["Korneilus Hole"]}


Instruction:
Text: 6. Jeremie Collomb-Patton ( France ) 23.87
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["France"], "person": ["Jeremie Collomb-Patton"]}


Instruction:
Text: 7. Jim Moran ( U.S. ) 23.25
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["U.S."], "person": ["Jim Moran"]}


Instruction:
Text: 8. Dominick Gauthier ( Canada ) 22.73
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Canada"], "person": ["Dominick Gauthier"]}


Instruction:
Text: 9. Johann Gregoire ( France ) 22.58
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["France"], "person": ["Johann Gregoire"]}


Instruction:
Text: 10. Troy Benson ( U.S. ) 22.56
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["U.S."], "person": ["Troy Benson"]}


Instruction:
Text: 1. Tatjana Mittermayer ( Germany ) 24.32
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Germany"], "person": ["Tatjana Mittermayer"]}


Instruction:
Text: 2. Candice Gilg ( France ) 24.31
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["France"], "person": ["Candice Gilg"]}


Instruction:
Text: 3. Minna Karhu ( Finland ) 24.05
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Finland"], "person": ["Minna Karhu"]}


Instruction:
Text: 4. Tae Satoya ( Japan ) 23.75
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Japan"], "person": ["Tae Satoya"]}


Instruction:
Text: 5. Ann Battellle ( U.S. ) 23.56
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["U.S."], "person": ["Ann Battellle"]}


Instruction:
Text: 6. Donna Weinbrecht ( U.S. ) 22.48
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["U.S."], "person": ["Donna Weinbrecht"]}


Instruction:
Text: 7. Liz McIntyre ( U.S. ) 22.00
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["U.S."], "person": ["Liz McIntyre"]}


Instruction:
Text: 8. Elena Koroleva ( Russia ) 21.77
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Russia"], "person": ["Elena Koroleva"]}


Instruction:
Text: 9. Ljudmila Dymchenko ( Russia ) 21.59
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Russia"], "person": ["Ljudmila Dymchenko"]}


Instruction:
Text: 10. Katleen Allais ( France ) 21.58
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["France"], "person": ["Katleen Allais"]}


Instruction:
Text: SOCCER - ASIAN CUP GROUP C RESULTS .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: AL-AIN , United Arab Emirates 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["AL-AIN", "United Arab Emirates"]}


Instruction:
Text: Results of Asian Cup group C matches played on Friday :
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan 2 Syria 1 ( halftime 0-1 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan - Hassan Abbas 84 own goal , Takuya Takagi 88 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Hassan Abbas", "Takuya Takagi"], "location": ["Japan"]}


Instruction:
Text: Syria - Nader Jokhadar 7
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Nader Jokhadar"], "location": ["Syria"]}


Instruction:
Text: China 0 Uzbekistan 2 ( halftime 0-0 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Scorers : Shkvyrin Igor 78 , Shatskikh Oleg 90
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"person": ["Shkvyrin Igor", "Shatskikh Oleg"]}


Instruction:
Text: Uzbekistan 1 1 0 0 2 0 3
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Japan 1 1 0 0 2 1 3
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Syria 1 0 0 1 1 2 0
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: China 1 0 0 1 0 2 0
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: CRICKET - PAKISTAN V NEW ZEALAND ONE-DAY SCOREBOARD .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["NEW ZEALAND", "PAKISTAN"]}


Instruction:
Text: [ CORRECTED 14:06 GMT ]
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: SIALKOT , Pakistan 1996-12-06
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: one-day cricket international between Pakistan and New Zealand
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:

{"location": ["Pakistan", "New Zealand"]}


Instruction:
Text: Pakistan
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Saeed Anwar run out 91 ( corrects from 90 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Zahoor Elahi b Cairns 86 ( corrects from 87 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/else/organization/person：[entities]}.
Answer:


Instruction:
Text: Nevertheless , the main outcome of the reported experience is the proposed redesign approach for part consolidation using metal AM .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["part consolidation"], "manufacturing process": ["metal AM"]}


Instruction:
Text: The proposed approach is general , well structured , and detailed enough to be immedialtely applicable at industrial level , but it needs further testing on different case studies to prove the benefits .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"material": ["be"], "application": ["industrial"], "process characterization": ["testing"], "concept or principle": ["case studies"]}


Instruction:
Text: An interesting framework to part consolidation and functional integration exploiting AM technologies is presented and validated in .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["framework", "part consolidation"], "manufacturing process": ["AM technologies"]}


Instruction:
Text: In a further development of their approach , the authors have recently addressed the relevant problem of detecting the possible candidates for part consolidation , as reported in .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["part consolidation"], "material": ["as"]}


Instruction:
Text: Potentially , when dealing with part consolidation , the designer may consider the need of part decomposition .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["part consolidation"], "machanical property": ["decomposition"]}


Instruction:
Text: The need to increase the number of parts in a product fabricated by AM may be due to many reasons : printability , productivity , functionality , artistry , and interchangeability .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["productivity", "fabricated"], "manufacturing process": ["AM"], "material": ["be"], "process parameter": ["printability"]}


Instruction:
Text: Printability is actually the main reason being related to the limited working envelope of AM machines .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"process parameter": ["Printability"], "machine or equipment": ["AM machines"]}


Instruction:
Text: In the part decomposition problem in AM is addressed , but it is the first and unique example of research on this topic .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"machanical property": ["decomposition"], "manufacturing process": ["AM"], "concept or principle": ["research"]}


Instruction:
Text: 9 Conclusion and future challenges DfAM is about design for the whole AM product life cycle .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"engineering feature": ["design"], "manufacturing process": ["AM"], "concept or principle": ["life cycle"]}


Instruction:
Text: This paper has presented a framework of tools and methods for DfAM and has shown the strong interaction between these life cycle stages and AM product design .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["framework", "life cycle"], "machine or equipment": ["tools"], "manufacturing process": ["AM"], "engineering feature": ["design"]}


Instruction:
Text: The state of the art was presented on many of these design tools and their applicability was illustrated using many of the latest examples from research and industry .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"application": ["industry", "art"], "engineering feature": ["design"], "concept or principle": ["research"]}


Instruction:
Text: 9.1 AM suitability exploration A growing number of companies are exploring the commercial use of AM within their supply chain .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["AM"], "application": ["companies"], "concept or principle": ["supply chain"]}


Instruction:
Text: For that , better methods and tools are needed to help the designer obtain an overview that identifies the match between functional and economical demands of the intended product and all stages of AM in product development .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"machine or equipment": ["tools"], "manufacturing process": ["AM"], "concept or principle": ["product development"]}


Instruction:
Text: Methods for early cost estimation are lacking , while current figures for production cost per cm3 are not based on established calculation methods and lack experimental and industrial verification .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["experimental", "production cost", "cost estimation"], "application": ["industrial"]}


Instruction:
Text: Late life cycle stages of postprocessing , inspection and certification have a significant impact on production cost and general applicability of AM , but these stages are underrepresented in current DfAM approaches .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["production cost", "postprocessing", "impact", "life cycle"], "process characterization": ["inspection"], "manufacturing process": ["AM"]}


Instruction:
Text: Finally , more education on Additive Manufacturing is needed , as the majority of product designers and engineers are still trained to think subtractive .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["Additive Manufacturing", "subtractive"], "material": ["as"]}


Instruction:
Text: 9.2 Product design for AM goals Topology optimization enables strategies that go beyond lightweight design to include minimizing support usage and thermal deformation , optimizing local heat input , and with that the local material properties , porosity and strength .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"engineering feature": ["design", "Topology optimization", "Product design"], "manufacturing process": ["AM"], "material": ["go"], "concept or principle": ["local heat input", "lightweight", "material properties"], "application": ["support"], "process characterization": ["thermal deformation"], "machanical property": ["porosity", "strength"]}


Instruction:
Text: TO methods need further enhancement to tackle optimization as a 3D problem while taking all later product development stages into account .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["optimization", "product development", "3D"], "material": ["as"]}


Instruction:
Text: Generative design strategies have the benefit that they generate many possible design solutions , but as is the case with TO , few production and inspection constraints are currently integrated .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"enabling technology": ["Generative design"], "engineering feature": ["design"], "material": ["as"], "manufacturing process": ["production"], "process characterization": ["inspection"]}


Instruction:
Text: Lattice structures show explicit benefits , especially in application fields involving energy absorption and heat conduction .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"engineering feature": ["Lattice structures"], "process characterization": ["energy absorption"], "concept or principle": ["heat conduction"]}


Instruction:
Text: They are however computationally intensive , which limits the optimization possibilities for large lattices to a limited set of parameters .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["lattices", "optimization", "parameters", "limits"], "application": ["set"]}


Instruction:
Text: When looking at the part interior , specially designed porosity is seen as a promising new feature for internal transport of gasses and fluids .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"engineering feature": ["feature", "designed"], "material": ["fluids", "as"], "process characterization": ["transport"]}


Instruction:
Text: Both the optimal process settings as well as models for their application need further research to be applicable in everyday product design .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"process parameter": ["optimal process"], "material": ["as", "be"], "concept or principle": ["research"], "engineering feature": ["product design"]}


Instruction:
Text: To fully exploit the benefits of functional material complexity , further research must be conducted on rules and CAD representations of FGM related design intent .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["functional material complexity", "research"], "material": ["be"], "enabling technology": ["CAD"], "manufacturing process": ["FGM"], "engineering feature": ["design"]}


Instruction:
Text: However , the development of design tools and methods is still a matter of basic research and far from industrial application .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"engineering feature": ["design"], "concept or principle": ["research"], "application": ["industrial"]}


Instruction:
Text: The future of additive manufacturing is also looking towards 4D applications where those challenges will be even more relevant .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["additive manufacturing"], "concept or principle": ["4D"], "material": ["be"]}


Instruction:
Text: For the final optimization of geometry so that it combines AM benefits with efficient production and inspection , a lot of research has been conducted .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["optimization", "research", "geometry"], "manufacturing process": ["AM", "production"], "process characterization": ["inspection"]}


Instruction:
Text: At an individual process level design knowledge is available and constantly being extended or refined .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["process"], "engineering feature": ["design"]}


Instruction:
Text: Further research is needed to enable improved integration in upstream product design steps like TO and generative design .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["research"], "engineering feature": ["product design"], "enabling technology": ["generative design"]}


Instruction:
Text: Integrating processing and manufacturing with design in AM is feasible since the full digital chain is there .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["manufacturing", "AM"], "engineering feature": ["design"], "enabling technology": ["digital chain"]}


Instruction:
Text: In current AM practice only a few zones in a product are defined where process settings can be defined , for example for the top and bottom facing surfaces and the bulk of the product in L-PBF .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["facing", "AM", "L-PBF"], "process parameter": ["process settings"], "material": ["be"]}


Instruction:
Text: If machine learning and closed loop control can be used to define the optimal settings for each deposition area , the need for support structures as well as the effects of thermal stresses and deformations are expected to reduce/diminish .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"machine or equipment": ["machine"], "concept or principle": ["deformations", "deposition", "closed loop control"], "material": ["as", "be"], "process parameter": ["area"], "engineering feature": ["support structures"], "machanical property": ["thermal stresses"]}


Instruction:
Text: This will have large impact on the AM products and the way they are designed .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["impact"], "manufacturing process": ["AM"], "engineering feature": ["designed"]}


Instruction:
Text: A combination of computational and knowledge-based methods would be an optimal solution for DfAM in the future to define qualified AM design solutions .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"material": ["be"], "concept or principle": ["solution"], "manufacturing process": ["AM"]}


Instruction:
Text: Data analytic methods could be used to explore and discover knowledge from existing validated designs or dig out implicit knowledge from large industrial practice and experimental data sets .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["experimental data", "Data"], "material": ["be"], "engineering feature": ["designs"], "application": ["industrial"]}


Instruction:
Text: A collaborative cloud-based DfAM platform would be more sustainable for the world if people could share their designs and design knowledge as well as other AM processing related data sets .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"machine or equipment": ["platform"], "material": ["as", "be"], "concept or principle": ["sustainable", "data"], "engineering feature": ["design", "designs"], "manufacturing process": ["AM"]}


Instruction:
Text: This would enable and advance wide KBE in DfAM , save a lot of cost and time and improve quality over the trial and error practice in current DfAM .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["trial and error", "quality"]}


Instruction:
Text: This will result in new application areas , new process constraints and new AM features The main goal of this review is to provide a detailed and comprehensive description of the published work from the past decade regarding AM of ceramic materials with possible applications in dentistry .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"process parameter": ["areas"], "concept or principle": ["process"], "manufacturing process": ["AM"], "material": ["ceramic materials"], "application": ["dentistry"]}


Instruction:
Text: The main printable materials and most common technologies are also addressed , underlining their advantages and main drawbacks .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"concept or principle": ["technologies", "materials"]}


Instruction:
Text: Methods Online databases were consulted on this topic .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:


Instruction:
Text: Results Ceramic materials are broadly used in dentistry to restore/replace damaged or missing teeth , due to their biocompatibility , chemical stability and mechanical and aesthetic properties .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"material": ["Ceramic materials"], "application": ["mechanical", "dentistry"], "machanical property": ["biocompatibility", "chemical stability"], "concept or principle": ["aesthetic"]}


Instruction:
Text: Due to their brittleness nature , a very tight control of the manufacturing process is needed to obtain dental pieces with adequate mechanical properties .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"machanical property": ["brittleness nature"], "manufacturing process": ["manufacturing process"], "machine or equipment": ["dental pieces"], "concept or principle": ["mechanical properties"]}


Instruction:
Text: Additive manufacturing is an emerging technology that constitutes an interesting and viable manufacturing alternative to the conventional subtractive methods .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["manufacturing", "conventional subtractive methods", "Additive manufacturing"], "concept or principle": ["technology"]}


Instruction:
Text: AM enables the production of customized complex 3D parts in a more sustainable and less expensive way .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["AM", "production"], "application": ["3D parts"], "concept or principle": ["sustainable"]}


Instruction:
Text: AM of ceramics can be achieved with an extensive variety of methods .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["AM"], "material": ["ceramics", "be"]}


Instruction:
Text: Although very promising , AM of ceramic dental materials remains understudied and further work is required to make it a widespread technology in dentistry .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"manufacturing process": ["AM"], "material": ["ceramic dental materials"], "concept or principle": ["technology"], "application": ["dentistry"]}


Instruction:
Text: In dentistry , as in many other fields , the production of dental pieces is increasingly becoming automated .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"application": ["dentistry"], "material": ["as"], "manufacturing process": ["production"], "machine or equipment": ["dental pieces"]}


Instruction:
Text: Computer aided design and/or computer aided manufacturing have become progressively widespread within the medical and dental fields .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {manufacturing standard/machanical property/manufacturing process/material/engineering feature/process parameter/machine or equipment/application/process characterization/enabling technology/biomedical/concept or principle：[entities]}.
Answer:

{"enabling technology": ["Computer aided design", "computer aided manufacturing"], "application": ["dental", "medical"]}