Simple Question (Direct)
Simple Question
Q104780
P27
Q1048835
USER
Which political territory is Bruno Kurowski a civilian of ?
(Q104780,P27,c(Q1048835))
action filter_type
action find
entity Q104780
relation P27
type Q1048835
['Q104780', 'P27', {'concept': 'Q1048835'}]
SELECT DISTINCT ?o WHERE { resource:Q104780 property:P27 ?o . ?o rdf:type ontology:Q1048835 }
Bruno Kurowski
action filter_type
action find
entity Bruno Kurowski
relation country of citizenship
type political territorial entity
['Bruno Kurowski', 'country of citizenship', {'concept': 'political territorial entity'}]
SELECT DISTINCT ?o WHERE { resource:Bruno_Kurowski property:country_of_citizenship ?o . ?o rdf:type ontology:political_territorial_entity }
[]
political territorial entity
Q183
SYSTEM
Germany
Q183
(Q104780,P27,c(Q1048835))
action filter_type
action find
entity Q104780
relation P27
type Q1048835
[ANSWER] is Bruno Kurowski a civilian of
['Q104780', 'P27', {'concept': 'Q1048835'}]
SELECT DISTINCT ?o WHERE { resource:Q104780 property:P27 ?o . ?o rdf:type ontology:Q1048835 }
Germany
Germany is Bruno Kurowski a civilian of
Germany
action filter_type
action find
entity Bruno Kurowski
relation country of citizenship
type political territorial entity
['Bruno Kurowski', 'country of citizenship', {'concept': 'political territorial entity'}]
SELECT DISTINCT ?o WHERE { resource:Bruno_Kurowski property:country_of_citizenship ?o . ?o rdf:type ontology:political_territorial_entity }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q104780
P106
Q28640
USER
Which professions are the professions of that person ?
(Q183,P106,c(Q28640))
action filter_type
action find
entity Q104780
relation P106
type Q28640
['Q183', 'P106', {'concept': 'Q28640'}]
SELECT DISTINCT ?c WHERE { resource:Q104780 property:P106 ?c . ?c rdf:type ontology:Q28640 }
Bruno Kurowski
action filter_type
action find
entity Bruno Kurowski
relation occupation
type profession
['Germany', 'occupation', {'concept': 'profession'}]
SELECT DISTINCT ?c WHERE { resource:Bruno_Kurowski property:occupation ?c . ?c rdf:type ontology:profession }
[]
profession
Q189010 Q40348
SYSTEM
notary, lawyer
Q189010 Q40348
(Q183,P106,c(Q28640))
action filter_type
action find
entity Q104780
relation P106
type Q28640
The professions of that person are the [ANSWERS]
['Q183', 'P106', {'concept': 'Q28640'}]
SELECT DISTINCT ?c WHERE { resource:Q104780 property:P106 ?c . ?c rdf:type ontology:Q28640 }
notary lawyer
The professions of that person are the notary and lawyer
notary lawyer
action filter_type
action find
entity Bruno Kurowski
relation occupation
type profession
['Germany', 'occupation', {'concept': 'profession'}]
SELECT DISTINCT ?c WHERE { resource:Bruno_Kurowski property:occupation ?c . ?c rdf:type ontology:profession }
[]
Comparative Reasoning (All)
Comparative|More/Less|Single entity type
Q3547645
P355
Q4830453 Q28640
USER
Which business enterprises are the subordinates of less number of professions than Ubisoft Annecy ?
(c(Q28640),P355,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P355
type Q4830453
type Q28640
action count
action filter_type
action find_reverse
entity Q3547645
relation P355
type Q28640
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ( COUNT ( ?i ) AS ?y ) WHERE { ?i property:P355 resource:Q3547645 . ?i rdf:type ontology:Q28640 } } . FILTER ( ?p < ?y ) . { SELECT DISTINCT ?h ( COUNT ( ?a ) AS ?p ) WHERE { ?a property:P355 ?h . ?h rdf:type ontology:Q4830453 . ?a rdf:type ontology:Q28640 } GROUP BY ?h } }
Ubisoft Annecy
action less
action find_reverse_tuple_counts
relation subsidiary
type business enterprise
type profession
action count
action filter_type
action find_reverse
entity Ubisoft Annecy
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ( COUNT ( ?i ) AS ?y ) WHERE { ?i property:subsidiary resource:Ubisoft_Annecy . ?i rdf:type ontology:profession } } . FILTER ( ?p < ?y ) . { SELECT DISTINCT ?h ( COUNT ( ?a ) AS ?p ) WHERE { ?a property:subsidiary ?h . ?h rdf:type ontology:business_enterprise . ?a rdf:type ontology:profession } GROUP BY ?h } }
[]
business enterprise profession
Q40966 Q866 Q155573
SYSTEM
Opel, YouTube, Airbus Helicopters
Q6840080 Q16987731 Q4721851 Q2843047 Q1143709 Q19977498 Q1085106 Q864910 Q18162669 Q10366076 Q1134268 Q386598 Q1532217 Q191615 Q21501946 Q169889 Q181114 Q1714952 Q928831 Q11228051 Q382465 Q1737487 Q908916 Q985997 Q106158 Q6341142 Q10366119 Q15804204 Q306769 Q1626564 Q6766400 Q205622 Q4854200 Q1201531 Q7497366 Q7385860 Q688893 Q23048564 Q7955301 Q1218180 Q3045727 Q3277439 Q1519181 Q389251 Q11236446 Q24230849 Q1074758 Q259340 Q641746 Q744800 Q10687909 Q2147715 Q795324 Q18689168 Q7160591 Q1318441 Q19515735 Q1342538 Q22813239 Q35886 Q8139691 Q13403399 Q16172809 Q1922100 Q568940 Q734663 Q1778277 Q194009 Q2378642 Q708667 Q6604030 Q11308745 Q11308747 Q858665 Q27489 Q2138491 Q11207295 Q1339456 Q11243694 Q16496497 Q271812 Q26720780 Q308889 Q1180332 Q1475070 Q1053674 Q333780 Q968850 Q3187172 Q2031951 Q7245172 Q10365786 Q10903852 Q5474362 Q3091339 Q18046528 Q658637 Q136478 Q567000 Q12300146 Q26702890 Q23048814 Q21857804 Q249892 Q1918981 Q5447158 Q59187 Q1542175 Q788231 Q16834431 Q836947 Q155573 Q600457 Q2027177 Q374451 Q4073726 Q1754870 Q20746310 Q40966 Q1420724 Q1122564 Q843448 Q151378 Q6824151 Q318672 Q15529123 Q5209438 Q4354860 Q10685076 Q22813244 Q3300783 Q22980120 Q2771806 Q1881443 Q10271259 Q179636 Q8013425 Q7632539 Q19604369 Q13974 Q796719 Q1152110 Q708290 Q5413890 Q965315 Q6715753 Q908436 Q161405 Q7954024 Q3518541 Q2531909 Q6883057 Q810783 Q822314 Q288038 Q5350273 Q12374454 Q11835724 Q1190247 Q7380124 Q188508 Q19904 Q1672772 Q4231991 Q1152109 Q11463109 Q2082380 Q20061301 Q23925826 Q8013770 Q1182611 Q106854 Q564963 Q217365 Q6057450 Q2033167 Q2932698 Q909032 Q6840142 Q6840143 Q866 Q48592 Q837851 Q212268 Q2373435 Q22813243
(c(Q28640),P355,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P355
type Q4830453
type Q28640
action count
action filter_type
action find_reverse
entity Q3547645
relation P355
type Q28640
[ANSWERS] are the subordinates of less number of professions than Ubisoft Annecy
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ( COUNT ( ?i ) AS ?y ) WHERE { ?i property:P355 resource:Q3547645 . ?i rdf:type ontology:Q28640 } } . FILTER ( ?p < ?y ) . { SELECT DISTINCT ?h ( COUNT ( ?a ) AS ?p ) WHERE { ?a property:P355 ?h . ?h rdf:type ontology:Q4830453 . ?a rdf:type ontology:Q28640 } GROUP BY ?h } }
Microsoft Algeria ITV Digital Channels Ltd Alfabet AT&T Corporation BS-TBS Scania-Hytter Centostazioni Nippon Television SAIC Motor UK Record FM Sony Corporation of America EvoBus Gloster Pizza Hut J.P. Morgan Private Bank American Broadcasting Company Chrysler Kol Yisrael Seoul Broadcasting System KNT-CT Holdings Affiliated Computer Services Kazan Helicopters Grandi Stazioni HSBC Bank (China) Standard & Poor's KXEN Inc. Rádio Trânsito DB Schenker Rail Nederland Abbott Mead Vickers BBDO Honda Canada Tokyo Broadcasting System Television Astrium Satellites BandNews FM Detroit Diesel Shine Group Rádio Record Bombardier Transportation Scania Peter WRSO Nikon E.ON UK The Co-operative Food Telemontecarlo Kobo Inc. Radio Kansai MyBus Chiron Corporation 7-Eleven Hallmark Channel Fuji Television Säffle Karosseri Rheinisch-Westfälische Straßen- und Kleinbahnen Boeing Defense, Space & Security SOE Busproduction Finland Pegasus Software AdMob James Villa Holidays OXXO FTI Consulting EMEA Lamborghini BS Japan Kirin Holdings SK Innovation Merseyrail Jet TV Tokyo Odense Steel Shipyard Tupolev Thomas Built Buses MAN Truck & Bus Moreshet CS One Ten CS Nippon Big C DAF RVN Regionalverkehr Niederrhein Helio Aircraft Company Brazilian Agricultural Research Corporation SMFG Card & Credit Band FM Ducati J-F. Lemvigh-Müller Holding Cessna MÁV START Zrt. MBDA DoubleClick Yakovlev Nova TV Jovem Pan FM Sociedade Independente de Comunicação Principles Rádio Estadão HSBC North America Holdings Foundation Systems Fyffes Deloitte Miller Brewing Company Shenyang Aircraft Corporation Chiltern Railways Aabenraa Karrosseri A.P. Møller Holding Scania Production Angers Sct. Oluf Cinemax John Lewis Fieldglass Vauxhall Mitsubishi UFJ Financial Group Massimo Dutti Daimler Trucks North America Convair Airbus Helicopters OCZ Pedigree Petfoods Boeing Helicopters Aeroexpress Stadtwerke Verkehrsgesellschaft Frankfurt am Main The Share Centre Opel Freightliner Trucks Infra Infrastrukturgesellschaft Region Hannover GmbH TBS Radio BVR Busverkehr Rheinland Metismo Abellio Airbus Defence and Space Daimler India Commercial Vehicles Pvt. Ltd. AVIC I Scania-Bussar FTI Consulting APAC Bethesda Game Studios Kadeau Bornholm Compagnie Internationale des Grands Hotels MG Motor Eldorado FM Country Music Television BS Nippon SuccessFactors Columbus Nova NBC Sky Italia S.r.l. DB Schenker Rail Schweiz Cartoon Network HSBC Bank Dansk Automobil Byggeri MGM Worldwide Television TV Asahi Animax WOW! Terracotta, Inc. Volksfürsorge Mitsubishi Fuso Truck of America, Inc. Bath Iron Works Sony Pictures Entertainment WebMethods UKTV S-Bahn Berlin GmbH Scania Production Słupsk Mitsubishi Fuso Truck and Bus Corporation Runtastic Mikoyan France Info TransnetBW Qoros DB Cargo Deutschland Odakyu Hakone Holdings Bethlehem Shipbuilding Corporation DirecTV Latin America Meyers Portefølje BS Asahi Rede 21 Beck's Sport1 Bell Labs Interwoven Sky UK Limited Textron Marine & Land Systems Nippon Broadcasting System Microsoft India R & D Microsoft India YouTube Noma The Body Shop Antonov Volvo Buses FTI Consulting LATAM
Opel, YouTube and Airbus Helicopters are the subordinates of less number of professions than Ubisoft Annecy
Opel YouTube Airbus Helicopters
action less
action find_reverse_tuple_counts
relation subsidiary
type business enterprise
type profession
action count
action filter_type
action find_reverse
entity Ubisoft Annecy
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ( COUNT ( ?i ) AS ?y ) WHERE { ?i property:subsidiary resource:Ubisoft_Annecy . ?i rdf:type ontology:profession } } . FILTER ( ?p < ?y ) . { SELECT DISTINCT ?h ( COUNT ( ?a ) AS ?p ) WHERE { ?a property:subsidiary ?h . ?h rdf:type ontology:business_enterprise . ?a rdf:type ontology:profession } GROUP BY ?h } }
[]
Clarification
Comparative|Count over More/Less|Single entity type|Indirect
P108
Q4830453 Q502895
USER
How many business enterprises are the workplaces of around the same number of people as that business enterprise ?
(c(Q502895),P108,c(Q4830453))
[{'concept': 'Q502895'}, 'P108', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:Q3053337 ?y . ?z rdf:type ontology:Q502895 . ?y rdf:type ontology:Q4830453 }
[{'concept': 'common name'}, 'employer', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:employer ?y . ?z rdf:type ontology:common_name . ?y rdf:type ontology:business_enterprise }
[]
business enterprise common name
Comparative|Count over More/Less|Single entity type|Clarification
Q866
SYSTEM
Did you mean YouTube ?
(c(Q502895),P108,c(Q4830453))
[ANSWER]
[{'concept': 'Q502895'}, 'P108', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:Q3053337 ?y . ?z rdf:type ontology:Q502895 . ?y rdf:type ontology:Q4830453 }
Did you mean YouTube ?
YouTube
[{'concept': 'common name'}, 'employer', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:employer ?y . ?z rdf:type ontology:common_name . ?y rdf:type ontology:business_enterprise }
[]
Comparative Reasoning (Count) (All)
USER
No, I meant Opel. Could you tell me the answer for that?
(c(Q502895),P108,c(Q4830453))
Q40966
[{'concept': 'Q502895'}, 'P108', {'concept': 'Q4830453'}]
[{'concept': 'common name'}, 'employer', {'concept': 'business enterprise'}]
[]
SYSTEM
558
Q17101930 Q4633239 Q6329080 Q1477063 Q2302267 Q843763 Q52825 Q1134268 Q1032491 Q181114 Q928831 Q366567 Q485500 Q1176298 Q663417 Q596499 Q2350223 Q386873 Q7958065 Q1140873 Q168717 Q2814117 Q1348664 Q7281060 Q1022955 Q925995 Q2243734 Q4355153 Q509492 Q6955670 Q11236446 Q5328117 Q2931623 Q7951257 Q1318441 Q1429859 Q2107111 Q3201604 Q4546563 Q1540364 Q1045339 Q18696098 Q194009 Q7831882 Q2304593 Q843784 Q156913 Q229452 Q188326 Q2779611 Q843624 Q6275191 Q6686 Q16496497 Q7494520 Q1975145 Q115146 Q657784 Q21154100 Q1053930 Q1267223 Q1050307 Q229805 Q2661333 Q1062280 Q5159338 Q2225748 Q3414933 Q1918981 Q1238070 Q6333480 Q1551068 Q6457278 Q4643141 Q2931559 Q1322641 Q4633216 Q917258 Q3567818 Q2018133 Q1978363 Q3416629 Q1544319 Q3416625 Q7947005 Q154037 Q5123455 Q8073 Q1070560 Q3564679 Q878427 Q935960 Q1208016 Q7624785 Q2126042 Q1915267 Q22943520 Q4577956 Q765515 Q21509483 Q1197895 Q6326585 Q750213 Q3050972 Q3196539 Q2715155 Q15140477 Q5010781 Q1754271 Q3401855 Q1339465 Q54718 Q7948158 Q269792 Q17073302 Q5476713 Q12871815 Q2867205 Q5011114 Q822314 Q701338 Q2382261 Q94893 Q600805 Q608708 Q7538893 Q2894140 Q1466723 Q7955115 Q2173549 Q735936 Q188508 Q2015856 Q7132749 Q821719 Q3090859 Q6339541 Q2014154 Q1227442 Q196253 Q176035 Q2877626 Q3564814 Q2923456 Q815723 Q1183933 Q1165360 Q655224 Q4546258 Q503176 Q2501854 Q313332 Q2409646 Q1340362 Q917079 Q3225826 Q19910 Q1961361 Q1090951 Q7620559 Q474349 Q155896 Q459083 Q861353 Q19571661 Q7956467 Q3334500 Q3334504 Q632658 Q795598 Q6336823 Q21484214 Q7956946 Q3066783 Q4876908 Q509349 Q624837 Q4382447 Q4590187 Q1475312 Q7105547 Q15875074 Q6327814 Q775216 Q2543025 Q2931643 Q7260913 Q1479450 Q749928 Q1426219 Q1074758 Q491627 Q3564623 Q1544279 Q3564624 Q671510 Q391895 Q2176399 Q328258 Q1188923 Q3067097 Q26986310 Q462763 Q7954831 Q2995398 Q731824 Q11688903 Q3433078 Q798854 Q6324715 Q3454004 Q1339456 Q952062 Q7949353 Q320646 Q13416787 Q3569477 Q333780 Q7949318 Q1067189 Q3029971 Q1071790 Q525894 Q6339973 Q14708546 Q1771942 Q1779703 Q25873993 Q6159823 Q6429123 Q1472738 Q167840 Q4639136 Q918733 Q7946876 Q7692157 Q1853722 Q5871279 Q10385096 Q887091 Q13653071 Q592014 Q795641 Q796840 Q1063455 Q2990397 Q663187 Q742964 Q668687 Q17009142 Q3211887 Q168082 Q7533771 Q650639 Q3129015 Q2364717 Q2928594 Q4636210 Q12027624 Q898825 Q3576232 Q2125955 Q1229307 Q519560 Q950992 Q2743194 Q2164315 Q16988729 Q7192036 Q3191342 Q218115 Q22687 Q259011 Q7952040 Q4787454 Q7186843 Q166419 Q1801365 Q3365538 Q82939 Q14705168 Q3080529 Q10854613 Q1325164 Q1932006 Q2311186 Q767221 Q3359248 Q3323970 Q6340160 Q20894748 Q1258800 Q279413 Q843841 Q3082034 Q12011842 Q3416821 Q4546266 Q2931468 Q18125739 Q169889 Q7316098 Q2989971 Q859635 Q423651 Q950422 Q4834524 Q3564728 Q902771 Q3112810 Q3259704 Q2290583 Q714491 Q329426 Q7951029 Q1324709 Q3082327 Q3443179 Q5010626 Q571438 Q1143787 Q918703 Q1944285 Q795588 Q6335000 Q670999 Q7949607 Q6927533 Q2165627 Q155702 Q1937850 Q6326535 Q7355924 Q1589584 Q3129029 Q289299 Q4641042 Q53268 Q7090383 Q2749941 Q6801505 Q22338295 Q2400761 Q2126387 Q7674943 Q861764 Q207983 Q2931339 Q378424 Q520263 Q2076516 Q328264 Q843732 Q962340 Q1971979 Q5241992 Q215639 Q2869027 Q11236468 Q7941596 Q2138163 Q961891 Q500799 Q4633232 Q459464 Q687175 Q2815509 Q185422 Q7752442 Q2786319 Q17985462 Q37158 Q686817 Q1321122 Q836947 Q301129 Q7957641 Q7824492 Q5296824 Q3077406 Q492747 Q2292969 Q5035664 Q2931654 Q2481428 Q13157885 Q287617 Q1071804 Q399643 Q1428793 Q228389 Q700133 Q1143518 Q7950058 Q369153 Q1820248 Q482607 Q541879 Q283666 Q2309614 Q577922 Q6333790 Q3564778 Q35935 Q694854 Q214480 Q1509312 Q1135434 Q795578 Q528448 Q21511256 Q3191329 Q571833 Q695328 Q225430 Q7281009 Q1510161 Q6335464 Q2600631 Q9065496 Q3310314 Q909032 Q866 Q5310793 Q66 Q668737 Q5350273 Q683873 Q19560766 Q727145 Q7953990 Q3295867 Q1136766 Q1124861 Q971163 Q1532217 Q6482976 Q155096 Q23899289 Q157062 Q3076979 Q564949 Q5909364 Q25872950 Q18811574 Q2748488 Q688893 Q3560647 Q7949870 Q1921064 Q116401 Q6797057 Q745484 Q4409 Q15838829 Q3633141 Q372375 Q3101582 Q5519472 Q26678 Q222029 Q191472 Q5207001 Q7955494 Q720871 Q5600020 Q165765 Q1324062 Q649618 Q2629148 Q164921 Q1114071 Q1522899 Q659512 Q7948586 Q5998584 Q24228 Q4732021 Q4546704 Q3564785 Q605419 Q187409 Q14705373 Q423289 Q3486468 Q1130022 Q155026 Q15995586 Q321620 Q10365620 Q309867 Q664996 Q212128 Q7953594 Q2351312 Q843686 Q1301181 Q3483312 Q40966 Q6333039 Q160746 Q4645933 Q4645936 Q774637 Q7351356 Q1616154 Q6168540 Q6329540 Q7554398 Q2748448 Q3300783 Q17507863 Q7956000 Q654762 Q1681145 Q190795 Q2818999 Q3362703 Q912735 Q309084 Q13974 Q1440772 Q6329760 Q241828 Q6334100 Q693105 Q1723571 Q597933 Q586346 Q3564823 Q1272318 Q8041920 Q7957034 Q7546383 Q6327204 Q3272906 Q1479375 Q7946982 Q1750203 Q1228565 Q193701 Q880256 Q6073293 Q367300 Q1371464 Q14682626 Q633009 Q6330624 Q917203 Q4633077 Q3997890 Q489565 Q3416942 Q6341618 Q7233 Q836325 Q10444865 Q7948578
(c(Q502895),P108,c(Q4830453))
[ANSWER]
[{'concept': 'Q502895'}, 'P108', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:Q3053337 ?y . ?z rdf:type ontology:Q502895 . ?y rdf:type ontology:Q4830453 }
Jil Sander 2WG KFMB-TV VIER RNE Radio Nippon ABB Group Sony Corporation of America Canal 9 Chrysler Seoul Broadcasting System Radio Television of Kosovo Radio Free Europe/Radio Liberty vtm Télé Bruxelles KBR Hertog Jan Pro TV WYLD-FM KTLA ProSieben Robert Stephenson and Company Rockwell International Radio Sport CBC Television Missouri–Kansas–Texas Railroad Gispen KCET Eesti Televisioon NU 107 Radio Kansai East Coast FM CKAC WJLA-TV AdMob Radio Contact Radio Veronica GMA News TV 105.7 ABC Darwin WNYW Carrozzeria Ghia COM Ràdio Tupolev Tracy and Swartwout South Wales Railway Sanyo Broadcasting Bertelsmann 3FM Hennes & Mauritz Studio Brussel RCC Broadcasting Jones Day Renault Band FM Shepley, Rutan and Coolidge TNT Tokyo Metropolitan Television Mare Island Naval Shipyard Marks Barfield Architects Central Pacific Railroad RTL Televizija Catalunya Ràdio 3sat RTV Utrecht Channel 5 Condor Club Omroep Gelderland Recreational Equipment, Inc. John Lewis Pilbeam Racing Designs KMEX-DT WNYC LBC 720 ABC Perth CITY-DT France 3 2SM elBulli Warren and Wetmore TV3 Nesselsdorfer Wagenbau-Fabriks-Gesellschaft Radio Côte d'Ivoire Great North of Scotland Railway Radio Cooperativa WBBM-TV Total S.A. City Talk 105.9 Arte Chesapeake and Ohio Railway WHDH Kiepenheuer & Witsch TV3 Foster + Partners Stroock & Stroock & Lavan Radio DDR 2 McKim, Mead & White tiskárna B. Grund a V. Svatoň Aermacchi Magyar Rádió Infras Pennsylvania Railroad KCBS TFO WLS-TV Radio Luxembourg ITV2 Radio Busto Libera CFRB STS Première Chaîne Henning Larsen Architects Yle, the Finnish Broadcasting Company WCVB-TV Ferrero SpA Optimizely 21st Century Fox 902 Left FM Assistance Publique – Hôpitaux de Paris CHEZ-FM Sony Pictures Entertainment C&A KNBC Rockstar North Canal 13 RÚV Slater and Gordon Bel RTL TV4 WRKO De Librije Nostalgie Mikoyan Officine Stampaggi Industriali Paperless Post Berliner Rundfunk 91.4 Fun Radio Belgium KUHT Joh. Enschedé Direct 8 Hughes Aircraft Company Breguet Aviation NBC News WUAB Bradbury and Evans Bell Helicopter Delaware, Lackawanna and Western Railroad laSexta British Aircraft Corporation 101.3 Sea FM Christie's RTV Drenthe Sat.1 Au vieux campeur Radio Classique Norfolk and Western Railway The Poste Parisien Le Mouv' NRJ Chérie FM Stoughton and Stoughton RTL-TVI Fokker ATR Guy Motors Radio Entreolas WTVF NRJ Québec NRJ Belgium RTÉ Radio 1 BBC Radio 4 KRLA Sir and Star WVOL RNE Ràdio 4 Beat 102 103 Decathlon Group Gibraltar Broadcasting Corporation Caracol Radio Absolute Radio Vinci Osaka Broadcasting Corporation Evers & Sarlemijn KDFW WOWOW Banque Cantonale du Valais CKMF-FM Purcell Miller Tritton TV3 Echo of Moscow Sopwith Aviation Company Chiron Corporation Hugo Boss WBRC Great Eastern Railway WBMA-LD National Public Radio Siemens Mobility De Karmeliet Television Hokkaido TVA Radio Clásica Wachtell, Lipton, Rosen and Katz Deutsche Gesellschaft für Internationale Zusammenarbeit WQXR-FM Contact FM Univision Brewery Trutnov Rire & Chansons Army Radio KABC Rythme FM Brazilian Agricultural Research Corporation Hawker Siddeley WFLD Großdeutscher Rundfunk Engie Wit FM Yakovlev WFIL Polskie Radio KABC-TV Chicago, Burlington and Quincy Railroad France 2 KVEA KWTV-DT United Fruit Company Lancashire and Yorkshire Railway Day & Haghe Jardine Fleming Kong Hans Kælder New York, New Haven and Hartford Railroad Hydro-Québec 4fm British Aerospace WAXY Tech Cocktail TV 2 HitFix Tropical FM Blériot Newstalk Télé Tchad BBTV Channel 7 BNR Newsradio The Lego Group Compañía de los Ferrocarriles de Madrid a Zaragoza y Alicante Chemins de fer de l'Est RCTV United States Postal Service KOFM La Première Hungarian State Railways Skai 100.3 Aérospatiale Heart The French Laundry BuroHappold Engineering 3AW KCWU Mil Moscow Helicopter Plant Ztélé Radio Africa No. 1 Dissing+Weitling North American Aviation Channel Africa Canal Sur Société Pour L'Aviation et ses Dérivés Kantipur Publications Pierre & Wright KCBS-TV Chanel bank Motorola WKY Arcop Phoenix FM Fox Broadcasting Company BBC Radio Norfolk Manx Radio 538 KSNV Realitatea TV KSAZ-TV Television Saitama Midland Railway WEWS-TV CTV Television Network Ouï FM RAC 1 KVOA Thomas A. Edison, Inc. Radio Donna Telemadrid Tokyo FM FM Yokohama Ørestad Development Corporation Radio Rennes Bretagne 101.7 WSFM CHRD-FM Housing.com American Broadcasting Company Restaurant Vermeer Compagnie des mines d'Anzin Bigelow Aerospace ATV Compagnie du Nord - Belge BAE Systems Inc. WMMS Bravo Government Aircraft Factories Los Angeles Department of Water and Power Siemens & Halske Marks & Spencer Danone WIYY TV Osaka FM Okinawa Rouge FM CFGO BBDO Television Kanagawa Hit FM Radio Paris BBC Radio 5 Live KOLO-TV Couleur 3 WFXT Moxon & Kobrin Sunbeam RTL Television Ogilvy & Mather KCAL-TV Rocky Mountain PBS Europa Plus Heart West Midlands Carlsen Verlag 5AA Toyota Omnifone The Dorchester McGuireWoods tiskárna František Rebec Chante France Radio ffn Taff Vale Railway CBS News Monsanto CFGL-FM TV3 Farman Aviation Works Peter Kölln KGaA TV Setouchi Nishinippon Broadcasting Cuatro Radio Mayak Davis Wright Tremaine Opera Software Athena 98.4 FM Radio Okinawa Vonnegut, Wright & Yeager TV5Monde FIP Ubisoft Toronto 2UE Skidmore, Owings and Merrill Deutsche Bundesbahn NRK P3 KSFO The Motley Fool Tiger Albert Kahn Associates Starbucks RTL 4 All India Radio Convair Telecinco WXIA-TV Top FM Donovan, Leisure, Newton & Irvine KTTV Dole Food Company Radio Nova Capital South Coast CKOY-FM De Leest Today FM ABS-CBN Corporation Chicago, Milwaukee, St. Paul and Pacific Railroad GMA Network Sud Aviation Voice of America Südwestrundfunk Telefe WHAV La Red Sea Grill Munhwa Broadcasting Corporation Chemins de fer du Nord de Havilland Holabird & Root Radio Télévision Libre des Mille Collines KMOX WQAM Lotus cars Fellner & Helmer Dolce & Gabbana Maubeuge Construction Automobile Northern Pacific Railway BBC Radio 2 Chubu-Nippon Broadcasting Interface KATU Antena 3 Deutschlandfunk TVNorge Radio România Actualităţi Swedish Cooperative Union KPBS Q-music RCN Radio WJAC-TV Nippon Broadcasting System YouTube Dublin's Q102 Boeing Yum! Brands UKTV Prussian state railways Howe, Manning & Almy, Inc. Asia Television WOSU-TV The Coca-Cola Company Fairchild Aircraft France Télévisions TMC Gloster Lancashire, Derbyshire and East Coast Railway NT1 Pierre André Unilever London Weekend Television Deutschlandradio Kultur Hostellerie De Hamert Day & Son Meta Cadena COPE Bombardier Transportation Virgin Radio WGN Mephisto 97.6 Schweizer Fernsehen Mayer Brown Venevisión Sinclair Research Kayser und von Großheim East Indian Railway Company Sud Radio Radio 3 Galway Bay FM BMW 2GB BBC One DZLB-FM WSB-TV Naughty Dog Great Southern and Western Railway Dornier Television Aichi Broadcasting Rádio e Televisão de Portugal Hof van Cleve Radio Australia Klubrádió Triple J Ici Musique WDSU Compagnie du chemin de fer de Paris à Orléans 343 Industries Allens 107.8 Radio Jackie WRMI TV Nova Belsat TV New Hampshire Public Television BBC World Service Skyrock London and South Western Railway United Parcel Service WHUT-TV WDR 2 Rádio Capital Arianespace Radio Netherlands Worldwide NHK WNSW Herzog, Fox & Ne'eman Kyushu Asahi Broadcasting London and Birmingham Railway Sidley Austin Opel KLST Nestlé 94.5 Kfm 94.7 Highveld Stereo TV3 Robert and Company TV 2 XENET-AM KGBX-FM Softwire Onda Cero Bethesda Game Studios 4INFO WSVN Sotheby's Statkraft Roscosmos State Corporation ABC Classic FM C. F. Møller Architects Croatian Radiotelevision Alstom NBC France 5 KGMZ Kamov KBOQ Highland Railway Kanal 5 Televisión Nacional de Chile Westland Aircraft WVUE-DT Great Northern Railway XETV-TDT WVTM-TV Smooth 95.3 KCOP-TV MFM Radio MTR Corporation WBAY-TV North British Railway Discovery Channel SpaceX Black Entertainment Television tvem Magyar Televízió New York Central Railroad KMAX-TV Polskie Radio Program III KIEM-TV Nippon Cultural Broadcasting 2CH Caledonian Railway London, Brighton and South Coast Railway National Iranian Radio & Television KXTV Lockheed Messerschmitt-Bölkow-Blohm ITV Central WDSI-TV
558
[{'concept': 'common name'}, 'employer', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { ?z property:employer ?y . ?z rdf:type ontology:common_name . ?y rdf:type ontology:business_enterprise }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Mult. entity type
P749
Q43229 Q28640 Q28640
USER
Which professions have max number of organizations or professions as their parent organization ?
(c(Q28640),P749,c(Q43229)|c(Q28640))
action argmax
action union
action find_tuple_counts
relation P749
type Q28640
type Q43229
action find_tuple_counts
relation P749
type Q28640
type Q28640
[{'concept': 'Q28640'}, 'P749', [{'concept': 'Q43229'}, {'concept': 'Q28640'}]]
SELECT DISTINCT ?j WHERE { { SELECT DISTINCT ( MAX ( ?t ) AS ?n ) { SELECT DISTINCT ( COUNT ( ?a ) AS ?t ) ?c WHERE { VALUES ( ?f ) { ( ontology:Q43229 ) ( ontology:Q28640 ) } . ?a rdf:type ?f } GROUP BY ?c } } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?q ) ?j WHERE { VALUES ( ?h ) { ( ontology:Q43229 ) ( ontology:Q28640 ) } . ?u rdf:type ?h } GROUP BY ?j } . FILTER ( ?q = ?n ) }
action argmax
action union
action find_tuple_counts
relation parent organization
type profession
type organization
action find_tuple_counts
relation parent organization
type profession
type profession
[{'concept': 'profession'}, 'parent organization', [{'concept': 'organization'}, {'concept': 'profession'}]]
SELECT DISTINCT ?j WHERE { { SELECT DISTINCT ( MAX ( ?t ) AS ?n ) { SELECT DISTINCT ( COUNT ( ?a ) AS ?t ) ?c WHERE { VALUES ( ?f ) { ( ontology:organization ) ( ontology:profession ) } . ?a rdf:type ?f } GROUP BY ?c } } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?q ) ?j WHERE { VALUES ( ?h ) { ( ontology:organization ) ( ontology:profession ) } . ?u rdf:type ?h } GROUP BY ?j } . FILTER ( ?q = ?n ) }
[]
organization profession profession
Q800120
SYSTEM
Humongous
Q800120
(c(Q28640),P749,c(Q43229)|c(Q28640))
action argmax
action union
action find_tuple_counts
relation P749
type Q28640
type Q43229
action find_tuple_counts
relation P749
type Q28640
type Q28640
[ANSWER] have max number of organizations or professions as their parent organization
[{'concept': 'Q28640'}, 'P749', [{'concept': 'Q43229'}, {'concept': 'Q28640'}]]
SELECT DISTINCT ?j WHERE { { SELECT DISTINCT ( MAX ( ?t ) AS ?n ) { SELECT DISTINCT ( COUNT ( ?a ) AS ?t ) ?c WHERE { VALUES ( ?f ) { ( ontology:Q43229 ) ( ontology:Q28640 ) } . ?a rdf:type ?f } GROUP BY ?c } } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?q ) ?j WHERE { VALUES ( ?h ) { ( ontology:Q43229 ) ( ontology:Q28640 ) } . ?u rdf:type ?h } GROUP BY ?j } . FILTER ( ?q = ?n ) }
Humongous
Humongous have max number of organizations or professions as their parent organization
Humongous
action argmax
action union
action find_tuple_counts
relation parent organization
type profession
type organization
action find_tuple_counts
relation parent organization
type profession
type profession
[{'concept': 'profession'}, 'parent organization', [{'concept': 'organization'}, {'concept': 'profession'}]]
SELECT DISTINCT ?j WHERE { { SELECT DISTINCT ( MAX ( ?t ) AS ?n ) { SELECT DISTINCT ( COUNT ( ?a ) AS ?t ) ?c WHERE { VALUES ( ?f ) { ( ontology:organization ) ( ontology:profession ) } . ?a rdf:type ?f } GROUP BY ?c } } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?q ) ?j WHERE { VALUES ( ?h ) { ( ontology:organization ) ( ontology:profession ) } . ?u rdf:type ?h } GROUP BY ?j } . FILTER ( ?q = ?n ) }
[]
Verification (Boolean) (All)
Verification|3 entities, all direct, 2 are query entities
Q800120 Q506289 Q159
P17
Q15617994
USER
Is Humongous located in Marktleuthen and Russia ?
(Q800120,P17,Q506289) (Q800120,P17,Q159)
action is_in
entity Q800120
action intersection
action find_reverse
entity Q506289
relation P17
action find_reverse
entity Q159
relation P17
['Q800120', 'P17', 'Q506289'] ['Q800120', 'P17', 'Q159']
ASK WHERE { resource:Q800120 property:P17 resource:Q506289 . resource:Q800120 property:P17 resource:Q159 }
Humongous Marktleuthen Russia
action is_in
entity Humongous
action intersection
action find_reverse
entity Marktleuthen
relation country
action find_reverse
entity Russia
relation country
['Humongous', 'country', 'Marktleuthen'] ['Humongous', 'country', 'Russia']
ASK WHERE { resource:Humongous property:country resource:Marktleuthen . resource:Humongous property:country resource:Russia }
[]
designation for an administrative territorial entity
SYSTEM
NO and YES respectively
(Q800120,P17,Q506289) (Q800120,P17,Q159)
action is_in
entity Q800120
action intersection
action find_reverse
entity Q506289
relation P17
action find_reverse
entity Q159
relation P17
[ANSWER]
['Q800120', 'P17', 'Q506289'] ['Q800120', 'P17', 'Q159']
ASK WHERE { resource:Q800120 property:P17 resource:Q506289 . resource:Q800120 property:P17 resource:Q159 }
NO and YES respectively
action is_in
entity Humongous
action intersection
action find_reverse
entity Marktleuthen
relation country
action find_reverse
entity Russia
relation country
['Humongous', 'country', 'Marktleuthen'] ['Humongous', 'country', 'Russia']
ASK WHERE { resource:Humongous property:country resource:Marktleuthen . resource:Humongous property:country resource:Russia }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Single entity type
Q739711
P355
Q28640 Q28640
USER
How many professions are subsidiaries of lesser number of professions than Epic Games ?
(c(Q28640),P355,c(Q28640))
action count
action less
action find_reverse_tuple_counts
relation P355
type Q28640
type Q28640
action count
action filter_type
action find_reverse
entity Q739711
relation P355
type Q28640
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?w ) AS ?m ) WHERE { { SELECT DISTINCT ?w ( COUNT ( ?c ) AS ?s ) WHERE { ?c property:P355 ?w . ?w rdf:type ontology:Q28640 . ?c rdf:type ontology:Q28640 } GROUP BY ?w } . FILTER ( ?s < ?j ) . { SELECT DISTINCT ( COUNT ( ?e ) AS ?j ) WHERE { ?e property:P355 resource:Q739711 . ?e rdf:type ontology:Q28640 } } }
Epic Games
action count
action less
action find_reverse_tuple_counts
relation subsidiary
type profession
type profession
action count
action filter_type
action find_reverse
entity Epic Games
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?w ) AS ?m ) WHERE { { SELECT DISTINCT ?w ( COUNT ( ?c ) AS ?s ) WHERE { ?c property:subsidiary ?w . ?w rdf:type ontology:profession . ?c rdf:type ontology:profession } GROUP BY ?w } . FILTER ( ?s < ?j ) . { SELECT DISTINCT ( COUNT ( ?e ) AS ?j ) WHERE { ?e property:subsidiary resource:Epic_Games . ?e rdf:type ontology:profession } } }
[]
profession profession
SYSTEM
24
Q3281900 Q1064703 Q863618 Q6423274 Q1403157 Q2607531 Q7641092 Q123018 Q2660350 Q991149 Q204474 Q1129295 Q13409231 Q122741 Q73801 Q18594 Q2740414 Q15018011 Q860580 Q1692707 Q467598 Q959672 Q1358751 Q3052263
(c(Q28640),P355,c(Q28640))
action count
action less
action find_reverse_tuple_counts
relation P355
type Q28640
type Q28640
action count
action filter_type
action find_reverse
entity Q739711
relation P355
type Q28640
[ANSWER]
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?w ) AS ?m ) WHERE { { SELECT DISTINCT ?w ( COUNT ( ?c ) AS ?s ) WHERE { ?c property:P355 ?w . ?w rdf:type ontology:Q28640 . ?c rdf:type ontology:Q28640 } GROUP BY ?w } . FILTER ( ?s < ?j ) . { SELECT DISTINCT ( COUNT ( ?e ) AS ?j ) WHERE { ?e property:P355 resource:Q739711 . ?e rdf:type ontology:Q28640 } } }
Malfador Machinations PopCap Games Feral Interactive Knowledge Adventure WMS Industries Harmonix Music Systems Sunrise Interactive Nintendo Software Technology Havok 1-UP Studio id Software Mojang Atari, Inc. Sega Microsoft Studios Sony Interactive Entertainment Team Ninja Atari Interactive Tencent Holdings Square Enix Europe Cryptic Studios Daybreak Game Company Runic Games Omega Force
24
action count
action less
action find_reverse_tuple_counts
relation subsidiary
type profession
type profession
action count
action filter_type
action find_reverse
entity Epic Games
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?w ) AS ?m ) WHERE { { SELECT DISTINCT ?w ( COUNT ( ?c ) AS ?s ) WHERE { ?c property:subsidiary ?w . ?w rdf:type ontology:profession . ?c rdf:type ontology:profession } GROUP BY ?w } . FILTER ( ?s < ?j ) . { SELECT DISTINCT ( COUNT ( ?e ) AS ?j ) WHERE { ?e property:subsidiary resource:Epic_Games . ?e rdf:type ontology:profession } } }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Single entity type|Incomplete
Q18414205
P355
Q28640 Q28640
USER
And also tell me about Future Games Of London?
(c(Q28640),P355,c(Q28640))
action count
action less
action find_reverse_tuple_counts
relation P355
type Q28640
type Q28640
action count
action filter_type
action find_reverse
entity Q18414205
relation P355
type Q28640
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) WHERE { { SELECT DISTINCT ?z ( COUNT ( ?j ) AS ?m ) WHERE { ?j rdf:type ontology:Q28640 . ?z rdf:type ontology:Q28640 . ?j property:P355 ?z } GROUP BY ?z } . { SELECT DISTINCT ( COUNT ( ?t ) AS ?d ) WHERE { ?t property:P355 resource:Q18414205 . ?t rdf:type ontology:Q28640 } } . FILTER ( ?m < ?d ) }
Future Games Of London
action count
action less
action find_reverse_tuple_counts
relation subsidiary
type profession
type profession
action count
action filter_type
action find_reverse
entity Future Games Of London
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) WHERE { { SELECT DISTINCT ?z ( COUNT ( ?j ) AS ?m ) WHERE { ?j rdf:type ontology:profession . ?z rdf:type ontology:profession . ?j property:subsidiary ?z } GROUP BY ?z } . { SELECT DISTINCT ( COUNT ( ?t ) AS ?d ) WHERE { ?t property:subsidiary resource:Future_Games_Of_London . ?t rdf:type ontology:profession } } . FILTER ( ?m < ?d ) }
[]
profession profession
SYSTEM
24
Q3281900 Q1064703 Q863618 Q6423274 Q1403157 Q2607531 Q7641092 Q123018 Q2660350 Q991149 Q204474 Q1129295 Q13409231 Q122741 Q73801 Q18594 Q2740414 Q15018011 Q860580 Q1692707 Q467598 Q959672 Q1358751 Q3052263
(c(Q28640),P355,c(Q28640))
action count
action less
action find_reverse_tuple_counts
relation P355
type Q28640
type Q28640
action count
action filter_type
action find_reverse
entity Q18414205
relation P355
type Q28640
[ANSWER]
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) WHERE { { SELECT DISTINCT ?z ( COUNT ( ?j ) AS ?m ) WHERE { ?j rdf:type ontology:Q28640 . ?z rdf:type ontology:Q28640 . ?j property:P355 ?z } GROUP BY ?z } . { SELECT DISTINCT ( COUNT ( ?t ) AS ?d ) WHERE { ?t property:P355 resource:Q18414205 . ?t rdf:type ontology:Q28640 } } . FILTER ( ?m < ?d ) }
Malfador Machinations PopCap Games Feral Interactive Knowledge Adventure WMS Industries Harmonix Music Systems Sunrise Interactive Nintendo Software Technology Havok 1-UP Studio id Software Mojang Atari, Inc. Sega Microsoft Studios Sony Interactive Entertainment Team Ninja Atari Interactive Tencent Holdings Square Enix Europe Cryptic Studios Daybreak Game Company Runic Games Omega Force
24
action count
action less
action find_reverse_tuple_counts
relation subsidiary
type profession
type profession
action count
action filter_type
action find_reverse
entity Future Games Of London
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) WHERE { { SELECT DISTINCT ?z ( COUNT ( ?j ) AS ?m ) WHERE { ?j rdf:type ontology:profession . ?z rdf:type ontology:profession . ?j property:subsidiary ?z } GROUP BY ?z } . { SELECT DISTINCT ( COUNT ( ?t ) AS ?d ) WHERE { ?t property:subsidiary resource:Future_Games_Of_London . ?t rdf:type ontology:profession } } . FILTER ( ?m < ?d ) }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q800120
P452
Q268592
USER
Which industry does Humongous belong to ?
(Q800120,P452,c(Q268592))
action filter_type
action find
entity Q800120
relation P452
type Q268592
['Q800120', 'P452', {'concept': 'Q268592'}]
SELECT DISTINCT ?u WHERE { resource:Q800120 property:P452 ?u . ?u rdf:type ontology:Q268592 }
Humongous
action filter_type
action find
entity Humongous
relation industry
type economic branch
['Humongous', 'industry', {'concept': 'economic branch'}]
SELECT DISTINCT ?u WHERE { resource:Humongous property:industry ?u . ?u rdf:type ontology:economic_branch }
[]
economic branch
Q941594
SYSTEM
video game industry
Q941594
(Q800120,P452,c(Q268592))
action filter_type
action find
entity Q800120
relation P452
type Q268592
Humongous belongs to [ANSWER]
['Q800120', 'P452', {'concept': 'Q268592'}]
SELECT DISTINCT ?u WHERE { resource:Q800120 property:P452 ?u . ?u rdf:type ontology:Q268592 }
video game industry
Humongous belongs to video game industry
video game industry
action filter_type
action find
entity Humongous
relation industry
type economic branch
['Humongous', 'industry', {'concept': 'economic branch'}]
SELECT DISTINCT ?u WHERE { resource:Humongous property:industry ?u . ?u rdf:type ontology:economic_branch }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q1056264
P159
Q15617994
USER
Which administrative territory is the head office of Ghezzi & Brian ?
(Q1056264,P159,c(Q15617994))
action filter_type
action find
entity Q1056264
relation P159
type Q15617994
['Q1056264', 'P159', {'concept': 'Q15617994'}]
SELECT DISTINCT ?p WHERE { resource:Q1056264 property:P159 ?p . ?p rdf:type ontology:Q15617994 }
Ghezzi & Brian
action filter_type
action find
entity Ghezzi & Brian
relation headquarters location
type designation for an administrative territorial entity
['Ghezzi & Brian', 'headquarters location', {'concept': 'designation for an administrative territorial entity'}]
SELECT DISTINCT ?p WHERE { resource:Ghezzi_&_Brian property:headquarters_location ?p . ?p rdf:type ontology:designation_for_an_administrative_territorial_entity }
[]
designation for an administrative territorial entity
Q42554
SYSTEM
Missaglia
Q42554
(Q1056264,P159,c(Q15617994))
action filter_type
action find
entity Q1056264
relation P159
type Q15617994
[ANSWER] is the head office of Ghezzi & Brian
['Q1056264', 'P159', {'concept': 'Q15617994'}]
SELECT DISTINCT ?p WHERE { resource:Q1056264 property:P159 ?p . ?p rdf:type ontology:Q15617994 }
Missaglia
Missaglia is the head office of Ghezzi & Brian
Missaglia
action filter_type
action find
entity Ghezzi & Brian
relation headquarters location
type designation for an administrative territorial entity
['Ghezzi & Brian', 'headquarters location', {'concept': 'designation for an administrative territorial entity'}]
SELECT DISTINCT ?p WHERE { resource:Ghezzi_&_Brian property:headquarters_location ?p . ?p rdf:type ontology:designation_for_an_administrative_territorial_entity }
[]
Simple Question (Ellipsis)
only subject is changed, parent and predicate remains same
Q814159
Q15617994
USER
And also tell me about Beez Entertainment?
(Q814159,P159,c(Q15617994))
action filter_type
action find
entity Q814159
relation P159
type Q15617994
['Q814159', 'P159', {'concept': 'Q15617994'}]
SELECT DISTINCT ?f WHERE { resource:Q814159 property:P159 ?f . ?f rdf:type ontology:Q15617994 }
Beez Entertainment
action filter_type
action find
entity Beez Entertainment
relation headquarters location
type designation for an administrative territorial entity
['Beez Entertainment', 'headquarters location', {'concept': 'designation for an administrative territorial entity'}]
SELECT DISTINCT ?f WHERE { resource:Beez_Entertainment property:headquarters_location ?f . ?f rdf:type ontology:designation_for_an_administrative_territorial_entity }
[]
designation for an administrative territorial entity
Q142
SYSTEM
France
Q142
(Q814159,P159,c(Q15617994))
action filter_type
action find
entity Q814159
relation P159
type Q15617994
[ANSWER]
['Q814159', 'P159', {'concept': 'Q15617994'}]
SELECT DISTINCT ?f WHERE { resource:Q814159 property:P159 ?f . ?f rdf:type ontology:Q15617994 }
France
France
action filter_type
action find
entity Beez Entertainment
relation headquarters location
type designation for an administrative territorial entity
['Beez Entertainment', 'headquarters location', {'concept': 'designation for an administrative territorial entity'}]
SELECT DISTINCT ?f WHERE { resource:Beez_Entertainment property:headquarters_location ?f . ?f rdf:type ontology:designation_for_an_administrative_territorial_entity }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Mult. entity type
Q122741
P355
Q28640 Q4830453 Q1269299
USER
How many professions are approximately the same number of business enterprises and business organizations the parent company of as Sega ?
(c(Q4830453)|c(Q1269299),P355,c(Q28640))
action count
action approx
action union
action find_reverse_tuple_counts
relation P355
type Q28640
type Q4830453
action find_reverse_tuple_counts
relation P355
type Q28640
type Q1269299
action count
action filter_multi_types
action find_reverse
entity Q122741
relation P355
type Q4830453
type Q1269299
[[{'concept': 'Q4830453'}, {'concept': 'Q1269299'}], 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?v ) AS ?b ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?t ) ?v WHERE { { ?h property:P355 ?v . ?v rdf:type ontology:Q28640 . ?h rdf:type ontology:Q4830453 } UNION { ?v rdf:type ontology:Q28640 . ?h rdf:type ontology:Q1269299 . ?h property:P355 ?v } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?w ) WHERE { ?a property:P355 resource:Q122741 . { { ?a rdf:type ontology:Q4830453 } UNION { ?a rdf:type ontology:Q1269299 } } } } . FILTER ( ?t = ?w ) }
Sega
action count
action approx
action union
action find_reverse_tuple_counts
relation subsidiary
type profession
type business enterprise
action find_reverse_tuple_counts
relation subsidiary
type profession
type type of business entity
action count
action filter_multi_types
action find_reverse
entity Sega
relation subsidiary
type business enterprise
type type of business entity
[[{'concept': 'business enterprise'}, {'concept': 'type of business entity'}], 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?v ) AS ?b ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?t ) ?v WHERE { { ?h property:subsidiary ?v . ?v rdf:type ontology:profession . ?h rdf:type ontology:business_enterprise } UNION { ?v rdf:type ontology:profession . ?h rdf:type ontology:type_of_business_entity . ?h property:subsidiary ?v } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?w ) WHERE { ?a property:subsidiary resource:Sega . { { ?a rdf:type ontology:business_enterprise } UNION { ?a rdf:type ontology:type_of_business_entity } } } } . FILTER ( ?t = ?w ) }
[]
profession business enterprise type of business entity
SYSTEM
9
Q1403157 Q1129295 Q122741 Q73801 Q2740414 Q15018011 Q1692707 Q959672 Q3052263
(c(Q4830453)|c(Q1269299),P355,c(Q28640))
action count
action approx
action union
action find_reverse_tuple_counts
relation P355
type Q28640
type Q4830453
action find_reverse_tuple_counts
relation P355
type Q28640
type Q1269299
action count
action filter_multi_types
action find_reverse
entity Q122741
relation P355
type Q4830453
type Q1269299
[ANSWER]
[[{'concept': 'Q4830453'}, {'concept': 'Q1269299'}], 'P355', {'concept': 'Q28640'}]
SELECT DISTINCT ( COUNT ( ?v ) AS ?b ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?t ) ?v WHERE { { ?h property:P355 ?v . ?v rdf:type ontology:Q28640 . ?h rdf:type ontology:Q4830453 } UNION { ?v rdf:type ontology:Q28640 . ?h rdf:type ontology:Q1269299 . ?h property:P355 ?v } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?w ) WHERE { ?a property:P355 resource:Q122741 . { { ?a rdf:type ontology:Q4830453 } UNION { ?a rdf:type ontology:Q1269299 } } } } . FILTER ( ?t = ?w ) }
WMS Industries Mojang Sega Microsoft Studios Team Ninja Atari Interactive Square Enix Europe Daybreak Game Company Omega Force
9
action count
action approx
action union
action find_reverse_tuple_counts
relation subsidiary
type profession
type business enterprise
action find_reverse_tuple_counts
relation subsidiary
type profession
type type of business entity
action count
action filter_multi_types
action find_reverse
entity Sega
relation subsidiary
type business enterprise
type type of business entity
[[{'concept': 'business enterprise'}, {'concept': 'type of business entity'}], 'subsidiary', {'concept': 'profession'}]
SELECT DISTINCT ( COUNT ( ?v ) AS ?b ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?t ) ?v WHERE { { ?h property:subsidiary ?v . ?v rdf:type ontology:profession . ?h rdf:type ontology:business_enterprise } UNION { ?v rdf:type ontology:profession . ?h rdf:type ontology:type_of_business_entity . ?h property:subsidiary ?v } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?w ) WHERE { ?a property:subsidiary resource:Sega . { { ?a rdf:type ontology:business_enterprise } UNION { ?a rdf:type ontology:type_of_business_entity } } } } . FILTER ( ?t = ?w ) }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Single entity type
Q104780
P20
Q486972
USER
How many human settlements are the places of death of Bruno Kurowski ?
(Q104780,P20,c(Q486972))
action count
action filter_type
action find
entity Q104780
relation P20
type Q486972
['Q104780', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ( COUNT ( ?b ) AS ?y ) WHERE { resource:Q104780 property:P20 ?b . ?b rdf:type ontology:Q486972 }
Bruno Kurowski
action count
action filter_type
action find
entity Bruno Kurowski
relation place of death
type human settlement
['Bruno Kurowski', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ( COUNT ( ?b ) AS ?y ) WHERE { resource:Bruno_Kurowski property:place_of_death ?b . ?b rdf:type ontology:human_settlement }
[]
human settlement
SYSTEM
1
Q1792
(Q104780,P20,c(Q486972))
action count
action filter_type
action find
entity Q104780
relation P20
type Q486972
[ANSWER]
['Q104780', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ( COUNT ( ?b ) AS ?y ) WHERE { resource:Q104780 property:P20 ?b . ?b rdf:type ontology:Q486972 }
Gdańsk
1
action count
action filter_type
action find
entity Bruno Kurowski
relation place of death
type human settlement
['Bruno Kurowski', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ( COUNT ( ?b ) AS ?y ) WHERE { resource:Bruno_Kurowski property:place_of_death ?b . ?b rdf:type ontology:human_settlement }
[]
Quantitative Reasoning (Count) (All)
Incomplete count-based ques
Q3760672
Q486972
USER
And also tell me about George White?
(Q3760672,P20,c(Q486972))
action count
action filter_type
action find
entity Q3760672
relation P20
type Q486972
['Q3760672', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { resource:Q3760672 property:P20 ?h . ?h rdf:type ontology:Q486972 }
George White
action count
action filter_type
action find
entity George White
relation place of death
type human settlement
['George White', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { resource:George_White property:place_of_death ?h . ?h rdf:type ontology:human_settlement }
[]
human settlement
SYSTEM
1
(Q3760672,P20,c(Q486972))
action count
action filter_type
action find
entity Q3760672
relation P20
type Q486972
[ANSWER]
['Q3760672', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { resource:Q3760672 property:P20 ?h . ?h rdf:type ontology:Q486972 }
1
action count
action filter_type
action find
entity George White
relation place of death
type human settlement
['George White', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ( COUNT ( ?h ) AS ?l ) WHERE { resource:George_White property:place_of_death ?h . ?h rdf:type ontology:human_settlement }
[]