Simple Question (Direct)
Simple Question
Q1078032
P740
Q56061
USER
Which administrative territory is the location of formation of The Whip ?
(Q1078032,P740,c(Q56061))
action filter_type
action find
entity Q1078032
relation P740
type Q56061
['Q1078032', 'P740', {'concept': 'Q56061'}]
SELECT DISTINCT ?s WHERE { resource:Q1078032 property:P740 ?s . ?s rdf:type ontology:Q56061 }
The Whip
action filter_type
action find
entity The Whip
relation location of formation
type administrative territorial entity
['The Whip', 'location of formation', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ?s WHERE { resource:The_Whip property:location_of_formation ?s . ?s rdf:type ontology:administrative_territorial_entity }
[]
administrative territorial entity
Q202628
SYSTEM
Oldham
Q202628
(Q1078032,P740,c(Q56061))
action filter_type
action find
entity Q1078032
relation P740
type Q56061
[ANSWER] is the location of formation of The Whip
['Q1078032', 'P740', {'concept': 'Q56061'}]
SELECT DISTINCT ?s WHERE { resource:Q1078032 property:P740 ?s . ?s rdf:type ontology:Q56061 }
Oldham
Oldham is the location of formation of The Whip
Oldham
action filter_type
action find
entity The Whip
relation location of formation
type administrative territorial entity
['The Whip', 'location of formation', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ?s WHERE { resource:The_Whip property:location_of_formation ?s . ?s rdf:type ontology:administrative_territorial_entity }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q202628
P159
Q43229
USER
Which organizations have HQ at that administrative territory ?
(c(Q43229),P159,Q202628)
action filter_type
action find_reverse
entity Q202628
relation P159
type Q43229
[{'concept': 'Q43229'}, 'P159', 'Q202628']
SELECT DISTINCT ?t WHERE { ?t rdf:type ontology:Q43229 . ?t property:P159 resource:Q202628 }
Oldham
action filter_type
action find_reverse
entity Oldham
relation headquarters location
type organization
[{'concept': 'organization'}, 'headquarters location', 'Oldham']
SELECT DISTINCT ?t WHERE { ?t rdf:type ontology:organization . ?t property:headquarters_location resource:Oldham }
[]
organization
Q1426765 Q19654720 Q4803130
SYSTEM
Seddon Atkinson, Betta Living, Asa Lees
Q19654720 Q4803130 Q8033939 Q4841980 Q1426765 Q7900758 Q7620529 Q4983340
(c(Q43229),P159,Q202628)
action filter_type
action find_reverse
entity Q202628
relation P159
type Q43229
[ANSWERS] have HQ at that administrative territory
[{'concept': 'Q43229'}, 'P159', 'Q202628']
SELECT DISTINCT ?t WHERE { ?t rdf:type ontology:Q43229 . ?t property:P159 resource:Q202628 }
Betta Living Asa Lees Woolstenhulmes & Rye Bagley & Wright Seddon Atkinson Urmson & Thompson Stott and Sons Buckley & Taylor
Seddon Atkinson, Betta Living and Asa Lees have HQ at that administrative territory
Seddon Atkinson Betta Living Asa Lees
action filter_type
action find_reverse
entity Oldham
relation headquarters location
type organization
[{'concept': 'organization'}, 'headquarters location', 'Oldham']
SELECT DISTINCT ?t WHERE { ?t rdf:type ontology:organization . ?t property:headquarters_location resource:Oldham }
[]
Comparative Reasoning (All)
Comparative|More/Less|Single entity type
Q16632589
P137
Q43229 Q1076486
USER
Which sports venues can be described as service operator of more number of organizations than Sunamganj Stadium ?
(c(Q1076486),P137,c(Q43229))
action greater
action find_tuple_counts
relation P137
type Q1076486
type Q43229
action count
action filter_type
action find
entity Q16632589
relation P137
type Q1076486
[{'concept': 'Q1076486'}, 'P137', {'concept': 'Q43229'}]
SELECT DISTINCT ?o WHERE { FILTER ( ?f > ?i ) . { SELECT DISTINCT ( COUNT ( ?v ) AS ?i ) WHERE { resource:Q16632589 property:P137 ?v . ?v rdf:type ontology:Q1076486 } } . { SELECT DISTINCT ?o ( COUNT ( ?d ) AS ?f ) WHERE { ?o property:P137 ?d . ?o rdf:type ontology:Q1076486 . ?d rdf:type ontology:Q43229 } GROUP BY ?o } }
Sunamganj Stadium
action greater
action find_tuple_counts
relation operator
type sports venue
type organization
action count
action filter_type
action find
entity Sunamganj Stadium
relation operator
type sports venue
[{'concept': 'sports venue'}, 'operator', {'concept': 'organization'}]
SELECT DISTINCT ?o WHERE { FILTER ( ?f > ?i ) . { SELECT DISTINCT ( COUNT ( ?v ) AS ?i ) WHERE { resource:Sunamganj_Stadium property:operator ?v . ?v rdf:type ontology:sports_venue } } . { SELECT DISTINCT ?o ( COUNT ( ?d ) AS ?f ) WHERE { ?o property:operator ?d . ?o rdf:type ontology:sports_venue . ?d rdf:type ontology:organization } GROUP BY ?o } }
[]
organization sports venue
Q824352 Q2701834 Q3113144
SYSTEM
Ullevi, Tele2 Arena, Pratt & Whitney Stadium
Q7382688 Q4840857 Q995161 Q5468640 Q15983572 Q494766 Q7017412 Q5435127 Q5364202 Q2701834 Q1851216 Q6411211 Q5206120 Q5206123 Q991407 Q824352 Q640215 Q181398 Q83457 Q4968564 Q756433 Q261863 Q29726 Q11324364 Q2035401 Q3113144 Q14935428 Q7320821 Q11324358 Q999781 Q11676824 Q200684 Q373355 Q761682 Q151374 Q155174
(c(Q1076486),P137,c(Q43229))
action greater
action find_tuple_counts
relation P137
type Q1076486
type Q43229
action count
action filter_type
action find
entity Q16632589
relation P137
type Q1076486
[ANSWERS] can be described as service operator of more number of organizations than Sunamganj Stadium
[{'concept': 'Q1076486'}, 'P137', {'concept': 'Q43229'}]
SELECT DISTINCT ?o WHERE { FILTER ( ?f > ?i ) . { SELECT DISTINCT ( COUNT ( ?v ) AS ?i ) WHERE { resource:Q16632589 property:P137 ?v . ?v rdf:type ontology:Q1076486 } } . { SELECT DISTINCT ?o ( COUNT ( ?d ) AS ?f ) WHERE { ?o property:P137 ?d . ?o rdf:type ontology:Q1076486 . ?d rdf:type ontology:Q43229 } GROUP BY ?o } }
Rusutsu Resort Badger Pass Ski Area Bryant–Denny Stadium Foreman Field Shaheed Mohtarama Benazir Bhutto International Cricket Stadium Home's Stadium Kobe Newcastle Entertainment Centre Fargodome The O2 Arena Tele2 Arena Sydney Super Dome King Abdullah Sports City DSC Hockey Stadium DSC Multi-Purpose Stadium Estadio El Teniente Ullevi Tandå valley Loftus Versfeld Stadium Old Trafford Brisbane Entertainment Centre University of Phoenix Stadium HP Pavilion at San Jose Sydney Entertainment Centre Niseko Village Perth Arena Pratt & Whitney Stadium Gold Coast Convention and Exhibition Centre Rhoads Stadium Niseko Mt. Resort Grand Hirafu Toyota Park Kagoshima Kamoike Stadium The Home Depot Center Gillette Stadium Red Bull Arena Olympiastadion Berlin Estádio do Maracanã
Ullevi, Tele2 Arena and Pratt & Whitney Stadium can be described as service operator of more number of organizations than Sunamganj Stadium
Ullevi Tele2 Arena Pratt & Whitney Stadium
action greater
action find_tuple_counts
relation operator
type sports venue
type organization
action count
action filter_type
action find
entity Sunamganj Stadium
relation operator
type sports venue
[{'concept': 'sports venue'}, 'operator', {'concept': 'organization'}]
SELECT DISTINCT ?o WHERE { FILTER ( ?f > ?i ) . { SELECT DISTINCT ( COUNT ( ?v ) AS ?i ) WHERE { resource:Sunamganj_Stadium property:operator ?v . ?v rdf:type ontology:sports_venue } } . { SELECT DISTINCT ?o ( COUNT ( ?d ) AS ?f ) WHERE { ?o property:operator ?d . ?o rdf:type ontology:sports_venue . ?d rdf:type ontology:organization } GROUP BY ?o } }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q2701834
P641
Q349
USER
What was the sport that Tele2 Arena was a part of ?
(Q2701834,P641,c(Q349))
action filter_type
action find
entity Q2701834
relation P641
type Q349
['Q2701834', 'P641', {'concept': 'Q349'}]
SELECT DISTINCT ?m WHERE { resource:Q2701834 property:P641 ?m . ?m rdf:type ontology:Q349 }
Tele2 Arena
action filter_type
action find
entity Tele2 Arena
relation sport
type sport
['Tele2 Arena', 'sport', {'concept': 'sport'}]
SELECT DISTINCT ?m WHERE { resource:Tele2_Arena property:sport ?m . ?m rdf:type ontology:sport }
[]
sport
Q2736
SYSTEM
association football
Q2736
(Q2701834,P641,c(Q349))
action filter_type
action find
entity Q2701834
relation P641
type Q349
The sport that Tele2 Arena was a part of was the [ANSWER]
['Q2701834', 'P641', {'concept': 'Q349'}]
SELECT DISTINCT ?m WHERE { resource:Q2701834 property:P641 ?m . ?m rdf:type ontology:Q349 }
association football
The sport that Tele2 Arena was a part of was the association football
association football
action filter_type
action find
entity Tele2 Arena
relation sport
type sport
['Tele2 Arena', 'sport', {'concept': 'sport'}]
SELECT DISTINCT ?m WHERE { resource:Tele2_Arena property:sport ?m . ?m rdf:type ontology:sport }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Logical operators
Q824352
P276
Q15275719 Q13406554
USER
How many recurring events or sport competitions are situated at Ullevi ?
(c(Q15275719),P276,Q824352) (c(Q13406554),P276,Q824352)
action count
action union
action filter_type
action find_reverse
entity Q824352
relation P276
type Q15275719
action filter_type
action find_reverse
entity Q824352
relation P276
type Q13406554
[{'concept': 'Q15275719'}, 'P276', 'Q824352'] [{'concept': 'Q13406554'}, 'P276', 'Q824352']
SELECT DISTINCT ( COUNT ( ?g ) AS ?s ) WHERE { { ?g property:P276 resource:Q824352 . ?g rdf:type ontology:Q15275719 } UNION { ?g property:P276 resource:Q824352 . ?g rdf:type ontology:Q13406554 } }
Ullevi
action count
action union
action filter_type
action find_reverse
entity Ullevi
relation location
type recurring event
action filter_type
action find_reverse
entity Ullevi
relation location
type sport competition
[{'concept': 'recurring event'}, 'location', 'Ullevi'] [{'concept': 'sport competition'}, 'location', 'Ullevi']
SELECT DISTINCT ( COUNT ( ?g ) AS ?s ) WHERE { { ?g property:location resource:Ullevi . ?g rdf:type ontology:recurring_event } UNION { ?g property:location resource:Ullevi . ?g rdf:type ontology:sport_competition } }
[]
recurring event sport competition
SYSTEM
2
Q132533 Q651420
(c(Q15275719),P276,Q824352) (c(Q13406554),P276,Q824352)
action count
action union
action filter_type
action find_reverse
entity Q824352
relation P276
type Q15275719
action filter_type
action find_reverse
entity Q824352
relation P276
type Q13406554
[ANSWER]
[{'concept': 'Q15275719'}, 'P276', 'Q824352'] [{'concept': 'Q13406554'}, 'P276', 'Q824352']
SELECT DISTINCT ( COUNT ( ?g ) AS ?s ) WHERE { { ?g property:P276 resource:Q824352 . ?g rdf:type ontology:Q15275719 } UNION { ?g property:P276 resource:Q824352 . ?g rdf:type ontology:Q13406554 } }
1958 FIFA World Cup 1995 World Championships in Athletics
2
action count
action union
action filter_type
action find_reverse
entity Ullevi
relation location
type recurring event
action filter_type
action find_reverse
entity Ullevi
relation location
type sport competition
[{'concept': 'recurring event'}, 'location', 'Ullevi'] [{'concept': 'sport competition'}, 'location', 'Ullevi']
SELECT DISTINCT ( COUNT ( ?g ) AS ?s ) WHERE { { ?g property:location resource:Ullevi . ?g rdf:type ontology:recurring_event } UNION { ?g property:location resource:Ullevi . ?g rdf:type ontology:sport_competition } }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q824352
P366
Q349
USER
What is the main use of that sports venue ?
action filter_type
action find
entity Q824352
relation P366
type Q349
SELECT DISTINCT ?x WHERE { resource:Q824352 property:P366 ?x . ?x rdf:type ontology:Q349 }
Ullevi
action filter_type
action find
entity Ullevi
relation use
type sport
SELECT DISTINCT ?x WHERE { resource:Ullevi property:use ?x . ?x rdf:type ontology:sport }
[]
sport
Q2736
SYSTEM
association football
Q2736
action filter_type
action find
entity Q824352
relation P366
type Q349
The main use of that sports venue is [ANSWER]
SELECT DISTINCT ?x WHERE { resource:Q824352 property:P366 ?x . ?x rdf:type ontology:Q349 }
association football
The main use of that sports venue is association football
association football
action filter_type
action find
entity Ullevi
relation use
type sport
SELECT DISTINCT ?x WHERE { resource:Ullevi property:use ?x . ?x rdf:type ontology:sport }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q1426765
P127
Q43229
USER
Which organization is the owner of Seddon Atkinson ?
(Q1426765,P127,c(Q43229))
action filter_type
action find
entity Q1426765
relation P127
type Q43229
['Q1426765', 'P127', {'concept': 'Q43229'}]
SELECT DISTINCT ?o WHERE { ?o rdf:type ontology:Q43229 . resource:Q1426765 property:P127 ?o }
Seddon Atkinson
action filter_type
action find
entity Seddon Atkinson
relation owned by
type organization
['Seddon Atkinson', 'owned by', {'concept': 'organization'}]
SELECT DISTINCT ?o WHERE { ?o rdf:type ontology:organization . resource:Seddon_Atkinson property:owned_by ?o }
[]
organization
Q29913
SYSTEM
Iveco
Q29913
(Q1426765,P127,c(Q43229))
action filter_type
action find
entity Q1426765
relation P127
type Q43229
[ANSWER] is the owner of Seddon Atkinson
['Q1426765', 'P127', {'concept': 'Q43229'}]
SELECT DISTINCT ?o WHERE { ?o rdf:type ontology:Q43229 . resource:Q1426765 property:P127 ?o }
Iveco
Iveco is the owner of Seddon Atkinson
Iveco
action filter_type
action find
entity Seddon Atkinson
relation owned by
type organization
['Seddon Atkinson', 'owned by', {'concept': 'organization'}]
SELECT DISTINCT ?o WHERE { ?o rdf:type ontology:organization . resource:Seddon_Atkinson property:owned_by ?o }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q1426765
P1056
Q11019
USER
What is made by Seddon Atkinson ?
(Q1426765,P1056,c(Q11019))
action filter_type
action find
entity Q1426765
relation P1056
type Q11019
['Q1426765', 'P1056', {'concept': 'Q11019'}]
SELECT DISTINCT ?w WHERE { ?w rdf:type ontology:Q11019 . resource:Q1426765 property:P1056 ?w }
Seddon Atkinson
action filter_type
action find
entity Seddon Atkinson
relation product
type machine
['Seddon Atkinson', 'product', {'concept': 'machine'}]
SELECT DISTINCT ?w WHERE { ?w rdf:type ontology:machine . resource:Seddon_Atkinson property:product ?w }
[]
machine
Q43193
SYSTEM
truck
Q43193
(Q1426765,P1056,c(Q11019))
action filter_type
action find
entity Q1426765
relation P1056
type Q11019
The [ANSWER] is made by Seddon Atkinson
['Q1426765', 'P1056', {'concept': 'Q11019'}]
SELECT DISTINCT ?w WHERE { ?w rdf:type ontology:Q11019 . resource:Q1426765 property:P1056 ?w }
truck
The truck is made by Seddon Atkinson
truck
action filter_type
action find
entity Seddon Atkinson
relation product
type machine
['Seddon Atkinson', 'product', {'concept': 'machine'}]
SELECT DISTINCT ?w WHERE { ?w rdf:type ontology:machine . resource:Seddon_Atkinson property:product ?w }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Single entity type
P1056
Q11019 Q4830453
USER
Which business enterprises are the producer of min number of machines ?
(c(Q4830453),P1056,c(Q11019))
action argmin
action find_tuple_counts
relation P1056
type Q4830453
type Q11019
[{'concept': 'Q4830453'}, 'P1056', {'concept': 'Q11019'}]
SELECT DISTINCT ?f WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?i ) { SELECT DISTINCT ?z ( COUNT ( ?w ) AS ?e ) WHERE { ?z property:P1056 ?w . ?z rdf:type ontology:Q4830453 . ?w rdf:type ontology:Q11019 } GROUP BY ?z } } . { SELECT DISTINCT ?f ( COUNT ( ?u ) AS ?y ) WHERE { ?f property:P1056 ?u . ?u rdf:type ontology:Q11019 . ?f rdf:type ontology:Q4830453 } GROUP BY ?f } . FILTER ( ?y = ?i ) }
action argmin
action find_tuple_counts
relation product
type business enterprise
type machine
[{'concept': 'business enterprise'}, 'product', {'concept': 'machine'}]
SELECT DISTINCT ?f WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?i ) { SELECT DISTINCT ?z ( COUNT ( ?w ) AS ?e ) WHERE { ?z property:product ?w . ?z rdf:type ontology:business_enterprise . ?w rdf:type ontology:machine } GROUP BY ?z } } . { SELECT DISTINCT ?f ( COUNT ( ?u ) AS ?y ) WHERE { ?f property:product ?u . ?u rdf:type ontology:machine . ?f rdf:type ontology:business_enterprise } GROUP BY ?f } . FILTER ( ?y = ?i ) }
[]
machine business enterprise
Q157062 Q66 Q17507863
SYSTEM
Unilever, Boeing, 4INFO
Q153852 Q316522 Q878149 Q256392 Q494166 Q23682345 Q6858427 Q3496897 Q386598 Q5178070 Q687934 Q21563304 Q5168728 Q19952621 Q3604604 Q1688472 Q157062 Q4958226 Q509349 Q749725 Q5877377 Q6315705 Q23731014 Q1422369 Q22671182 Q14875438 Q6942824 Q5423552 Q17281216 Q491627 Q3002428 Q811986 Q697534 Q7605768 Q8000786 Q1021189 Q4906227 Q151607 Q7969203 Q22969587 Q22120978 Q16982569 Q137023 Q13573965 Q7112063 Q20136005 Q608350 Q151205 Q663300 Q177054 Q204880 Q24228 Q1984997 Q23894794 Q21177770 Q5019402 Q547465 Q2538673 Q304091 Q215639 Q23681826 Q4975878 Q5297166 Q3414933 Q6506714 Q695087 Q4926914 Q1964257 Q2990062 Q2027177 Q7515173 Q1368052 Q37158 Q1828277 Q698957 Q1063455 Q2754546 Q20022806 Q5321771 Q5225943 Q1926416 Q2660388 Q3931843 Q2825373 Q17507863 Q3295867 Q20710586 Q18157373 Q3303595 Q1466792 Q23043017 Q2072541 Q7981336 Q781665 Q16956070 Q5149624 Q218115 Q27825807 Q5223427 Q7083084 Q18811574 Q696787 Q23759928 Q6411299 Q2450757 Q193701 Q3127942 Q16995811 Q590921 Q7382114 Q106854 Q23041421 Q17101869 Q2708181 Q2874669 Q23681962 Q2932698 Q2345331 Q1688786 Q66 Q5519790 Q6818138 Q2924020
(c(Q4830453),P1056,c(Q11019))
action argmin
action find_tuple_counts
relation P1056
type Q4830453
type Q11019
[ANSWERS] are the producer of min number of machines
[{'concept': 'Q4830453'}, 'P1056', {'concept': 'Q11019'}]
SELECT DISTINCT ?f WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?i ) { SELECT DISTINCT ?z ( COUNT ( ?w ) AS ?e ) WHERE { ?z property:P1056 ?w . ?z rdf:type ontology:Q4830453 . ?w rdf:type ontology:Q11019 } GROUP BY ?z } } . { SELECT DISTINCT ?f ( COUNT ( ?u ) AS ?y ) WHERE { ?f property:P1056 ?u . ?u rdf:type ontology:Q11019 . ?f rdf:type ontology:Q4830453 } GROUP BY ?f } . FILTER ( ?y = ?i ) }
Cölner Hofbräu Früh Karl Kässbohrer Fahrzeugwerke König Ludwig Schlossbrauerei Löwenbräu Fischer Brewery Rampage Clothing Company Mill Street Brewery Brouwerij 't IJ EvoBus Courage Brewery Weleda PlayStation Vue Copper Dragon Brewery 1024 architecture Acornsoft JetBrains Unilever Brauerei Paderborner Decathlon Group Tropical Hogs Back Brewery JustFab Moroccanoil Inc. Alexander Keith's Brewery Clock Software Steam Whistle Brewing Muskoka Cottage Brewery F&M Brewery FX Empire Hugo Boss Creemore Springs Bavaria – St. Pauli Brewery Hofbräuhaus Steelback Brewery Wild Rose Brewery Bürgerliches Brauhaus Big Rock Brewery Gaffel Becker & Co Wards Brewing Company Visual Solutions, Inc. Flock Inc. Great Lakes Brewery Primark Dommelsch Brewery Outfit7 Skillsoft Veltins Heinrich Reissdorf Bulova Watch Company Burger King Licher Privatbrauerei 343 Industries Budelse Brouwerij Angelic Informatics LTD Cyanogen Inc. Fairphone Zeppelin Alfa Brewery Moosehead Brewery Opera Software Chinese Laundry Brouwerij 't Koelschip Dooney & Bourke Recreational Equipment, Inc. Le Cheval Blanc Mars, Incorporated Blistex, Incorporated Namibia Breweries Limited El Boleo Pedigree Petfoods Silk Engineering Westvleteren Brewery Starbucks Brouwerij De Molen Erdinger The Lego Group Gulpener Brewery chocolate company E. C. Dahls Brewery Darwin Brewery Wychwood Brewery H. Stern Mouawad Advanced Soaring Concepts 4INFO The Coca-Cola Company Bay Shipbuilding Company Lagos McAuslan Brewing Iams Mercedes-Benz Argentina Bavaria Brewery Wellington Brewery MDA Space Missions Castle Eden Brewery Columbia Brewery Chanel Trappist brewery Dark Star Brewery Oland Brewery Meta Warsteiner EOS Products, LLC King Brewery Val-Dieu SpaceX Harry Winston, Inc. Lacons Brewery De Koningshoeven Brewery Russian River Brewing Company Beck's Mercedes-Benz do Brasil Janssen and Bechly Brewery Van Cleef & Arpels Award Software Manolo Blahnik International Ltd. Textron Marine & Land Systems Boylan Bottling Company Microsoft Store Boeing GameSalad Mercedes-Benz Mexico Brasserie Lancelot
Unilever, Boeing and 4INFO are the producer of min number of machines
Unilever Boeing 4INFO
action argmin
action find_tuple_counts
relation product
type business enterprise
type machine
[{'concept': 'business enterprise'}, 'product', {'concept': 'machine'}]
SELECT DISTINCT ?f WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?i ) { SELECT DISTINCT ?z ( COUNT ( ?w ) AS ?e ) WHERE { ?z property:product ?w . ?z rdf:type ontology:business_enterprise . ?w rdf:type ontology:machine } GROUP BY ?z } } . { SELECT DISTINCT ?f ( COUNT ( ?u ) AS ?y ) WHERE { ?f property:product ?u . ?u rdf:type ontology:machine . ?f rdf:type ontology:business_enterprise } GROUP BY ?f } . FILTER ( ?y = ?i ) }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count over Atleast/ Atmost/ Approx. the same/Equal|Single entity type
P1408
Q5119 Q4830453
USER
How many capitals did atmost 3 business enterprises get a license to broadcast to ?
(c(Q4830453),P1408,c(Q5119))
action count
action atmost
action find_reverse_tuple_counts
relation P1408
type Q5119
type Q4830453
value 3
[{'concept': 'Q4830453'}, 'P1408', {'concept': 'Q5119'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?t ) WHERE { { SELECT DISTINCT ?n ( COUNT ( ?b ) AS ?x ) WHERE { ?b property:P1408 ?n . ?n rdf:type ontology:Q5119 . ?b rdf:type ontology:Q4830453 } GROUP BY ?n } . FILTER ( ?x <= 3 ) }
action count
action atmost
action find_reverse_tuple_counts
relation licensed to broadcast to
type capital
type business enterprise
value 3
[{'concept': 'business enterprise'}, 'licensed to broadcast to', {'concept': 'capital'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?t ) WHERE { { SELECT DISTINCT ?n ( COUNT ( ?b ) AS ?x ) WHERE { ?b property:licensed_to_broadcast_to ?n . ?n rdf:type ontology:capital . ?b rdf:type ontology:business_enterprise } GROUP BY ?n } . FILTER ( ?x <= 3 ) }
[]
capital business enterprise
SYSTEM
22
Q940349 Q388503 Q142811 Q75183 Q602520 Q37836 Q271395 Q1013700 Q67796 Q567530 Q1002631 Q1003724 Q938699 Q594697 Q1016131 Q236713 Q36091 Q320514 Q1010225 Q1013953 Q1023544 Q964529
(c(Q4830453),P1408,c(Q5119))
action count
action atmost
action find_reverse_tuple_counts
relation P1408
type Q5119
type Q4830453
value 3
[ANSWER]
[{'concept': 'Q4830453'}, 'P1408', {'concept': 'Q5119'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?t ) WHERE { { SELECT DISTINCT ?n ( COUNT ( ?b ) AS ?x ) WHERE { ?b property:P1408 ?n . ?n rdf:type ontology:Q5119 . ?b rdf:type ontology:Q4830453 } GROUP BY ?n } . FILTER ( ?x <= 3 ) }
Chippewa Falls Houma Allentown Butler Hamilton Milwaukee Scranton Marinette Ashland Anoka Greeneville Menomonie Yorktown Washington Port Washington Aberdeen Minneapolis Lancaster Meadville Lancaster Baraboo Alliance
22
action count
action atmost
action find_reverse_tuple_counts
relation licensed to broadcast to
type capital
type business enterprise
value 3
[{'concept': 'business enterprise'}, 'licensed to broadcast to', {'concept': 'capital'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?t ) WHERE { { SELECT DISTINCT ?n ( COUNT ( ?b ) AS ?x ) WHERE { ?b property:licensed_to_broadcast_to ?n . ?n rdf:type ontology:capital . ?b rdf:type ontology:business_enterprise } GROUP BY ?n } . FILTER ( ?x <= 3 ) }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Mult. entity type
P272
Q4830453 Q201658 Q838948
USER
Which business enterprises were the producers of max number of film genres or works of art ?
(c(Q201658)|c(Q838948),P272,c(Q4830453))
action argmax
action union
action find_reverse_tuple_counts
relation P272
type Q4830453
type Q201658
action find_reverse_tuple_counts
relation P272
type Q4830453
type Q838948
[[{'concept': 'Q201658'}, {'concept': 'Q838948'}], 'P272', {'concept': 'Q4830453'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( MAX ( ?s ) AS ?o ) { SELECT DISTINCT ?f ( COUNT ( ?y ) AS ?s ) WHERE { { ?y property:P272 ?f . ?f rdf:type ontology:Q4830453 . ?y rdf:type ontology:Q201658 } UNION { ?y property:P272 ?f . ?y rdf:type ontology:Q838948 . ?f rdf:type ontology:Q4830453 } } GROUP BY ?f } } . FILTER ( ?m = ?o ) . { SELECT DISTINCT ?p ( COUNT ( ?i ) AS ?m ) WHERE { ?i rdf:type ?j . VALUES ( ?j ) { ( ontology:Q201658 ) ( ontology:Q838948 ) } } GROUP BY ?p } }
action argmax
action union
action find_reverse_tuple_counts
relation production company
type business enterprise
type film genre
action find_reverse_tuple_counts
relation production company
type business enterprise
type work of art
[[{'concept': 'film genre'}, {'concept': 'work of art'}], 'production company', {'concept': 'business enterprise'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( MAX ( ?s ) AS ?o ) { SELECT DISTINCT ?f ( COUNT ( ?y ) AS ?s ) WHERE { { ?y property:production_company ?f . ?f rdf:type ontology:business_enterprise . ?y rdf:type ontology:film_genre } UNION { ?y property:production_company ?f . ?y rdf:type ontology:work_of_art . ?f rdf:type ontology:business_enterprise } } GROUP BY ?f } } . FILTER ( ?m = ?o ) . { SELECT DISTINCT ?p ( COUNT ( ?i ) AS ?m ) WHERE { ?i rdf:type ?j . VALUES ( ?j ) { ( ontology:film_genre ) ( ontology:work_of_art ) } } GROUP BY ?p } }
[]
business enterprise film genre work of art
Q1032540
SYSTEM
Canal+
Q1032540
(c(Q201658)|c(Q838948),P272,c(Q4830453))
action argmax
action union
action find_reverse_tuple_counts
relation P272
type Q4830453
type Q201658
action find_reverse_tuple_counts
relation P272
type Q4830453
type Q838948
[ANSWER] was the producers of max number of film genres or works of art
[[{'concept': 'Q201658'}, {'concept': 'Q838948'}], 'P272', {'concept': 'Q4830453'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( MAX ( ?s ) AS ?o ) { SELECT DISTINCT ?f ( COUNT ( ?y ) AS ?s ) WHERE { { ?y property:P272 ?f . ?f rdf:type ontology:Q4830453 . ?y rdf:type ontology:Q201658 } UNION { ?y property:P272 ?f . ?y rdf:type ontology:Q838948 . ?f rdf:type ontology:Q4830453 } } GROUP BY ?f } } . FILTER ( ?m = ?o ) . { SELECT DISTINCT ?p ( COUNT ( ?i ) AS ?m ) WHERE { ?i rdf:type ?j . VALUES ( ?j ) { ( ontology:Q201658 ) ( ontology:Q838948 ) } } GROUP BY ?p } }
Canal+
Canal+ was the producers of max number of film genres or works of art
Canal+
action argmax
action union
action find_reverse_tuple_counts
relation production company
type business enterprise
type film genre
action find_reverse_tuple_counts
relation production company
type business enterprise
type work of art
[[{'concept': 'film genre'}, {'concept': 'work of art'}], 'production company', {'concept': 'business enterprise'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( MAX ( ?s ) AS ?o ) { SELECT DISTINCT ?f ( COUNT ( ?y ) AS ?s ) WHERE { { ?y property:production_company ?f . ?f rdf:type ontology:business_enterprise . ?y rdf:type ontology:film_genre } UNION { ?y property:production_company ?f . ?y rdf:type ontology:work_of_art . ?f rdf:type ontology:business_enterprise } } GROUP BY ?f } } . FILTER ( ?m = ?o ) . { SELECT DISTINCT ?p ( COUNT ( ?i ) AS ?m ) WHERE { ?i rdf:type ?j . VALUES ( ?j ) { ( ontology:film_genre ) ( ontology:work_of_art ) } } GROUP BY ?p } }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Single entity type|Indirect
P272
Q838948
USER
How many works of art had that business enterprise as their motion picture studio ?
(c(Q838948),P272,Q1032540)
action count
action filter_type
action find_reverse
entity Q1032540
relation P272
type Q838948
[{'concept': 'Q838948'}, 'P272', 'Q1032540']
SELECT DISTINCT ( COUNT ( ?z ) AS ?u ) WHERE { ?z property:P272 resource:Q1032540 . ?z rdf:type ontology:Q838948 }
action count
action filter_type
action find_reverse
entity Canal+
relation production company
type work of art
[{'concept': 'work of art'}, 'production company', 'Canal+']
SELECT DISTINCT ( COUNT ( ?z ) AS ?u ) WHERE { ?z property:production_company resource:Canal+ . ?z rdf:type ontology:work_of_art }
[]
work of art
SYSTEM
128
Q1633225 Q3020469 Q1144055 Q938858 Q1057015 Q819972 Q472600 Q63991 Q841114 Q2640672 Q2464146 Q933437 Q274895 Q1193138 Q1827484 Q15142164 Q1194587 Q1306557 Q926083 Q639855 Q865346 Q2527167 Q978974 Q1233213 Q59567 Q784848 Q3066368 Q310617 Q110365 Q637820 Q129874 Q530583 Q1781433 Q1194500 Q3230378 Q597788 Q484048 Q2552002 Q224985 Q3833341 Q1322906 Q3400410 Q112831 Q1272933 Q666707 Q2016952 Q105801 Q1516428 Q577581 Q1213495 Q3233639 Q2297246 Q327681 Q1366157 Q550232 Q17021589 Q150804 Q549012 Q16781911 Q2301836 Q389466 Q6461653 Q314642 Q1517263 Q1123891 Q681962 Q2818856 Q2387864 Q1140565 Q73803 Q171193 Q868329 Q815550 Q775356 Q24278869 Q526936 Q3026892 Q3818433 Q1500112 Q72330 Q10966636 Q932814 Q908868 Q803974 Q277080 Q969469 Q1406074 Q2630299 Q2658045 Q2966815 Q3546954 Q2171533 Q1130211 Q1193633 Q246391 Q3922049 Q1051496 Q11648811 Q878964 Q650043 Q2719923 Q2858977 Q739498 Q19405 Q578344 Q223367 Q543642 Q952142 Q1099384 Q4974754 Q1780602 Q1320026 Q931671 Q2081406 Q4981181 Q330113 Q737904 Q797938 Q963611 Q540186 Q383173 Q1432482 Q3549320 Q1804855 Q929886 Q146673 Q151792 Q1061541
(c(Q838948),P272,Q1032540)
action count
action filter_type
action find_reverse
entity Q1032540
relation P272
type Q838948
[ANSWER]
[{'concept': 'Q838948'}, 'P272', 'Q1032540']
SELECT DISTINCT ( COUNT ( ?z ) AS ?u ) WHERE { ?z property:P272 resource:Q1032540 . ?z rdf:type ontology:Q838948 }
Sex and Lucia La Ligne droite District 13: Ultimatum On the Road Taken 2 The Transporter The Diving Bell and the Butterfly Trouble Every Day Transporter 2 Kippur Gadjo dilo Three Colors: White 8 Women The Ice Storm Read My Lips Abuse of Weakness The Caiman Room in Rome Tomboy Paris 36 From Paris with Love Lessons of Darkness Hoffa Dobermann Tell No One Maniac Fanfan Paris, je t'aime Dancer in the Dark Amour Wrong Rembrandt Sarah's Key The Horseman on the Roof Les Acteurs Oceans Amélie Wild Blood Lovers of the Arctic Circle Lisa Centurion Pour Sacha Colour Me Kubrick Revenge of the Musketeers The Bridesmaid Dans Paris Stargate Hellphone Martyrs La Horde Les mains libres Holy Lola Dogville The Lost Son Arthur and the Minimoys Suffragette The Pianist The Barbarian Invasions Taken 3 Van Gogh Arthur and the Revenge of Maltazard La Chambre obscure Asterix & Obelix Take On Caesar Long Time Dead Brotherhood of the Wolf Tinker Tailor Soldier Spy A+ Pollux Bon Voyage Mutants Rust and Bone Lockout Colombiana Transporter 3 The Idiots Ils sont partout Irma Vep Didier The Family Friend Swimming Pool The Color of Lies Mondo Three Colors: Blue Volavérunt Baise-moi Taken Ma vie en rose A Question of Taste Wild Side Carrington Sexual Chronicles of a French Family Turk's Head Rubber The Double Life of Véronique The Fox and the Child REC 3: Genesis Ciné si Cutthroat Island La Vie d'Adèle Bitter Moon High Heels Terror's Advocate April Assassins The Ninth Gate The Imaginarium of Doctor Parnassus The Queen And Soon the Darkness Three Colors: Red Clean Brooklyn Babylon Les Misérables Forces spéciales The Beat That My Heart Skipped Furia I Give It a Year March of the Penguins Asterix & Obelix: Mission Cleopatra Babylon A.D. Or Miral Caché Since Otar Left A Private Affair Waking Ned Cemetery Man Basic Instinct The Science of Sleep A Prophet
128
action count
action filter_type
action find_reverse
entity Canal+
relation production company
type work of art
[{'concept': 'work of art'}, 'production company', 'Canal+']
SELECT DISTINCT ( COUNT ( ?z ) AS ?u ) WHERE { ?z property:production_company resource:Canal+ . ?z rdf:type ontology:work_of_art }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Single entity type
Q2660350
P355
Q4830453 Q28640
USER
How many professions are around the same number of business enterprises the subordinate of as Havok ?
(c(Q28640),P355,c(Q4830453))
action count
action approx
action find_tuple_counts
relation P355
type Q28640
type Q4830453
action count
action filter_type
action find
entity Q2660350
relation P355
type Q28640
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?f ) WHERE { { SELECT DISTINCT ?e ( COUNT ( ?t ) AS ?w ) WHERE { ?e property:P355 ?t . ?e rdf:type ontology:Q28640 . ?t rdf:type ontology:Q4830453 } GROUP BY ?e } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?p ) WHERE { resource:Q2660350 property:P355 ?c . ?c rdf:type ontology:Q28640 } } . FILTER ( ?w = ?p ) }
Havok
action count
action approx
action find_tuple_counts
relation subsidiary
type profession
type business enterprise
action count
action filter_type
action find
entity Havok
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?f ) WHERE { { SELECT DISTINCT ?e ( COUNT ( ?t ) AS ?w ) WHERE { ?e property:subsidiary ?t . ?e rdf:type ontology:profession . ?t rdf:type ontology:business_enterprise } GROUP BY ?e } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?p ) WHERE { resource:Havok property:subsidiary ?c . ?c rdf:type ontology:profession } } . FILTER ( ?w = ?p ) }
[]
business enterprise profession
SYSTEM
15
Q7098994 Q860580 Q73801 Q3875762 Q18594 Q164716 Q2660350 Q679933 Q483036 Q1782700 Q800120 Q372471 Q542018 Q245772 Q122741
(c(Q28640),P355,c(Q4830453))
action count
action approx
action find_tuple_counts
relation P355
type Q28640
type Q4830453
action count
action filter_type
action find
entity Q2660350
relation P355
type Q28640
[ANSWER]
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?f ) WHERE { { SELECT DISTINCT ?e ( COUNT ( ?t ) AS ?w ) WHERE { ?e property:P355 ?t . ?e rdf:type ontology:Q28640 . ?t rdf:type ontology:Q4830453 } GROUP BY ?e } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?p ) WHERE { resource:Q2660350 property:P355 ?c . ?c rdf:type ontology:Q28640 } } . FILTER ( ?w = ?p ) }
CD Projekt Tencent Holdings Microsoft Studios ngmoco Sony Interactive Entertainment Crytek Havok Eidos Interactive NCsoft Infogrames Entertainment Humongous Wargaming.net SCE Worldwide Studios Zynga Sega
15
action count
action approx
action find_tuple_counts
relation subsidiary
type profession
type business enterprise
action count
action filter_type
action find
entity Havok
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?f ) WHERE { { SELECT DISTINCT ?e ( COUNT ( ?t ) AS ?w ) WHERE { ?e property:subsidiary ?t . ?e rdf:type ontology:profession . ?t rdf:type ontology:business_enterprise } GROUP BY ?e } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?p ) WHERE { resource:Havok property:subsidiary ?c . ?c rdf:type ontology:profession } } . FILTER ( ?w = ?p ) }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Single entity type|Incomplete
Q164716
P355
Q4830453 Q28640
USER
And what about Crytek?
(c(Q28640),P355,c(Q4830453))
action count
action approx
action find_tuple_counts
relation P355
type Q28640
type Q4830453
action count
action filter_type
action find
entity Q164716
relation P355
type Q28640
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?d ) AS ?p ) WHERE { { SELECT DISTINCT ?d ( COUNT ( ?z ) AS ?u ) WHERE { ?d property:P355 ?z . ?d rdf:type ontology:Q28640 . ?z rdf:type ontology:Q4830453 } GROUP BY ?d } . { SELECT DISTINCT ( COUNT ( ?m ) AS ?o ) WHERE { ?m rdf:type ontology:Q28640 . resource:Q164716 property:P355 ?m } } . FILTER ( ?u = ?o ) }
Crytek
action count
action approx
action find_tuple_counts
relation subsidiary
type profession
type business enterprise
action count
action filter_type
action find
entity Crytek
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?d ) AS ?p ) WHERE { { SELECT DISTINCT ?d ( COUNT ( ?z ) AS ?u ) WHERE { ?d property:subsidiary ?z . ?d rdf:type ontology:profession . ?z rdf:type ontology:business_enterprise } GROUP BY ?d } . { SELECT DISTINCT ( COUNT ( ?m ) AS ?o ) WHERE { ?m rdf:type ontology:profession . resource:Crytek property:subsidiary ?m } } . FILTER ( ?u = ?o ) }
[]
business enterprise profession
SYSTEM
15
Q7098994 Q860580 Q73801 Q3875762 Q18594 Q164716 Q2660350 Q679933 Q483036 Q1782700 Q800120 Q372471 Q542018 Q245772 Q122741
(c(Q28640),P355,c(Q4830453))
action count
action approx
action find_tuple_counts
relation P355
type Q28640
type Q4830453
action count
action filter_type
action find
entity Q164716
relation P355
type Q28640
[ANSWER]
[{'concept': 'Q28640'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ( COUNT ( ?d ) AS ?p ) WHERE { { SELECT DISTINCT ?d ( COUNT ( ?z ) AS ?u ) WHERE { ?d property:P355 ?z . ?d rdf:type ontology:Q28640 . ?z rdf:type ontology:Q4830453 } GROUP BY ?d } . { SELECT DISTINCT ( COUNT ( ?m ) AS ?o ) WHERE { ?m rdf:type ontology:Q28640 . resource:Q164716 property:P355 ?m } } . FILTER ( ?u = ?o ) }
CD Projekt Tencent Holdings Microsoft Studios ngmoco Sony Interactive Entertainment Crytek Havok Eidos Interactive NCsoft Infogrames Entertainment Humongous Wargaming.net SCE Worldwide Studios Zynga Sega
15
action count
action approx
action find_tuple_counts
relation subsidiary
type profession
type business enterprise
action count
action filter_type
action find
entity Crytek
relation subsidiary
type profession
[{'concept': 'profession'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ( COUNT ( ?d ) AS ?p ) WHERE { { SELECT DISTINCT ?d ( COUNT ( ?z ) AS ?u ) WHERE { ?d property:subsidiary ?z . ?d rdf:type ontology:profession . ?z rdf:type ontology:business_enterprise } GROUP BY ?d } . { SELECT DISTINCT ( COUNT ( ?m ) AS ?o ) WHERE { ?m rdf:type ontology:profession . resource:Crytek property:subsidiary ?m } } . FILTER ( ?u = ?o ) }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Mult. entity type
Q3931843
P1056
Q2424752 Q10675206 Q4830453
USER
How many business enterprises manufacture around the same number of products and ingredients as Mouawad ?
(c(Q4830453),P1056,c(Q2424752)|c(Q10675206))
action count
action approx
action union
action find_tuple_counts
relation P1056
type Q4830453
type Q2424752
action find_tuple_counts
relation P1056
type Q4830453
type Q10675206
action count
action filter_multi_types
action find
entity Q3931843
relation P1056
type Q2424752
type Q10675206
[{'concept': 'Q4830453'}, 'P1056', [{'concept': 'Q2424752'}, {'concept': 'Q10675206'}]]
SELECT DISTINCT ( COUNT ( ?s ) AS ?o ) WHERE { { SELECT DISTINCT ( COUNT ( ?e ) AS ?g ) ?s WHERE { VALUES ( ?c ) { ( ontology:Q2424752 ) ( ontology:Q10675206 ) } . ?e rdf:type ?c } GROUP BY ?s } . { SELECT DISTINCT ( COUNT ( ?n ) AS ?f ) WHERE { resource:Q3931843 property:P1056 ?n . { { ?n rdf:type ontology:Q10675206 } UNION { ?n rdf:type ontology:Q2424752 } } } } . FILTER ( ?g = ?f ) }
Mouawad
action count
action approx
action union
action find_tuple_counts
relation product
type business enterprise
type product
action find_tuple_counts
relation product
type business enterprise
type ingredient
action count
action filter_multi_types
action find
entity Mouawad
relation product
type product
type ingredient
[{'concept': 'business enterprise'}, 'product', [{'concept': 'product'}, {'concept': 'ingredient'}]]
SELECT DISTINCT ( COUNT ( ?s ) AS ?o ) WHERE { { SELECT DISTINCT ( COUNT ( ?e ) AS ?g ) ?s WHERE { VALUES ( ?c ) { ( ontology:product ) ( ontology:ingredient ) } . ?e rdf:type ?c } GROUP BY ?s } . { SELECT DISTINCT ( COUNT ( ?n ) AS ?f ) WHERE { resource:Mouawad property:product ?n . { { ?n rdf:type ontology:ingredient } UNION { ?n rdf:type ontology:product } } } } . FILTER ( ?g = ?f ) }
[]
product ingredient business enterprise
SYSTEM
109
Q316522 Q23682345 Q1636249 Q386598 Q687934 Q1674927 Q21563304 Q181114 Q19952621 Q1475488 Q749725 Q6315705 Q2096434 Q286396 Q23731014 Q22671182 Q17281216 Q491627 Q574579 Q1408130 Q2830985 Q22969587 Q22120978 Q1514867 Q26678 Q910401 Q137023 Q1454227 Q7112063 Q1964161 Q1904600 Q708667 Q20136005 Q1435112 Q663300 Q27489 Q6686 Q177054 Q628140 Q24228 Q185432 Q4320539 Q21177770 Q5019402 Q547465 Q1513672 Q1060679 Q215639 Q1900912 Q23681826 Q2359677 Q5297166 Q4926914 Q2990062 Q16834431 Q59181 Q27110 Q7515173 Q1368052 Q35989 Q1207077 Q37158 Q40966 Q1420724 Q1674963 Q787909 Q1745885 Q505694 Q2660388 Q3931843 Q2825373 Q17507863 Q2699663 Q1563685 Q3295867 Q1881443 Q20710586 Q18157373 Q320140 Q13530143 Q23043017 Q6883057 Q781665 Q218115 Q27825807 Q1190247 Q18811574 Q5209438 Q23759928 Q2450757 Q193701 Q3127942 Q590921 Q2005896 Q23041421 Q2708181 Q617334 Q2874669 Q1674958 Q23681962 Q2932698 Q1674950 Q1862590 Q1674957 Q2345331 Q1688786 Q66 Q5519790 Q6818138
(c(Q4830453),P1056,c(Q2424752)|c(Q10675206))
action count
action approx
action union
action find_tuple_counts
relation P1056
type Q4830453
type Q2424752
action find_tuple_counts
relation P1056
type Q4830453
type Q10675206
action count
action filter_multi_types
action find
entity Q3931843
relation P1056
type Q2424752
type Q10675206
[ANSWER]
[{'concept': 'Q4830453'}, 'P1056', [{'concept': 'Q2424752'}, {'concept': 'Q10675206'}]]
SELECT DISTINCT ( COUNT ( ?s ) AS ?o ) WHERE { { SELECT DISTINCT ( COUNT ( ?e ) AS ?g ) ?s WHERE { VALUES ( ?c ) { ( ontology:Q2424752 ) ( ontology:Q10675206 ) } . ?e rdf:type ?c } GROUP BY ?s } . { SELECT DISTINCT ( COUNT ( ?n ) AS ?f ) WHERE { resource:Q3931843 property:P1056 ?n . { { ?n rdf:type ontology:Q10675206 } UNION { ?n rdf:type ontology:Q2424752 } } } } . FILTER ( ?g = ?f ) }
Karl Kässbohrer Fahrzeugwerke Rampage Clothing Company Hulas Motors EvoBus Weleda Isuzu Astra Motor Indonesia PlayStation Vue Chrysler 1024 architecture Giad Auto Tropical JustFab UzDaewooAuto Robur Moroccanoil Inc. Clock Software FX Empire Hugo Boss Lorraine-Dietrich Weiertz Universal Power Drives Visual Solutions, Inc. Flock Inc. Moreland Motor Truck Company BMW SAIC Motor Primark Freight Rover Outfit7 Namco Martin Motors MAN Truck & Bus Skillsoft Edwin Foden, Sons & Co. Bulova Watch Company DAF Renault Burger King Holland Car 343 Industries Espenlaub Petropoulos Cyanogen Inc. Fairphone Zeppelin Isuzu HICOM Malaysia Chambers Motors Opera Software Markranstädter Automobilfabrik Chinese Laundry Styl Kar Dooney & Bourke Blistex, Incorporated El Boleo Daimler Trucks North America Wartburg Autobianchi Silk Engineering Westvleteren Brewery Maybach Dewan Farooque Motors Starbucks Opel Freightliner Trucks Isuzu Vietnam Automotive Industries Wallyscar Fuldamobil H. Stern Mouawad Advanced Soaring Concepts 4INFO Laffly HICOM Automotive Manufacturers The Coca-Cola Company MG Motor Bay Shipbuilding Company Lagos Brennabor Effa Motors Mercedes-Benz Argentina Mitsubishi Fuso Truck of America, Inc. MDA Space Missions Chanel Trappist brewery Mitsubishi Fuso Truck and Bus Corporation Meta Daimler India Commercial Vehicles Pvt. Ltd. EOS Products, LLC Val-Dieu SpaceX Harry Winston, Inc. De Koningshoeven Brewery Trnavské automobilové závody Mercedes-Benz do Brasil Van Cleef & Arpels Apal Award Software Isuzu Truck South Africa Manolo Blahnik International Ltd. Textron Marine & Land Systems Isuzu Malaysia RFW Isuzu Truck (UK) Boylan Bottling Company Microsoft Store Boeing GameSalad Mercedes-Benz Mexico
109
action count
action approx
action union
action find_tuple_counts
relation product
type business enterprise
type product
action find_tuple_counts
relation product
type business enterprise
type ingredient
action count
action filter_multi_types
action find
entity Mouawad
relation product
type product
type ingredient
[{'concept': 'business enterprise'}, 'product', [{'concept': 'product'}, {'concept': 'ingredient'}]]
SELECT DISTINCT ( COUNT ( ?s ) AS ?o ) WHERE { { SELECT DISTINCT ( COUNT ( ?e ) AS ?g ) ?s WHERE { VALUES ( ?c ) { ( ontology:product ) ( ontology:ingredient ) } . ?e rdf:type ?c } GROUP BY ?s } . { SELECT DISTINCT ( COUNT ( ?n ) AS ?f ) WHERE { resource:Mouawad property:product ?n . { { ?n rdf:type ontology:ingredient } UNION { ?n rdf:type ontology:product } } } } . FILTER ( ?g = ?f ) }
[]