Simple Question (Direct)
Simple Question
Q6508851
P400
Q9135
USER
What is the platform for which Leaf Trombone: World Stage was developed ?
(Q6508851,P400,c(Q9135))
action filter_type
action find
entity Q6508851
relation P400
type Q9135
['Q6508851', 'P400', {'concept': 'Q9135'}]
SELECT DISTINCT ?j WHERE { resource:Q6508851 property:P400 ?j . ?j rdf:type ontology:Q9135 }
Leaf Trombone: World Stage
action filter_type
action find
entity Leaf Trombone: World Stage
relation platform
type operating system
['Leaf Trombone: World Stage', 'platform', {'concept': 'operating system'}]
SELECT DISTINCT ?j WHERE { resource:Leaf_Trombone:_World_Stage property:platform ?j . ?j rdf:type ontology:operating_system }
[]
operating system
Q48493
SYSTEM
iOS
Q48493
(Q6508851,P400,c(Q9135))
action filter_type
action find
entity Q6508851
relation P400
type Q9135
[ANSWER]
['Q6508851', 'P400', {'concept': 'Q9135'}]
SELECT DISTINCT ?j WHERE { resource:Q6508851 property:P400 ?j . ?j rdf:type ontology:Q9135 }
iOS
IOS
iOS
action filter_type
action find
entity Leaf Trombone: World Stage
relation platform
type operating system
['Leaf Trombone: World Stage', 'platform', {'concept': 'operating system'}]
SELECT DISTINCT ?j WHERE { resource:Leaf_Trombone:_World_Stage property:platform ?j . ?j rdf:type ontology:operating_system }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q6508851
P178
Q28640
USER
Which profession developed that application ?
(Q48493,P178,c(Q28640))
action filter_type
action find
entity Q6508851
relation P178
type Q28640
['Q48493', 'P178', {'concept': 'Q28640'}]
SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:Q28640 . resource:Q6508851 property:P178 ?x }
Leaf Trombone: World Stage
action filter_type
action find
entity Leaf Trombone: World Stage
relation developer
type profession
['iOS', 'developer', {'concept': 'profession'}]
SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:profession . resource:Leaf_Trombone:_World_Stage property:developer ?x }
[]
profession
Q7546644
SYSTEM
Smule
Q7546644
(Q48493,P178,c(Q28640))
action filter_type
action find
entity Q6508851
relation P178
type Q28640
[ANSWER] developed that application
['Q48493', 'P178', {'concept': 'Q28640'}]
SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:Q28640 . resource:Q6508851 property:P178 ?x }
Smule
Smule developed that application
Smule
action filter_type
action find
entity Leaf Trombone: World Stage
relation developer
type profession
['iOS', 'developer', {'concept': 'profession'}]
SELECT DISTINCT ?x WHERE { ?x rdf:type ontology:profession . resource:Leaf_Trombone:_World_Stage property:developer ?x }
[]
Logical Reasoning (All)
Logical|Union|Multiple_Relation
Q15980115 Q6508851
P119 P750
Q43229
USER
Which organizations distributes Leaf Trombone: World Stage or are the places of burial of Jurij Vartanovič Arutjunjan ?
OR((Q6508851,P750,c(Q43229)), (Q15980115,P119,c(Q43229)))
action filter_type
action union
action find
entity Q6508851
relation P750
action find
entity Q15980115
relation P119
type Q43229
{'OR': [['Q6508851', 'P750', {'concept': 'Q43229'}], ['Q15980115', 'P119', {'concept': 'Q43229'}]]}
SELECT DISTINCT ?d WHERE { { { resource:Q6508851 property:P750 ?d } UNION { resource:Q15980115 property:P119 ?d } } . ?d rdf:type ontology:Q43229 }
Jurij Vartanovič Arutjunjan Leaf Trombone: World Stage
action filter_type
action union
action find
entity Leaf Trombone: World Stage
relation distributor
action find
entity Jurij Vartanovič Arutjunjan
relation place of burial
type organization
{'OR': [['Leaf Trombone: World Stage', 'distributor', {'concept': 'organization'}], ['Jurij Vartanovič Arutjunjan', 'place of burial', {'concept': 'organization'}]]}
SELECT DISTINCT ?d WHERE { { { resource:Leaf_Trombone:_World_Stage property:distributor ?d } UNION { resource:Jurij_Vartanovič_Arutjunjan property:place_of_burial ?d } } . ?d rdf:type ontology:organization }
[]
organization
Q208175 Q312
SYSTEM
Novodevichy Cemetery, Apple
Q208175 Q312
OR((Q6508851,P750,c(Q43229)), (Q15980115,P119,c(Q43229)))
action filter_type
action union
action find
entity Q6508851
relation P750
action find
entity Q15980115
relation P119
type Q43229
[ANSWERS] distribute Leaf Trombone: World Stage or are the places of burial of Jurij Vartanovič Arutjunjan
{'OR': [['Q6508851', 'P750', {'concept': 'Q43229'}], ['Q15980115', 'P119', {'concept': 'Q43229'}]]}
SELECT DISTINCT ?d WHERE { { { resource:Q6508851 property:P750 ?d } UNION { resource:Q15980115 property:P119 ?d } } . ?d rdf:type ontology:Q43229 }
Novodevichy Cemetery Apple
Novodevichy Cemetery and Apple distribute Leaf Trombone: World Stage or are the places of burial of Jurij Vartanovič Arutjunjan
Novodevichy Cemetery Apple
action filter_type
action union
action find
entity Leaf Trombone: World Stage
relation distributor
action find
entity Jurij Vartanovič Arutjunjan
relation place of burial
type organization
{'OR': [['Leaf Trombone: World Stage', 'distributor', {'concept': 'organization'}], ['Jurij Vartanovič Arutjunjan', 'place of burial', {'concept': 'organization'}]]}
SELECT DISTINCT ?d WHERE { { { resource:Leaf_Trombone:_World_Stage property:distributor ?d } UNION { resource:Jurij_Vartanovič_Arutjunjan property:place_of_burial ?d } } . ?d rdf:type ontology:organization }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Single entity type
P137
Q43229 Q811979
USER
Which architectural structures were managed by min number of organizations ?
(c(Q811979),P137,c(Q43229))
action argmin
action find_tuple_counts
relation P137
type Q811979
type Q43229
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q43229'}]
SELECT DISTINCT ?m WHERE { { SELECT DISTINCT ( MIN ( ?r ) AS ?e ) { SELECT DISTINCT ?f ( COUNT ( ?t ) AS ?r ) WHERE { ?f property:P137 ?t . ?f rdf:type ontology:Q811979 . ?t rdf:type ontology:Q43229 } GROUP BY ?f } } . { SELECT DISTINCT ?m ( COUNT ( ?s ) AS ?x ) WHERE { ?m property:P137 ?s . ?m rdf:type ontology:Q811979 . ?s rdf:type ontology:Q43229 } GROUP BY ?m } . FILTER ( ?x = ?e ) }
action argmin
action find_tuple_counts
relation operator
type architectural structure
type organization
[{'concept': 'architectural structure'}, 'operator', {'concept': 'organization'}]
SELECT DISTINCT ?m WHERE { { SELECT DISTINCT ( MIN ( ?r ) AS ?e ) { SELECT DISTINCT ?f ( COUNT ( ?t ) AS ?r ) WHERE { ?f property:operator ?t . ?f rdf:type ontology:architectural_structure . ?t rdf:type ontology:organization } GROUP BY ?f } } . { SELECT DISTINCT ?m ( COUNT ( ?s ) AS ?x ) WHERE { ?m property:operator ?s . ?m rdf:type ontology:architectural_structure . ?s rdf:type ontology:organization } GROUP BY ?m } . FILTER ( ?x = ?e ) }
[]
organization architectural structure
Q18662559 Q2907633 Q6715011
SYSTEM
Lahti Sports Center, Bob Devaney Sports Center, MCU Park
Q4865081 Q15207459 Q6771049 Q6764823 Q3219903 Q7633506 Q7450581 Q7458231 Q7690137 Q5532805 Q7633669 Q8033063 Q4855206 Q4818017 Q4709569 Q5400466 Q5369913 Q1588606 Q3046470 Q1202240 Q15262085 Q4975040 Q14689276 Q3143370 Q553044 Q6935047 Q7178253 Q5028483 Q2343802 Q5166595 Q15141936 Q7054098 Q3442498 Q7442251 Q3134360 Q5643281 Q7165399 Q3494232 Q7290932 Q5592149 Q7346228 Q7339076 Q5028433 Q4731637 Q5211416 Q5066064 Q5400508 Q4832084 Q7303058 Q3542165 Q2246085 Q5001417 Q5203667 Q6035773 Q20800625 Q6312514 Q14709658 Q16632775 Q4737430 Q14709800 Q810351 Q5531393 Q5369776 Q3565858 Q4967422 Q6411658 Q2017347 Q5176053 Q3418115 Q3088623 Q7596317 Q7596318 Q25459662 Q17749141 Q3446217 Q6700223 Q6268311 Q7414465 Q14679543 Q7572306 Q3447581 Q4907947 Q2703852 Q6552091 Q7288356 Q5514647 Q1879667 Q7330927 Q4893295 Q5431757 Q14679126 Q5318353 Q5593612 Q6410656 Q7573900 Q5369783 Q6478725 Q11531051 Q6398575 Q6984713 Q4865769 Q15229670 Q2750585 Q7502975 Q5848029 Q5305598 Q5400377 Q5094444 Q5400235 Q6262473 Q7960284 Q7368166 Q14708007 Q7830317 Q25451942 Q3377004 Q5369839 Q7352941 Q7844316 Q11774589 Q2905736 Q7361271 Q6338312 Q5198184 Q7189554 Q3565475 Q2306600 Q3305513 Q5591986 Q5591982 Q5446005 Q7105786 Q5591988 Q3094596 Q5516613 Q7106371 Q7011384 Q7336530 Q7975143 Q855251 Q3339834 Q6458385 Q5929314 Q16632732 Q7932463 Q5339036 Q6106715 Q5164573 Q545007 Q5369732 Q14715022 Q6382167 Q16601999 Q1336027 Q7282004 Q2920554 Q2616959 Q5667723 Q6212833 Q5127708 Q3101733 Q1139489 Q2947644 Q7248670 Q5542818 Q5346175 Q7604017 Q4834718 Q4834719 Q7653745 Q618954 Q11858942 Q6802510 Q5562375 Q5930591 Q16632740 Q7431881 Q6936281 Q7968472 Q4795778 Q1054201 Q6271169 Q5128194 Q9341129 Q15229581 Q3104089 Q5647892 Q5012860 Q7373495 Q4883751 Q586129 Q3443162 Q698779 Q4951144 Q4744348 Q1740614 Q7539655 Q7039115 Q6391912 Q3198005 Q5330567 Q5606946 Q183891 Q5452224 Q1352287 Q6864459 Q7126314 Q7270694 Q4708490 Q7603437 Q5021351 Q1186386 Q14907430 Q7250789 Q5210429 Q403671 Q6460666 Q4875080 Q4638400 Q6477189 Q8078619 Q6724850 Q24238746 Q3359761 Q7866413 Q5876870 Q21196637 Q18662559 Q4737455 Q1570168 Q12624470 Q5512137 Q6956095 Q277740 Q7330798 Q16503803 Q6286031 Q3183100 Q5751038 Q16632799 Q5400149 Q2907633 Q2796402 Q3754550 Q6705660 Q619041 Q6525257 Q4731511 Q2981193 Q2981192 Q14711379 Q12065608 Q6456416 Q6802191 Q6529766 Q7516362 Q5366882 Q14679208 Q2875445 Q7620946 Q14711394 Q6822158 Q3547208 Q7729674 Q6715011 Q6800234 Q15179457 Q3449478 Q6418047 Q2081796 Q6728094 Q6815373 Q5001312 Q7745279 Q5400530 Q6728098 Q5400534 Q2875531 Q3504802 Q5369945 Q1210262 Q5400286 Q5447561 Q6432682 Q5328312 Q7851279 Q5685116 Q15233283 Q4788902 Q15261114 Q5975448 Q4808661 Q4692179 Q4929085 Q15243082 Q5598423 Q6512894 Q17013981 Q1094423 Q7994444 Q7431806 Q7744723 Q4863544 Q6284711 Q2875890 Q6914048 Q7757142 Q1848810 Q4952453 Q4729662 Q5956988 Q2934766 Q5400217 Q5510501 Q4887040 Q23948716 Q15224404 Q5363295 Q15196762 Q7798379 Q3135692 Q14437690 Q4950854 Q7057871 Q15910573 Q15241722 Q14688459 Q6552612 Q5002708 Q8052910 Q5501758 Q16895490 Q3126342 Q7731675 Q17003430 Q4749746 Q8565100 Q7424336 Q10272249 Q7279013 Q7184961 Q18159007 Q39177 Q8033533 Q5400136 Q5400137 Q5400133 Q3071006 Q5180263 Q378655 Q589706 Q5593520 Q5624075 Q5371860 Q5434412 Q6824503 Q14711804 Q7981583 Q2748815 Q7837716 Q16514785 Q8037239 Q2946127 Q5407197 Q5407196 Q2996574 Q5230237 Q5462799 Q3441998 Q626914 Q6770992 Q5203364 Q7983471 Q16632470 Q7308269 Q5636057 Q5876764 Q20438820 Q3504322 Q328464 Q5447568 Q14935894 Q5395995 Q1156635 Q14689077 Q3263907 Q6508925 Q7565933 Q6588130 Q978472 Q4692214 Q5592114 Q7978892 Q4950514 Q7310165 Q6801721 Q5576967 Q7309279 Q1961603 Q7801374 Q498405 Q15051810 Q4908080 Q4787939 Q5123035 Q2822959 Q6998018 Q7987502 Q3495814 Q3495817 Q4887398 Q7619522 Q7825697 Q8024668 Q7338559 Q2841786 Q5302610 Q4712266 Q7636519 Q7830771 Q7994123 Q6394107 Q5262650 Q7914183 Q14715126 Q7125130 Q2427500 Q4783609 Q7136383 Q4740261 Q5013216 Q5492263 Q14686594 Q5038194 Q5024834 Q17750083 Q5328393 Q3313428 Q6859605 Q3294309 Q5541949 Q7148029 Q619141 Q6800852 Q689140 Q3155623 Q13218009 Q7431179 Q7996837 Q16498144 Q4934465 Q633613 Q2080735 Q6743907 Q6456580 Q6800555 Q3041567 Q2974862 Q4859987 Q3082598 Q7603234 Q14707957 Q5273653 Q3817562 Q3338927 Q5222444 Q8026555 Q3442559 Q7433145 Q14711876 Q5089298 Q7297426 Q5124146 Q7557450 Q7805195 Q4373969 Q7155862 Q7155861 Q14711386 Q15526806 Q7072747 Q16154563 Q4868063 Q7492148 Q14715765 Q3193033 Q3575242 Q7638265 Q7320897 Q3495671 Q3003747 Q6708375 Q4986188 Q7919452 Q2141932 Q4952330 Q155743 Q14712831 Q16508023 Q6220120 Q2943570 Q5026257 Q5521133 Q1421388 Q4780853 Q6510695 Q5092083 Q3948352 Q7945789 Q6064390 Q16611566 Q5339055 Q5985043 Q7605712 Q7863118 Q4819242 Q6179228 Q16846942 Q5086148 Q7201745 Q5512436 Q1970067 Q4968349 Q7628699 Q376674 Q5646174 Q7312410 Q5455877 Q3625171 Q2887731 Q7448552 Q1257051 Q5059103 Q14713169 Q5024385 Q2837888 Q2728139 Q5669316 Q4802391 Q5567033 Q619177 Q15629900 Q512886 Q3656844 Q7205424 Q7276595 Q6907198 Q16632769 Q7506673 Q6705892 Q5643532 Q183697 Q4917333 Q26810965 Q5645862 Q15261954 Q8054564 Q7244008 Q7813379 Q5194639 Q7578943 Q6262744 Q300256 Q5400240 Q7427699 Q5638002 Q5360275 Q5453876 Q7233696 Q5874890 Q7319634 Q14875394 Q6800525 Q7961584 Q7192491 Q5369920 Q16632680 Q5339988 Q3115714 Q7958770 Q16632716 Q8020979 Q10562438 Q15036603 Q8069248 Q604859 Q7822509 Q2923640 Q7861772 Q7865266 Q5369828 Q5315635 Q6881405 Q15971905 Q7667987 Q16632656 Q3566224 Q4820002 Q2509353 Q5167437 Q5208874 Q5351766 Q6904028 Q672972 Q6801857 Q4722196 Q4922937 Q7305270 Q5059142 Q5562766 Q5445295 Q14708083 Q7715476 Q7654099 Q7619518 Q15032124 Q7707424 Q7865214 Q5424511 Q5400076 Q14683022 Q975681 Q15210107 Q7197788 Q5236375 Q5507848 Q7845099 Q6445551 Q4731672 Q7669887 Q1321458 Q4974814 Q1166157 Q7876128 Q3564821 Q8842833 Q7177140 Q1368138 Q6373917 Q2974321 Q8262179 Q5150495 Q5473890 Q710183 Q5568475 Q6423100 Q6724666 Q6800567 Q2819527 Q3071597 Q5251009 Q5402204 Q20873909 Q15195531 Q8065875 Q4848573 Q5400348 Q4792454 Q2996552 Q3389408 Q1129786 Q12070422 Q16632515 Q16632517 Q5369552 Q14679301 Q7338611
(c(Q811979),P137,c(Q43229))
action argmin
action find_tuple_counts
relation P137
type Q811979
type Q43229
[ANSWERS] were managed by min number of organizations
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q43229'}]
SELECT DISTINCT ?m WHERE { { SELECT DISTINCT ( MIN ( ?r ) AS ?e ) { SELECT DISTINCT ?f ( COUNT ( ?t ) AS ?r ) WHERE { ?f property:P137 ?t . ?f rdf:type ontology:Q811979 . ?t rdf:type ontology:Q43229 } GROUP BY ?f } } . { SELECT DISTINCT ?m ( COUNT ( ?s ) AS ?x ) WHERE { ?m property:P137 ?s . ?m rdf:type ontology:Q811979 . ?s rdf:type ontology:Q43229 } GROUP BY ?m } . FILTER ( ?x = ?e ) }
Bart Kaufman Field Capital FM Arena Nottingham Markin Family Student Recreation Center Mario Morales Coliseum Lawrence Joel Veterans Memorial Coliseum Sudbury Community Arena Sengkang Sports and Recreation Centre Sewell–Thomas Stadium Taylor Stadium Genesis Convention Center Sudduth Coliseum Woodling Gym Bangkok Arena Timsah Arena Albert-Daly Field Estadio Quisqueya Embassy of Uzbekistan, Washington, D.C. Townline Tunnel New Earthquakes Stadium Embassy of Germany, Stockholm New Nashville Ballpark Brooks Park Regents Center Huntington Park Kamogawa Seaworld Multipurpose Activity Center Peterson Gym Campo do Lenheiro Rodney Parade Convocation Center Mies de Cozada North Bay Memorial Gardens Stadion Stanovi Seaview Herschel Greer Stadium Halmstad Arena Penydarren Park Spring Mobile Ballpark Rancho Cucamonga Epicenter Grady Stadium Robert K. Kraft Field at Lawrence A. Wien Stadium Rizal Memorial Baseball Stadium Campo Atlético Charles H. Terry Allen Event Center Dallas Sportatorium Chace Athletic Center Estadio Teodoro Mariscal Azadi Basketball Hall Recreation Park Clyde Tunnel Scotstoun Stadium Bush Stadium D. J. Sokol Arena Inni í Dal Swope Soccer Village Junell Center TicketReturn.com Field UMBC Aquatic Complex Alumni Coliseum AT&T Field Basketball Arena Gene Polisseni Center Embassy of Luxembourg, Washington, D.C. Walter Pyramid Bright House Field King George V Park Oklahoma State Fair Arena Cougar Softball Stadium Raley Field Frontier Field Stadion Lapad Stadion Lučko New bus station of Hatvan Embassy of Argentina, Oslo Stade Louis II Luis A. Canena Marquez Stadium Johnson Gymnasium San Jose Municipal Stadium ULM Soccer Complex Space Coast Stadium Estadio Independencia Bill Armstrong Stadium Chicago Stadium Linda and Terry Fuller Track Ralston Arena GS Champions Park Löfbergs Lila Arena Richmond Oval Bernard Johnson Coliseum Falcon Park Hank Aaron Stadium Dwyer Stadium Grambling Stadium Kindrick Field Spartan Events Center Embassy of Mauritania in Washington, D.C. Lakefront Arena Matsumoto City Gymnasium Kezar Pavilion Nebraska Field Bartow Arena John M. Reeves Student Recreation Center chancery Show Me Center Estadio José Ortega Martínez Drake Fieldhouse Estadio Metropolitano de Techo Chevron Science Center Estadio Gran Mamoré John W. Pope, Jr. Convocation Center Waipio Peninsula Soccer Stadium Rosedale Field Kimmel Arena Towson Center Embassy of Germany, Helsinki Petersen Events Center Embassy of Romania, Washington, D.C. Robins Center Triton Ballpark Shree Shiv Chhatrapati Sports Complex Peoples Natural Gas Field Rollins Field KSU Convocation Center Cycledrome Physical Education Complex Wallace Wade Stadium No. 1 Court Memorial Stadium Gradski stadion Gradski stadion Fetzer Field Osborne Field Gradski stadion Gallery of Francis I Gaelic Park Osceola County Stadium Golden 1 Center Rita Hillenbrand Memorial Stadium Waukee Stadium Tsing Yi Sports Ground Nickerson Field LG Champions Park Yuen Long Stadium Bell Centennial Arena Vines Center Rogers Place J. P. Small Memorial Stadium Consulate General of the United States, Hamburg Bankers Life Fieldhouse Embassy of Iran, Stockholm New Britain Stadium Keaney Gymnasium Pritchard Gymnasium Allstate Arena Rafael A. Mangual Coliseum Champion Stadium PhilSports Arena Harry C. Pohlman Field Joe W. Davis Stadium Clark–LeClair Stadium George M. Steinbrenner Field Northlands Coliseum Chain of Lakes Park Shing Mun Valley Sports Ground George Nelson Fieldhouse Edwin "Puruco" Nolasco Coliseum Heritage Field at Stater Bros. Stadium BB&T Ballpark BB&T Ballpark Swanson Stadium Harrison Park Etelänkylän isosilta McNeese Arena Gillis Field House Tuen Mun Tang Shiu Kin Sports Ground Walter Baker Sports Centre Schneider Arena Municipal Stadium War Memorial Fieldhouse Arquelio Torres Ramírez Coliseum Centre d'Excellence Sports Rousseau Jon M. Huntsman Center Classic Park Juvenia Stadium Jimmye Laycock Football Center Germain Arena Hangar CMC-NorthEast Stadium Roy Wilkins Auditorium Bellefield Hall Feethams Stadion Park mladeži Tainan Municipal Baseball Stadium Bowling Green Ballpark American Legion Memorial Stadium Mariucci Arena Sleeman Centre Ninoy Aquino Stadium Kent State University Ice Arena Knights Stadium Eastern Washington Fieldhouse Gregory Gymnasium Mine Nachtigall FirstEnergy Stadium Kinnarps Arena Minersville Park Palacio de Recreación y Deportes Queenborough Oval Alaska Airlines Arena at Hec Edmundson Pavilion State Mutual Stadium Calihan Hall Parc y Scarlets Rottal Hut Prospect Oval Dale F. Halton Arena Lisbon Portela Airport LaBahn Arena Baza Sportivă Zoltan David 46th Street Metro Transit station Lake Olmstead Stadium Íþróttarhúsið á Torfnesi Macon Coliseum Eastham bridge PNC Field USF Soccer Stadium Hofstra Arena The Pavilion at Ole Miss Lahti Sports Center Alumni Hall Medison Hall Hampyeong Kia Challengers Field G. B. Hodge Center NYSEG Stadium Il-Foss Richmond County Bank Ballpark Embassy of Bolivia, Stockholm Joseph P. Riley, Jr. Park Joker Marchant Stadium Hickinbotham Oval Donnell stadium Estadio Country Club Bob Devaney Sports Center Kópavogsvöllur Madison Square Garden Luther Williams Field Princes Park Leonard E. Merrell Center Allen Arena Coca-Cola Park Coca-Cola Field Tom Tellez Track at Carl Lewis International Complex Peoria Sports Complex L. Dale Mitchell Baseball Park McLendon–McDougald Gymnasium Les Murakami Stadium Silver Stadium Elmore Gymnasium Jaguar Field Chelles Le Pin Airport Strahan Coliseum Veterans Memorial Stadium (League City) Mestský štadión Bardejov UIC Pavilion The Dell MCU Park McCasland Field House Allan Saxe Field Shaheed Kamruzzaman Stadium Kitchener Memorial Auditorium Complex McNichols Sports Arena Madison Square Garden Bowl Memorial Coliseum Busch Field The Lamb Ground Estadio Virgilio Tejeira Madison Square Garden Estadio Wilfrido Massieu Meaux Esbly Airport Stadion Gospin dolac Embassy of the Republic of Macedonia in Washington, D.C. Welford Road Stadium Estadio José Antonio Romero Feris Fifth Third Bank Ballpark Korsvollbanen East End Park Tudor Fieldhouse Hawkins Arena Hwaseong Heroes Baseball Park Arena Palestra Itália National Cycling Centre IU Michael A. Carroll Track & Soccer Stadium Assembly Hall Agganis Arena Blue Eagle Gym Luis T. Diaz Coliseum Grayson Stadium Lee & Helene Sapp Fieldhouse Embassy of the Philippines, Hanoi Ciutat Esportiva Joan Gamper White Auditorium Schmidt Field House The Kirkby Project Barrie Molson Centre Joseph L. Bruno Stadium Pontoise – Cormeilles Aerodrome Morrison Stadium The Pilot Field Manchester Velodrome Boyer Oval All Sports Stadium Hynes Athletic Center Cameron Indoor Stadium Estadio Francisco Carranza Limón Futebol Campus Bender Arena Cathedral of Learning Hofstra University Soccer Stadium Elizabeth Oval Barisal Divisional Stadium Throstle Nest Hilton Coliseum The Hive Stadium Bower Fold Northeast Delta Dental Stadium Pancho Arena Larson Ice Center Indiana State College Arena Lindquist Field Butler–Hancock Sports Pavilion Yeshurun Hall French Field Mt Cattlin mine Hamar stadion The Eilan SunTrust Park An Aird Four Seasons Arena Sarnia Arena Embassy of Brazil, Stockholm Racer Arena Philippine Arena Baxter Arena PNC Arena Woodville Oval Estadio Ciudad de Caseros Estadio Cibao Estadio Charrúa Momotaro Arena Crabble Athletic Ground United Spirit Arena Lognes-Émerainville Aerodrome Grainger Stadium Gyeongsan Ballpark Emilio E. Huyke Coliseum Fant–Ewing Coliseum Metro Bank Park Marriott Center Wellness, Recreation & Athletics Center Victory Field Trees Field Höllvikens IP Worthington Arena Centre Étienne Desmarteau Eugene E. Stone III Stadium Eugene E. Stone III Stadium Cooper Stadium Davenport Field Fluor Field at the West End Banja Ilidža Sky Blu Markham Centennial Centre D.C. Armory Werner Park Moye Complex Reggie Lewis Track and Athletic Center HTC Center Hofheinz Pavilion Csákvár Air Base Gradski stadion Rudi-Sedlmayer-Halle Fifth Third Field Parry Field Erv Huether Field Target Field Iowa State Armory Louisville Slugger Field League Field South Alabama Soccer Complex Mike A. Myers Stadium Stadion ETO Aggie Softball Complex Grady Cole Center Webster Bank Arena Bovard Field Reilly Center McKechnie Field Godwin Hall Regions Field Embassy of the Netherlands, Addis Ababa Tiger Arena Seosan Baseball Training Center Sartain Hall Bill Beck Field Arden Street Oval City Bank Coliseum Aces Ballpark Nestor Morales Stadium Western Australian Basketball Centre Stade Paul Julius Bénard Philippidès Stadium Benedum Hall Stony Brook University Arena Torfnesvöllur Windsor Park, Tasmania Riverside Park, Dawson Springs Embassy of France, Stockholm Dow Diamond Alberton Oval Sulphur Dell Toyota Center Whitaker Bank Ballpark Kern Center Derks Field Vancouver Forum TD Bank Sports Center Pairc nan Laoch Lumpinee Boxing Stadium Arad McCutchan Stadium Parc St. Victor Amarillo Civic Center CN Centre Frankston Park Alumni Arena (Armstrong Atlantic State University) Card Gymnasium Cam Henderson Center Embassy of Belgium, Oslo East Fremantle Oval Mike Martin Field at Dick Howser Stadium Millie West Tennis Facility Market Square Arena George M. Holmes Convocation Center Patriot Stadium Hartsdown Park McDermott Convocation Center Embassy of Switzerland, Berlin Isotopes Park Mine Theresia Schenley Park Casino Whittemore Center Embassy of Bangladesh, Stockholm Bob Wren Stadium Guaranteed Rate Field Bootham Crescent Malkin Athletic Center L. P. Frans Stadium McCormack–Nagelsen Tennis Center Durham Bulls Athletic Park Ciudad Deportiva de Paterna Barco Law Building Frank Erwin Center State Gymnasium Groves Stadium (1940) Dickey-Stephens Park Embassy of Brazil, Buenos Aires Craven Park, Hull Darden Field Winthrop Ballpark Stadion Šubićevac Schwan Super Rink Smith Spectrum Cheel Arena Ray E. Didier Field Ciudad Deportiva Millito Navarro Soldotna Sports Center Time Warner Cable Field at Fox Cities Stadium Embassy of Argentina, Moscow Pavilhão da Luz Nº 2 Pavilhão da Luz Nº 1 ULM Softball Complex Dr Mark and Cindy Lynn Stadium ONEOK Field Campo Conde Sucena Bassendean Oval Shea Stadium New Fenway Park Kardinia Park Zephyr Field Sun Devil Gym Rhode Island Auditorium Jules-Ladoumègue Crosley Field Lynah Rink Bught Park Velódromo Paulistano Rizal Memorial Coliseum Boyd Field Centennial Hall Memorial Gymnasium (Virginia) Bordeaux-Ségur station John B. Schuerholz Baseball Complex Kombihallen Cameron Hall Gangjin Baseball Park Xcel Energy Center Appalachian Power Park Leavey Center Chernomorets Arena Sandygate Road W. L. Zorn Arena Iowa Field House Campo das Salésias Edmonton Gardens Icardo Center Steel Slovakia aréna FIU Arena Auburn Arena Jenny Craig Pavilion Orlando City Stadium Charlotte Sports Park Plaskynaston Lane G. Richard Pfitzner Stadium Omni Coliseum Bringhurst Field Stumpf Field Aspmyra Stadion Hampton Convocation Center Renaissance Coliseum Five County Stadium Ludogorets Arena Bastion Road Selkirk Recreation Complex Lindab Arena Centene Stadium Salem Memorial Baseball Stadium Calvin Falwell Field Allen Fieldhouse Stadion Gradski vrt Harry Grove Stadium Arvest Ballpark Glass Bowl Haig Avenue Embassy of the Netherlands, Maputo CEPSUM Capital Centre Plumeri Park RFUEA Ground Moody Coliseum Fusha Sportive Adriatik Sialkot Hockey Stadium Luton Town F.C. stadiums Halsey Field House Mine Herberholz Bishan Sports Hall Don Bosco Sportközpont Hammond Stadium New Beaver Field Yokkaichi Dome Prince George's Stadium Tointon Family Stadium Curb Event Center Sponaugle–Williamson Field John Walker Soccer Complex AXA Sports Center Estadio General Ángel Flores Savage Arena Hadlock Field York Park First Tennessee Field Post Office Road Hobbs Municipal Ice Center Reynolds Center RBC Centre (Sarnia) McCook Field Waldo Stadium Pierre Werner Cricket Ground Embassy of Zimbabwe, London Cosgrove Marcus Messer Athletic Center Edmunds Center Odsal Stadium Wachs Arena Dinamo Polyvalent Hall Williams Arena Lindarängen Aerodrome Ligi Ndogo Grounds Zentralstadion Estadio Nemesio Díez Tony Gwynn Stadium Bramlage Coliseum Tyson Events Center UNF Arena Embassy of Poland, Stockholm Dunn–Oliver Acadome Mitchell Stadium Petit-Bois Stadium T.G. Smith Centre Riverside Arena Oncenter War Memorial Arena Auditorio Juan Pachín Vicéns Valley Preferred Cycling Center Cooley Law School Stadium Dahlberg Arena El Paso County Coliseum Montagne Center Stadion PMFC McKeon Pavilion Alfred A. McKethan Stadium Blackham Coliseum Red and Charline McCombs Field Centennial Field Gimnasio USBI Ferrell Center NewBridge Bank Park The Ballpark at Harbor Yard Swayze Field Stony Brook Sports Complex Hunter Sportsplex Texas A&M-Commerce Field House UNCG Soccer Stadium FAU Arena Estadio Alfonso Colmán Lake Elsinore Diamond Plough Lane Chuadanga Town Football Ground Pirate City David Lawrence Hall Fulfordgate Trojan Arena Kurama-dera Cable Allen Hall TD Arena LeSports Center Proposed domed Brooklyn Dodgers stadium Toyota Center UWE Stadium WVU Coliseum Estadio Teodoro Lolo Fernández Peter Stott Center Marlins Park Karşıyaka Arena Cisco Field NTC Senec Comalander Stadium Fotbalový stadion Josefa Masopusta Taipei Arena Glenelg Oval Knott Arena Maclellan Gymnasium McCormick Field Chickasaw Bricktown Ballpark Fifth Third Field Deeside Stadium Estádio da Rua Campos Sales Embassy of Germany, Maputo Azadi Volleyball Hall Zamir Jaffri Cricket Stadium Bainton Field Estadio Manuel "Ciclón" Echeverría Arm & Hammer Park Coolray Field Pitt Stadium Coop Norrbotten Arena Sydney Showground (Olympic Park) Athletic Park (Vancouver) Costello Athletic Center Embassy of Armenia, Washington, D.C. Montgomery Riverwalk Stadium Riverside Sports Complex
Lahti Sports Center, Bob Devaney Sports Center and MCU Park were managed by min number of organizations
Lahti Sports Center Bob Devaney Sports Center MCU Park
action argmin
action find_tuple_counts
relation operator
type architectural structure
type organization
[{'concept': 'architectural structure'}, 'operator', {'concept': 'organization'}]
SELECT DISTINCT ?m WHERE { { SELECT DISTINCT ( MIN ( ?r ) AS ?e ) { SELECT DISTINCT ?f ( COUNT ( ?t ) AS ?r ) WHERE { ?f property:operator ?t . ?f rdf:type ontology:architectural_structure . ?t rdf:type ontology:organization } GROUP BY ?f } } . { SELECT DISTINCT ?m ( COUNT ( ?s ) AS ?x ) WHERE { ?m property:operator ?s . ?m rdf:type ontology:architectural_structure . ?s rdf:type ontology:organization } GROUP BY ?m } . FILTER ( ?x = ?e ) }
[]
Comparative Reasoning (All)
Comparative|More/Less|Single entity type
Q378181
P137
Q4830453 Q811979
USER
Which business enterprises can manage lesser number of architectural structures than Chemins de fer du Midi ?
(c(Q811979),P137,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P137
type Q4830453
type Q811979
action count
action filter_type
action find_reverse
entity Q378181
relation P137
type Q811979
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q4830453'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( COUNT ( ?u ) AS ?c ) WHERE { ?u property:P137 resource:Q378181 . ?u rdf:type ontology:Q811979 } } . FILTER ( ?k < ?c ) . { SELECT DISTINCT ?p ( COUNT ( ?v ) AS ?k ) WHERE { ?v property:P137 ?p . ?p rdf:type ontology:Q4830453 . ?v rdf:type ontology:Q811979 } GROUP BY ?p } }
Chemins de fer du Midi
action less
action find_reverse_tuple_counts
relation operator
type business enterprise
type architectural structure
action count
action filter_type
action find_reverse
entity Chemins de fer du Midi
relation operator
type architectural structure
[{'concept': 'architectural structure'}, 'operator', {'concept': 'business enterprise'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( COUNT ( ?u ) AS ?c ) WHERE { ?u property:operator resource:Chemins_de_fer_du_Midi . ?u rdf:type ontology:architectural_structure } } . FILTER ( ?k < ?c ) . { SELECT DISTINCT ?p ( COUNT ( ?v ) AS ?k ) WHERE { ?v property:operator ?p . ?p rdf:type ontology:business_enterprise . ?v rdf:type ontology:architectural_structure } GROUP BY ?p } }
[]
business enterprise architectural structure
Q48989 Q66 Q52825
SYSTEM
ZDF, Boeing, ABB Group
Q2024025 Q904482 Q453211 Q1754870 Q3500373 Q7531314 Q1004068 Q2146117 Q318006 Q7417063 Q171985 Q321586 Q468385 Q666922 Q1997636 Q3055404 Q1016948 Q902025 Q839557 Q875494 Q3069734 Q1419444 Q1202329 Q1671384 Q1235460 Q1951373 Q1024380 Q15834870 Q119161 Q1973158 Q1770539 Q2407640 Q4834524 Q106158 Q896047 Q309867 Q1710037 Q2581356 Q1946820 Q2843047 Q181653 Q766647 Q1472738 Q1072021 Q648081 Q871174 Q359293 Q1202561 Q2294508 Q499967 Q17978 Q925995 Q564937 Q3045727 Q876017 Q1258373 Q15848474 Q1814208 Q1311594 Q2989867 Q679885 Q1162114 Q461289 Q2989926 Q837860 Q917988 Q1239275 Q1028212 Q3633141 Q2113906 Q1631655 Q2407391 Q3502873 Q2320362 Q451124 Q634227 Q125943 Q464339 Q2825633 Q1670669 Q3347525 Q52825 Q1327441 Q1152084 Q2537722 Q4073726 Q1069379 Q372974 Q1378919 Q826750 Q1433790 Q649618 Q3963835 Q12859175 Q7674943 Q1028205 Q23011717 Q536878 Q2146121 Q1544319 Q1069381 Q498404 Q2069121 Q1539648 Q2647999 Q12591271 Q1071790 Q656554 Q1130022 Q1061817 Q2208728 Q1585967 Q1354909 Q1124796 Q1779703 Q481535 Q117215 Q1353871 Q1544615 Q633519 Q567000 Q6482976 Q687175 Q168082 Q498553 Q277030 Q1212730 Q1301181 Q23689706 Q2962329 Q2136516 Q2393003 Q3963844 Q2261937 Q3963848 Q5998584 Q298969 Q943113 Q876720 Q2989938 Q15859657 Q24233938 Q781593 Q1116993 Q663120 Q2989936 Q1070560 Q746503 Q745700 Q2990397 Q6442235 Q2990395 Q682863 Q678188 Q465567 Q328840 Q1190006 Q450071 Q918747 Q48989 Q262673 Q1550653 Q1418307 Q881184 Q1135367 Q408507 Q1536338 Q1964944 Q842170 Q190795 Q1982817 Q381100 Q1071804 Q7885982 Q685792 Q1544279 Q1766623 Q1180332 Q13013270 Q54718 Q6144562 Q18651250 Q693105 Q541879 Q1245875 Q442450 Q444183 Q1272318 Q1093332 Q1016648 Q2645718 Q7981546 Q846655 Q3406209 Q477312 Q20394 Q638715 Q1276275 Q12374454 Q125908 Q997052 Q945198 Q1394642 Q1054033 Q663187 Q1529921 Q1135434 Q1479375 Q1750203 Q193701 Q1672471 Q3743736 Q1371464 Q1053974 Q1734331 Q1982888 Q26128885 Q610141 Q175292 Q1183933 Q3997890 Q1397107 Q1121125 Q489565 Q809087 Q1868748 Q504423 Q3737187 Q1197895 Q2876592 Q727176 Q1277782 Q201850 Q3024830 Q1932006 Q917079 Q66 Q870257 Q1410337 Q5159452 Q683873
(c(Q811979),P137,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P137
type Q4830453
type Q811979
action count
action filter_type
action find_reverse
entity Q378181
relation P137
type Q811979
[ANSWERS] can manage lesser number of architectural structures than Chemins de fer du Midi
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q4830453'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( COUNT ( ?u ) AS ?c ) WHERE { ?u property:P137 resource:Q378181 . ?u rdf:type ontology:Q811979 } } . FILTER ( ?k < ?c ) . { SELECT DISTINCT ?p ( COUNT ( ?v ) AS ?k ) WHERE { ?v property:P137 ?p . ?p rdf:type ontology:Q4830453 . ?v rdf:type ontology:Q811979 } GROUP BY ?p } }
WestfalenBahn Brecon and Merthyr Railway BC Rail Stadtwerke Verkehrsgesellschaft Frankfurt am Main Washington State Ferries St Vincent's Health Australia Bulgarian National Television Rete Adriatica Grand Duchy of Oldenburg State Railways Sandwell and West Birmingham Hospitals NHS Trust Massachusetts Bay Transportation Authority Reichspost Blue Funnel Line Matterhorn Gotthard Bahn Nordbahn Eisenbahngesellschaft St. Louis Southwestern Railway Burry Port and Gwendraeth Valley Railway Braunschweigische Landes-Eisenbahn-Gesellschaft Rotterdamse Elektrische Tram Palatinate Railway Ferrocarriles Nacionales de México First Great Western Link Deutsche Eisenbahn-Betriebsgesellschaft Interstate Railroad Alaska Railroad Chemin de fer de Paris à Orléans et du Midi Canada Steamship Lines Meridian Schweizerische Centralbahn Neath and Brecon Railway Nortraship Texas Mexican Railway BAE Systems Inc. Standard & Poor's Grand Duchy of Mecklenburg Friedrich-Franz Railway Arianespace Süddeutsche Eisenbahn-Gesellschaft Arriva Personenvervoer Nederland Moore-McCormack AT&T Corporation Deutsche Bundespost Metrolink New York, New Haven and Hartford Railroad Chicago and North Western Transportation Company Nashville, Chattanooga and St. Louis Railway Československé státní dráhy Soo Line Railroad Deutsche Funkturm Slovenské železnice Türkiye Cumhuriyeti Devlet Demiryolları Toronto Transit Commission Missouri–Kansas–Texas Railroad Royal Bavarian State Railways E.ON UK Israel Aerospace Industries Southern St. Gallen–Gais–Appenzell–Altstätten-Bahn Metra Eisenbahnen und Verkehrsbetriebe Elbe-Weser Compagnie de chemins de fer départementaux BLS Lötschbergbahn Victorian Railways Grand Duchy of Baden State Railway Société anonyme luxembourgeoise des chemins de fer et minières Prince-Henri Reading Company Bristol and Exeter Railway Western Pacific Railroad Cambrian Railways East Indian Railway Company Providence and Worcester Railroad STIB/MIVB Teutoburger Wald-Eisenbahn Telepace St. Louis–San Francisco Railway Royal Württemberg State Railways Beechcraft Long Island Rail Road Royal Saxon State Railways Aeromarine K.k. Südliche Staatsbahn OC Transpo ABB Group Oktyabrskaya Railway DB Regio NRW WSW Wuppertaler Stadtwerke Aeroexpress Chemins de Fer de la Corse Kaiser Ferdinands-Nordbahn Eutin-Lübecker Eisenbahn Chemins de fer d'Alsace et de Lorraine Halle-Hettstedter Eisenbahn-Gesellschaft Rádio e Televisão de Portugal Società per le Strade Ferrate Meridionali Network SouthEast Taff Vale Railway Cambria and Indiana Railroad DAKK Dél-alföldi Közlekedési Központ Midland and South Western Junction Railway Rete Mediterranea Great North of Scotland Railway Chemins de fer du Jura bernois Chicago, Rock Island and Pacific Railroad Pennsylvania-Reading Seashore Lines Gotthardbahn Allan Line Royal Mail Steamers Daegu Metropolitan Transit Corporation Chicago, Burlington and Quincy Railroad Carnival Cruise Lines London and South Western Railway Chandris Line SWB Bus und Bahn Rio Grande Southern Railroad Erixx Wabash Railroad Lancashire and Yorkshire Railway Harzer Schmalspurbahnen Transpole Virginian Railway Green Mountain Railroad Córas Iompair Éireann Chiltern Railways Lancashire, Derbyshire and East Coast Railway Deutsche Bundesbahn Hungarian State Railways New Jersey Transit Imperial Royal Austrian State Railways Mährische Grenzbahn London and Birmingham Railway Bosnian-Herzegowinian State Railways Chemin de fer Arnaud Reederei Norden-Frisia Autoroutes Paris-Rhin-Rhône Società per le strade ferrate dell'Alta Italia Seaboard System Railroad Società per le Strade Ferrate Romane Compagnie du chemin de fer de Paris à Orléans Imperial Royal Privileged Austrian State Railway Company Chicago and Eastern Illinois Railroad Via Rail Compagnie des chemins de fer de la Vendée Kleinbahn-Gesellschaft Greifswald–Jarmen South African Railways and Harbours Administration Australian National Railways Commission Commonwealth Railways Southern Railway Chemins de fer des Charentes Chesapeake and Ohio Railway Volánbusz Princess Cruises Compañía de los Ferrocarriles de Madrid a Zaragoza y Alicante Incheon International Airport Corporation Compañía de los caminos de hierro del Norte DELAG Vereinigte Schweizerbahnen American Line Visa Inc. Denver and Rio Grande Western Railroad Schweizerische Nordostbahn Louisville and Nashville Railroad ZDF Seaboard Coast Line Railroad Soviet Railways Frankfurt-Königsteiner Eisenbahn Imperial Railways in Alsace-Lorraine Corris Railway Aircraft Transport and Travel Wädenswil-Einsiedeln-Bahn Bundesbahnen Österreich Wisconsin Central Ltd. Roscosmos State Corporation New Orleans and Northeastern Railroad Dopravní podnik hlavního města Prahy Chicago, Milwaukee, St. Paul and Pacific Railroad Union Railroad Austrian Southern Railway Great Eastern Railway TriMet MÁV START Zrt. The Transport Co. Ltd. Yle, the Finnish Broadcasting Company The Great Southern of Spain Railway Company Limited Shanghai Shentong Metro Group Co., Ltd. Highland Railway Chemins de fer du Nord Missouri Pacific Railroad Florida East Coast Railway Erie Lackawanna Railway Great Northern Railway Illinois Central Railroad Burlington Northern Railroad Grand Trunk Railway Wellington and Manawatu Railway Company Israel Railways Llanberis Lake Railway United States Lines Seoul Metro Boston and Maine Corporation Euregio Verkehrsschienennetz S-Bahn Berlin GmbH Metro-North Railroad Brünn-Rossitzer Eisenbahn Quebecair Furness Railway Central Trains Chemins de fer de l'Est South Eastern Railway Northern Pacific Railway MTR Corporation North British Railway SpaceX Lambourn Valley Railway Ferrovie Elettriche Biellesi New York Central Railroad Central Railroad of New Jersey Wisconsin Central Railway New South Wales Government Railways Tanganyika Railway Société générale des chemins de fer économiques Seaboard Air Line Railroad Delaware, Lackawanna and Western Railroad Caledonian Railway Farrell Lines Chemins de fer Orientaux London, Brighton and South Coast Railway Barry Railway Company Lombardisch-venetianische Eisenbahnen Western Maryland Railway Dobroflot Pennsylvania Railroad B-Cargo Radio and Television Slovakia East Coast Kansas City Southern Railway Deutsche Eisenbahn-Gesellschaft Midland Railway Norfolk and Western Railway Boeing Jura–Simplon Railway Ffestiniog Railway Cone Health Prussian state railways
ZDF, Boeing and ABB Group can manage lesser number of architectural structures than Chemins de fer du Midi
ZDF Boeing ABB Group
action less
action find_reverse_tuple_counts
relation operator
type business enterprise
type architectural structure
action count
action filter_type
action find_reverse
entity Chemins de fer du Midi
relation operator
type architectural structure
[{'concept': 'architectural structure'}, 'operator', {'concept': 'business enterprise'}]
SELECT DISTINCT ?p WHERE { { SELECT DISTINCT ( COUNT ( ?u ) AS ?c ) WHERE { ?u property:operator resource:Chemins_de_fer_du_Midi . ?u rdf:type ontology:architectural_structure } } . FILTER ( ?k < ?c ) . { SELECT DISTINCT ?p ( COUNT ( ?v ) AS ?k ) WHERE { ?v property:operator ?p . ?p rdf:type ontology:business_enterprise . ?v rdf:type ontology:architectural_structure } GROUP BY ?p } }
[]
Comparative Reasoning (All)
Comparative|More/Less|Single entity type|Incomplete
Q158276
P137
Q4830453 Q811979
USER
And also tell me about AEG?
(c(Q811979),P137,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P137
type Q4830453
type Q811979
action count
action filter_type
action find_reverse
entity Q158276
relation P137
type Q811979
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q4830453'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?k ) AS ?f ) WHERE { ?k property:P137 ?h . ?h rdf:type ontology:Q4830453 . ?k rdf:type ontology:Q811979 } GROUP BY ?h } . { SELECT DISTINCT ( COUNT ( ?y ) AS ?m ) WHERE { ?y property:P137 resource:Q158276 . ?y rdf:type ontology:Q811979 } } . FILTER ( ?f < ?m ) }
AEG
action less
action find_reverse_tuple_counts
relation operator
type business enterprise
type architectural structure
action count
action filter_type
action find_reverse
entity AEG
relation operator
type architectural structure
[{'concept': 'architectural structure'}, 'operator', {'concept': 'business enterprise'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?k ) AS ?f ) WHERE { ?k property:operator ?h . ?h rdf:type ontology:business_enterprise . ?k rdf:type ontology:architectural_structure } GROUP BY ?h } . { SELECT DISTINCT ( COUNT ( ?y ) AS ?m ) WHERE { ?y property:operator resource:AEG . ?y rdf:type ontology:architectural_structure } } . FILTER ( ?f < ?m ) }
[]
business enterprise architectural structure
Q48989 Q66 Q52825
SYSTEM
ZDF, Boeing, ABB Group
Q2024025 Q904482 Q453211 Q1754870 Q3500373 Q7531314 Q1004068 Q2146117 Q318006 Q7417063 Q171985 Q321586 Q468385 Q666922 Q1997636 Q3055404 Q1016948 Q902025 Q839557 Q875494 Q3069734 Q1419444 Q1202329 Q1671384 Q1235460 Q1951373 Q1024380 Q15834870 Q119161 Q1973158 Q1770539 Q2407640 Q4834524 Q106158 Q896047 Q309867 Q1710037 Q2581356 Q1946820 Q2843047 Q181653 Q766647 Q1472738 Q1072021 Q648081 Q871174 Q359293 Q1202561 Q2294508 Q499967 Q17978 Q925995 Q564937 Q3045727 Q876017 Q1258373 Q15848474 Q1814208 Q1311594 Q2989867 Q679885 Q1162114 Q461289 Q2989926 Q837860 Q917988 Q1239275 Q1028212 Q3633141 Q2113906 Q1631655 Q2407391 Q3502873 Q2320362 Q451124 Q634227 Q125943 Q464339 Q2825633 Q1670669 Q3347525 Q52825 Q1327441 Q1152084 Q2537722 Q4073726 Q1069379 Q372974 Q1378919 Q826750 Q1433790 Q649618 Q3963835 Q12859175 Q7674943 Q1028205 Q23011717 Q536878 Q2146121 Q1544319 Q1069381 Q498404 Q2069121 Q1539648 Q2647999 Q12591271 Q1071790 Q656554 Q1130022 Q1061817 Q2208728 Q1585967 Q1354909 Q1124796 Q1779703 Q481535 Q117215 Q1353871 Q1544615 Q633519 Q567000 Q6482976 Q687175 Q168082 Q498553 Q277030 Q1212730 Q1301181 Q23689706 Q2962329 Q2136516 Q2393003 Q3963844 Q2261937 Q3963848 Q5998584 Q298969 Q943113 Q876720 Q2989938 Q15859657 Q24233938 Q781593 Q1116993 Q663120 Q2989936 Q1070560 Q746503 Q745700 Q2990397 Q6442235 Q2990395 Q682863 Q678188 Q465567 Q328840 Q1190006 Q450071 Q918747 Q48989 Q262673 Q1550653 Q1418307 Q881184 Q1135367 Q408507 Q1536338 Q1964944 Q842170 Q190795 Q1982817 Q381100 Q1071804 Q7885982 Q685792 Q1544279 Q1766623 Q1180332 Q13013270 Q54718 Q6144562 Q18651250 Q693105 Q541879 Q1245875 Q442450 Q444183 Q1272318 Q1093332 Q1016648 Q2645718 Q7981546 Q846655 Q3406209 Q477312 Q20394 Q638715 Q1276275 Q12374454 Q125908 Q997052 Q945198 Q1394642 Q1054033 Q663187 Q1529921 Q1135434 Q1479375 Q1750203 Q193701 Q1672471 Q3743736 Q1371464 Q1053974 Q1734331 Q1982888 Q26128885 Q610141 Q175292 Q1183933 Q3997890 Q1397107 Q1121125 Q489565 Q809087 Q1868748 Q504423 Q3737187 Q1197895 Q2876592 Q727176 Q1277782 Q201850 Q3024830 Q1932006 Q917079 Q66 Q870257 Q1410337 Q5159452 Q683873
(c(Q811979),P137,c(Q4830453))
action less
action find_reverse_tuple_counts
relation P137
type Q4830453
type Q811979
action count
action filter_type
action find_reverse
entity Q158276
relation P137
type Q811979
[ANSWERS]
[{'concept': 'Q811979'}, 'P137', {'concept': 'Q4830453'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?k ) AS ?f ) WHERE { ?k property:P137 ?h . ?h rdf:type ontology:Q4830453 . ?k rdf:type ontology:Q811979 } GROUP BY ?h } . { SELECT DISTINCT ( COUNT ( ?y ) AS ?m ) WHERE { ?y property:P137 resource:Q158276 . ?y rdf:type ontology:Q811979 } } . FILTER ( ?f < ?m ) }
WestfalenBahn Brecon and Merthyr Railway BC Rail Stadtwerke Verkehrsgesellschaft Frankfurt am Main Washington State Ferries St Vincent's Health Australia Bulgarian National Television Rete Adriatica Grand Duchy of Oldenburg State Railways Sandwell and West Birmingham Hospitals NHS Trust Massachusetts Bay Transportation Authority Reichspost Blue Funnel Line Matterhorn Gotthard Bahn Nordbahn Eisenbahngesellschaft St. Louis Southwestern Railway Burry Port and Gwendraeth Valley Railway Braunschweigische Landes-Eisenbahn-Gesellschaft Rotterdamse Elektrische Tram Palatinate Railway Ferrocarriles Nacionales de México First Great Western Link Deutsche Eisenbahn-Betriebsgesellschaft Interstate Railroad Alaska Railroad Chemin de fer de Paris à Orléans et du Midi Canada Steamship Lines Meridian Schweizerische Centralbahn Neath and Brecon Railway Nortraship Texas Mexican Railway BAE Systems Inc. Standard & Poor's Grand Duchy of Mecklenburg Friedrich-Franz Railway Arianespace Süddeutsche Eisenbahn-Gesellschaft Arriva Personenvervoer Nederland Moore-McCormack AT&T Corporation Deutsche Bundespost Metrolink New York, New Haven and Hartford Railroad Chicago and North Western Transportation Company Nashville, Chattanooga and St. Louis Railway Československé státní dráhy Soo Line Railroad Deutsche Funkturm Slovenské železnice Türkiye Cumhuriyeti Devlet Demiryolları Toronto Transit Commission Missouri–Kansas–Texas Railroad Royal Bavarian State Railways E.ON UK Israel Aerospace Industries Southern St. Gallen–Gais–Appenzell–Altstätten-Bahn Metra Eisenbahnen und Verkehrsbetriebe Elbe-Weser Compagnie de chemins de fer départementaux BLS Lötschbergbahn Victorian Railways Grand Duchy of Baden State Railway Société anonyme luxembourgeoise des chemins de fer et minières Prince-Henri Reading Company Bristol and Exeter Railway Western Pacific Railroad Cambrian Railways East Indian Railway Company Providence and Worcester Railroad STIB/MIVB Teutoburger Wald-Eisenbahn Telepace St. Louis–San Francisco Railway Royal Württemberg State Railways Beechcraft Long Island Rail Road Royal Saxon State Railways Aeromarine K.k. Südliche Staatsbahn OC Transpo ABB Group Oktyabrskaya Railway DB Regio NRW WSW Wuppertaler Stadtwerke Aeroexpress Chemins de Fer de la Corse Kaiser Ferdinands-Nordbahn Eutin-Lübecker Eisenbahn Chemins de fer d'Alsace et de Lorraine Halle-Hettstedter Eisenbahn-Gesellschaft Rádio e Televisão de Portugal Società per le Strade Ferrate Meridionali Network SouthEast Taff Vale Railway Cambria and Indiana Railroad DAKK Dél-alföldi Közlekedési Központ Midland and South Western Junction Railway Rete Mediterranea Great North of Scotland Railway Chemins de fer du Jura bernois Chicago, Rock Island and Pacific Railroad Pennsylvania-Reading Seashore Lines Gotthardbahn Allan Line Royal Mail Steamers Daegu Metropolitan Transit Corporation Chicago, Burlington and Quincy Railroad Carnival Cruise Lines London and South Western Railway Chandris Line SWB Bus und Bahn Rio Grande Southern Railroad Erixx Wabash Railroad Lancashire and Yorkshire Railway Harzer Schmalspurbahnen Transpole Virginian Railway Green Mountain Railroad Córas Iompair Éireann Chiltern Railways Lancashire, Derbyshire and East Coast Railway Deutsche Bundesbahn Hungarian State Railways New Jersey Transit Imperial Royal Austrian State Railways Mährische Grenzbahn London and Birmingham Railway Bosnian-Herzegowinian State Railways Chemin de fer Arnaud Reederei Norden-Frisia Autoroutes Paris-Rhin-Rhône Società per le strade ferrate dell'Alta Italia Seaboard System Railroad Società per le Strade Ferrate Romane Compagnie du chemin de fer de Paris à Orléans Imperial Royal Privileged Austrian State Railway Company Chicago and Eastern Illinois Railroad Via Rail Compagnie des chemins de fer de la Vendée Kleinbahn-Gesellschaft Greifswald–Jarmen South African Railways and Harbours Administration Australian National Railways Commission Commonwealth Railways Southern Railway Chemins de fer des Charentes Chesapeake and Ohio Railway Volánbusz Princess Cruises Compañía de los Ferrocarriles de Madrid a Zaragoza y Alicante Incheon International Airport Corporation Compañía de los caminos de hierro del Norte DELAG Vereinigte Schweizerbahnen American Line Visa Inc. Denver and Rio Grande Western Railroad Schweizerische Nordostbahn Louisville and Nashville Railroad ZDF Seaboard Coast Line Railroad Soviet Railways Frankfurt-Königsteiner Eisenbahn Imperial Railways in Alsace-Lorraine Corris Railway Aircraft Transport and Travel Wädenswil-Einsiedeln-Bahn Bundesbahnen Österreich Wisconsin Central Ltd. Roscosmos State Corporation New Orleans and Northeastern Railroad Dopravní podnik hlavního města Prahy Chicago, Milwaukee, St. Paul and Pacific Railroad Union Railroad Austrian Southern Railway Great Eastern Railway TriMet MÁV START Zrt. The Transport Co. Ltd. Yle, the Finnish Broadcasting Company The Great Southern of Spain Railway Company Limited Shanghai Shentong Metro Group Co., Ltd. Highland Railway Chemins de fer du Nord Missouri Pacific Railroad Florida East Coast Railway Erie Lackawanna Railway Great Northern Railway Illinois Central Railroad Burlington Northern Railroad Grand Trunk Railway Wellington and Manawatu Railway Company Israel Railways Llanberis Lake Railway United States Lines Seoul Metro Boston and Maine Corporation Euregio Verkehrsschienennetz S-Bahn Berlin GmbH Metro-North Railroad Brünn-Rossitzer Eisenbahn Quebecair Furness Railway Central Trains Chemins de fer de l'Est South Eastern Railway Northern Pacific Railway MTR Corporation North British Railway SpaceX Lambourn Valley Railway Ferrovie Elettriche Biellesi New York Central Railroad Central Railroad of New Jersey Wisconsin Central Railway New South Wales Government Railways Tanganyika Railway Société générale des chemins de fer économiques Seaboard Air Line Railroad Delaware, Lackawanna and Western Railroad Caledonian Railway Farrell Lines Chemins de fer Orientaux London, Brighton and South Coast Railway Barry Railway Company Lombardisch-venetianische Eisenbahnen Western Maryland Railway Dobroflot Pennsylvania Railroad B-Cargo Radio and Television Slovakia East Coast Kansas City Southern Railway Deutsche Eisenbahn-Gesellschaft Midland Railway Norfolk and Western Railway Boeing Jura–Simplon Railway Ffestiniog Railway Cone Health Prussian state railways
ZDF Boeing ABB Group
action less
action find_reverse_tuple_counts
relation operator
type business enterprise
type architectural structure
action count
action filter_type
action find_reverse
entity AEG
relation operator
type architectural structure
[{'concept': 'architectural structure'}, 'operator', {'concept': 'business enterprise'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?k ) AS ?f ) WHERE { ?k property:operator ?h . ?h rdf:type ontology:business_enterprise . ?k rdf:type ontology:architectural_structure } GROUP BY ?h } . { SELECT DISTINCT ( COUNT ( ?y ) AS ?m ) WHERE { ?y property:operator resource:AEG . ?y rdf:type ontology:architectural_structure } } . FILTER ( ?f < ?m ) }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count over Atleast/ Atmost/ Approx. the same/Equal|Mult. entity type
P101
Q386724 Q1914636 Q43229
USER
How many organizations have his/her area as approximately 2 works or activities ?
(c(Q43229),P101,c(Q386724)|c(Q1914636))
action count
action approx
action union
action find_tuple_counts
relation P101
type Q43229
type Q386724
action find_tuple_counts
relation P101
type Q43229
type Q1914636
value 2
[{'concept': 'Q43229'}, 'P101', [{'concept': 'Q386724'}, {'concept': 'Q1914636'}]]
SELECT DISTINCT ( COUNT ( ?e ) AS ?c ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) ?e WHERE { { ?e property:P101 ?h . ?e rdf:type ontology:Q43229 . ?h rdf:type ontology:Q386724 } UNION { ?h rdf:type ontology:Q1914636 . ?e rdf:type ontology:Q43229 . ?e property:P101 ?h } } GROUP BY ?e } . FILTER ( ?u = 2 ) }
action count
action approx
action union
action find_tuple_counts
relation field of work
type organization
type work
action find_tuple_counts
relation field of work
type organization
type activity
value 2
[{'concept': 'organization'}, 'field of work', [{'concept': 'work'}, {'concept': 'activity'}]]
SELECT DISTINCT ( COUNT ( ?e ) AS ?c ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) ?e WHERE { { ?e property:field_of_work ?h . ?e rdf:type ontology:organization . ?h rdf:type ontology:work } UNION { ?h rdf:type ontology:activity . ?e rdf:type ontology:organization . ?e property:field_of_work ?h } } GROUP BY ?e } . FILTER ( ?u = 2 ) }
[]
work activity organization
SYSTEM
1
Q1202877
(c(Q43229),P101,c(Q386724)|c(Q1914636))
action count
action approx
action union
action find_tuple_counts
relation P101
type Q43229
type Q386724
action find_tuple_counts
relation P101
type Q43229
type Q1914636
value 2
[ANSWER]
[{'concept': 'Q43229'}, 'P101', [{'concept': 'Q386724'}, {'concept': 'Q1914636'}]]
SELECT DISTINCT ( COUNT ( ?e ) AS ?c ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) ?e WHERE { { ?e property:P101 ?h . ?e rdf:type ontology:Q43229 . ?h rdf:type ontology:Q386724 } UNION { ?h rdf:type ontology:Q1914636 . ?e rdf:type ontology:Q43229 . ?e property:P101 ?h } } GROUP BY ?e } . FILTER ( ?u = 2 ) }
German Professional Association for Information & Knowledge
1
action count
action approx
action union
action find_tuple_counts
relation field of work
type organization
type work
action find_tuple_counts
relation field of work
type organization
type activity
value 2
[{'concept': 'organization'}, 'field of work', [{'concept': 'work'}, {'concept': 'activity'}]]
SELECT DISTINCT ( COUNT ( ?e ) AS ?c ) WHERE { { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) ?e WHERE { { ?e property:field_of_work ?h . ?e rdf:type ontology:organization . ?h rdf:type ontology:work } UNION { ?h rdf:type ontology:activity . ?e rdf:type ontology:organization . ?e property:field_of_work ?h } } GROUP BY ?e } . FILTER ( ?u = 2 ) }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Single entity type
Q48989
P17
Q1048835
USER
How many political territories are ZDF a part of ?
(Q48989,P17,c(Q1048835))
action count
action filter_type
action find
entity Q48989
relation P17
type Q1048835
['Q48989', 'P17', {'concept': 'Q1048835'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) WHERE { resource:Q48989 property:P17 ?n . ?n rdf:type ontology:Q1048835 }
ZDF
action count
action filter_type
action find
entity ZDF
relation country
type political territorial entity
['ZDF', 'country', {'concept': 'political territorial entity'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) WHERE { resource:ZDF property:country ?n . ?n rdf:type ontology:political_territorial_entity }
[]
political territorial entity
SYSTEM
1
Q183
(Q48989,P17,c(Q1048835))
action count
action filter_type
action find
entity Q48989
relation P17
type Q1048835
[ANSWER]
['Q48989', 'P17', {'concept': 'Q1048835'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) WHERE { resource:Q48989 property:P17 ?n . ?n rdf:type ontology:Q1048835 }
Germany
1
action count
action filter_type
action find
entity ZDF
relation country
type political territorial entity
['ZDF', 'country', {'concept': 'political territorial entity'}]
SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) WHERE { resource:ZDF property:country ?n . ?n rdf:type ontology:political_territorial_entity }
[]
Quantitative Reasoning (Count) (All)
Incomplete count-based ques
Q21964818
Q1048835
USER
And what about Scrubby Hill?
(Q21964818,P17,c(Q1048835))
action count
action filter_type
action find
entity Q21964818
relation P17
type Q1048835
['Q21964818', 'P17', {'concept': 'Q1048835'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?f ) WHERE { resource:Q21964818 property:P17 ?y . ?y rdf:type ontology:Q1048835 }
Scrubby Hill
action count
action filter_type
action find
entity Scrubby Hill
relation country
type political territorial entity
['Scrubby Hill', 'country', {'concept': 'political territorial entity'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?f ) WHERE { resource:Scrubby_Hill property:country ?y . ?y rdf:type ontology:political_territorial_entity }
[]
political territorial entity
SYSTEM
1
(Q21964818,P17,c(Q1048835))
action count
action filter_type
action find
entity Q21964818
relation P17
type Q1048835
[ANSWER]
['Q21964818', 'P17', {'concept': 'Q1048835'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?f ) WHERE { resource:Q21964818 property:P17 ?y . ?y rdf:type ontology:Q1048835 }
1
action count
action filter_type
action find
entity Scrubby Hill
relation country
type political territorial entity
['Scrubby Hill', 'country', {'concept': 'political territorial entity'}]
SELECT DISTINCT ( COUNT ( ?y ) AS ?f ) WHERE { resource:Scrubby_Hill property:country ?y . ?y rdf:type ontology:political_territorial_entity }
[]
Comparative Reasoning (All)
Comparative|More/Less|Single entity type
Q1190247
P355
Q4830453 Q4830453
USER
Which business enterprises contains lesser number of business enterprises as their subordinate than Mitsubishi Fuso Truck and Bus Corporation ?
(c(Q4830453),P355,c(Q4830453))
action less
action find_tuple_counts
relation P355
type Q4830453
type Q4830453
action count
action filter_type
action find
entity Q1190247
relation P355
type Q4830453
[{'concept': 'Q4830453'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ?t ( COUNT ( ?s ) AS ?r ) WHERE { ?t property:P355 ?s . ?t rdf:type ontology:Q4830453 . ?s rdf:type ontology:Q4830453 } GROUP BY ?t } . { SELECT DISTINCT ( COUNT ( ?q ) AS ?e ) WHERE { resource:Q1190247 property:P355 ?q . ?q rdf:type ontology:Q4830453 } } . FILTER ( ?r < ?e ) }
Mitsubishi Fuso Truck and Bus Corporation
action less
action find_tuple_counts
relation subsidiary
type business enterprise
type business enterprise
action count
action filter_type
action find
entity Mitsubishi Fuso Truck and Bus Corporation
relation subsidiary
type business enterprise
[{'concept': 'business enterprise'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ?t ( COUNT ( ?s ) AS ?r ) WHERE { ?t property:subsidiary ?s . ?t rdf:type ontology:business_enterprise . ?s rdf:type ontology:business_enterprise } GROUP BY ?t } . { SELECT DISTINCT ( COUNT ( ?q ) AS ?e ) WHERE { resource:Mitsubishi_Fuso_Truck_and_Bus_Corporation property:subsidiary ?q . ?q rdf:type ontology:business_enterprise } } . FILTER ( ?r < ?e ) }
[]
business enterprise business enterprise
Q43380 Q53268 Q157062
SYSTEM
CBS, Toyota, Unilever
Q7901687 Q3139309 Q727145 Q127005 Q3107966 Q1457152 Q547465 Q4785248 Q5215535 Q22122879 Q11350495 Q11228051 Q11375826 Q157062 Q1931458 Q4834524 Q908916 Q17394626 Q3571463 Q29366 Q841220 Q11322733 Q7497366 Q27231583 Q1348664 Q11551995 Q23929933 Q588786 Q11101101 Q23638508 Q43380 Q2147715 Q11645551 Q811213 Q26678 Q1552770 Q13403399 Q26868721 Q1781348 Q17219597 Q708667 Q53268 Q329426 Q11993484 Q23638518 Q11243694 Q11455891 Q11582449 Q11195603 Q26720780 Q308889 Q207983 Q13416787 Q20061301 Q17025895 Q656554 Q26702890 Q5371838 Q1663776 Q5628833 Q1602991 Q59187 Q1542175 Q4302263 Q499707 Q750644 Q1754870 Q37158 Q6079763 Q498825 Q27231258 Q928831 Q318672 Q432564 Q5209438 Q166621 Q11304809 Q11345746 Q11628893 Q7834879 Q1681145 Q5215858 Q11189379 Q22115651 Q3061479 Q1017682 Q834054 Q309084 Q5476713 Q19604369 Q5413890 Q16165708 Q482607 Q7954024 Q11225149 Q12009441 Q11547303 Q12594197 Q11318773 Q22122898 Q11507487 Q160746 Q24876211 Q822314 Q10955994 Q11283168 Q12792241 Q1479375 Q1113213 Q259011 Q16172809 Q11463109 Q1485061 Q944414 Q11350142 Q212268 Q727176 Q21757878 Q1032540
(c(Q4830453),P355,c(Q4830453))
action less
action find_tuple_counts
relation P355
type Q4830453
type Q4830453
action count
action filter_type
action find
entity Q1190247
relation P355
type Q4830453
[ANSWERS] contain lesser number of business enterprises as their subordinate than Mitsubishi Fuso Truck and Bus Corporation
[{'concept': 'Q4830453'}, 'P355', {'concept': 'Q4830453'}]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ?t ( COUNT ( ?s ) AS ?r ) WHERE { ?t property:P355 ?s . ?t rdf:type ontology:Q4830453 . ?s rdf:type ontology:Q4830453 } GROUP BY ?t } . { SELECT DISTINCT ( COUNT ( ?q ) AS ?e ) WHERE { resource:Q1190247 property:P355 ?q . ?q rdf:type ontology:Q4830453 } } . FILTER ( ?r < ?e ) }
Usaha Tegas Holmarcom Group Asia Television Georg von Holtzbrinck Publishing Group Mitsubishi Chemical Holdings Sega Sammy Holdings Zeppelin Arcapita Sumitomo Mitsui Trust Holdings RKB Mainichi Holdings Lotte Holdings KNT-CT Holdings Keihan Holdings Unilever Micro Focus International BAE Systems Inc. Grandi Stazioni Mouzenidis Group Yamato Holdings Changan Automobile Hankyu Hanshin Holdings Doutor Nichires Holdings Shine Group PFA HOLDING Rockwell International Senshu Ikeda Holdings Logstor Holding China National Petroleum Corporation The Yomiuri Shimbun Holdings ArtPeople Holding CBS Rheinisch-Westfälische Straßen- und Kleinbahnen Nomura Real Estate Holdings Bauer Group BMW GAC Group Kirin Holdings Gerda og Victor B. Strand Holding Wien Holding Tokyu Fudosan Holdings MAN Truck & Bus Toyota Danone Olav Thon Group J. Duckert Holding SMFG Card & Credit Fujifilm Holdings Sotetsu Holdings DCM Holdings J-F. Lemvigh-Müller Holding Cessna Monsanto Engie DirecTV Latin America HSBC USA Carnival Cruise Lines A.P. Møller Holding Vudu ICA AB H2O Retailing Hellmuth, Obata and Kassabaum Vauxhall Mitsubishi UFJ Financial Group CANTV BNP Paribas Scottish Aviation Stadtwerke Verkehrsgesellschaft Frankfurt am Main Starbucks Isetan Mitsukoshi Holdings Korean Broadcasting System FIH Holding Seoul Broadcasting System Abellio Coop Switzerland Daimler India Commercial Vehicles Pvt. Ltd. Mizuho Financial Group Sapporo Holdings Uny Group Holdings Seibu Holdings Transport International Holdings Statkraft Sompo Japan Nipponkoa Holdings ANA Holdings Erdogan Group Evergreen International Aviation Busscar Ônibus Enterprise Holdings Alstom 21st Century Fox Columbus Nova HSBC Bank CJ Corporation Munhwa Broadcasting Corporation WOW! J. Front Retailing Vest Buss Mainichi Newspapers Group Holdings Lotte Shopping Tsuneishi Holdings Concordia Financial Group Japan Exchange Group Nestlé FamilyMart UNY Holdings Sony Pictures Entertainment Universe International Financial Holdings Asahi Group Holdings Javni holding Ljubljana MTR Corporation SBI Holdings Motorola SK Innovation Odakyu Hakone Holdings GE Aviation McCain Foods Royal Holdings Antonov Radio and Television Slovakia Zaferan Holding ApS Canal+
CBS, Toyota and Unilever contain lesser number of business enterprises as their subordinate than Mitsubishi Fuso Truck and Bus Corporation
CBS Toyota Unilever
action less
action find_tuple_counts
relation subsidiary
type business enterprise
type business enterprise
action count
action filter_type
action find
entity Mitsubishi Fuso Truck and Bus Corporation
relation subsidiary
type business enterprise
[{'concept': 'business enterprise'}, 'subsidiary', {'concept': 'business enterprise'}]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ?t ( COUNT ( ?s ) AS ?r ) WHERE { ?t property:subsidiary ?s . ?t rdf:type ontology:business_enterprise . ?s rdf:type ontology:business_enterprise } GROUP BY ?t } . { SELECT DISTINCT ( COUNT ( ?q ) AS ?e ) WHERE { resource:Mitsubishi_Fuso_Truck_and_Bus_Corporation property:subsidiary ?q . ?q rdf:type ontology:business_enterprise } } . FILTER ( ?r < ?e ) }
[]
Logical Reasoning (All)
Logical|Intersection|Multiple_Relation
Q142 Q378181
P137 P17
Q811979
USER
Which architectural structures can be described as facility operator of Chemins de fer du Midi and are located in France ?
AND((c(Q811979),P137,Q378181), (c(Q811979),P17,Q142))
action filter_type
action intersection
action find_reverse
entity Q378181
relation P137
action find_reverse
entity Q142
relation P17
type Q811979
{'AND': [[{'concept': 'Q811979'}, 'P137', 'Q378181'], [{'concept': 'Q811979'}, 'P17', 'Q142']]}
SELECT DISTINCT ?u WHERE { ?u property:P137 resource:Q378181 . ?u property:P17 resource:Q142 . ?u rdf:type ontology:Q811979 }
France Chemins de fer du Midi
action filter_type
action intersection
action find_reverse
entity Chemins de fer du Midi
relation operator
action find_reverse
entity France
relation country
type architectural structure
{'AND': [[{'concept': 'architectural structure'}, 'operator', 'Chemins de fer du Midi'], [{'concept': 'architectural structure'}, 'country', 'France']]}
SELECT DISTINCT ?u WHERE { ?u property:operator resource:Chemins_de_fer_du_Midi . ?u property:country resource:France . ?u rdf:type ontology:architectural_structure }
[]
architectural structure
Q16508023
SYSTEM
Bordeaux-Ségur station
Q16508023
AND((c(Q811979),P137,Q378181), (c(Q811979),P17,Q142))
action filter_type
action intersection
action find_reverse
entity Q378181
relation P137
action find_reverse
entity Q142
relation P17
type Q811979
[ANSWER] can be described as facility operator of Chemins de fer du Midi and are located in France
{'AND': [[{'concept': 'Q811979'}, 'P137', 'Q378181'], [{'concept': 'Q811979'}, 'P17', 'Q142']]}
SELECT DISTINCT ?u WHERE { ?u property:P137 resource:Q378181 . ?u property:P17 resource:Q142 . ?u rdf:type ontology:Q811979 }
Bordeaux-Ségur station
Bordeaux-Ségur station can be described as facility operator of Chemins de fer du Midi and are located in France
Bordeaux-Ségur station
action filter_type
action intersection
action find_reverse
entity Chemins de fer du Midi
relation operator
action find_reverse
entity France
relation country
type architectural structure
{'AND': [[{'concept': 'architectural structure'}, 'operator', 'Chemins de fer du Midi'], [{'concept': 'architectural structure'}, 'country', 'France']]}
SELECT DISTINCT ?u WHERE { ?u property:operator resource:Chemins_de_fer_du_Midi . ?u property:country resource:France . ?u rdf:type ontology:architectural_structure }
[]
Verification (Boolean) (All)
Verification|3 entities, 2 direct, 2(direct) are query entities, subject is indirect
Q16508023 Q6902400 Q142
P17
Q15617994
USER
Is that architectural structure present in Monroe Township School District and France ?
(Q16508023,P17,Q6902400) (Q16508023,P17,Q142)
action is_in
entity Q16508023
action intersection
action find_reverse
entity Q6902400
relation P17
action find_reverse
entity Q142
relation P17
['Q16508023', 'P17', 'Q6902400'] ['Q16508023', 'P17', 'Q142']
ASK WHERE { resource:Q16508023 property:P17 resource:Q6902400 . resource:Q16508023 property:P17 resource:Q142 }
Bordeaux-Ségur station Monroe Township School District France
action is_in
entity Bordeaux-Ségur station
action intersection
action find_reverse
entity Monroe Township School District
relation country
action find_reverse
entity France
relation country
['Bordeaux-Ségur station', 'country', 'Monroe Township School District'] ['Bordeaux-Ségur station', 'country', 'France']
ASK WHERE { resource:Bordeaux-Ségur_station property:country resource:Monroe_Township_School_District . resource:Bordeaux-Ségur_station property:country resource:France }
[]
designation for an administrative territorial entity
SYSTEM
NO and YES respectively
(Q16508023,P17,Q6902400) (Q16508023,P17,Q142)
action is_in
entity Q16508023
action intersection
action find_reverse
entity Q6902400
relation P17
action find_reverse
entity Q142
relation P17
[ANSWER]
['Q16508023', 'P17', 'Q6902400'] ['Q16508023', 'P17', 'Q142']
ASK WHERE { resource:Q16508023 property:P17 resource:Q6902400 . resource:Q16508023 property:P17 resource:Q142 }
NO and YES respectively
action is_in
entity Bordeaux-Ségur station
action intersection
action find_reverse
entity Monroe Township School District
relation country
action find_reverse
entity France
relation country
['Bordeaux-Ségur station', 'country', 'Monroe Township School District'] ['Bordeaux-Ségur station', 'country', 'France']
ASK WHERE { resource:Bordeaux-Ségur_station property:country resource:Monroe_Township_School_District . resource:Bordeaux-Ségur_station property:country resource:France }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count over Atleast/ Atmost/ Approx. the same/Equal|Mult. entity type
P144
Q166142 Q166142 Q7725634
USER
How many applications do atmost 4 applications or literary works extend upon ?
(c(Q166142)|c(Q7725634),P144,c(Q166142))
action count
action atmost
action union
action find_reverse_tuple_counts
relation P144
type Q166142
type Q166142
action find_reverse_tuple_counts
relation P144
type Q166142
type Q7725634
value 4
[[{'concept': 'Q166142'}, {'concept': 'Q7725634'}], 'P144', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?q ) AS ?n ) WHERE { { SELECT DISTINCT ?q ( COUNT ( ?h ) AS ?i ) WHERE { ?h rdf:type ?f . VALUES ( ?f ) { ( ontology:Q166142 ) ( ontology:Q7725634 ) } } GROUP BY ?q } . FILTER ( ?i <= 4 ) }
action count
action atmost
action union
action find_reverse_tuple_counts
relation based on
type application
type application
action find_reverse_tuple_counts
relation based on
type application
type literary work
value 4
[[{'concept': 'application'}, {'concept': 'literary work'}], 'based on', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?q ) AS ?n ) WHERE { { SELECT DISTINCT ?q ( COUNT ( ?h ) AS ?i ) WHERE { ?h rdf:type ?f . VALUES ( ?f ) { ( ontology:application ) ( ontology:literary_work ) } } GROUP BY ?q } . FILTER ( ?i <= 4 ) }
[]
application application literary work
SYSTEM
89
Q3754244 Q791444 Q144559 Q500851 Q6582527 Q3504105 Q19844556 Q682892 Q2377 Q569624 Q860291 Q206653 Q1322480 Q20978163 Q2633480 Q2451278 Q7042103 Q951384 Q217423 Q2544146 Q2122173 Q2996015 Q1175156 Q3303799 Q1206660 Q1049783 Q843131 Q193581 Q2451096 Q11168 Q596631 Q864943 Q12395 Q804859 Q1261715 Q279744 Q935970 Q735613 Q1137949 Q791439 Q514680 Q726545 Q3024473 Q732943 Q110607 Q852563 Q1074008 Q839091 Q2566060 Q629577 Q1786006 Q214232 Q663583 Q715292 Q270431 Q866349 Q614121 Q1064350 Q1061708 Q220665 Q2880740 Q1196400 Q34852 Q1133204 Q1545458 Q337865 Q741244 Q837338 Q524267 Q220960 Q286051 Q112912 Q919857 Q845290 Q942390 Q157387 Q1152450 Q15361287 Q1182593 Q2530723 Q773196 Q71910 Q165929 Q213911 Q163628 Q651591 Q1088022 Q1608476 Q53353
(c(Q166142)|c(Q7725634),P144,c(Q166142))
action count
action atmost
action union
action find_reverse_tuple_counts
relation P144
type Q166142
type Q166142
action find_reverse_tuple_counts
relation P144
type Q166142
type Q7725634
value 4
[ANSWER]
[[{'concept': 'Q166142'}, {'concept': 'Q7725634'}], 'P144', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?q ) AS ?n ) WHERE { { SELECT DISTINCT ?q ( COUNT ( ?h ) AS ?i ) WHERE { ?h rdf:type ?f . VALUES ( ?f ) { ( ontology:Q166142 ) ( ontology:Q7725634 ) } } GROUP BY ?q } . FILTER ( ?i <= 4 ) }
Fullmetal Alchemist 3: Kami o Tsugu Shōjo Battlefield Vietnam Zak McKracken and the Alien Mindbenders Company of Heroes Metal Gear Solid Super Battleship Transport Tycoon Deluxe Kanon Civilization IV MapleStory Warcraft II: Beyond the Dark Portal Battlefield 2 Phoenix Wright: Ace Attorney uBlock Fullmetal Alchemist 2: Curse of the Crimson Elixir Fullmetal Alchemist and the Broken Angel Inazuma Eleven GO Total Annihilation Quake Ship Simulator Wing Commander Jagged Alliance 2 Max Payne Mean Streets IntelliJ IDEA Postal Super Smash Bros. Brawl Half-Life 2 BloodRayne Super Mario Bros. Dune II Sid Meier's Colonization The Legend of Zelda Baldur's Gate II: Shadows of Amn UFO: Enemy Unknown Half-Life Wakfu The Legend of Zelda: Twilight Princess Icewind Dale Battlefield 1942 Battle Isle Quake III Arena Desktop Dungeons The Legend of Zelda: Majora's Mask Clannad The Legend of Zelda: The Wind Waker Fatal Fury: King of Fighters Lucky Star Age of Chivalry Neverwinter Nights 2 Scorched Earth Final Fantasy VII Baldur's Gate Prince of Persia: The Sands of Time KOffice Dungeon Siege Planetarian: The Reverie of a Little Planet Oddworld: Abe's Oddysee Warhammer 40,000: Dawn of War Space Invaders Baldur's Gate II: Throne of Bhaal Mega Man X Age of Empires II: The Age of Kings Street Fighter II: The World Warrior Syndicate Far Cry Warcraft III: The Frozen Throne Silent Hill 3 Frogger Diablo true tears Lego Batman 2: DC Super Heroes Heroes of Might and Magic: A Strategic Quest Civilization II MediEvil Prince of Persia Fatal Fury 2 Hyrule Warriors Defender Metroid Apache Lucene Tetris StarCraft The Legend of Zelda: Ocarina of Time Counter-Strike Transport Tycoon Triangle Heart Yakuza Puella Magi Madoka Magica
89
action count
action atmost
action union
action find_reverse_tuple_counts
relation based on
type application
type application
action find_reverse_tuple_counts
relation based on
type application
type literary work
value 4
[[{'concept': 'application'}, {'concept': 'literary work'}], 'based on', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?q ) AS ?n ) WHERE { { SELECT DISTINCT ?q ( COUNT ( ?h ) AS ?i ) WHERE { ?h rdf:type ?f . VALUES ( ?f ) { ( ontology:application ) ( ontology:literary_work ) } } GROUP BY ?q } . FILTER ( ?i <= 4 ) }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Mult. entity type
P138
Q12737077 Q15617994 Q43229
USER
Which organizations are the eponym of min number of occupations or administrative territories ?
(c(Q43229),P138,c(Q12737077)|c(Q15617994))
action argmin
action union
action find_tuple_counts
relation P138
type Q43229
type Q12737077
action find_tuple_counts
relation P138
type Q43229
type Q15617994
[{'concept': 'Q43229'}, 'P138', [{'concept': 'Q12737077'}, {'concept': 'Q15617994'}]]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?p ) { SELECT DISTINCT ?j ( COUNT ( ?h ) AS ?e ) WHERE { VALUES ( ?d ) { ( ontology:Q12737077 ) ( ontology:Q15617994 ) } . ?h rdf:type ?d } GROUP BY ?j } } . FILTER ( ?y = ?p ) . { SELECT DISTINCT ?t ( COUNT ( ?i ) AS ?y ) WHERE { { ?t property:P138 ?i . ?t rdf:type ontology:Q43229 . ?i rdf:type ontology:Q12737077 } UNION { ?t property:P138 ?i . ?t rdf:type ontology:Q43229 . ?i rdf:type ontology:Q15617994 } } GROUP BY ?t } }
action argmin
action union
action find_tuple_counts
relation named after
type organization
type occupation
action find_tuple_counts
relation named after
type organization
type designation for an administrative territorial entity
[{'concept': 'organization'}, 'named after', [{'concept': 'occupation'}, {'concept': 'designation for an administrative territorial entity'}]]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?p ) { SELECT DISTINCT ?j ( COUNT ( ?h ) AS ?e ) WHERE { VALUES ( ?d ) { ( ontology:occupation ) ( ontology:designation_for_an_administrative_territorial_entity ) } . ?h rdf:type ?d } GROUP BY ?j } } . FILTER ( ?y = ?p ) . { SELECT DISTINCT ?t ( COUNT ( ?i ) AS ?y ) WHERE { { ?t property:named_after ?i . ?t rdf:type ontology:organization . ?i rdf:type ontology:occupation } UNION { ?t property:named_after ?i . ?t rdf:type ontology:organization . ?i rdf:type ontology:designation_for_an_administrative_territorial_entity } } GROUP BY ?t } }
[]
occupation designation for an administrative territorial entity organization
Q95 Q1422 Q173395
SYSTEM
Google, Juventus F.C., Cisco Systems
Q3075473 Q19988222 Q16201750 Q750124 Q788500 Q27579976 Q319347 Q19387691 Q4635928 Q126944 Q3498746 Q2360847 Q7969612 Q152051 Q483551 Q1676085 Q882355 Q24534664 Q38791 Q7551841 Q2565848 Q2616400 Q41644 Q20641985 Q19689569 Q6446756 Q3041271 Q19362817 Q6457656 Q342143 Q317886 Q5842736 Q5871472 Q180904 Q3895 Q459965 Q21012625 Q1004175 Q1194970 Q694008 Q793157 Q21820596 Q15298319 Q1852556 Q1016054 Q4752572 Q3565646 Q1065024 Q368302 Q21015626 Q4751228 Q637164 Q3567547 Q2319576 Q620238 Q1972120 Q133648 Q1074335 Q2927468 Q763402 Q17077228 Q1357028 Q1342041 Q7720416 Q1760825 Q2880788 Q2058311 Q247132 Q16238196 Q7553212 Q16985177 Q23652381 Q420843 Q27334 Q6522615 Q3285819 Q21551978 Q23445889 Q18510662 Q1147088 Q2703822 Q21335628 Q1576494 Q30873 Q2893347 Q17155757 Q24718378 Q16893694 Q6095017 Q1763170 Q1479740 Q180855 Q7756788 Q6035779 Q1105851 Q20643375 Q5039494 Q3416390 Q6304721 Q3075427 Q27832293 Q1969696 Q22084319 Q1142714 Q542511 Q82162 Q8059648 Q270223 Q2157537 Q1562826 Q1344005 Q4400804 Q18690853 Q11892170 Q4006568 Q707602 Q6733496 Q338433 Q16993773 Q12347906 Q13019092 Q12347902 Q15689509 Q1145955 Q13220673 Q7899836 Q1700277 Q3121682 Q27855500 Q7945810 Q184997 Q850262 Q7611956 Q25163815 Q2343891 Q2127171 Q900387 Q880853 Q1509011 Q428649 Q234021 Q4955939 Q76039 Q2875200 Q256290 Q1203426 Q16981855 Q1547953 Q21979753 Q5050106 Q1044630 Q2061730 Q324232 Q267313 Q65275 Q1781959 Q2378739 Q173395 Q17502722 Q18552251 Q27061534 Q95 Q6823260 Q201977 Q6817725 Q6817726 Q10993568 Q19858097 Q2098323 Q1884500 Q22807299 Q4589570 Q455484 Q143017 Q322320 Q1339044 Q20750528 Q466183 Q7249245 Q25110345 Q18330597 Q3026166 Q6969050 Q179885 Q11891929 Q590267 Q117035 Q1473446 Q7233641 Q2516775 Q27432 Q895118 Q6237561 Q826437 Q1422 Q1784995 Q41014 Q3540931 Q17100665 Q1783048 Q2621070 Q760642 Q22669992 Q483915 Q844488 Q311474 Q27415 Q2271783 Q795306 Q665721 Q909169 Q1329236 Q127305 Q1689380 Q15910326 Q1825344 Q1510971 Q3067962 Q2050362 Q7945510 Q606978 Q478825 Q154470 Q24074500 Q195208 Q6733520 Q2614396 Q663679 Q5432804 Q694218 Q680683 Q1415874 Q938773 Q1105202 Q7937037 Q600277 Q52579 Q1554299 Q7747096 Q2096963 Q638156 Q2690997 Q118967 Q2576816 Q3061374 Q838166 Q3747148 Q536656 Q654185 Q334204 Q27253840 Q2507663 Q16983750 Q929154 Q4221349 Q1413205 Q160521 Q1471792 Q12057642 Q1518042 Q18882298 Q1153595 Q2425254 Q882056 Q3044807 Q4672654 Q1321504 Q152864 Q6366816 Q5095175 Q1751979 Q6733519 Q2630674 Q1636913 Q20871763 Q6722675 Q20792399 Q7943163 Q2349075 Q18509124 Q2275355 Q21820020 Q156652 Q19824550 Q1620931 Q5015773 Q2341438 Q300323
(c(Q43229),P138,c(Q12737077)|c(Q15617994))
action argmin
action union
action find_tuple_counts
relation P138
type Q43229
type Q12737077
action find_tuple_counts
relation P138
type Q43229
type Q15617994
[ANSWERS] are the eponym of min number of occupations or administrative territories
[{'concept': 'Q43229'}, 'P138', [{'concept': 'Q12737077'}, {'concept': 'Q15617994'}]]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?p ) { SELECT DISTINCT ?j ( COUNT ( ?h ) AS ?e ) WHERE { VALUES ( ?d ) { ( ontology:Q12737077 ) ( ontology:Q15617994 ) } . ?h rdf:type ?d } GROUP BY ?j } } . FILTER ( ?y = ?p ) . { SELECT DISTINCT ?t ( COUNT ( ?i ) AS ?y ) WHERE { { ?t property:P138 ?i . ?t rdf:type ontology:Q43229 . ?i rdf:type ontology:Q12737077 } UNION { ?t property:P138 ?i . ?t rdf:type ontology:Q43229 . ?i rdf:type ontology:Q15617994 } } GROUP BY ?t } }
Fondation Jean et Jean-Pierre Giraudoux Tory Burch LLC Harry Potter Alliance Cabot Corporation Craigslist Otto von Habsburg Foundation Robert Bosch Stiftung Sankt Jacobs cemetery 3801 Limited Voith Avions Voisin Zaporizhstal Warmenhoven & Venderbos Bayer Walmart Ivchenko-Progress Wau Holland Foundation Assata's Daughters Hitler Youth Socialist Youth League Karl Liebknecht Circus Herman Renz Y Combinator Warsaw Pact Kolster Radio Corporation Kosta & Eleni Ouranis Foundation Kurt Gödel Society Voisin Karl Barth-Archiv LEMO Đuro Đaković Walter Eucken Institut Corning Inc. Fundación Salvador Seguí Museum Tinguely Adidas Caterpillar Inc. First Latem school Groupe Bull dot-com company Max Havelaar Ayn Rand Institute F. P. Journe État libre d'Orange Philip Morris International Burgtorfriedhof Ancestry.com Inc Mannerheim League for Child Welfare Hearst Brandt Barbara Bush Foundation for Family Literacy AnandTech The Baby Einstein Company Weston A. Price Foundation St. Josef-Stiftung NPO Energomash Sam's Club Internationale Bachakademie Stuttgart Momo Ohio State Buckeyes S.P. Korolev Rocket and Space Corporation Energia Rachel K Fondation Ernst Barlach Lam Research The Bruce Lee Foundation Schools of Sint-Martens-Latem Fundación de Estudios Libertarios Anselmo Lorenzo Litton Industries Oratory of Saint Philip Neri Prince Hall Freemasonry Sodak Gaming BRC Imagination Arts H. C. Ørsted's Foundation Komsomolsk-on-Amur Aircraft Production Association Bitter Automobile Leningradsky Metallichesky Zavod Manhattan Associates Francesco Paolo Michetti Foundation World Mime Organization Franz Deuticke Hoover Institution Skywalker Sound Salvatore Romano Foundation Hanns Martin Schleyer Foundation Dell Technologies Inc. MuggleNet Ernst Kaps Piano Fabrik Maria Lassnig Foundation Krylov State Research Center Ittiam Systems Ritz Crackers Federation of Western Thrace Turks in Europe Heineken International The Peter G. Peterson Foundation Rami Levy Hashikma Marketing Kazan Aircraft Production Association Vril Society Caribou Coffee Rade Končar Skopje Juergensen Marine Daniel Langlois Foundation H. Voit & Söhne Seagram Établissements aéronautiques Roger Adam St. Xavier High School Hoechst AG Wolvercote Cemetery Yrjö Jahnsson Foundation E.ON SE Brotherhood of Saints Cyril and Methodius VimpelCom Ltd. FED Solzhenitsyn Foundation Sigrid Jusélius Foundation Samaria ry Urusei Yatsura B&Q Mahatma Gandhi Foundation Friedrich Naumann Foundation Haworth Tompkins Ivo Lapenna foundation Thairath foundation Alfred Escher Foundation Burgfriedhof Bad Godesberg Cusanuswerk Vickers Urban 13 USRobotics Guy Cotten S.E. Wendelaar Bonga Stifting W. Lucy & Co. ZEIT-Stiftung Teylers Stichting Steve Biko Foundation La Reunion Cemetery Bellasi Kronprinz Rudolf-Bahn Brauerei Schwelm Ernemann KONČAR Group Project for the New American Century Robert Bosch GmbH Braintree Hudson's Bay Company Selwerderhof Knorr-Bremse Samsonite Georgian Bay Land Trust Karl Heinz Beckurts Foundation Udo-Jürgens-Stiftung Castle Harlan THX RSA Giordano Bruno Foundation Intel Security Plansee Group Nobel Foundation Kharkiv Tractor Plant Cisco Systems Dirk van den Broek Saxo Alexander Soros Foundation Google Metaswitch Zürcher Verkehrsverbund Menzies Research Centre Menzies Research Institute Victor Pinchuk Foundation James Watt & Co Plansee SE Magnitogorsk Iron and Steel Works Nicholson Cemetery The Leaky Cauldron Areva Krka Level 3 Communications Aldus Foundation " Konstantinos G. . Karamanlis " Reebok Project Pericles LeoVegas Isabel Maran John Templeton Foundation Tuxera Jacobin Saimaan kameraseura Alexander von Humboldt Foundation Der Blaue Reiter Claude Monet Foundation Post Holdings Verlag Theodor Steinkopff Bethlehem Steel Boulton and Watt John Hancock Insurance Dematic Juventus F.C. Alfred Dunhill Rickenbacker Du Londel Troupe National Froebel Foundation Poppelsdorfer Friedhof Kirov Plant August-Macke-Haus Murdoch Childrens Research Institute Nike International Bishops' Conference of Saints Cyril and Methodius Simon Wiesenthal Center Buick Esperanto Foundation Cesar Vanbiervliet B612 Foundation Real Instituto Elcano Lotus Software Finlayson Paulaner Brewery Jimmy John's Alphonse-Karr cemetery Prins Bernhard Cultuurfonds Gerda Henkel Stiftung Fedrigoni Carnegie Foundation W. Eugene Smith Memorial Fund EBSCO Industries Amstrad Messerschmitt Fundación José Manuel Lara Stanislavski and Nemirovich-Danchenko Moscow Academic Music Theatre Mahatma Gandhi National Memorial Trust Anna Lindh Memorial Fund Landis+Gyr Falstaff Brewing Corporation Krombacher Brauerei Leclanché Hanns Seidel Foundation DKNY Cochrane Collaboration Vitens-Evides International Chelyabinsk Tractor Plant LKAB Gulfstream Aerospace The Licia Albanese-Puccini Foundation School of Tervuren ZiL Davidsfonds Vyšehrad cemetery Alfred McAlpine Evellin, goldsmith Babaoshan Revolutionary Cemetery Fondazione Bruno Kessler Alfred Wegener Institute for Polar and Marine Research Willemsfonds Morgan Stanley Henry Cotton’s Pavlovo Bus Factory Helen Keller National Center Brookings Institution Cyril and Methodius (company) Church of Lippe The society of Saints Cyril and Methodius Quark, Inc. Svoboda Motor Moscow Circus on Tsvetnoy Boulevard Fundación Federico García Lorca Carnegie Endowment for International Peace Kharkiv Morozov Machine Building Design Bureau Leo Baeck Institute Wolf Foundation Accles & Shelvoke Tisza Volán Asus Kaplan Foundation Chiang Ching-kuo Foundation Radisson Hotels Mahatma Gandhi National Foundation Malyshev Factory Humboldt-Institut Lakrids by Johan Bülow A/S Macartney Embassy Old Dutch Churchyard Vroom & Dreesmann Stiftung Mercator Frank Lloyd Wright Foundation Abbaye de Créteil Franck Muller Watchland Thule Society heidi Friedhof Uemmingen Cabot Creamery Jan Campert foundation A Band Apart
Google, Juventus F.C. and Cisco Systems are the eponym of min number of occupations or administrative territories
Google Juventus F.C. Cisco Systems
action argmin
action union
action find_tuple_counts
relation named after
type organization
type occupation
action find_tuple_counts
relation named after
type organization
type designation for an administrative territorial entity
[{'concept': 'organization'}, 'named after', [{'concept': 'occupation'}, {'concept': 'designation for an administrative territorial entity'}]]
SELECT DISTINCT ?t WHERE { { SELECT DISTINCT ( MIN ( ?e ) AS ?p ) { SELECT DISTINCT ?j ( COUNT ( ?h ) AS ?e ) WHERE { VALUES ( ?d ) { ( ontology:occupation ) ( ontology:designation_for_an_administrative_territorial_entity ) } . ?h rdf:type ?d } GROUP BY ?j } } . FILTER ( ?y = ?p ) . { SELECT DISTINCT ?t ( COUNT ( ?i ) AS ?y ) WHERE { { ?t property:named_after ?i . ?t rdf:type ontology:organization . ?i rdf:type ontology:occupation } UNION { ?t property:named_after ?i . ?t rdf:type ontology:organization . ?i rdf:type ontology:designation_for_an_administrative_territorial_entity } } GROUP BY ?t } }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Mult. entity type
P115
Q811979 Q618123 Q476028
USER
Which architectural structures are the home venues of max number of geographical objects or association football clubs ?
(c(Q618123)|c(Q476028),P115,c(Q811979))
action argmax
action union
action find_reverse_tuple_counts
relation P115
type Q811979
type Q618123
action find_reverse_tuple_counts
relation P115
type Q811979
type Q476028
[[{'concept': 'Q618123'}, {'concept': 'Q476028'}], 'P115', {'concept': 'Q811979'}]
SELECT DISTINCT ?s WHERE { { SELECT DISTINCT ( MAX ( ?f ) AS ?x ) { SELECT DISTINCT ( COUNT ( ?g ) AS ?f ) ?a WHERE { VALUES ( ?j ) { ( ontology:Q476028 ) ( ontology:Q618123 ) } . ?g rdf:type ?j } GROUP BY ?a } } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?o ) ?s WHERE { { ?c property:P115 ?s . ?s rdf:type ontology:Q811979 . ?c rdf:type ontology:Q618123 } UNION { ?c property:P115 ?s . ?s rdf:type ontology:Q811979 . ?c rdf:type ontology:Q476028 } } GROUP BY ?s } . FILTER ( ?o = ?x ) }
action argmax
action union
action find_reverse_tuple_counts
relation home venue
type architectural structure
type geographical object
action find_reverse_tuple_counts
relation home venue
type architectural structure
type association football club
[[{'concept': 'geographical object'}, {'concept': 'association football club'}], 'home venue', {'concept': 'architectural structure'}]
SELECT DISTINCT ?s WHERE { { SELECT DISTINCT ( MAX ( ?f ) AS ?x ) { SELECT DISTINCT ( COUNT ( ?g ) AS ?f ) ?a WHERE { VALUES ( ?j ) { ( ontology:association_football_club ) ( ontology:geographical_object ) } . ?g rdf:type ?j } GROUP BY ?a } } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?o ) ?s WHERE { { ?c property:home_venue ?s . ?s rdf:type ontology:architectural_structure . ?c rdf:type ontology:geographical_object } UNION { ?c property:home_venue ?s . ?s rdf:type ontology:architectural_structure . ?c rdf:type ontology:association_football_club } } GROUP BY ?s } . FILTER ( ?o = ?x ) }
[]
architectural structure geographical object association football club
Q1371953 Q1955250 Q5643281
SYSTEM
Thialf, Sportcomplex De Greiden, Halmstad Arena
Q5643281 Q1371953 Q7389400 Q18332464 Q7919452 Q4430671 Q5175058 Q8082894 Q1955250 Q18335375
(c(Q618123)|c(Q476028),P115,c(Q811979))
action argmax
action union
action find_reverse_tuple_counts
relation P115
type Q811979
type Q618123
action find_reverse_tuple_counts
relation P115
type Q811979
type Q476028
[ANSWERS] are the home venues of max number of geographical objects or association football clubs
[[{'concept': 'Q618123'}, {'concept': 'Q476028'}], 'P115', {'concept': 'Q811979'}]
SELECT DISTINCT ?s WHERE { { SELECT DISTINCT ( MAX ( ?f ) AS ?x ) { SELECT DISTINCT ( COUNT ( ?g ) AS ?f ) ?a WHERE { VALUES ( ?j ) { ( ontology:Q476028 ) ( ontology:Q618123 ) } . ?g rdf:type ?j } GROUP BY ?a } } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?o ) ?s WHERE { { ?c property:P115 ?s . ?s rdf:type ontology:Q811979 . ?c rdf:type ontology:Q618123 } UNION { ?c property:P115 ?s . ?s rdf:type ontology:Q811979 . ?c rdf:type ontology:Q476028 } } GROUP BY ?s } . FILTER ( ?o = ?x ) }
Halmstad Arena Thialf SC Šumice Sapa Arena Velódromo Paulistano Sparbanken Lidköping Arena Costas Papaellinas Arena Štvanice Stadium Sportcomplex De Greiden Östersund Arena
Thialf, Sportcomplex De Greiden and Halmstad Arena are the home venues of max number of geographical objects or association football clubs
Thialf Sportcomplex De Greiden Halmstad Arena
action argmax
action union
action find_reverse_tuple_counts
relation home venue
type architectural structure
type geographical object
action find_reverse_tuple_counts
relation home venue
type architectural structure
type association football club
[[{'concept': 'geographical object'}, {'concept': 'association football club'}], 'home venue', {'concept': 'architectural structure'}]
SELECT DISTINCT ?s WHERE { { SELECT DISTINCT ( MAX ( ?f ) AS ?x ) { SELECT DISTINCT ( COUNT ( ?g ) AS ?f ) ?a WHERE { VALUES ( ?j ) { ( ontology:association_football_club ) ( ontology:geographical_object ) } . ?g rdf:type ?j } GROUP BY ?a } } . { SELECT DISTINCT ( COUNT ( ?c ) AS ?o ) ?s WHERE { { ?c property:home_venue ?s . ?s rdf:type ontology:architectural_structure . ?c rdf:type ontology:geographical_object } UNION { ?c property:home_venue ?s . ?s rdf:type ontology:architectural_structure . ?c rdf:type ontology:association_football_club } } GROUP BY ?s } . FILTER ( ?o = ?x ) }
[]