Simple Question (Direct)
Simple Question
Q3853754
P161
Q502895
USER
Who starred in Medical Center ?
(Q3853754,P161,c(Q502895))
action filter_type
action find
entity Q3853754
relation P161
type Q502895
['Q3853754', 'P161', {'concept': 'Q502895'}]
SELECT DISTINCT ?h WHERE { resource:Q3853754 property:P161 ?h . ?h rdf:type ontology:Q502895 }
Medical Center
action filter_type
action find
entity Medical Center
relation cast member
type common name
['Medical Center', 'cast member', {'concept': 'common name'}]
SELECT DISTINCT ?h WHERE { resource:Medical_Center property:cast_member ?h . ?h rdf:type ontology:common_name }
[]
common name
Q969844 Q1287406 Q2640582
SYSTEM
Chad Everett, James Daly, Audrey Totter
Q969844 Q1287406 Q2640582
(Q3853754,P161,c(Q502895))
action filter_type
action find
entity Q3853754
relation P161
type Q502895
[ANSWERS] starred in Medical Center
['Q3853754', 'P161', {'concept': 'Q502895'}]
SELECT DISTINCT ?h WHERE { resource:Q3853754 property:P161 ?h . ?h rdf:type ontology:Q502895 }
Chad Everett James Daly Audrey Totter
Chad Everett, James Daly and Audrey Totter starred in Medical Center
Chad Everett James Daly Audrey Totter
action filter_type
action find
entity Medical Center
relation cast member
type common name
['Medical Center', 'cast member', {'concept': 'common name'}]
SELECT DISTINCT ?h WHERE { resource:Medical_Center property:cast_member ?h . ?h rdf:type ontology:common_name }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q3853754
P449
Q4830453
USER
Where was Medical Center originally aired ?
(Q3853754,P449,c(Q4830453))
action filter_type
action find
entity Q3853754
relation P449
type Q4830453
['Q3853754', 'P449', {'concept': 'Q4830453'}]
SELECT DISTINCT ?c WHERE { resource:Q3853754 property:P449 ?c . ?c rdf:type ontology:Q4830453 }
Medical Center
action filter_type
action find
entity Medical Center
relation original network
type business enterprise
['Medical Center', 'original network', {'concept': 'business enterprise'}]
SELECT DISTINCT ?c WHERE { resource:Medical_Center property:original_network ?c . ?c rdf:type ontology:business_enterprise }
[]
business enterprise
Q43380
SYSTEM
CBS
Q43380
(Q3853754,P449,c(Q4830453))
action filter_type
action find
entity Q3853754
relation P449
type Q4830453
Originally Medical Center was aired on [ANSWER]
['Q3853754', 'P449', {'concept': 'Q4830453'}]
SELECT DISTINCT ?c WHERE { resource:Q3853754 property:P449 ?c . ?c rdf:type ontology:Q4830453 }
CBS
Originally Medical Center was aired on CBS
CBS
action filter_type
action find
entity Medical Center
relation original network
type business enterprise
['Medical Center', 'original network', {'concept': 'business enterprise'}]
SELECT DISTINCT ?c WHERE { resource:Medical_Center property:original_network ?c . ?c rdf:type ontology:business_enterprise }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q43380
P272
Q15980953
USER
Which fiction series was released from the production company named that business enterprise ?
(c(Q15980953),P272,Q43380)
action filter_type
action find_reverse
entity Q43380
relation P272
type Q15980953
[{'concept': 'Q15980953'}, 'P272', 'Q43380']
SELECT DISTINCT ?r WHERE { ?r property:P272 resource:Q43380 . ?r rdf:type ontology:Q15980953 }
CBS
action filter_type
action find_reverse
entity CBS
relation production company
type fiction series
[{'concept': 'fiction series'}, 'production company', 'CBS']
SELECT DISTINCT ?r WHERE { ?r property:production_company resource:CBS . ?r rdf:type ontology:fiction_series }
[]
fiction series
Q4900049
SYSTEM
Beyond Tomorrow
Q4900049
(c(Q15980953),P272,Q43380)
action filter_type
action find_reverse
entity Q43380
relation P272
type Q15980953
[ANSWER] was released from the production company named that business enterprise
[{'concept': 'Q15980953'}, 'P272', 'Q43380']
SELECT DISTINCT ?r WHERE { ?r property:P272 resource:Q43380 . ?r rdf:type ontology:Q15980953 }
Beyond Tomorrow
Beyond Tomorrow was released from the production company named that business enterprise
Beyond Tomorrow
action filter_type
action find_reverse
entity CBS
relation production company
type fiction series
[{'concept': 'fiction series'}, 'production company', 'CBS']
SELECT DISTINCT ?r WHERE { ?r property:production_company resource:CBS . ?r rdf:type ontology:fiction_series }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type
Q805807
P608
Q1656682 Q33506 Q502895
USER
Which people were displayed at approximately the same number of events and museums as Balto ?
(c(Q502895),P608,c(Q1656682)|c(Q33506))
action approx
action union
action find_tuple_counts
relation P608
type Q502895
type Q1656682
action find_tuple_counts
relation P608
type Q502895
type Q33506
action count
action filter_multi_types
action find
entity Q805807
relation P608
type Q1656682
type Q33506
[{'concept': 'Q502895'}, 'P608', [{'concept': 'Q1656682'}, {'concept': 'Q33506'}]]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?g ) AS ?p ) ?l WHERE { ?g rdf:type ?f . VALUES ( ?f ) { ( ontology:Q1656682 ) ( ontology:Q33506 ) } } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?x ) WHERE { resource:Q805807 property:P608 ?u . { { ?u rdf:type ontology:Q33506 } UNION { ?u rdf:type ontology:Q1656682 } } } } . FILTER ( ?p = ?x ) }
Balto
action approx
action union
action find_tuple_counts
relation exhibition history
type common name
type event
action find_tuple_counts
relation exhibition history
type common name
type museum
action count
action filter_multi_types
action find
entity Balto
relation exhibition history
type event
type museum
[{'concept': 'common name'}, 'exhibition history', [{'concept': 'event'}, {'concept': 'museum'}]]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?g ) AS ?p ) ?l WHERE { ?g rdf:type ?f . VALUES ( ?f ) { ( ontology:event ) ( ontology:museum ) } } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?x ) WHERE { resource:Balto property:exhibition_history ?u . { { ?u rdf:type ontology:museum } UNION { ?u rdf:type ontology:event } } } } . FILTER ( ?p = ?x ) }
[]
event museum common name
Q1964408 Q15527965 Q55192
SYSTEM
Nan Hoover, Margaretha Roosenboom, Gertrude Abercrombie
Q70006 Q17314881 Q17455385 Q15734263 Q15734265 Q6196481 Q7649008 Q16858002 Q15991813 Q16062545 Q5671224 Q17625628 Q16005428 Q27505608 Q5248733 Q2824894 Q1964408 Q15734237 Q2965423 Q6687160 Q22815085 Q5375139 Q9015308 Q805807 Q15527965 Q15873898 Q55192
(c(Q502895),P608,c(Q1656682)|c(Q33506))
action approx
action union
action find_tuple_counts
relation P608
type Q502895
type Q1656682
action find_tuple_counts
relation P608
type Q502895
type Q33506
action count
action filter_multi_types
action find
entity Q805807
relation P608
type Q1656682
type Q33506
[ANSWERS] were displayed at approximately the same number of events and museums as Balto
[{'concept': 'Q502895'}, 'P608', [{'concept': 'Q1656682'}, {'concept': 'Q33506'}]]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?g ) AS ?p ) ?l WHERE { ?g rdf:type ?f . VALUES ( ?f ) { ( ontology:Q1656682 ) ( ontology:Q33506 ) } } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?x ) WHERE { resource:Q805807 property:P608 ?u . { { ?u rdf:type ontology:Q33506 } UNION { ?u rdf:type ontology:Q1656682 } } } } . FILTER ( ?p = ?x ) }
Lotte Jacobi René Izaure Jerry Cooke Johanna Bleuland van Oordt Adri Bleuland van Oordt Jim Love Susie Bootja Bootja Napaltjarri Anne Mee Judie Bamber Alice Havers Pablo Borges Delgado Deborah De Robertis Andrea Bowers Wolfgang Sellinger Manuel Ocampo Adolphe Péterelle Nan Hoover Tony van Alphen Christian Lhopital Louis Ferstadt Georges Violet Ena Swansea Juan Carlos Alom Balto Margaretha Roosenboom Chrisje van der Willigen Gertrude Abercrombie
Nan Hoover, Margaretha Roosenboom and Gertrude Abercrombie were displayed at approximately the same number of events and museums as Balto
Nan Hoover Margaretha Roosenboom Gertrude Abercrombie
action approx
action union
action find_tuple_counts
relation exhibition history
type common name
type event
action find_tuple_counts
relation exhibition history
type common name
type museum
action count
action filter_multi_types
action find
entity Balto
relation exhibition history
type event
type museum
[{'concept': 'common name'}, 'exhibition history', [{'concept': 'event'}, {'concept': 'museum'}]]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?g ) AS ?p ) ?l WHERE { ?g rdf:type ?f . VALUES ( ?f ) { ( ontology:event ) ( ontology:museum ) } } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?u ) AS ?x ) WHERE { resource:Balto property:exhibition_history ?u . { { ?u rdf:type ontology:museum } UNION { ?u rdf:type ontology:event } } } } . FILTER ( ?p = ?x ) }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type|Incomplete
Q5040332
P608
Q1656682 Q33506 Q502895
USER
And what about Carl Holty?
(c(Q502895),P608,c(Q1656682)|c(Q33506))
action approx
action union
action find_tuple_counts
relation P608
type Q502895
type Q1656682
action find_tuple_counts
relation P608
type Q502895
type Q33506
action count
action filter_multi_types
action find
entity Q5040332
relation P608
type Q1656682
type Q33506
[{'concept': 'Q502895'}, 'P608', [{'concept': 'Q1656682'}, {'concept': 'Q33506'}]]
SELECT DISTINCT ?b WHERE { { SELECT DISTINCT ?b ( COUNT ( ?z ) AS ?c ) WHERE { ?z rdf:type ?s . VALUES ( ?s ) { ( ontology:Q1656682 ) ( ontology:Q33506 ) } } GROUP BY ?b } . FILTER ( ?c = ?u ) . { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) WHERE { { { ?h rdf:type ontology:Q1656682 } UNION { ?h rdf:type ontology:Q33506 } } . resource:Q5040332 property:P608 ?h } } }
Carl Holty
action approx
action union
action find_tuple_counts
relation exhibition history
type common name
type event
action find_tuple_counts
relation exhibition history
type common name
type museum
action count
action filter_multi_types
action find
entity Carl Holty
relation exhibition history
type event
type museum
[{'concept': 'common name'}, 'exhibition history', [{'concept': 'event'}, {'concept': 'museum'}]]
SELECT DISTINCT ?b WHERE { { SELECT DISTINCT ?b ( COUNT ( ?z ) AS ?c ) WHERE { ?z rdf:type ?s . VALUES ( ?s ) { ( ontology:event ) ( ontology:museum ) } } GROUP BY ?b } . FILTER ( ?c = ?u ) . { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) WHERE { { { ?h rdf:type ontology:event } UNION { ?h rdf:type ontology:museum } } . resource:Carl_Holty property:exhibition_history ?h } } }
[]
event museum common name
Q5040332 Q4945678 Q4648360
SYSTEM
Carl Holty, Martha Edelheit, A. S. Baylinson
Q4945678 Q16004451 Q4648360 Q6990118 Q5040332
(c(Q502895),P608,c(Q1656682)|c(Q33506))
action approx
action union
action find_tuple_counts
relation P608
type Q502895
type Q1656682
action find_tuple_counts
relation P608
type Q502895
type Q33506
action count
action filter_multi_types
action find
entity Q5040332
relation P608
type Q1656682
type Q33506
[ANSWERS]
[{'concept': 'Q502895'}, 'P608', [{'concept': 'Q1656682'}, {'concept': 'Q33506'}]]
SELECT DISTINCT ?b WHERE { { SELECT DISTINCT ?b ( COUNT ( ?z ) AS ?c ) WHERE { ?z rdf:type ?s . VALUES ( ?s ) { ( ontology:Q1656682 ) ( ontology:Q33506 ) } } GROUP BY ?b } . FILTER ( ?c = ?u ) . { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) WHERE { { { ?h rdf:type ontology:Q1656682 } UNION { ?h rdf:type ontology:Q33506 } } . resource:Q5040332 property:P608 ?h } } }
Martha Edelheit Jennifer Bolande A. S. Baylinson Nellie Mae Rowe Carl Holty
Carl Holty Martha Edelheit A. S. Baylinson
action approx
action union
action find_tuple_counts
relation exhibition history
type common name
type event
action find_tuple_counts
relation exhibition history
type common name
type museum
action count
action filter_multi_types
action find
entity Carl Holty
relation exhibition history
type event
type museum
[{'concept': 'common name'}, 'exhibition history', [{'concept': 'event'}, {'concept': 'museum'}]]
SELECT DISTINCT ?b WHERE { { SELECT DISTINCT ?b ( COUNT ( ?z ) AS ?c ) WHERE { ?z rdf:type ?s . VALUES ( ?s ) { ( ontology:event ) ( ontology:museum ) } } GROUP BY ?b } . FILTER ( ?c = ?u ) . { SELECT DISTINCT ( COUNT ( ?h ) AS ?u ) WHERE { { { ?h rdf:type ontology:event } UNION { ?h rdf:type ontology:museum } } . resource:Carl_Holty property:exhibition_history ?h } } }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Logical operators
Q5040332
P108
Q163740 Q3914
USER
How many nonprofit organizations or schools are the employers of Carl Holty ?
(Q5040332,P108,c(Q163740)) (Q5040332,P108,c(Q3914))
action count
action union
action filter_type
action find
entity Q5040332
relation P108
type Q163740
action filter_type
action find
entity Q5040332
relation P108
type Q3914
['Q5040332', 'P108', {'concept': 'Q163740'}] ['Q5040332', 'P108', {'concept': 'Q3914'}]
SELECT DISTINCT ( COUNT ( ?s ) AS ?j ) WHERE { { resource:Q5040332 property:P108 ?s . ?s rdf:type ontology:Q163740 } UNION { resource:Q5040332 property:P108 ?s . ?s rdf:type ontology:Q3914 } }
Carl Holty
action count
action union
action filter_type
action find
entity Carl Holty
relation employer
type nonprofit organization
action filter_type
action find
entity Carl Holty
relation employer
type school
['Carl Holty', 'employer', {'concept': 'nonprofit organization'}] ['Carl Holty', 'employer', {'concept': 'school'}]
SELECT DISTINCT ( COUNT ( ?s ) AS ?j ) WHERE { { resource:Carl_Holty property:employer ?s . ?s rdf:type ontology:nonprofit_organization } UNION { resource:Carl_Holty property:employer ?s . ?s rdf:type ontology:school } }
[]
nonprofit organization school
SYSTEM
2
Q777403 Q705737
(Q5040332,P108,c(Q163740)) (Q5040332,P108,c(Q3914))
action count
action union
action filter_type
action find
entity Q5040332
relation P108
type Q163740
action filter_type
action find
entity Q5040332
relation P108
type Q3914
[ANSWER]
['Q5040332', 'P108', {'concept': 'Q163740'}] ['Q5040332', 'P108', {'concept': 'Q3914'}]
SELECT DISTINCT ( COUNT ( ?s ) AS ?j ) WHERE { { resource:Q5040332 property:P108 ?s . ?s rdf:type ontology:Q163740 } UNION { resource:Q5040332 property:P108 ?s . ?s rdf:type ontology:Q3914 } }
Washington University in St. Louis Art Students League of New York
2
action count
action union
action filter_type
action find
entity Carl Holty
relation employer
type nonprofit organization
action filter_type
action find
entity Carl Holty
relation employer
type school
['Carl Holty', 'employer', {'concept': 'nonprofit organization'}] ['Carl Holty', 'employer', {'concept': 'school'}]
SELECT DISTINCT ( COUNT ( ?s ) AS ?j ) WHERE { { resource:Carl_Holty property:employer ?s . ?s rdf:type ontology:nonprofit_organization } UNION { resource:Carl_Holty property:employer ?s . ?s rdf:type ontology:school } }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type
Q202577
P144
Q15416 Q15961987 Q15850590
USER
Which television programs are approximately the same number of television genres and theatrical genres adapted from as Till Death Us Do Part ?
(c(Q15961987)|c(Q15850590),P144,c(Q15416))
action approx
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15961987
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
action count
action filter_multi_types
action find_reverse
entity Q202577
relation P144
type Q15961987
type Q15850590
[[{'concept': 'Q15961987'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) ?o WHERE { VALUES ( ?p ) { ( ontology:Q15961987 ) ( ontology:Q15850590 ) } . ?z rdf:type ?p } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?d ) AS ?c ) WHERE { ?d property:P144 resource:Q202577 . { { ?d rdf:type ontology:Q15961987 } UNION { ?d rdf:type ontology:Q15850590 } } } } . FILTER ( ?w = ?c ) }
Till Death Us Do Part
action approx
action union
action find_reverse_tuple_counts
relation based on
type television program
type television genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
action count
action filter_multi_types
action find_reverse
entity Till Death Us Do Part
relation based on
type television genre
type theatrical genre
[[{'concept': 'television genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) ?o WHERE { VALUES ( ?p ) { ( ontology:television_genre ) ( ontology:theatrical_genre ) } . ?z rdf:type ?p } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?d ) AS ?c ) WHERE { ?d property:based_on resource:Till_Death_Us_Do_Part . { { ?d rdf:type ontology:television_genre } UNION { ?d rdf:type ontology:theatrical_genre } } } } . FILTER ( ?w = ?c ) }
[]
television program television genre theatrical genre
Q23572 Q7103920 Q83071
SYSTEM
Game of Thrones, Orphan Black, Downton Abbey
Q201358 Q4347124 Q1193168 Q1887148 Q16070164 Q1372163 Q2613769 Q3281746 Q5785110 Q2085782 Q3234798 Q732383 Q1247770 Q4427572 Q715723 Q1166225 Q322015 Q26693418 Q11274015 Q2318552 Q11160398 Q6682512 Q120300 Q464123 Q13923 Q697135 Q1072839 Q387943 Q4384432 Q1031065 Q23605 Q139849 Q17091414 Q1368978 Q611100 Q1248747 Q1077 Q1190630 Q811225 Q1192644 Q11622 Q23831 Q212156 Q83071 Q4300886 Q2700478 Q5554642 Q755975 Q23572 Q17104814 Q812805 Q1249333 Q698301 Q1171033 Q7039588 Q130615 Q655271 Q24156458 Q1054760 Q978011 Q2690883 Q451399 Q18571935 Q2533572 Q369111 Q2298323 Q732063 Q166845 Q2095183 Q155629 Q7512111 Q506074 Q10292622 Q921889 Q214107 Q1264983 Q92096 Q1247907 Q189411 Q702061 Q1247268 Q6422347 Q45717 Q974857 Q6011000 Q3962025 Q649097 Q776608 Q1849170 Q1152081 Q207746 Q1571849 Q4543361 Q1286698 Q4846058 Q23829 Q18608849 Q3853767 Q3527986 Q638590 Q77522 Q13419757 Q3052933 Q1141930 Q1278637 Q2022612 Q280154 Q11275379 Q2553745 Q3234199 Q922713 Q1193499 Q217246 Q7336117 Q461100 Q1982608 Q617274 Q1193889 Q7737672 Q2072832 Q465616 Q1247201 Q1625113 Q390120 Q679623 Q902253 Q2077112 Q586491 Q4982200 Q488652 Q2265954 Q1044635 Q1138953 Q1229047 Q2085 Q3273305 Q245996 Q773202 Q6407502 Q31426 Q33162 Q183513 Q1156862 Q635933 Q1156866 Q214016 Q1211796 Q1894972 Q162371 Q774834 Q2313956 Q174390 Q3555437 Q2518713 Q152178 Q2634204 Q7711682 Q634199 Q933189 Q264198 Q990842 Q1623411 Q1400775 Q559321 Q375062 Q779048 Q714753 Q1312683 Q244511 Q108774 Q617251 Q451943 Q13979 Q203707 Q5990513 Q2293964 Q1203502 Q3784600 Q18469946 Q3818118 Q7103920 Q591029 Q2744 Q4529 Q1193356 Q23623 Q208647 Q4183763 Q1190971 Q344081 Q34316 Q304290 Q2367132 Q182056 Q1768525 Q956446 Q156155 Q168708 Q3234630 Q1247495 Q1573292 Q1080682 Q1156849 Q16756 Q202577 Q7497756 Q7340827 Q126631 Q1145002 Q824379 Q366375 Q700127 Q192015 Q1247567 Q192259 Q828520 Q20655866 Q611745 Q56194 Q7721796 Q742103 Q8963139 Q1156853 Q2985293 Q599309 Q482482 Q217250 Q1215573 Q53110 Q189350 Q5291435 Q1193512 Q16290 Q1991960 Q250767 Q232737 Q752365 Q137034 Q5161696 Q1055984 Q1041541 Q701189 Q536137 Q3311904
(c(Q15961987)|c(Q15850590),P144,c(Q15416))
action approx
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15961987
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
action count
action filter_multi_types
action find_reverse
entity Q202577
relation P144
type Q15961987
type Q15850590
[ANSWERS] are approximately the same number of television genres and theatrical genres adapted from as Till Death Us Do Part
[[{'concept': 'Q15961987'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) ?o WHERE { VALUES ( ?p ) { ( ontology:Q15961987 ) ( ontology:Q15850590 ) } . ?z rdf:type ?p } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?d ) AS ?c ) WHERE { ?d property:P144 resource:Q202577 . { { ?d rdf:type ontology:Q15961987 } UNION { ?d rdf:type ontology:Q15850590 } } } } . FILTER ( ?w = ?c ) }
The Flintstones Porridge The Equalizer Unsolved Mysteries Cordon Kamen Rider Wizard The Famous Jett Jackson Ti lascio una canzone Contra Las Cuerdas Prisoners of War The Life and Loves of a She-Devil Yes Minister Peter Gunn Soldier Urusei Yatsura Dark Shadows Fifteen to One The Way to Dusty Death Dancing on Ice The Rocky and Bullwinkle Show Z for Zachariah Los Beverly de Peralvillo Crayon Shin-chan The A-Team The Grim Adventures of Billy & Mandy Bayside Shakedown Doc Martin Tiny Toon Adventures Traffik Underdog Shameless The Suite Life on Deck Nearest and Dearest Liar Game Da Ali G Show Steptoe and Son Star Trek: The Original Series Chōriki Sentai Ohranger Farmer Wants a Wife Kaizoku Sentai Gokaiger Firefly The Office Angel Downton Abbey I Am a Singer Caméra Café Getting On Survivor Game of Thrones series 12 of Strictly Come Dancing BeTipul The Quatermass Experiment Voltron The Burning Bed Sabri Maranan H₂O: Just Add Water Top Cat Maniac Super Sentai The Inbetweeners Real Humans Edge of Darkness The Big O Go Ask Alice Mission: Impossible Top Chef Cheers Maverick Fingersmith Sesame Street Sightings Family Feud Guerra dos Sexos Johnny Tsunami DuckTales The Man from U.N.C.L.E. Fort Boyard My Favorite Martian CSI: Miami Little Lord Fauntleroy Get Smart Knightmare You're Beautiful Police Squad! In Time with You Sirens Física o Química George and Mildred Reno 911! Tensou Sentai Goseiger Ben 10 Halloweentown The Magicians QI Aquí no hay quien viva The Office Angry Birds Stella The Returned Ti Ti Ti Those Who Kill Winx Club Secret Story Antiques Roadshow Juken Sentai Gekiranger The Wild Wild West Juukou B-Fighter All That Hagure Keiji: Junjōha Fat Albert and the Cosby Kids Hi-5 Whose Line Is It Anyway? Kamen Rider Black RX The Suite Life of Zack & Cody Rising Damp The Restless Years Kamen Rider Charlie's Angels Samurai Sentai Shinkenger The Great British Bake Off Climax! Jackass Batman Rendezvous with Death Torchwood Hyakujuu Sentai Gaoranger Long Way Down SWAT Kats: The Radical Squadron Denji Sentai Megaranger Bubble Gang 49 Days Man About the House Bewitched Kyōryū Sentai Zyuranger Teacher's Pet Twin Peaks B-Fighter Kabuto Three's Company Yo soy Betty, la fea Killer Karaoke America's Next Top Model Top Gear Buffy the Vampire Slayer Tokusou Sentai Dekaranger The Batman Seijuu Sentai Gingaman 21 Jump Street The Bridge Mystery Science Theater 3000 Charmed Toen Was Geluk Heel Gewoon Twelve Angry Men State of Play Anything Goes Don't Forget Your Toothbrush Glee Un gars, une fille The $1,000,000 Chance of a Lifetime Bottom The World of David the Gnome CSI Hallo K3 Who's the Boss? Trailer Park Boys Miami Vice Engine Sentai Go-onger Dead Like Me The Prisoner Nitro Circus Twitches Star Trek: Deep Space Nine Zyuden Sentai Kyoryuger Land of the Lost Saturday Night Live Kim Possible If I Ruled the World RIS Delitti Imperfetti Mahou Sentai Magiranger Hell's Kitchen Vai Que Cola The Yogi Bear Show Orphan Black Ninpuu Sentai Hurricaneger The X-Files Veronica Mars Bakuryū Sentai Abaranger Queer as Folk Married... with Children Super Robot Mach Baron Mirai Sentai Timeranger Recess Doctor Who Rugrats Battlestar Galactica Inuyasha Have I Got News for You The Killing Alarm für Cobra 11 – Die Autobahnpolizei Dallas The Bund Wonder Woman The League of Gentlemen Decalogue II Kyuukyuu Sentai GoGoFive Modern Family Till Death Us Do Part Shinsengumi Keppuroku Robbery Under Arms Hannah Montana The Osbournes Strangers with Candy Good Luck Charlie Science Ninja Team Gatchaman Yu-Gi-Oh! Car 54, Where Are You? CSI: NY Hercules: The Legendary Journeys Ashura no Gotoku Count Duckula 24 The Cay The Twilight Zone Furor Gekisou Sentai Carranger Who Do You Think You Are? Tenchi Muyo! K-On! Camp Rock The Proud Family High School Musical 30 Rock Don't Be Afraid of the Dark Kamen Rider V3 Star Trek: The Next Generation George of the Jungle The Brady Bunch The Walking Dead Mad About You The Fugitive Connections House of Cards Yama Onna Kabe Onna Kindaichi Case Files Lost in Space Ana y los 7
Game of Thrones, Orphan Black and Downton Abbey are approximately the same number of television genres and theatrical genres adapted from as Till Death Us Do Part
Game of Thrones Orphan Black Downton Abbey
action approx
action union
action find_reverse_tuple_counts
relation based on
type television program
type television genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
action count
action filter_multi_types
action find_reverse
entity Till Death Us Do Part
relation based on
type television genre
type theatrical genre
[[{'concept': 'television genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ( COUNT ( ?z ) AS ?w ) ?o WHERE { VALUES ( ?p ) { ( ontology:television_genre ) ( ontology:theatrical_genre ) } . ?z rdf:type ?p } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?d ) AS ?c ) WHERE { ?d property:based_on resource:Till_Death_Us_Do_Part . { { ?d rdf:type ontology:television_genre } UNION { ?d rdf:type ontology:theatrical_genre } } } } . FILTER ( ?w = ?c ) }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type|Incomplete
Q2298323
P144
Q15416 Q15961987 Q15850590
USER
And how about Top Chef?
(c(Q15961987)|c(Q15850590),P144,c(Q15416))
action approx
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15961987
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
action count
action filter_multi_types
action find_reverse
entity Q2298323
relation P144
type Q15961987
type Q15850590
[[{'concept': 'Q15961987'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ?o ( COUNT ( ?t ) AS ?r ) WHERE { VALUES ( ?l ) { ( ontology:Q15961987 ) ( ontology:Q15850590 ) } . ?t rdf:type ?l } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?f ) AS ?g ) WHERE { ?f property:P144 resource:Q2298323 . { { ?f rdf:type ontology:Q15850590 } UNION { ?f rdf:type ontology:Q15961987 } } } } . FILTER ( ?r = ?g ) }
Top Chef
action approx
action union
action find_reverse_tuple_counts
relation based on
type television program
type television genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
action count
action filter_multi_types
action find_reverse
entity Top Chef
relation based on
type television genre
type theatrical genre
[[{'concept': 'television genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ?o ( COUNT ( ?t ) AS ?r ) WHERE { VALUES ( ?l ) { ( ontology:television_genre ) ( ontology:theatrical_genre ) } . ?t rdf:type ?l } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?f ) AS ?g ) WHERE { ?f property:based_on resource:Top_Chef . { { ?f rdf:type ontology:theatrical_genre } UNION { ?f rdf:type ontology:television_genre } } } } . FILTER ( ?r = ?g ) }
[]
television program television genre theatrical genre
Q23572 Q7103920 Q83071
SYSTEM
Game of Thrones, Orphan Black, Downton Abbey
Q201358 Q4347124 Q1193168 Q1887148 Q16070164 Q1372163 Q2613769 Q3281746 Q5785110 Q2085782 Q3234798 Q732383 Q1247770 Q4427572 Q715723 Q1166225 Q322015 Q26693418 Q11274015 Q2318552 Q11160398 Q6682512 Q120300 Q464123 Q13923 Q697135 Q1072839 Q387943 Q4384432 Q1031065 Q23605 Q139849 Q17091414 Q1368978 Q611100 Q1248747 Q1077 Q1190630 Q811225 Q1192644 Q11622 Q23831 Q212156 Q83071 Q4300886 Q2700478 Q5554642 Q755975 Q23572 Q17104814 Q812805 Q1249333 Q698301 Q1171033 Q7039588 Q130615 Q655271 Q24156458 Q1054760 Q978011 Q2690883 Q451399 Q18571935 Q2533572 Q369111 Q2298323 Q732063 Q166845 Q2095183 Q155629 Q7512111 Q506074 Q10292622 Q921889 Q214107 Q1264983 Q92096 Q1247907 Q189411 Q702061 Q1247268 Q6422347 Q45717 Q974857 Q6011000 Q3962025 Q649097 Q776608 Q1849170 Q1152081 Q207746 Q1571849 Q4543361 Q1286698 Q4846058 Q23829 Q18608849 Q3853767 Q3527986 Q638590 Q77522 Q13419757 Q3052933 Q1141930 Q1278637 Q2022612 Q280154 Q11275379 Q2553745 Q3234199 Q922713 Q1193499 Q217246 Q7336117 Q461100 Q1982608 Q617274 Q1193889 Q7737672 Q2072832 Q465616 Q1247201 Q1625113 Q390120 Q679623 Q902253 Q2077112 Q586491 Q4982200 Q488652 Q2265954 Q1044635 Q1138953 Q1229047 Q2085 Q3273305 Q245996 Q773202 Q6407502 Q31426 Q33162 Q183513 Q1156862 Q635933 Q1156866 Q214016 Q1211796 Q1894972 Q162371 Q774834 Q2313956 Q174390 Q3555437 Q2518713 Q152178 Q2634204 Q7711682 Q634199 Q933189 Q264198 Q990842 Q1623411 Q1400775 Q559321 Q375062 Q779048 Q714753 Q1312683 Q244511 Q108774 Q617251 Q451943 Q13979 Q203707 Q5990513 Q2293964 Q1203502 Q3784600 Q18469946 Q3818118 Q7103920 Q591029 Q2744 Q4529 Q1193356 Q23623 Q208647 Q4183763 Q1190971 Q344081 Q34316 Q304290 Q2367132 Q182056 Q1768525 Q956446 Q156155 Q168708 Q3234630 Q1247495 Q1573292 Q1080682 Q1156849 Q16756 Q202577 Q7497756 Q7340827 Q126631 Q1145002 Q824379 Q366375 Q700127 Q192015 Q1247567 Q192259 Q828520 Q20655866 Q611745 Q56194 Q7721796 Q742103 Q8963139 Q1156853 Q2985293 Q599309 Q482482 Q217250 Q1215573 Q53110 Q189350 Q5291435 Q1193512 Q16290 Q1991960 Q250767 Q232737 Q752365 Q137034 Q5161696 Q1055984 Q1041541 Q701189 Q536137 Q3311904
(c(Q15961987)|c(Q15850590),P144,c(Q15416))
action approx
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15961987
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
action count
action filter_multi_types
action find_reverse
entity Q2298323
relation P144
type Q15961987
type Q15850590
[ANSWERS]
[[{'concept': 'Q15961987'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ?o ( COUNT ( ?t ) AS ?r ) WHERE { VALUES ( ?l ) { ( ontology:Q15961987 ) ( ontology:Q15850590 ) } . ?t rdf:type ?l } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?f ) AS ?g ) WHERE { ?f property:P144 resource:Q2298323 . { { ?f rdf:type ontology:Q15850590 } UNION { ?f rdf:type ontology:Q15961987 } } } } . FILTER ( ?r = ?g ) }
The Flintstones Porridge The Equalizer Unsolved Mysteries Cordon Kamen Rider Wizard The Famous Jett Jackson Ti lascio una canzone Contra Las Cuerdas Prisoners of War The Life and Loves of a She-Devil Yes Minister Peter Gunn Soldier Urusei Yatsura Dark Shadows Fifteen to One The Way to Dusty Death Dancing on Ice The Rocky and Bullwinkle Show Z for Zachariah Los Beverly de Peralvillo Crayon Shin-chan The A-Team The Grim Adventures of Billy & Mandy Bayside Shakedown Doc Martin Tiny Toon Adventures Traffik Underdog Shameless The Suite Life on Deck Nearest and Dearest Liar Game Da Ali G Show Steptoe and Son Star Trek: The Original Series Chōriki Sentai Ohranger Farmer Wants a Wife Kaizoku Sentai Gokaiger Firefly The Office Angel Downton Abbey I Am a Singer Caméra Café Getting On Survivor Game of Thrones series 12 of Strictly Come Dancing BeTipul The Quatermass Experiment Voltron The Burning Bed Sabri Maranan H₂O: Just Add Water Top Cat Maniac Super Sentai The Inbetweeners Real Humans Edge of Darkness The Big O Go Ask Alice Mission: Impossible Top Chef Cheers Maverick Fingersmith Sesame Street Sightings Family Feud Guerra dos Sexos Johnny Tsunami DuckTales The Man from U.N.C.L.E. Fort Boyard My Favorite Martian CSI: Miami Little Lord Fauntleroy Get Smart Knightmare You're Beautiful Police Squad! In Time with You Sirens Física o Química George and Mildred Reno 911! Tensou Sentai Goseiger Ben 10 Halloweentown The Magicians QI Aquí no hay quien viva The Office Angry Birds Stella The Returned Ti Ti Ti Those Who Kill Winx Club Secret Story Antiques Roadshow Juken Sentai Gekiranger The Wild Wild West Juukou B-Fighter All That Hagure Keiji: Junjōha Fat Albert and the Cosby Kids Hi-5 Whose Line Is It Anyway? Kamen Rider Black RX The Suite Life of Zack & Cody Rising Damp The Restless Years Kamen Rider Charlie's Angels Samurai Sentai Shinkenger The Great British Bake Off Climax! Jackass Batman Rendezvous with Death Torchwood Hyakujuu Sentai Gaoranger Long Way Down SWAT Kats: The Radical Squadron Denji Sentai Megaranger Bubble Gang 49 Days Man About the House Bewitched Kyōryū Sentai Zyuranger Teacher's Pet Twin Peaks B-Fighter Kabuto Three's Company Yo soy Betty, la fea Killer Karaoke America's Next Top Model Top Gear Buffy the Vampire Slayer Tokusou Sentai Dekaranger The Batman Seijuu Sentai Gingaman 21 Jump Street The Bridge Mystery Science Theater 3000 Charmed Toen Was Geluk Heel Gewoon Twelve Angry Men State of Play Anything Goes Don't Forget Your Toothbrush Glee Un gars, une fille The $1,000,000 Chance of a Lifetime Bottom The World of David the Gnome CSI Hallo K3 Who's the Boss? Trailer Park Boys Miami Vice Engine Sentai Go-onger Dead Like Me The Prisoner Nitro Circus Twitches Star Trek: Deep Space Nine Zyuden Sentai Kyoryuger Land of the Lost Saturday Night Live Kim Possible If I Ruled the World RIS Delitti Imperfetti Mahou Sentai Magiranger Hell's Kitchen Vai Que Cola The Yogi Bear Show Orphan Black Ninpuu Sentai Hurricaneger The X-Files Veronica Mars Bakuryū Sentai Abaranger Queer as Folk Married... with Children Super Robot Mach Baron Mirai Sentai Timeranger Recess Doctor Who Rugrats Battlestar Galactica Inuyasha Have I Got News for You The Killing Alarm für Cobra 11 – Die Autobahnpolizei Dallas The Bund Wonder Woman The League of Gentlemen Decalogue II Kyuukyuu Sentai GoGoFive Modern Family Till Death Us Do Part Shinsengumi Keppuroku Robbery Under Arms Hannah Montana The Osbournes Strangers with Candy Good Luck Charlie Science Ninja Team Gatchaman Yu-Gi-Oh! Car 54, Where Are You? CSI: NY Hercules: The Legendary Journeys Ashura no Gotoku Count Duckula 24 The Cay The Twilight Zone Furor Gekisou Sentai Carranger Who Do You Think You Are? Tenchi Muyo! K-On! Camp Rock The Proud Family High School Musical 30 Rock Don't Be Afraid of the Dark Kamen Rider V3 Star Trek: The Next Generation George of the Jungle The Brady Bunch The Walking Dead Mad About You The Fugitive Connections House of Cards Yama Onna Kabe Onna Kindaichi Case Files Lost in Space Ana y los 7
Game of Thrones Orphan Black Downton Abbey
action approx
action union
action find_reverse_tuple_counts
relation based on
type television program
type television genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
action count
action filter_multi_types
action find_reverse
entity Top Chef
relation based on
type television genre
type theatrical genre
[[{'concept': 'television genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?o WHERE { { SELECT DISTINCT ?o ( COUNT ( ?t ) AS ?r ) WHERE { VALUES ( ?l ) { ( ontology:television_genre ) ( ontology:theatrical_genre ) } . ?t rdf:type ?l } GROUP BY ?o } . { SELECT DISTINCT ( COUNT ( ?f ) AS ?g ) WHERE { ?f property:based_on resource:Top_Chef . { { ?f rdf:type ontology:theatrical_genre } UNION { ?f rdf:type ontology:television_genre } } } } . FILTER ( ?r = ?g ) }
[]
Logical Reasoning (All)
Logical|Union|Multiple_Relation
Q16075365 Q805807
P138 P7
Q502895
USER
Which people are Balto named after or have Zhao Shi as their sibling ?
OR((Q805807,P138,c(Q502895)), (Q16075365,P7,c(Q502895)))
action filter_type
action union
action find
entity Q805807
relation P138
action find
entity Q16075365
relation P7
type Q502895
{'OR': [['Q805807', 'P138', {'concept': 'Q502895'}], ['Q16075365', 'P7', {'concept': 'Q502895'}]]}
SELECT DISTINCT ?g WHERE { { { resource:Q805807 property:P138 ?g } UNION { resource:Q16075365 property:P7 ?g } } . ?g rdf:type ontology:Q502895 }
Zhao Shi Balto
action filter_type
action union
action find
entity Balto
relation named after
action find
entity Zhao Shi
relation brother
type common name
{'OR': [['Balto', 'named after', {'concept': 'common name'}], ['Zhao Shi', 'brother', {'concept': 'common name'}]]}
SELECT DISTINCT ?g WHERE { { { resource:Balto property:named_after ?g } UNION { resource:Zhao_Shi property:brother ?g } } . ?g rdf:type ontology:common_name }
[]
common name
Q16075348 Q16075373 Q15926392 Q16078102 Q15953734 Q16075403 Q16075307 Q16075318 Q16075362 Q16075370
SYSTEM
Some of them are Zhao Gong, Zhao Mu, Zhao Zhen, Zhao Qi, Zhao Shu, Zhao Chun, Zhao Di, Zhao E, Zhao Ji, Zhao Ji
Q16075388 Q16075415 Q1770661 Q16077916 Q7489 Q7488 Q16078407 Q15926392 Q16075373 Q16075370 Q16075377 Q16075356 Q16075410 Q16075331 Q16075330 Q16075318 Q15927754 Q16075392 Q16077821 Q16078299 Q15953734 Q16078102 Q16075283 Q16078792 Q16075362 Q16075348 Q16075284 Q16075321 Q16075344 Q16075369 Q16075403 Q16075402 Q16075307 Q16075407 Q16075341
OR((Q805807,P138,c(Q502895)), (Q16075365,P7,c(Q502895)))
action filter_type
action union
action find
entity Q805807
relation P138
action find
entity Q16075365
relation P7
type Q502895
Balto are named have [ANSWERS]
{'OR': [['Q805807', 'P138', {'concept': 'Q502895'}], ['Q16075365', 'P7', {'concept': 'Q502895'}]]}
SELECT DISTINCT ?g WHERE { { { resource:Q805807 property:P138 ?g } UNION { resource:Q16075365 property:P7 ?g } } . ?g rdf:type ontology:Q502895 }
Zhao Yang Zhao Tong Samuel Balto Zhao Ji Emperor Gaozong of Song Emperor Qinzong of Song Zhao Yi Zhao Zhen Zhao Mu Zhao Ji Zhao Yue Zhao Xiang Zhao Si Zhao Xu Zhao Bing Zhao E Zhao Kai Zhao Tan Zhao Zhu Zhao Jian Zhao Shu Zhao Qi Zhao Cheng Zhao Dong Zhao Ji Zhao Gong Zhao Pu Zhao Wo Zhao Cai Zhao Chan Zhao Chun Zhao Yu Zhao Di Zhao Zhi Zhao Cong
Balto are named have Zhao Gong, Zhao Mu, Zhao Zhen, Zhao Qi, Zhao Shu, Zhao Chun, Zhao Di, Zhao E, Zhao Ji and Zhao Ji
Zhao Gong Zhao Mu Zhao Zhen Zhao Qi Zhao Shu Zhao Chun Zhao Di Zhao E Zhao Ji Zhao Ji
action filter_type
action union
action find
entity Balto
relation named after
action find
entity Zhao Shi
relation brother
type common name
{'OR': [['Balto', 'named after', {'concept': 'common name'}], ['Zhao Shi', 'brother', {'concept': 'common name'}]]}
SELECT DISTINCT ?g WHERE { { { resource:Balto property:named_after ?g } UNION { resource:Zhao_Shi property:brother ?g } } . ?g rdf:type ontology:common_name }
[]
Verification (Boolean) (All)
Verification|one entity, multiple entities (as object) referred indirectly
Q747449
P7
Q502895
USER
Did László Cseh have those ones as brother ?
(Q747449,P7,Q16075348) (Q747449,P7,Q16075373) (Q747449,P7,Q15926392) (Q747449,P7,Q16078102) (Q747449,P7,Q15953734) (Q747449,P7,Q16075403) (Q747449,P7,Q16075307) (Q747449,P7,Q16075318) (Q747449,P7,Q16075362) (Q747449,P7,Q16075370)
action is_in
entity prev_answer
action find
entity Q747449
relation P7
['Q747449', 'P7', 'Q16075348'] ['Q747449', 'P7', 'Q16075373'] ['Q747449', 'P7', 'Q15926392'] ['Q747449', 'P7', 'Q16078102'] ['Q747449', 'P7', 'Q15953734'] ['Q747449', 'P7', 'Q16075403'] ['Q747449', 'P7', 'Q16075307'] ['Q747449', 'P7', 'Q16075318'] ['Q747449', 'P7', 'Q16075362'] ['Q747449', 'P7', 'Q16075370']
ASK WHERE { VALUES ( ?w ) { ( resource:Q16075388 ) ( resource:Q16075415 ) ( resource:Q1770661 ) } . resource:Q747449 property:P7 ?w }
László Cseh
action is_in
entity prev_answer
action find
entity László Cseh
relation brother
['László Cseh', 'brother', 'Zhao Gong'] ['László Cseh', 'brother', 'Zhao Mu'] ['László Cseh', 'brother', 'Zhao Zhen'] ['László Cseh', 'brother', 'Zhao Qi'] ['László Cseh', 'brother', 'Zhao Shu'] ['László Cseh', 'brother', 'Zhao Chun'] ['László Cseh', 'brother', 'Zhao Di'] ['László Cseh', 'brother', 'Zhao E'] ['László Cseh', 'brother', 'Zhao Ji'] ['László Cseh', 'brother', 'Zhao Ji']
ASK WHERE { VALUES ( ?w ) { ( resource:Zhao_Yang ) ( resource:Zhao_Tong ) ( resource:Samuel_Balto ) } . resource:László_Cseh property:brother ?w }
[]
common name
SYSTEM
NO
(Q747449,P7,Q16075348) (Q747449,P7,Q16075373) (Q747449,P7,Q15926392) (Q747449,P7,Q16078102) (Q747449,P7,Q15953734) (Q747449,P7,Q16075403) (Q747449,P7,Q16075307) (Q747449,P7,Q16075318) (Q747449,P7,Q16075362) (Q747449,P7,Q16075370)
action is_in
entity prev_answer
action find
entity Q747449
relation P7
[ANSWER]
['Q747449', 'P7', 'Q16075348'] ['Q747449', 'P7', 'Q16075373'] ['Q747449', 'P7', 'Q15926392'] ['Q747449', 'P7', 'Q16078102'] ['Q747449', 'P7', 'Q15953734'] ['Q747449', 'P7', 'Q16075403'] ['Q747449', 'P7', 'Q16075307'] ['Q747449', 'P7', 'Q16075318'] ['Q747449', 'P7', 'Q16075362'] ['Q747449', 'P7', 'Q16075370']
ASK WHERE { VALUES ( ?w ) { ( resource:Q16075388 ) ( resource:Q16075415 ) ( resource:Q1770661 ) } . resource:Q747449 property:P7 ?w }
No
action is_in
entity prev_answer
action find
entity László Cseh
relation brother
['László Cseh', 'brother', 'Zhao Gong'] ['László Cseh', 'brother', 'Zhao Mu'] ['László Cseh', 'brother', 'Zhao Zhen'] ['László Cseh', 'brother', 'Zhao Qi'] ['László Cseh', 'brother', 'Zhao Shu'] ['László Cseh', 'brother', 'Zhao Chun'] ['László Cseh', 'brother', 'Zhao Di'] ['László Cseh', 'brother', 'Zhao E'] ['László Cseh', 'brother', 'Zhao Ji'] ['László Cseh', 'brother', 'Zhao Ji']
ASK WHERE { VALUES ( ?w ) { ( resource:Zhao_Yang ) ( resource:Zhao_Tong ) ( resource:Samuel_Balto ) } . resource:László_Cseh property:brother ?w }
[]
Verification (Boolean) (All)
Verification|2 entities, both direct
Q2640582 Q30
P27
Q15617994
USER
Is Audrey Totter an inhabitant of United States of America ?
(Q2640582,P27,Q30)
action is_in
entity Q30
action find
entity Q2640582
relation P27
['Q2640582', 'P27', 'Q30']
ASK WHERE { resource:Q2640582 property:P27 resource:Q30 }
Audrey Totter United States of America
action is_in
entity United States of America
action find
entity Audrey Totter
relation country of citizenship
['Audrey Totter', 'country of citizenship', 'United States of America']
ASK WHERE { resource:Audrey_Totter property:country_of_citizenship resource:United_States_of_America }
[]
designation for an administrative territorial entity
SYSTEM
YES
(Q2640582,P27,Q30)
action is_in
entity Q30
action find
entity Q2640582
relation P27
[ANSWER]
['Q2640582', 'P27', 'Q30']
ASK WHERE { resource:Q2640582 property:P27 resource:Q30 }
Yes
action is_in
entity United States of America
action find
entity Audrey Totter
relation country of citizenship
['Audrey Totter', 'country of citizenship', 'United States of America']
ASK WHERE { resource:Audrey_Totter property:country_of_citizenship resource:United_States_of_America }
[]
Simple Question (Direct)
Simple Question|Single Entity
Q2640582
P20
Q486972
USER
Where did Audrey Totter die ?
(Q2640582,P20,c(Q486972))
action filter_type
action find
entity Q2640582
relation P20
type Q486972
['Q2640582', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ?e WHERE { resource:Q2640582 property:P20 ?e . ?e rdf:type ontology:Q486972 }
Audrey Totter
action filter_type
action find
entity Audrey Totter
relation place of death
type human settlement
['Audrey Totter', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ?e WHERE { resource:Audrey_Totter property:place_of_death ?e . ?e rdf:type ontology:human_settlement }
[]
human settlement
Q1337818
SYSTEM
Woodland Hills
Q1337818
(Q2640582,P20,c(Q486972))
action filter_type
action find
entity Q2640582
relation P20
type Q486972
Audrey Totter died in [ANSWER]
['Q2640582', 'P20', {'concept': 'Q486972'}]
SELECT DISTINCT ?e WHERE { resource:Q2640582 property:P20 ?e . ?e rdf:type ontology:Q486972 }
Woodland Hills
Audrey Totter died in Woodland Hills
Woodland Hills
action filter_type
action find
entity Audrey Totter
relation place of death
type human settlement
['Audrey Totter', 'place of death', {'concept': 'human settlement'}]
SELECT DISTINCT ?e WHERE { resource:Audrey_Totter property:place_of_death ?e . ?e rdf:type ontology:human_settlement }
[]
Verification (Boolean) (All)
Verification|2 entities, one direct and one indirect, subject is indirect
Q1337818 Q10203
P17
Q15617994
USER
Is that human settlement located in Prali ?
(Q1337818,P17,Q10203)
action is_in
entity Q10203
action find
entity Q1337818
relation P17
['Q1337818', 'P17', 'Q10203']
ASK WHERE { resource:Q1337818 property:P17 resource:Q10203 }
Woodland Hills Prali
action is_in
entity Prali
action find
entity Woodland Hills
relation country
['Woodland Hills', 'country', 'Prali']
ASK WHERE { resource:Woodland_Hills property:country resource:Prali }
[]
designation for an administrative territorial entity
SYSTEM
NO
(Q1337818,P17,Q10203)
action is_in
entity Q10203
action find
entity Q1337818
relation P17
[ANSWER]
['Q1337818', 'P17', 'Q10203']
ASK WHERE { resource:Q1337818 property:P17 resource:Q10203 }
No
action is_in
entity Prali
action find
entity Woodland Hills
relation country
['Woodland Hills', 'country', 'Prali']
ASK WHERE { resource:Woodland_Hills property:country resource:Prali }
[]
Logical Reasoning (All)
Logical|Intersection|Multiple_Relation
Q30 Q43380
P449 P495
Q15416
USER
Which television programs were originally telecasted by CBS and are United States of America a country of origin of ?
AND((c(Q15416),P449,Q43380), (c(Q15416),P495,Q30))
action filter_type
action intersection
action find_reverse
entity Q43380
relation P449
action find_reverse
entity Q30
relation P495
type Q15416
{'AND': [[{'concept': 'Q15416'}, 'P449', 'Q43380'], [{'concept': 'Q15416'}, 'P495', 'Q30']]}
SELECT DISTINCT ?g WHERE { ?g property:P495 resource:Q30 . ?g property:P449 resource:Q43380 . ?g rdf:type ontology:Q15416 }
United States of America CBS
action filter_type
action intersection
action find_reverse
entity CBS
relation original network
action find_reverse
entity United States of America
relation country of origin
type television program
{'AND': [[{'concept': 'television program'}, 'original network', 'CBS'], [{'concept': 'television program'}, 'country of origin', 'United States of America']]}
SELECT DISTINCT ?g WHERE { ?g property:country_of_origin resource:United_States_of_America . ?g property:original_network resource:CBS . ?g rdf:type ontology:television_program }
[]
television program
Q3988324 Q279881 Q3787137 Q7071810 Q153227 Q2931940 Q647001 Q676544 Q6091375 Q3284421
SYSTEM
Some of them are The Millionaire, Cane, Cutter to Houston, O'Hara, U.S. Treasury, The Jeffersons, Q.E.D., Dr. Quinn, Medicine Woman, The Unit, It's an Adventure, Charlie Brown, Where's Huddles?
Q4905635 Q4916177 Q3284313 Q640535 Q853301 Q447527 Q1248754 Q6544896 Q5694787 Q4006133 Q2776952 Q909149 Q3779824 Q5506007 Q4023045 Q2226543 Q3227272 Q5523025 Q7731606 Q559270 Q18151598 Q1140270 Q3989977 Q5523028 Q3866759 Q3924403 Q18844732 Q7774976 Q3283375 Q2946304 Q1214490 Q21475234 Q7719737 Q5453089 Q6091443 Q905432 Q165356 Q16952727 Q1248052 Q2699780 Q1618805 Q7334021 Q7713322 Q3221205 Q3475006 Q7975783 Q701207 Q810856 Q16919551 Q5519639 Q1619435 Q16205080 Q3962936 Q285057 Q3822598 Q2333199 Q7835670 Q16827161 Q7713484 Q13415854 Q6090942 Q2069882 Q5520134 Q4929845 Q7740857 Q872948 Q7723347 Q3701107 Q1030663 Q6931615 Q1156975 Q1252160 Q966307 Q5085137 Q7980754 Q6380261 Q5231565 Q7562275 Q7731546 Q3794037 Q6914806 Q7548002 Q7548000 Q3705133 Q5597033 Q2734526 Q6899198 Q1141741 Q3888803 Q4762155 Q3270887 Q1278637 Q3823120 Q1569468 Q715777 Q2016609 Q6948845 Q5912160 Q1140050 Q6954071 Q7356357 Q2056081 Q2190722 Q2270077 Q1525054 Q7743299 Q210683 Q5654717 Q1304696 Q5913591 Q3749141 Q7730060 Q1578746 Q700402 Q7753484 Q7980732 Q941737 Q2547946 Q540864 Q174972 Q1551002 Q1619982 Q7732794 Q2480163 Q7991543 Q1247907 Q7717867 Q3520112 Q7538972 Q15072814 Q2784108 Q4525 Q5948998 Q7762247 Q930765 Q5913741 Q647001 Q12411304 Q4003652 Q7071810 Q3177304 Q964651 Q1157768 Q826594 Q7617527 Q7142424 Q7617936 Q1248157 Q1247542 Q1261578 Q210468 Q3701327 Q1208153 Q1249300 Q7285153 Q17020767 Q18754943 Q1809754 Q1194087 Q3284352 Q3284421 Q2695367 Q15072865 Q1186342 Q204228 Q426432 Q7735185 Q7717410 Q17036343 Q697407 Q4154175 Q6075561 Q680373 Q9311628 Q6091434 Q7771020 Q1071958 Q23935968 Q13417213 Q5451393 Q1248026 Q2518379 Q389034 Q2758667 Q1968375 Q3264193 Q3283817 Q10381261 Q7731589 Q4636452 Q4912081 Q5756999 Q902968 Q4717117 Q1284299 Q11510 Q13360589 Q899746 Q5454561 Q2342787 Q8056638 Q3987323 Q2024122 Q2049265 Q1211831 Q7719730 Q808420 Q3958986 Q18483020 Q7503230 Q3336168 Q733960 Q6404957 Q4973315 Q1064123 Q3850439 Q208568 Q2056576 Q7430754 Q2283521 Q3837224 Q254689 Q4442194 Q7743399 Q16996766 Q19798713 Q7782720 Q3819650 Q6084 Q1546341 Q20311507 Q1969795 Q1248082 Q7993535 Q4657356 Q3853754 Q3786947 Q117396 Q8054390 Q4655826 Q3908381 Q1185057 Q251801 Q427702 Q5921947 Q3752912 Q568328 Q18157201 Q5505964 Q594402 Q797826 Q20084483 Q238597 Q21189382 Q617896 Q8056567 Q7270676 Q6097874 Q20853388 Q6012672 Q7749853 Q1248532 Q409389 Q3988461 Q12132407 Q1438216 Q826477 Q2509270 Q2062072 Q2818209 Q1248669 Q470111 Q919208 Q1961339 Q1170369 Q2649688 Q210503 Q5216002 Q3555503 Q4851196 Q19570 Q3521421 Q5009285 Q6771902 Q3974487 Q1426605 Q4906585 Q717347 Q586199 Q750205 Q4906589 Q3764972 Q202727 Q178724 Q3707720 Q3986704 Q5433039 Q16156339 Q838248 Q6091375 Q16151232 Q1248101 Q7376868 Q3985681 Q2870356 Q676544 Q202141 Q3649468 Q221237 Q5060006 Q3576808 Q3795515 Q3402471 Q2338149 Q16961591 Q5647996 Q3794236 Q3620910 Q1145764 Q4781633 Q7734258 Q1247192 Q3787042 Q3751741 Q5122539 Q3648566 Q143493 Q3650739 Q930951 Q5123562 Q2545719 Q1048856 Q3985952 Q7409195 Q588602 Q6841197 Q5467115 Q6213135 Q476979 Q17061147 Q3494768 Q6673933 Q510881 Q3790600 Q3735939 Q3988710 Q2193488 Q2931940 Q1031248 Q7720346 Q5009252 Q733950 Q7750494 Q3907575 Q2700116 Q3245093 Q8056649 Q502263 Q7160103 Q8031616 Q1304456 Q3072951 Q15070525 Q5146345 Q1127377 Q3987475 Q727826 Q7389634 Q4786596 Q1031065 Q3950242 Q4986256 Q3987201 Q7728881 Q5057771 Q328519 Q5299870 Q590572 Q1248499 Q1346961 Q3205038 Q5196952 Q677827 Q1248794 Q7747927 Q13220443 Q1926620 Q2675698 Q1359640 Q654517 Q147235 Q1248810 Q3782397 Q8031774 Q5467933 Q6308595 Q1753701 Q7751363 Q20966089 Q6730193 Q527702 Q1248145 Q1247556 Q932652 Q7754511 Q3116736 Q2927527 Q3088990 Q4666373 Q849627 Q3522528 Q7753505 Q5043080 Q5565598 Q4791638 Q7974066 Q5178502 Q18754973 Q549163 Q3790586 Q168708 Q3663891 Q16269155 Q421733 Q5288450 Q19872331 Q6375389 Q15732481 Q1247708 Q1632277 Q4892290 Q944287 Q4900175 Q192259 Q521718 Q20875567 Q392832 Q7111134 Q3759476 Q1247170 Q7716923 Q16954422 Q2438202 Q15072910 Q4966725 Q2565099 Q5519896 Q6555018 Q2012612 Q7763189 Q3283805 Q1002254 Q7694430 Q7694431 Q1655894 Q3054557 Q3986215 Q24200837 Q536137 Q1122274 Q607960 Q7746967 Q181943 Q4986243 Q4986244 Q494244 Q3063030 Q5582428 Q1823996 Q19911394 Q1308133 Q815064 Q3282277 Q3895807 Q2070469 Q19875190 Q5990661 Q603120 Q2698050 Q730057 Q5692779 Q3224174 Q4651586 Q1535629 Q4019190 Q6811656 Q3793189 Q7824471 Q5245282 Q5463445 Q1218408 Q15072908 Q7360887 Q510554 Q1304408 Q16997375 Q2172728 Q5136525 Q4489470 Q4762038 Q7548009 Q636804 Q3859284 Q4004191 Q3822252 Q5537454 Q468257 Q5207958 Q3716001 Q3828605 Q4898462 Q7883126 Q742551 Q16171267 Q4660855 Q3521501 Q8539 Q3881953 Q3832856 Q5595085 Q211184 Q3882279 Q3854590 Q3828486 Q2601055 Q1247452 Q369111 Q7279787 Q3953862 Q7624974 Q6658090 Q17034268 Q4506311 Q3811248 Q532254 Q464865 Q15270614 Q2525283 Q5682679 Q24729509 Q1188675 Q1959738 Q3952135 Q3259699 Q1216187 Q777633 Q3268507 Q1339627 Q858778 Q2850640 Q964677 Q449857 Q533786 Q4876989 Q5457867 Q4769384 Q527916 Q738447 Q1253966 Q303539 Q7493661 Q3283582 Q4020645 Q1033458 Q1814946 Q3828496 Q4698152 Q2119304 Q3790800 Q1247523 Q1393337 Q4408219 Q7710974 Q5127431 Q5270331 Q300420 Q7749445 Q285775 Q4031546 Q5024017 Q3519691 Q5935 Q7559635 Q3129984 Q6844174 Q6844177 Q7091094 Q3755544 Q3801145 Q3284379 Q7823949 Q15140455 Q7158020 Q19954385 Q5574798 Q7715808 Q1086390 Q5299703 Q1678853 Q490229 Q7672268 Q5089133 Q5652493 Q4022492 Q3962483 Q2636947 Q543273 Q5009276 Q3988324 Q5600937 Q526035 Q1462394 Q6953770 Q7770362 Q10339909 Q1050091 Q646224 Q13418620 Q2553745 Q5434599 Q3828500 Q19798767 Q1116894 Q256208 Q7170451 Q12059741 Q1247529 Q4838141 Q5158131 Q4966684 Q2081494 Q3991415 Q7797962 Q7687035 Q1993636 Q3991427 Q14752720 Q617020 Q5026002 Q3772164 Q1878474 Q4535725 Q1427871 Q662341 Q6770985 Q11753903 Q7065882 Q3814951 Q7711830 Q7737406 Q82729 Q3787137 Q4658737 Q936279 Q29641 Q5610362 Q7013811 Q9010031 Q784696 Q7073310 Q1247248 Q6034473 Q3979019 Q3714806 Q5618343 Q8056616 Q8025600 Q564345 Q3843154 Q6946105 Q7126169 Q3925984 Q5508008 Q624866 Q3037360 Q7782603 Q1575230 Q2248519 Q1836927 Q247643 Q1248785 Q3844061 Q476389 Q1262227 Q6267583 Q5097667 Q1248820 Q5294257 Q937574 Q4986245 Q700733 Q1247562 Q4660402 Q17110140 Q885643 Q7700479 Q1754224 Q1969956 Q2308392 Q2996045 Q18645287 Q3836596 Q3927312 Q7763104 Q1050658 Q3274503 Q1946386 Q1070749 Q2736003 Q8024367 Q440938 Q7745969 Q247869 Q851791 Q60342 Q551602 Q5305564 Q3988066 Q6807863 Q739122 Q956474 Q7736756 Q4740508 Q3715951 Q48777 Q5749453 Q1660018 Q7764593 Q6739685 Q2862139 Q1248045 Q7396440 Q3711989 Q16802335 Q1538082 Q5463236 Q7694428 Q833322 Q7694425 Q660263 Q7694427 Q5302895 Q7694421 Q1785801 Q7911642 Q7719795 Q2531885 Q1549361 Q638792 Q5422739 Q721934 Q4782692 Q2247014 Q7696483 Q7720527 Q2736505 Q799860 Q6952970 Q2702538 Q431917 Q4762281 Q7811121 Q3857346 Q7738909 Q3790115 Q7958810 Q1674078 Q728443 Q7752981 Q4794788 Q3548297 Q4655827 Q2713528 Q4907849 Q2074903 Q5652937 Q7756018 Q153227 Q6730342 Q1247581 Q280325 Q1659531 Q1428441 Q5436995 Q3837713 Q7572232 Q16524263 Q2273548 Q5506238 Q7824675 Q1260081 Q860038 Q2183802 Q2530652 Q3706127 Q32488 Q83849 Q3231677 Q13420404 Q615944 Q3746632 Q6946389 Q7712333 Q4903554 Q7491880 Q7977056 Q82000 Q6187389 Q3824162 Q3707878 Q4936838 Q2056641 Q5104770 Q5304384 Q15072938 Q2777552 Q7764942 Q305312 Q3991268 Q5475098 Q7119148 Q2918180 Q5318049 Q425836 Q498569 Q3952734 Q1494222 Q2107990 Q4657651 Q7103250 Q468333 Q699383 Q1440955 Q742103 Q16893352 Q591774 Q16893767 Q1247206 Q17109871 Q3224333 Q670579 Q18645265 Q1797430 Q279881 Q5469407 Q3657905 Q4904732 Q318649 Q1266491 Q3281789 Q531922 Q2902114 Q7814726 Q82986 Q18151589 Q19798683 Q4875950 Q1193168 Q3873463 Q4686609 Q23954881 Q2068716 Q5123008 Q1217808 Q7735886 Q7743788 Q769237 Q3611894 Q2574359 Q2359457 Q4000668 Q260654 Q3959163 Q5281081 Q182597 Q1520271 Q3641022 Q2633803 Q2576897 Q603618 Q1248471 Q1248019 Q3230693 Q6059058 Q798064 Q6089928 Q4014812 Q7457185 Q7747419 Q6375651 Q1164059 Q2155230 Q16875508 Q189267 Q2492030 Q5146333 Q4686484 Q289537 Q1494980 Q7968143 Q8030761 Q2849711 Q16951664 Q2072832 Q8025698 Q7768034 Q1246416 Q5009273 Q7753609 Q1249404 Q1248138 Q3005610 Q5441138 Q7688427 Q7253262 Q3682077 Q3038461 Q524994 Q6090042 Q1859906 Q1053941 Q24620 Q164739 Q4022709 Q23927535 Q6896787 Q16985158 Q16966787 Q3714371 Q7757764 Q13418646 Q6942502 Q3989616 Q8034951 Q12060814 Q2495330 Q7354697 Q16252510 Q3985561 Q7420497 Q5652947 Q7392707 Q7735150 Q7736193 Q301345 Q3712420 Q4914885 Q5882483 Q6778747 Q3279460 Q5220074 Q7577126 Q1190140 Q20979212 Q6144193 Q18153350 Q4641678 Q639557 Q189411 Q3715260 Q3682085 Q567750 Q3793477 Q641690 Q7713432 Q5676899 Q7766557 Q5321564 Q3896097 Q3797638 Q4798829 Q1619856 Q5967302 Q4848377 Q5128131 Q2947967
AND((c(Q15416),P449,Q43380), (c(Q15416),P495,Q30))
action filter_type
action intersection
action find_reverse
entity Q43380
relation P449
action find_reverse
entity Q30
relation P495
type Q15416
[ANSWERS]
{'AND': [[{'concept': 'Q15416'}, 'P449', 'Q43380'], [{'concept': 'Q15416'}, 'P495', 'Q30']]}
SELECT DISTINCT ?g WHERE { ?g property:P495 resource:Q30 . ?g property:P449 resource:Q43380 . ?g rdf:type ontology:Q15416 }
Big Eddie Birdz The Alvin Show Knots Landing Beyond Westworld Captain Kangaroo The Defenders Life Is a Circus, Charlie Brown Heaven for Betsy Storefront Lawyers Harlem Globetrotters Salem's Lot Gunslinger Frontier Justice Young Dan'l Boone Where the Heart Is The Last Frontier Garfield's Babes and Bullets The Education of Max Bickford The Twilight Zone The Late Show with Stephen Colbert The Ellen Show The Weird Al Show Garfield's Thanksgiving Mr. Adams and Eve The Law & Harry McGraw Supergirl The Will The Sonny & Cher Comedy Hour Century City Can't Hurry Love American Gothic The Boys Are Back First Impressions It's the Girl in the Red Truck, Charlie Brown The Perils of Penelope Pitstop Perry Mason Bonnie The Lucy–Desi Comedy Hour Wanted: Dead or Alive The Biskitts Riker The Amazing Live Sea Monkeys Wildfire Emerald Point N.A.S. Way Out Games M.A.S.K. 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My Dad Says Undercover Boss Cybill Fish Police The Tom and Jerry Comedy Show You're in the Picture The Good Guys One West Waikiki Pandamonium The Bad News Bears The Boys Barnaby Jones Shaft Rush Hour Shower of Stars NASCAR on CBS Cold Case Kids Say the Darndest Things Broken Badges A Christmas Carol Nurse Everybody Loves Raymond That's Life Scene of the Crime Gilligan's Planet The Interns Magnum, P.I. The West Point Story The Johnny Carson Show In the Beginning The Jane Froman Show There Goes the Neighborhood The Alfred Hitchcock Hour NCIS: Los Angeles Silk Stalkings A Secret Affair Sons of Thunder Have Gun – Will Travel Whew! A Hobo's Christmas Medical Center Hotel Malibu CSI: Crime Scene Investigation Yogi Bear's All Star Comedy Christmas Caper A Charlie Brown Thanksgiving Popi Delvecchio Dr. Seuss' How the Grinch Stole Christmas! Early Edition Howie Freebie and the Bean The Guardian Zoo Frontier Circus Casino Royale Baby Bob Thoroughbred Racing on CBS Elvis The Inspectors CHAOS You're Not Elected, Charlie Brown Queen of the Stardust Ballroom Ivan the Terrible The Big Bang Theory, season 9 In the News The Man Behind the Badge Playhouse 90 Airwolf The New Adventures of Perry Mason What the Deaf Man Heard Three Rivers Without a Trace The Brighter Day Deputy Dawg 704 Hauser One Day at a Time Medium Hawkins The Robonic Stooges Mr. & Mrs. Smith Queens Supreme Shark Danger Island Down Will Come Baby Ball Four The Good Wife The Jacksons CBS Television Workshop Marlo and the Magic Movie Machine Wizards and Warriors Titanic Big Top The Charlie Brown and Snoopy Show Jack and the Beanstalk: The Real Story Fail Safe Big Town Hearts Are Wild Meego T. J. Hooker Otherworld DuPont Show of the Month Family Album Gary Larson's Tales from the Far Side Mr. Merlin It's an Adventure, Charlie Brown The Adventures of Hyperman Westinghouse Studio One Rude Dog The Aquanauts Under Suspicion The Unit Criminal Minds Cadillacs and Dinosaurs Jericho Center of the Universe Finding John Christmas The Reporter Almost Perfect Popeye and Son Secret Talents of the Stars Hanging In Young Maverick Apple's Way Guiding Light Appointment with Adventure The Fitzpatricks Judging Amy Houston Knights Frank's Place Citizen Baines CBS Playhouse Twenty One California Fever Raven City of Angels Love of Life All in the Family The Betty Hutton Show Same Name Search for Tomorrow Middle Ages For the People Joe and Sons Worst Week The Lone Ranger Square Pegs Longines Chronoscope Phyllis The Trials of Rosie O'Neill Executive Suite The Philip Morris Playhouse The Wuzzles Q.E.D. The Flash The Brotherhood of Poland, New Hampshire CBS News Sunday Morning Dudley The Mary Tyler Moore Hour The Oldest Rookie The Late Late Show with Craig Ferguson The Superman/Aquaman Hour of Adventure You're the Greatest, Charlie Brown Jim Henson's Muppet Babies Pee-wee's Playhouse Women of the House The New Adventures of Batman First Monday Busting Loose (TV series) College Bowl East Side/West Side The Hat Squad Kate & Allie SEC on CBS Archie's TV Funnies Underdog Sara Bugs vs. Daffy: Battle of the Music Video Stars The George Burns and Gracie Allen Show The Danny Kaye Show Celebrity Time Tequila and Bonetti Double Rush Unforgettable Route 66 Moonlight Logan's Run Cutters The Public Defender The New Dick Van Dyke Show The Lloyd Bridges Show The Crazy Ones Miami Medical CBS Morning News Lancer E/R How I Met Your Mother Dick Powell's Zane Grey Theater Hagen Wonder Wheels Ford Star Jubilee Julie and Carol at Carnegie Hall Silver Bells The Mighty Heroes BrainDead Maggie Briggs My Friend Flicka Here's Lucy Rhoda The Agency The Nurses Mother Goose and Grimm Buddy Faro The Get Along Gang Abe Burrows' Almanac The Young and the Restless The Road Home The New Andy Griffith Show Carlton Your Doorman Give-n-Take Ark II Waterfront Courthouse What's New, Mr. Magoo? 20,000 Leagues Under the Sea Hulk Hogan's Rock 'n' Wrestling Dallas The Loner Late Show (CBS TV series) Lou Grant Dogs in the City Angel from Hell Kate Brasher Friends with Better Lives In the Heat of the Night Jesse Stone Gone in the Night The Little Mermaid Beyond the Prairie: The True Story of Laura Ingalls Wilder CSI: NY Murphy Brown Dangerous Curves Scarecrow and Mrs. King Our Place General Electric Theater The New Adventures of Old Christine The Best of Broadway My Big Fat Greek Life A Garfield Christmas South of Sunset Bridget Loves Bernie Shazzan Game Show in My Head Linus the Lionhearted DinoSquad The Secrets of Isis The Amazing Chan and the Chan Clan Wacky Races Teenage Mutant Ninja Turtles (1987 TV series) (season 8) Teenage Mutant Ninja Turtles (1987 TV series) (season 9) Face the Nation Bodies of Evidence The Carol Burnett Show Man with a Plan (TV series) Lost in Space Whiz Kids Teen Wolf The Leslie Uggams Show I Love Lucy Bugs Bunny's Easter Special Bugs Bunny's Looney Christmas Tales M*A*S*H The Handler Good Advice The Morey Amsterdam Show Limitless Return to Lonesome Dove Crazy like a Fox The Archie Show Sons and Daughters Enos Life in Pieces If Not for You Garfield Goes Hollywood Archie Bunker's Place The Class Heartland The Wizard AFP: American Fighter Pilot The Super Mario Bros. Super Show! Westinghouse Desilu Playhouse Melba The Manhunter Top Cops Dead Man's Island Flying High The Magnificent Seven Romance (TV series) Roll Out Kojak The Dukes of Hazzard It Had to Be You The Early Show Clubhouse Trackdown Angel Snoopy's Getting Married, Charlie Brown Mr. Lucky The Mississippi Leg Work The Tom Ewell Show George Burns Comedy Week The District Daddy's Girls Live-In The Trials of O'Brien Better Days Under One Roof The Honeymooners You're a Good Sport, Charlie Brown A Year at the Top The Kwicky Koala Show The Big Bang Theory Brooklyn Bridge WIOU Grand Slam 2000 Malibu Road Omnibus Men into Space The Adventures of Champion Swingtown Family Affair Mission: Impossible Racket Squad Second Chances Struck by Lightning Live to Dance Way Out Gypsy The DuPont Show with June Allyson To Rome with Love The Nanny If Tomorrow Comes Wiseguy Haunted Lives: True Ghost Stories The Great Indoors (TV series) The New Scooby-Doo Movies Tour of Duty Schlitz Playhouse of Stars Robbery Homicide Division Beauty and the Beast Accidentally on Purpose Speed Buggy Martial Law Late Show with David Letterman Anna and the King Mummies Alive! Promised Land Bronk Beat the Clock Flatbush Annie McGuire Cagney & Lacey Yes, Dear Island Son Sometimes They Come Back Shell Game You're in Love, Charlie Brown Wolf Cannon Major Dad The Gene Autry Show Air Power Rob The Flintstone Comedy Hour The Lucy Show A Charlie Brown Christmas Sarah, Plain and Tall That's My Line Clark and Michael Diagnosis: Unknown A Gifted Man The Magic Land of Allakazam The Range Rider 48 Hours Calucci's Department The 5 Mrs. Buchanans Numb3rs Someday You'll Find Her, Charlie Brown Helter Skelter Mighty Mouse: The New Adventures Mighty Mouse Playhouse On Our Own GE True Me and the Chimp Partridge Family 2200 A.D. Too Rich: The Secret Life of Doris Duke Reckless Pearl Code Black Go Go Gophers The Batman/Tarzan Adventure Hour The Munsters Double Dare Jake and the Fatman 9/11 TV 101 Checking In Happy Birthday, Charlie Brown Yancy Derringer Skeleton Warriors Up to the Minute Ladies Man CBS Storybreak The Millionaire Greatest American Dog The Andy Griffith Show The Amazing Spider-Man NFL on CBS The Trouble with Larry Valley of the Dinosaurs Dastardly and Muttley in Their Flying Machines Brave Eagle The Millers Fat Albert and the Cosby Kids Far Out Space Nuts Captain Midnight Swinging Spiketaculars Eleventh Hour Trapper John, M.D. Person to Person Headmaster Mannix Baby, I'm Back Conan and the Young Warriors Bridges to Cross The Ed Sullivan Show Time Express Three for the Road Tarzan and the Super 7 Tarzan, Lord of the Jungle The White Shadow Concrete Cowboys Michael Hayes Camera Three The Chicago Teddy Bears Cade's County I'll Take Manhattan Meatballs & Spaghetti Falcon Crest Markham L.A. Doctors Now You See It Khan! The 20th Century The Governor & J.J. The Bold and the Beautiful Cutter to Houston A Peaceable Kingdom Scooby-Doo, Where Are You! Gunsmoke Groovie Goolies New York News It's Magic, Charlie Brown Here Comes Garfield O Pioneers! Picket Fences Ink Sydney Downtown Gun Shy You're a Good Man, Charlie Brown Winner Take All Person of Interest The Two of Us My Name Is Barbra Palace Guard Pursuit Full Circle Dirty Dancing Smith There's No Time for Love, Charlie Brown Mike & Molly Help!... It's the Hair Bear Bunch! Planet of the Apes Elementary The Bob Newhart Show Mama Malone See It Now Living with the Dead Johnny Ringo Child's Play Petticoat Junction Donald Duck's 50th Birthday To Have & to Hold Bugs Bunny's Howl-oween Special Close to Home Maude A Very Brady Christmas Scorpion Blue Bloods Tennis on CBS Ivanhoe Our Private World Family Dog Alice in Wonderland CBS Thursday Night Movie The Tarzan/Lone Ranger Adventure Hour Almost Grown The Secret Storm Category 6: Day of Destruction Some of My Best Friends The Dukes The Mickey Mouse Club Hee Haw Window on Main Street Harper's Island The Last Resort 60 Minutes Dink, the Little Dinosaur Dennis the Menace 3 lbs Drak Pack The Lone Ranger Meet the Raisins! Designing Women Horseland The Glen Campbell Goodtime Hour Amateur's Guide to Love Dundee and the Culhane The Waltons Hey Vern, It's Ernest! Dave's World The Skatebirds Making the Grade Armed & Famous Good Times Sabrina the Teenage Witch The Antagonists NCIS: New Orleans The Star Wars Holiday Special Fly by Night Teenage Mutant Ninja Turtles (1987 TV series) (season 6) Murder, She Wrote Teenage Mutant Ninja Turtles (1987 TV series) (season 4) What's My Line? Teenage Mutant Ninja Turtles (1987 TV series) (season 5) Down You Go Teenage Mutant Ninja Turtles (1987 TV series) (season 10) Out of Practice Valiant Lady The Bradys Listen Up Superman Presidio Med Eye to Eye with Connie Chung Garfield's Halloween Adventure Aquaman American Gothic Telephone Time The Bugs Bunny Mystery Special The Twisted Tales of Felix the Cat Bagdad Cafe NCAA March Madness Brooklyn South Hogan's Heroes Angel Street To Sir, with Love II The Andros Targets The Harlem Globetrotters Popcorn Machine The Cavanaughs Wacko Spencer's Pilots Hawaii Five-0 The NFL Today Arnie Now and Again A Charlie Brown Celebration The Ex List Bill & Ted's Excellent Adventures Garfield: His 9 Lives Happy New Year, America The Paper Chase The Jeffersons Maggie Winters The Edge of Night Dallas: The Early Years The Scarlet and the Black Gentle Ben Fast Times Love & Money Space Academy Bad Teacher Blackstar Frosty the Snowman Top of the Hill Still Standing CBS Summer Playhouse Where's Wally?: The Animated Series The New Adventures of Zorro Detective in the House 2 Broke Girls The Magician Bailey's Comets Hostages The Mary Tyler Moore Show Flo My Sister Eileen The Ad-Libbers Bicentennial Minutes She's a Good Skate, Charlie Brown We'll Get By Coronet Blue Jessica Novak Wild C.A.T.s Dinky Dog Body Language WKRP in Cincinnati Choose Up Sides Dr. Seuss on the Loose Jesse Hawkes Bring 'Em Back Alive The Smothers Brothers Comedy Hour Dark Justice Tightrope! Four Corners PGA Tour on CBS How to Be a Gentleman Dweebs Million Dollar Password Rules of Engagement Scorch Garfield in the Rough The Late Late Show A League of Their Own Orleans Threshold The Defenders The Job The Twilight Zone Stalker Secrets of Midland Heights The McCarthys Alfred Hitchcock Presents The Odd Couple Marsupilami The Incredible Hulk Battle Creek Hearts Afire Cane Forever Love Benji, Zax & the Alien Prince Biff Baker, U.S.A. Ghost Whisperer Hazel Saturday Supercade Streets of Laredo Big Apple Tom Ace Ventura: Pet Detective The Late Late Show with James Corden Brenner Beacon Hill The Equalizer Navy Log Adventures in Jazz Daffy Duck's Easter Special P.S. I Luv U City Switch The Garry Moore Show The Judy Garland Show The Investigators All's Fair The Herculoids Survivor Turks Joan of Arcadia Shannon Dirty Sally Category 7: The End of the World Scarlett Blondie Cimarron Strip Space Ghost Capitol Love Is a Many Splendored Thing Alice Green Acres Intruders Blonde It's Arbor Day, Charlie Brown House Calls Seven Brides for Seven Brothers The Lineup Kate McShane Family Law Lux Video Theatre Madam Secretary (TV series) Two and a Half Men Courting Alex College Basketball on CBS Adventure Lassie Gary Unmarried Wanted Woman with a Past The Blue Knight Big Wave Dave's Climax! Winning Lines The Talk Vacation Playhouse CBS Sports Spectacular The New Ghostwriter Mysteries Mayberry R.F.D. Truth or Consequences Crusader Feds Tattletales Pryor's Place Jericho Dr. Vegas Christy It's Flashbeagle, Charlie Brown Garfield in Paradise Central Park West Due South Doctor Doctor Yes, Virginia A Connecticut Rabbit in King Arthur's Court Moloney Sunrise Semester Wanna Bet? Dorothy The Popcorn Kid We Are Men Musical Chairs The Texan Working Stiffs It's News to Me Hard Time on Planet Earth Rock Star: INXS The Life and Adventures of Santa Claus The 20th Century Fox Hour Santo Bugito Happy New Year, Charlie Brown! SP FX: The Empire Strikes Back The Frank Sinatra Show The George Wendt Show Northern Exposure Doc Biography Hollywood's Talking Mary Pole Position Danny Spies Made in Jersey Bodies of Evidence The Building Prudential Family Playhouse 60 Minutes II Space Rangers CSI: Miami Dreams Code R Garfield's Feline Fantasies The Client Mad Love The American Baking Competition Harvest of Shame The Stockard Channing Show E.A.R.T.H. Force Park Place (TV series) Against Her Will: An Incident in Baltimore Arthur Godfrey's Talent Scouts Jeannie I've Got a Secret Bailey Kipper's P.O.V. Classic Creatures: Return of the Jedi Under the Dome
The Millionaire, Cane, Cutter to Houston, O'Hara, U.S. Treasury, The Jeffersons, Q.E.D., Dr. Quinn, Medicine Woman, The Unit, It's an Adventure, Charlie Brown and Where's Huddles were originally telecasted by CBS and are United States of America a country of origin of
The Millionaire Cane Cutter to Houston O'Hara, U.S. Treasury The Jeffersons Q.E.D. Dr. Quinn, Medicine Woman The Unit It's an Adventure, Charlie Brown Where's Huddles?
action filter_type
action intersection
action find_reverse
entity CBS
relation original network
action find_reverse
entity United States of America
relation country of origin
type television program
{'AND': [[{'concept': 'television program'}, 'original network', 'CBS'], [{'concept': 'television program'}, 'country of origin', 'United States of America']]}
SELECT DISTINCT ?g WHERE { ?g property:country_of_origin resource:United_States_of_America . ?g property:original_network resource:CBS . ?g rdf:type ontology:television_program }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Logical operators
Q30
P1071
Q3514338 Q386724
USER
How many printing techniques and works have United States of America as their final assembly location ?
(c(Q3514338),P1071,Q30) (c(Q386724),P1071,Q30)
action count
action union
action filter_type
action find_reverse
entity Q30
relation P1071
type Q3514338
action filter_type
action find_reverse
entity Q30
relation P1071
type Q386724
[{'concept': 'Q3514338'}, 'P1071', 'Q30'] [{'concept': 'Q386724'}, 'P1071', 'Q30']
SELECT DISTINCT ( COUNT ( ?d ) AS ?q ) WHERE { VALUES ( ?v ) { ( ontology:Q3514338 ) ( ontology:Q386724 ) } . ?d rdf:type ?v }
United States of America
action count
action union
action filter_type
action find_reverse
entity United States of America
relation location of final assembly
type printing technique
action filter_type
action find_reverse
entity United States of America
relation location of final assembly
type work
[{'concept': 'printing technique'}, 'location of final assembly', 'United States of America'] [{'concept': 'work'}, 'location of final assembly', 'United States of America']
SELECT DISTINCT ( COUNT ( ?d ) AS ?q ) WHERE { VALUES ( ?v ) { ( ontology:printing_technique ) ( ontology:work ) } . ?d rdf:type ?v }
[]
printing technique work
SYSTEM
1 printing techniques and 1 works
Q18669758 Q18572552
(c(Q3514338),P1071,Q30) (c(Q386724),P1071,Q30)
action count
action union
action filter_type
action find_reverse
entity Q30
relation P1071
type Q3514338
action filter_type
action find_reverse
entity Q30
relation P1071
type Q386724
[ANSWER]
[{'concept': 'Q3514338'}, 'P1071', 'Q30'] [{'concept': 'Q386724'}, 'P1071', 'Q30']
SELECT DISTINCT ( COUNT ( ?d ) AS ?q ) WHERE { VALUES ( ?v ) { ( ontology:Q3514338 ) ( ontology:Q386724 ) } . ?d rdf:type ?v }
Red and Yellow, Black and White Portrait of Charles Ireland
1 printing techniques and 1 works
action count
action union
action filter_type
action find_reverse
entity United States of America
relation location of final assembly
type printing technique
action filter_type
action find_reverse
entity United States of America
relation location of final assembly
type work
[{'concept': 'printing technique'}, 'location of final assembly', 'United States of America'] [{'concept': 'work'}, 'location of final assembly', 'United States of America']
SELECT DISTINCT ( COUNT ( ?d ) AS ?q ) WHERE { VALUES ( ?v ) { ( ontology:printing_technique ) ( ontology:work ) } . ?d rdf:type ?v }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type
Q303734
P706
Q553036 Q2221906 Q486972
USER
Which human settlements have their location as more number of natural region of Germanys or geographic locations than Aathal ?
(c(Q486972),P706,c(Q553036)|c(Q2221906))
action greater
action union
action find_tuple_counts
relation P706
type Q486972
type Q553036
action find_tuple_counts
relation P706
type Q486972
type Q2221906
action count
action filter_multi_types
action find
entity Q303734
relation P706
type Q553036
type Q2221906
[{'concept': 'Q486972'}, 'P706', [{'concept': 'Q553036'}, {'concept': 'Q2221906'}]]
SELECT DISTINCT ?v WHERE { { SELECT DISTINCT ( COUNT ( ?r ) AS ?q ) ?v WHERE { { ?v property:P706 ?r . ?v rdf:type ontology:Q486972 . ?r rdf:type ontology:Q2221906 } UNION { ?v property:P706 ?r . ?v rdf:type ontology:Q486972 . ?r rdf:type ontology:Q553036 } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?a ) WHERE { resource:Q303734 property:P706 ?s . { ?s rdf:type ?b . VALUES ( ?b ) { ( ontology:Q553036 ) ( ontology:Q2221906 ) } } } } . FILTER ( ?q > ?a ) }
Aathal
action greater
action union
action find_tuple_counts
relation located on terrain feature
type human settlement
type natural region of Germany
action find_tuple_counts
relation located on terrain feature
type human settlement
type geographic location
action count
action filter_multi_types
action find
entity Aathal
relation located on terrain feature
type natural region of Germany
type geographic location
[{'concept': 'human settlement'}, 'located on terrain feature', [{'concept': 'natural region of Germany'}, {'concept': 'geographic location'}]]
SELECT DISTINCT ?v WHERE { { SELECT DISTINCT ( COUNT ( ?r ) AS ?q ) ?v WHERE { { ?v property:located_on_terrain_feature ?r . ?v rdf:type ontology:human_settlement . ?r rdf:type ontology:geographic_location } UNION { ?v property:located_on_terrain_feature ?r . ?v rdf:type ontology:human_settlement . ?r rdf:type ontology:natural_region_of_Germany } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?a ) WHERE { resource:Aathal property:located_on_terrain_feature ?s . { ?s rdf:type ?b . VALUES ( ?b ) { ( ontology:natural_region_of_Germany ) ( ontology:geographic_location ) } } } } . FILTER ( ?q > ?a ) }
[]
natural region of Germany geographic location human settlement
Q82500 Q14805 Q1982027
SYSTEM
St. Pölten, Kaufbeuren, Neuwerk
Q1982027 Q4144268 Q15123377 Q226726 Q82500 Q15058273 Q18028211 Q14805 Q679561 Q2285808 Q1014971
(c(Q486972),P706,c(Q553036)|c(Q2221906))
action greater
action union
action find_tuple_counts
relation P706
type Q486972
type Q553036
action find_tuple_counts
relation P706
type Q486972
type Q2221906
action count
action filter_multi_types
action find
entity Q303734
relation P706
type Q553036
type Q2221906
[ANSWERS] have their location as more number of natural region of Germanys or geographic locations than Aathal
[{'concept': 'Q486972'}, 'P706', [{'concept': 'Q553036'}, {'concept': 'Q2221906'}]]
SELECT DISTINCT ?v WHERE { { SELECT DISTINCT ( COUNT ( ?r ) AS ?q ) ?v WHERE { { ?v property:P706 ?r . ?v rdf:type ontology:Q486972 . ?r rdf:type ontology:Q2221906 } UNION { ?v property:P706 ?r . ?v rdf:type ontology:Q486972 . ?r rdf:type ontology:Q553036 } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?a ) WHERE { resource:Q303734 property:P706 ?s . { ?s rdf:type ?b . VALUES ( ?b ) { ( ontology:Q553036 ) ( ontology:Q2221906 ) } } } } . FILTER ( ?q > ?a ) }
Neuwerk Lerbach Oderberg Zorge St. Pölten Oderbrück Streit (Erlenbach am Main) Kaufbeuren Rübeland Silberhütte Burggrub
St. Pölten, Kaufbeuren and Neuwerk have their location as more number of natural region of Germanys or geographic locations than Aathal
St. Pölten Kaufbeuren Neuwerk
action greater
action union
action find_tuple_counts
relation located on terrain feature
type human settlement
type natural region of Germany
action find_tuple_counts
relation located on terrain feature
type human settlement
type geographic location
action count
action filter_multi_types
action find
entity Aathal
relation located on terrain feature
type natural region of Germany
type geographic location
[{'concept': 'human settlement'}, 'located on terrain feature', [{'concept': 'natural region of Germany'}, {'concept': 'geographic location'}]]
SELECT DISTINCT ?v WHERE { { SELECT DISTINCT ( COUNT ( ?r ) AS ?q ) ?v WHERE { { ?v property:located_on_terrain_feature ?r . ?v rdf:type ontology:human_settlement . ?r rdf:type ontology:geographic_location } UNION { ?v property:located_on_terrain_feature ?r . ?v rdf:type ontology:human_settlement . ?r rdf:type ontology:natural_region_of_Germany } } GROUP BY ?v } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?a ) WHERE { resource:Aathal property:located_on_terrain_feature ?s . { ?s rdf:type ?b . VALUES ( ?b ) { ( ontology:natural_region_of_Germany ) ( ontology:geographic_location ) } } } } . FILTER ( ?q > ?a ) }
[]
Comparative Reasoning (All)
Comparative|More/Less|Mult. entity type
Q192259
P144
Q15416 Q166142 Q11424
USER
Which television programs are less number of applications and films a fork of than CSI: NY ?
(c(Q166142)|c(Q11424),P144,c(Q15416))
action less
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q166142
action find_reverse_tuple_counts
relation P144
type Q15416
type Q11424
action count
action filter_multi_types
action find_reverse
entity Q192259
relation P144
type Q166142
type Q11424
[[{'concept': 'Q166142'}, {'concept': 'Q11424'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) ?l WHERE { VALUES ( ?h ) { ( ontology:Q166142 ) ( ontology:Q11424 ) } . ?n rdf:type ?h } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?j ) WHERE { { ?a rdf:type ?v . VALUES ( ?v ) { ( ontology:Q166142 ) ( ontology:Q11424 ) } } . ?a property:P144 resource:Q192259 } } . FILTER ( ?p < ?j ) }
CSI: NY
action less
action union
action find_reverse_tuple_counts
relation based on
type television program
type application
action find_reverse_tuple_counts
relation based on
type television program
type film
action count
action filter_multi_types
action find_reverse
entity CSI: NY
relation based on
type application
type film
[[{'concept': 'application'}, {'concept': 'film'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) ?l WHERE { VALUES ( ?h ) { ( ontology:application ) ( ontology:film ) } . ?n rdf:type ?h } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?j ) WHERE { { ?a rdf:type ?v . VALUES ( ?v ) { ( ontology:application ) ( ontology:film ) } } . ?a property:based_on resource:CSI:_NY } } . FILTER ( ?p < ?j ) }
[]
television program application film
Q23572 Q7103920 Q83071
SYSTEM
Game of Thrones, Orphan Black, Downton Abbey
Q201358 Q4347124 Q1193168 Q1887148 Q16070164 Q1372163 Q2613769 Q3281746 Q5785110 Q2085782 Q3234798 Q732383 Q1247770 Q4427572 Q715723 Q1166225 Q322015 Q26693418 Q11274015 Q2318552 Q1275157 Q11160398 Q6682512 Q120300 Q3567653 Q464123 Q13923 Q890908 Q697135 Q1072839 Q387943 Q4384432 Q1031065 Q23605 Q139849 Q17091414 Q1368978 Q611100 Q1248747 Q1077 Q1190630 Q811225 Q1192644 Q11622 Q23831 Q212156 Q83071 Q4300886 Q2700478 Q5554642 Q755975 Q23572 Q17104814 Q812805 Q1249333 Q698301 Q1171033 Q7039588 Q130615 Q655271 Q24156458 Q1054760 Q978011 Q2690883 Q451399 Q518589 Q18571935 Q2533572 Q369111 Q2298323 Q732063 Q166845 Q2095183 Q4351904 Q155629 Q7512111 Q506074 Q10292622 Q921889 Q1264983 Q1247907 Q702061 Q1247268 Q6422347 Q484020 Q45717 Q974857 Q6011000 Q3962025 Q649097 Q776608 Q1849170 Q1152081 Q207746 Q1571849 Q4543361 Q1286698 Q4846058 Q23829 Q18608849 Q3853767 Q3527986 Q638590 Q77522 Q13419757 Q3052933 Q1141930 Q1278637 Q2022612 Q280154 Q11275379 Q2553745 Q3234199 Q922713 Q1193499 Q217246 Q7336117 Q461100 Q1982608 Q617274 Q1193889 Q6857960 Q7737672 Q2072832 Q465616 Q1247201 Q1625113 Q390120 Q679623 Q902253 Q586491 Q4982200 Q488652 Q2265954 Q1044635 Q1138953 Q1229047 Q2085 Q3273305 Q245996 Q773202 Q6407502 Q31426 Q33162 Q1156862 Q635933 Q1156866 Q214016 Q272015 Q1211796 Q1894972 Q774834 Q2313956 Q174390 Q3555437 Q2518713 Q152178 Q2634204 Q7711682 Q634199 Q3794953 Q6900695 Q933189 Q990842 Q1623411 Q1400775 Q375062 Q779048 Q714753 Q1312683 Q244511 Q108774 Q617251 Q451943 Q13979 Q203707 Q5990513 Q2293964 Q1203502 Q3784600 Q18469946 Q7103920 Q591029 Q2744 Q4529 Q1193356 Q23623 Q208647 Q4183763 Q1190971 Q344081 Q34316 Q2367132 Q182056 Q1768525 Q956446 Q168708 Q3234630 Q1247495 Q1573292 Q1080682 Q1156849 Q16756 Q202577 Q7497756 Q7340827 Q126631 Q1145002 Q824379 Q366375 Q700127 Q192015 Q1247567 Q20655866 Q7721796 Q742103 Q8963139 Q1156853 Q2985293 Q599309 Q217250 Q1215573 Q53110 Q189350 Q5291435 Q1193512 Q1991960 Q250767 Q752365 Q137034 Q5161696 Q1055984 Q1041541 Q701189 Q536137 Q3311904
(c(Q166142)|c(Q11424),P144,c(Q15416))
action less
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q166142
action find_reverse_tuple_counts
relation P144
type Q15416
type Q11424
action count
action filter_multi_types
action find_reverse
entity Q192259
relation P144
type Q166142
type Q11424
[ANSWERS] are less number of applications and films a fork of than CSI: NY
[[{'concept': 'Q166142'}, {'concept': 'Q11424'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) ?l WHERE { VALUES ( ?h ) { ( ontology:Q166142 ) ( ontology:Q11424 ) } . ?n rdf:type ?h } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?j ) WHERE { { ?a rdf:type ?v . VALUES ( ?v ) { ( ontology:Q166142 ) ( ontology:Q11424 ) } } . ?a property:P144 resource:Q192259 } } . FILTER ( ?p < ?j ) }
The Flintstones Porridge The Equalizer Unsolved Mysteries Cordon Kamen Rider Wizard The Famous Jett Jackson Ti lascio una canzone Contra Las Cuerdas Prisoners of War The Life and Loves of a She-Devil Yes Minister Peter Gunn Soldier Urusei Yatsura Dark Shadows Fifteen to One The Way to Dusty Death Dancing on Ice The Rocky and Bullwinkle Show Matador Z for Zachariah Los Beverly de Peralvillo Crayon Shin-chan Wheel of Fortune The A-Team The Grim Adventures of Billy & Mandy The Jerry Springer Show Bayside Shakedown Doc Martin Tiny Toon Adventures Traffik Underdog Shameless The Suite Life on Deck Nearest and Dearest Liar Game Da Ali G Show Steptoe and Son Star Trek: The Original Series Chōriki Sentai Ohranger Farmer Wants a Wife Kaizoku Sentai Gokaiger Firefly The Office Angel Downton Abbey I Am a Singer Caméra Café Getting On Survivor Game of Thrones series 12 of Strictly Come Dancing BeTipul The Quatermass Experiment Voltron The Burning Bed Sabri Maranan H₂O: Just Add Water Top Cat Maniac Super Sentai The Inbetweeners Real Humans Edge of Darkness Happy Days The Big O Go Ask Alice Mission: Impossible Top Chef Cheers Maverick Fingersmith Big Brother Australia Sesame Street Sightings Family Feud Guerra dos Sexos Johnny Tsunami The Man from U.N.C.L.E. My Favorite Martian Little Lord Fauntleroy Get Smart Knightmare Mr. Bean You're Beautiful Police Squad! In Time with You Sirens Física o Química George and Mildred Reno 911! Tensou Sentai Goseiger Ben 10 Halloweentown The Magicians QI Aquí no hay quien viva The Office Angry Birds Stella The Returned Ti Ti Ti Those Who Kill Winx Club Secret Story Antiques Roadshow Juken Sentai Gekiranger The Wild Wild West Juukou B-Fighter All That Hagure Keiji: Junjōha Fat Albert and the Cosby Kids Hi-5 Whose Line Is It Anyway? Kamen Rider Black RX The Suite Life of Zack & Cody Rising Damp The Restless Years Kamen Rider Charlie's Angels Samurai Sentai Shinkenger Miljoenenjacht The Great British Bake Off Climax! Jackass Batman Rendezvous with Death Torchwood Hyakujuu Sentai Gaoranger Long Way Down Denji Sentai Megaranger Bubble Gang 49 Days Man About the House Bewitched Kyōryū Sentai Zyuranger Teacher's Pet Twin Peaks B-Fighter Kabuto Three's Company Yo soy Betty, la fea Killer Karaoke America's Next Top Model Top Gear Tokusou Sentai Dekaranger The Batman Seijuu Sentai Gingaman 21 Jump Street Ranma ½ The Bridge Mystery Science Theater 3000 Toen Was Geluk Heel Gewoon Twelve Angry Men State of Play Anything Goes Don't Forget Your Toothbrush Glee Un gars, une fille The $1,000,000 Chance of a Lifetime Bottom Robin's Nest Monkey-ed Movies The World of David the Gnome Hallo K3 Who's the Boss? Trailer Park Boys Engine Sentai Go-onger Dead Like Me The Prisoner Nitro Circus Twitches Star Trek: Deep Space Nine Zyuden Sentai Kyoryuger Land of the Lost Saturday Night Live Kim Possible If I Ruled the World RIS Delitti Imperfetti Mahou Sentai Magiranger Hell's Kitchen Vai Que Cola Orphan Black Ninpuu Sentai Hurricaneger The X-Files Veronica Mars Bakuryū Sentai Abaranger Queer as Folk Married... with Children Super Robot Mach Baron Mirai Sentai Timeranger Recess Doctor Who Battlestar Galactica Inuyasha Have I Got News for You The Killing Dallas The Bund Wonder Woman The League of Gentlemen Decalogue II Kyuukyuu Sentai GoGoFive Modern Family Till Death Us Do Part Shinsengumi Keppuroku Robbery Under Arms Hannah Montana The Osbournes Strangers with Candy Good Luck Charlie Science Ninja Team Gatchaman Yu-Gi-Oh! Car 54, Where Are You? Ashura no Gotoku The Cay The Twilight Zone Furor Gekisou Sentai Carranger Who Do You Think You Are? Tenchi Muyo! Camp Rock The Proud Family High School Musical 30 Rock Don't Be Afraid of the Dark Kamen Rider V3 George of the Jungle The Brady Bunch Mad About You The Fugitive Connections House of Cards Yama Onna Kabe Onna Kindaichi Case Files Lost in Space Ana y los 7
Game of Thrones, Orphan Black and Downton Abbey are less number of applications and films a fork of than CSI: NY
Game of Thrones Orphan Black Downton Abbey
action less
action union
action find_reverse_tuple_counts
relation based on
type television program
type application
action find_reverse_tuple_counts
relation based on
type television program
type film
action count
action filter_multi_types
action find_reverse
entity CSI: NY
relation based on
type application
type film
[[{'concept': 'application'}, {'concept': 'film'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?l WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?p ) ?l WHERE { VALUES ( ?h ) { ( ontology:application ) ( ontology:film ) } . ?n rdf:type ?h } GROUP BY ?l } . { SELECT DISTINCT ( COUNT ( ?a ) AS ?j ) WHERE { { ?a rdf:type ?v . VALUES ( ?v ) { ( ontology:application ) ( ontology:film ) } } . ?a property:based_on resource:CSI:_NY } } . FILTER ( ?p < ?j ) }
[]