Simple Question (Direct)
Simple Question
Q6953737
P840
Q56061
USER
Where is NFL Prime Time '98 set in ?
(Q6953737,P840,c(Q56061))
action filter_type
action find
entity Q6953737
relation P840
type Q56061
['Q6953737', 'P840', {'concept': 'Q56061'}]
SELECT DISTINCT ?k WHERE { resource:Q6953737 property:P840 ?k . ?k rdf:type ontology:Q56061 }
NFL Prime Time '98
action filter_type
action find
entity NFL Prime Time '98
relation narrative location
type administrative territorial entity
["NFL Prime Time '98", 'narrative location', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ?k WHERE { resource:NFL_Prime_Time_'98 property:narrative_location ?k . ?k rdf:type ontology:administrative_territorial_entity }
[]
administrative territorial entity
Q61
SYSTEM
Washington, D.C.
Q61
(Q6953737,P840,c(Q56061))
action filter_type
action find
entity Q6953737
relation P840
type Q56061
NFL Prime Time '98 is set in the [ANSWER]
['Q6953737', 'P840', {'concept': 'Q56061'}]
SELECT DISTINCT ?k WHERE { resource:Q6953737 property:P840 ?k . ?k rdf:type ontology:Q56061 }
Washington, D.C.
NFL Prime Time '98 is set in the Washington, D.C.
Washington, D.C.
action filter_type
action find
entity NFL Prime Time '98
relation narrative location
type administrative territorial entity
["NFL Prime Time '98", 'narrative location', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ?k WHERE { resource:NFL_Prime_Time_'98 property:narrative_location ?k . ?k rdf:type ontology:administrative_territorial_entity }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q6953737
P178
Q28640
USER
Who produced that application ?
(Q61,P178,c(Q28640))
action filter_type
action find
entity Q6953737
relation P178
type Q28640
['Q61', 'P178', {'concept': 'Q28640'}]
SELECT DISTINCT ?y WHERE { ?y rdf:type ontology:Q28640 . resource:Q6953737 property:P178 ?y }
NFL Prime Time '98
action filter_type
action find
entity NFL Prime Time '98
relation developer
type profession
['Washington, D.C.', 'developer', {'concept': 'profession'}]
SELECT DISTINCT ?y WHERE { ?y rdf:type ontology:profession . resource:NFL_Prime_Time_'98 property:developer ?y }
[]
profession
Q726675
SYSTEM
FarSight Studios
Q726675
(Q61,P178,c(Q28640))
action filter_type
action find
entity Q6953737
relation P178
type Q28640
[ANSWER] produced that application
['Q61', 'P178', {'concept': 'Q28640'}]
SELECT DISTINCT ?y WHERE { ?y rdf:type ontology:Q28640 . resource:Q6953737 property:P178 ?y }
FarSight Studios
FarSight Studios produced that application
FarSight Studios
action filter_type
action find
entity NFL Prime Time '98
relation developer
type profession
['Washington, D.C.', 'developer', {'concept': 'profession'}]
SELECT DISTINCT ?y WHERE { ?y rdf:type ontology:profession . resource:NFL_Prime_Time_'98 property:developer ?y }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q6953737
P437
Q340169
USER
What was used as the method of distribution of that application ?
(Q726675,P437,c(Q340169))
action filter_type
action find
entity Q6953737
relation P437
type Q340169
['Q726675', 'P437', {'concept': 'Q340169'}]
SELECT DISTINCT ?f WHERE { resource:Q6953737 property:P437 ?f . ?f rdf:type ontology:Q340169 }
NFL Prime Time '98
action filter_type
action find
entity NFL Prime Time '98
relation distribution
type media
['FarSight Studios', 'distribution', {'concept': 'media'}]
SELECT DISTINCT ?f WHERE { resource:NFL_Prime_Time_'98 property:distribution ?f . ?f rdf:type ontology:media }
[]
media
Q633454
SYSTEM
ROM cartridge
Q633454
(Q726675,P437,c(Q340169))
action filter_type
action find
entity Q6953737
relation P437
type Q340169
[ANSWER] was used as the method of distribution of that application
['Q726675', 'P437', {'concept': 'Q340169'}]
SELECT DISTINCT ?f WHERE { resource:Q6953737 property:P437 ?f . ?f rdf:type ontology:Q340169 }
ROM cartridge
ROM cartridge was used as the method of distribution of that application
ROM cartridge
action filter_type
action find
entity NFL Prime Time '98
relation distribution
type media
['FarSight Studios', 'distribution', {'concept': 'media'}]
SELECT DISTINCT ?f WHERE { resource:NFL_Prime_Time_'98 property:distribution ?f . ?f rdf:type ontology:media }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Single entity type
Q61
P190
Q56061
USER
How many administrative territories are sister towns of Washington, D.C. ?
(Q61,P190,c(Q56061))
action count
action filter_type
action find
entity Q61
relation P190
type Q56061
['Q61', 'P190', {'concept': 'Q56061'}]
SELECT DISTINCT ( COUNT ( ?l ) AS ?f ) WHERE { resource:Q61 property:P190 ?l . ?l rdf:type ontology:Q56061 }
Washington, D.C.
action count
action filter_type
action find
entity Washington, D.C.
relation sister city
type administrative territorial entity
['Washington, D.C.', 'sister city', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ( COUNT ( ?l ) AS ?f ) WHERE { resource:Washington,_D.C. property:sister_city ?l . ?l rdf:type ontology:administrative_territorial_entity }
[]
administrative territorial entity
SYSTEM
11
Q3718 Q987 Q3640 Q239 Q3761 Q1861 Q956 Q188304 Q1524 Q1491 Q585
(Q61,P190,c(Q56061))
action count
action filter_type
action find
entity Q61
relation P190
type Q56061
[ANSWER]
['Q61', 'P190', {'concept': 'Q56061'}]
SELECT DISTINCT ( COUNT ( ?l ) AS ?f ) WHERE { resource:Q61 property:P190 ?l . ?l rdf:type ontology:Q56061 }
Dakar New Delhi Ankara Brussels Accra Bangkok Beijing Sunderland Athens La Paz Oslo
11
action count
action filter_type
action find
entity Washington, D.C.
relation sister city
type administrative territorial entity
['Washington, D.C.', 'sister city', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ( COUNT ( ?l ) AS ?f ) WHERE { resource:Washington,_D.C. property:sister_city ?l . ?l rdf:type ontology:administrative_territorial_entity }
[]
Quantitative Reasoning (Count) (All)
Incomplete count-based ques
Q41158
Q56061
USER
And how about Cortina d'Ampezzo?
(Q41158,P190,c(Q56061))
action count
action filter_type
action find
entity Q41158
relation P190
type Q56061
['Q41158', 'P190', {'concept': 'Q56061'}]
SELECT DISTINCT ( COUNT ( ?g ) AS ?h ) WHERE { resource:Q41158 property:P190 ?g . ?g rdf:type ontology:Q56061 }
Cortina d'Ampezzo
action count
action filter_type
action find
entity Cortina d'Ampezzo
relation sister city
type administrative territorial entity
["Cortina d'Ampezzo", 'sister city', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ( COUNT ( ?g ) AS ?h ) WHERE { resource:Cortina_d'Ampezzo property:sister_city ?g . ?g rdf:type ontology:administrative_territorial_entity }
[]
administrative territorial entity
SYSTEM
1
(Q41158,P190,c(Q56061))
action count
action filter_type
action find
entity Q41158
relation P190
type Q56061
[ANSWER]
['Q41158', 'P190', {'concept': 'Q56061'}]
SELECT DISTINCT ( COUNT ( ?g ) AS ?h ) WHERE { resource:Q41158 property:P190 ?g . ?g rdf:type ontology:Q56061 }
1
action count
action filter_type
action find
entity Cortina d'Ampezzo
relation sister city
type administrative territorial entity
["Cortina d'Ampezzo", 'sister city', {'concept': 'administrative territorial entity'}]
SELECT DISTINCT ( COUNT ( ?g ) AS ?h ) WHERE { resource:Cortina_d'Ampezzo property:sister_city ?g . ?g rdf:type ontology:administrative_territorial_entity }
[]
Logical Reasoning (All)
Logical|Intersection|Single_Relation
Q65 Q61
P840
Q15416
USER
Which television programs have a setting location of Washington, D.C. and Los Angeles ?
AND((c(Q15416),P840,Q61), (c(Q15416),P840,Q65))
action filter_type
action intersection
action find_reverse
entity Q61
relation P840
action find_reverse
entity Q65
relation P840
type Q15416
{'AND': [[{'concept': 'Q15416'}, 'P840', 'Q61'], [{'concept': 'Q15416'}, 'P840', 'Q65']]}
SELECT DISTINCT ?u WHERE { ?u property:P840 resource:Q65 . ?u property:P840 resource:Q61 . ?u rdf:type ontology:Q15416 }
Los Angeles Washington, D.C.
action filter_type
action intersection
action find_reverse
entity Washington, D.C.
relation narrative location
action find_reverse
entity Los Angeles
relation narrative location
type television program
{'AND': [[{'concept': 'television program'}, 'narrative location', 'Washington, D.C.'], [{'concept': 'television program'}, 'narrative location', 'Los Angeles']]}
SELECT DISTINCT ?u WHERE { ?u property:narrative_location resource:Los_Angeles . ?u property:narrative_location resource:Washington,_D.C. . ?u rdf:type ontology:television_program }
[]
television program
Q56194 Q1164745 Q3532233
SYSTEM
24, The Event, Torchwood: Miracle Day
Q56194 Q1164745 Q3532233
AND((c(Q15416),P840,Q61), (c(Q15416),P840,Q65))
action filter_type
action intersection
action find_reverse
entity Q61
relation P840
action find_reverse
entity Q65
relation P840
type Q15416
[ANSWERS] have a setting location of Washington, D.C. and Los Angeles
{'AND': [[{'concept': 'Q15416'}, 'P840', 'Q61'], [{'concept': 'Q15416'}, 'P840', 'Q65']]}
SELECT DISTINCT ?u WHERE { ?u property:P840 resource:Q65 . ?u property:P840 resource:Q61 . ?u rdf:type ontology:Q15416 }
24 The Event Torchwood: Miracle Day
24, The Event and Torchwood: Miracle Day have a setting location of Washington, D.C. and Los Angeles
24 The Event Torchwood: Miracle Day
action filter_type
action intersection
action find_reverse
entity Washington, D.C.
relation narrative location
action find_reverse
entity Los Angeles
relation narrative location
type television program
{'AND': [[{'concept': 'television program'}, 'narrative location', 'Washington, D.C.'], [{'concept': 'television program'}, 'narrative location', 'Los Angeles']]}
SELECT DISTINCT ?u WHERE { ?u property:narrative_location resource:Los_Angeles . ?u property:narrative_location resource:Washington,_D.C. . ?u rdf:type ontology:television_program }
[]
Clarification
Quantitative|Count|Logical operators|Indirect
P1441
Q6619679 Q95074
USER
How many fictional humanoids or fictional characters are present in that television program ?
(c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q1164745) (c(Q95074),P1441,Q1164745) (c(Q6619679),P1441,Q3532233) (c(Q95074),P1441,Q3532233)
[{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q1164745'] [{'concept': 'Q95074'}, 'P1441', 'Q1164745'] [{'concept': 'Q6619679'}, 'P1441', 'Q3532233'] [{'concept': 'Q95074'}, 'P1441', 'Q3532233']
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q22192553 } UNION { ?y property:P1441 resource:Q22192553 } UNION { ?z property:P1441 resource:Q3532233 } UNION { ?y property:P1441 resource:Q3532233 } } . ?z rdf:type ontology:Q6619679 . ?y rdf:type ontology:Q95074 }
[{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', 'The Event'] [{'concept': 'fictional character'}, 'present in work', 'The Event'] [{'concept': 'fictional humanoid'}, 'present in work', 'Torchwood: Miracle Day'] [{'concept': 'fictional character'}, 'present in work', 'Torchwood: Miracle Day']
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:The_Event } UNION { ?y property:present_in_work resource:The_Event } UNION { ?z property:present_in_work resource:Torchwood:_Miracle_Day } UNION { ?y property:present_in_work resource:Torchwood:_Miracle_Day } } . ?z rdf:type ontology:fictional_humanoid . ?y rdf:type ontology:fictional_character }
[]
fictional humanoid fictional character
Quantitative|Count|Mult. entity type|Clarification
Q56194
SYSTEM
Did you mean 24 ?
[ANSWER]
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q22192553 } UNION { ?y property:P1441 resource:Q22192553 } UNION { ?z property:P1441 resource:Q3532233 } UNION { ?y property:P1441 resource:Q3532233 } } . ?z rdf:type ontology:Q6619679 . ?y rdf:type ontology:Q95074 }
Did you mean 24 ?
24
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:The_Event } UNION { ?y property:present_in_work resource:The_Event } UNION { ?z property:present_in_work resource:Torchwood:_Miracle_Day } UNION { ?y property:present_in_work resource:Torchwood:_Miracle_Day } } . ?z rdf:type ontology:fictional_humanoid . ?y rdf:type ontology:fictional_character }
[]
Quantitative Reasoning (Count) (All)
USER
Yes
(c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q1164745) (c(Q95074),P1441,Q1164745) (c(Q6619679),P1441,Q3532233) (c(Q95074),P1441,Q3532233)
[{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q1164745'] [{'concept': 'Q95074'}, 'P1441', 'Q1164745'] [{'concept': 'Q6619679'}, 'P1441', 'Q3532233'] [{'concept': 'Q95074'}, 'P1441', 'Q3532233']
[{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', 'The Event'] [{'concept': 'fictional character'}, 'present in work', 'The Event'] [{'concept': 'fictional humanoid'}, 'present in work', 'Torchwood: Miracle Day'] [{'concept': 'fictional character'}, 'present in work', 'Torchwood: Miracle Day']
[]
SYSTEM
50
Q2527732 Q2226353 Q256647 Q9013424 Q3480298 Q14920993 Q941827 Q3322144 Q14921004 Q14921007 Q14921965 Q599546 Q1775253 Q1049347 Q14921546 Q14921467 Q14921235 Q249898 Q3315968 Q14921661 Q2362758 Q4348322 Q781068 Q1095612 Q915212 Q2086344 Q6037389 Q225001 Q3059251 Q10337170 Q2414045 Q6054422 Q5877890 Q10290844 Q5109496 Q2719854 Q9058765 Q656143 Q4348398 Q10326368 Q255537 Q860234 Q3056715 Q24 Q284262 Q14921631 Q9093657 Q3316504 Q9010739 Q4992308
(c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q56194) (c(Q95074),P1441,Q56194) (c(Q6619679),P1441,Q1164745) (c(Q95074),P1441,Q1164745) (c(Q6619679),P1441,Q3532233) (c(Q95074),P1441,Q3532233)
[ANSWER]
[{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q56194'] [{'concept': 'Q95074'}, 'P1441', 'Q56194'] [{'concept': 'Q6619679'}, 'P1441', 'Q1164745'] [{'concept': 'Q95074'}, 'P1441', 'Q1164745'] [{'concept': 'Q6619679'}, 'P1441', 'Q3532233'] [{'concept': 'Q95074'}, 'P1441', 'Q3532233']
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q26451026 } UNION { ?y property:P1441 resource:Q26451026 } UNION { ?z property:P1441 resource:Q22192553 } UNION { ?y property:P1441 resource:Q22192553 } UNION { ?z property:P1441 resource:Q3532233 } UNION { ?y property:P1441 resource:Q3532233 } } . ?z rdf:type ontology:Q6619679 . ?y rdf:type ontology:Q95074 }
Mike Novick Aaron Pierce Chloe O'Brian Josh Bauer Milo Pressman Kevin Carroll Sherry Palmer Phillip Bauer Alexis Drazen Mark DeSalvo Carl Webb Martha Logan Tony Almeida Kim Bauer Habib Marwan Keith Palmer Rick Allen David Palmer Renee Walker Nicole Palmer Ira Gaines Christopher Henderson Audrey Raines Teri Bauer Kate Warner Bill Buchanan Sandra Palmer Edgar Stiles Ethan Kanin Noah Daniels Karen Hayes Tom Lennox George Mason Graem Bauer Curtis Manning Wayne Palmer Peter Kingsley Allison Taylor Vladimir Bierko Marilyn Bauer Michelle Dessler Charles Logan James Heller Jack Bauer Nina Myers Hal Gardner Victor Drazen Morris O'Brian Jamey Farrell Nadia Yassir
50
[{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', '24'] [{'concept': 'fictional character'}, 'present in work', '24'] [{'concept': 'fictional humanoid'}, 'present in work', 'The Event'] [{'concept': 'fictional character'}, 'present in work', 'The Event'] [{'concept': 'fictional humanoid'}, 'present in work', 'Torchwood: Miracle Day'] [{'concept': 'fictional character'}, 'present in work', 'Torchwood: Miracle Day']
SELECT DISTINCT ( COUNT ( ?y ) AS ?x ) WHERE { { { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:24 } UNION { ?y property:present_in_work resource:24 } UNION { ?z property:present_in_work resource:The_Event } UNION { ?y property:present_in_work resource:The_Event } UNION { ?z property:present_in_work resource:Torchwood:_Miracle_Day } UNION { ?y property:present_in_work resource:Torchwood:_Miracle_Day } } . ?z rdf:type ontology:fictional_humanoid . ?y rdf:type ontology:fictional_character }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Mult. entity type
Q61 Q5020057
P30
Q2221906
USER
How many geographic locations are Washington, D.C. or California's 3rd State Senate district located in ?
(Q61,P30,c(Q2221906)) (Q5020057,P30,c(Q2221906))
action count
action union
action filter_type
action find
entity Q61
relation P30
type Q2221906
action filter_type
action find
entity Q5020057
relation P30
type Q2221906
['Q61', 'P30', {'concept': 'Q2221906'}] ['Q5020057', 'P30', {'concept': 'Q2221906'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?m ) WHERE { { resource:Q61 property:P30 ?k . ?k rdf:type ontology:Q2221906 } UNION { resource:Q5020057 property:P30 ?k . ?k rdf:type ontology:Q2221906 } }
Washington, D.C. California's 3rd State Senate district
action count
action union
action filter_type
action find
entity Washington, D.C.
relation continent
type geographic location
action filter_type
action find
entity California's 3rd State Senate district
relation continent
type geographic location
['Washington, D.C.', 'continent', {'concept': 'geographic location'}] ["California's 3rd State Senate district", 'continent', {'concept': 'geographic location'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?m ) WHERE { { resource:Washington,_D.C. property:continent ?k . ?k rdf:type ontology:geographic_location } UNION { resource:California's_3rd_State_Senate_district property:continent ?k . ?k rdf:type ontology:geographic_location } }
[]
geographic location
SYSTEM
2
Q828 Q49
(Q61,P30,c(Q2221906)) (Q5020057,P30,c(Q2221906))
action count
action union
action filter_type
action find
entity Q61
relation P30
type Q2221906
action filter_type
action find
entity Q5020057
relation P30
type Q2221906
[ANSWER]
['Q61', 'P30', {'concept': 'Q2221906'}] ['Q5020057', 'P30', {'concept': 'Q2221906'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?m ) WHERE { { resource:Q61 property:P30 ?k . ?k rdf:type ontology:Q2221906 } UNION { resource:Q5020057 property:P30 ?k . ?k rdf:type ontology:Q2221906 } }
Americas North America
2
action count
action union
action filter_type
action find
entity Washington, D.C.
relation continent
type geographic location
action filter_type
action find
entity California's 3rd State Senate district
relation continent
type geographic location
['Washington, D.C.', 'continent', {'concept': 'geographic location'}] ["California's 3rd State Senate district", 'continent', {'concept': 'geographic location'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?m ) WHERE { { resource:Washington,_D.C. property:continent ?k . ?k rdf:type ontology:geographic_location } UNION { resource:California's_3rd_State_Senate_district property:continent ?k . ?k rdf:type ontology:geographic_location } }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Mult. entity type
P144
Q15416 Q201658 Q15850590
USER
Which television programs do max number of film genres and theatrical genres extend upon ?
(c(Q201658)|c(Q15850590),P144,c(Q15416))
action argmax
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q201658
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
[[{'concept': 'Q201658'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?i WHERE { { SELECT DISTINCT ( MAX ( ?k ) AS ?u ) { SELECT DISTINCT ?x ( COUNT ( ?g ) AS ?k ) WHERE { { ?g property:P144 ?x . ?x rdf:type ontology:Q15416 . ?g rdf:type ontology:Q201658 } UNION { ?g property:P144 ?x . ?x rdf:type ontology:Q15416 . ?g rdf:type ontology:Q15850590 } } GROUP BY ?x } } . { SELECT DISTINCT ?i ( COUNT ( ?w ) AS ?r ) WHERE { { ?w property:P144 ?i . ?i rdf:type ontology:Q15416 . ?w rdf:type ontology:Q201658 } UNION { ?w property:P144 ?i . ?i rdf:type ontology:Q15416 . ?w rdf:type ontology:Q15850590 } } GROUP BY ?i } . FILTER ( ?r = ?u ) }
action argmax
action union
action find_reverse_tuple_counts
relation based on
type television program
type film genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
[[{'concept': 'film genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?i WHERE { { SELECT DISTINCT ( MAX ( ?k ) AS ?u ) { SELECT DISTINCT ?x ( COUNT ( ?g ) AS ?k ) WHERE { { ?g property:based_on ?x . ?x rdf:type ontology:television_program . ?g rdf:type ontology:film_genre } UNION { ?g property:based_on ?x . ?x rdf:type ontology:television_program . ?g rdf:type ontology:theatrical_genre } } GROUP BY ?x } } . { SELECT DISTINCT ?i ( COUNT ( ?w ) AS ?r ) WHERE { { ?w property:based_on ?i . ?i rdf:type ontology:television_program . ?w rdf:type ontology:film_genre } UNION { ?w property:based_on ?i . ?i rdf:type ontology:television_program . ?w rdf:type ontology:theatrical_genre } } GROUP BY ?i } . FILTER ( ?r = ?u ) }
[]
television program film genre theatrical genre
Q155629 Q1275157 Q518589
SYSTEM
Sesame Street, Matador, Happy Days
Q1275157 Q890908 Q698301 Q518589 Q155629
(c(Q201658)|c(Q15850590),P144,c(Q15416))
action argmax
action union
action find_reverse_tuple_counts
relation P144
type Q15416
type Q201658
action find_reverse_tuple_counts
relation P144
type Q15416
type Q15850590
[ANSWERS]
[[{'concept': 'Q201658'}, {'concept': 'Q15850590'}], 'P144', {'concept': 'Q15416'}]
SELECT DISTINCT ?i WHERE { { SELECT DISTINCT ( MAX ( ?k ) AS ?u ) { SELECT DISTINCT ?x ( COUNT ( ?g ) AS ?k ) WHERE { { ?g property:P144 ?x . ?x rdf:type ontology:Q15416 . ?g rdf:type ontology:Q201658 } UNION { ?g property:P144 ?x . ?x rdf:type ontology:Q15416 . ?g rdf:type ontology:Q15850590 } } GROUP BY ?x } } . { SELECT DISTINCT ?i ( COUNT ( ?w ) AS ?r ) WHERE { { ?w property:P144 ?i . ?i rdf:type ontology:Q15416 . ?w rdf:type ontology:Q201658 } UNION { ?w property:P144 ?i . ?i rdf:type ontology:Q15416 . ?w rdf:type ontology:Q15850590 } } GROUP BY ?i } . FILTER ( ?r = ?u ) }
Matador The Jerry Springer Show Voltron Happy Days Sesame Street
Which television programs max number of film genres and theatrical genres extend upon
Sesame Street Matador Happy Days
action argmax
action union
action find_reverse_tuple_counts
relation based on
type television program
type film genre
action find_reverse_tuple_counts
relation based on
type television program
type theatrical genre
[[{'concept': 'film genre'}, {'concept': 'theatrical genre'}], 'based on', {'concept': 'television program'}]
SELECT DISTINCT ?i WHERE { { SELECT DISTINCT ( MAX ( ?k ) AS ?u ) { SELECT DISTINCT ?x ( COUNT ( ?g ) AS ?k ) WHERE { { ?g property:based_on ?x . ?x rdf:type ontology:television_program . ?g rdf:type ontology:film_genre } UNION { ?g property:based_on ?x . ?x rdf:type ontology:television_program . ?g rdf:type ontology:theatrical_genre } } GROUP BY ?x } } . { SELECT DISTINCT ?i ( COUNT ( ?w ) AS ?r ) WHERE { { ?w property:based_on ?i . ?i rdf:type ontology:television_program . ?w rdf:type ontology:film_genre } UNION { ?w property:based_on ?i . ?i rdf:type ontology:television_program . ?w rdf:type ontology:theatrical_genre } } GROUP BY ?i } . FILTER ( ?r = ?u ) }
[]
Logical Reasoning (All)
Logical|Union|Single_Relation
Q1757876 Q6953737
P400
Q241317
USER
Which computing platforms are the specific platforms for which NFL Prime Time '98 or Tomb Raider were released ?
OR((Q6953737,P400,c(Q241317)), (Q1757876,P400,c(Q241317)))
action filter_type
action union
action find
entity Q6953737
relation P400
action find
entity Q1757876
relation P400
type Q241317
{'OR': [['Q6953737', 'P400', {'concept': 'Q241317'}], ['Q1757876', 'P400', {'concept': 'Q241317'}]]}
SELECT DISTINCT ?o WHERE { { VALUES ( ?p ) { ( resource:Q6953737 ) ( resource:Q1757876 ) } . ?p property:P400 ?o } . ?o rdf:type ontology:Q241317 }
Tomb Raider NFL Prime Time '98
action filter_type
action union
action find
entity NFL Prime Time '98
relation platform
action find
entity Tomb Raider
relation platform
type computing platform
{'OR': [["NFL Prime Time '98", 'platform', {'concept': 'computing platform'}], ['Tomb Raider', 'platform', {'concept': 'computing platform'}]]}
SELECT DISTINCT ?o WHERE { { VALUES ( ?p ) { ( resource:NFL_Prime_Time_'98 ) ( resource:Tomb_Raider ) } . ?p property:platform ?o } . ?o rdf:type ontology:computing_platform }
[]
computing platform
Q13361286 Q10676 Q5014725 Q48263 Q10683
SYSTEM
Xbox One, Sega Genesis, PlayStation 4, Xbox 360, PlayStation 3
Q13361286 Q10676 Q5014725 Q48263 Q10683
OR((Q6953737,P400,c(Q241317)), (Q1757876,P400,c(Q241317)))
action filter_type
action union
action find
entity Q6953737
relation P400
action find
entity Q1757876
relation P400
type Q241317
[ANSWERS] are the specific platforms for which NFL Prime Time '98 or Tomb Raider were released
{'OR': [['Q6953737', 'P400', {'concept': 'Q241317'}], ['Q1757876', 'P400', {'concept': 'Q241317'}]]}
SELECT DISTINCT ?o WHERE { { VALUES ( ?p ) { ( resource:Q6953737 ) ( resource:Q1757876 ) } . ?p property:P400 ?o } . ?o rdf:type ontology:Q241317 }
Xbox One Sega Genesis PlayStation 4 Xbox 360 PlayStation 3
Xbox One, Sega Genesis, PlayStation 4, Xbox 360 and PlayStation 3 are the specific platforms for which NFL Prime Time '98 or Tomb Raider were released
Xbox One Sega Genesis PlayStation 4 Xbox 360 PlayStation 3
action filter_type
action union
action find
entity NFL Prime Time '98
relation platform
action find
entity Tomb Raider
relation platform
type computing platform
{'OR': [["NFL Prime Time '98", 'platform', {'concept': 'computing platform'}], ['Tomb Raider', 'platform', {'concept': 'computing platform'}]]}
SELECT DISTINCT ?o WHERE { { VALUES ( ?p ) { ( resource:NFL_Prime_Time_'98 ) ( resource:Tomb_Raider ) } . ?p property:platform ?o } . ?o rdf:type ontology:computing_platform }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Mult. entity type
Q2529000
P1441
Q166142 Q6619679 Q15707583
USER
How many applications are approximately the same number of fictional humanoids or fictional taxons present in as EarthBound ?
(c(Q6619679)|c(Q15707583),P1441,c(Q166142))
action count
action approx
action union
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q6619679
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q15707583
action count
action filter_multi_types
action find_reverse
entity Q2529000
relation P1441
type Q6619679
type Q15707583
[[{'concept': 'Q6619679'}, {'concept': 'Q15707583'}], 'P1441', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?f ) AS ?q ) WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?v ) ?f WHERE { { ?f rdf:type ontology:Q166142 . ?n rdf:type ontology:Q6619679 . ?n property:P1441 ?f } UNION { ?f rdf:type ontology:Q166142 . ?n rdf:type ontology:Q15707583 . ?n property:P1441 ?f } } GROUP BY ?f } . { SELECT DISTINCT ( COUNT ( ?h ) AS ?o ) WHERE { { { ?h rdf:type ontology:Q6619679 } UNION { ?h rdf:type ontology:Q15707583 } } . ?h property:P1441 resource:Q2529000 } } . FILTER ( ?v = ?o ) }
EarthBound
action count
action approx
action union
action find_reverse_tuple_counts
relation present in work
type application
type fictional humanoid
action find_reverse_tuple_counts
relation present in work
type application
type fictional taxon
action count
action filter_multi_types
action find_reverse
entity EarthBound
relation present in work
type fictional humanoid
type fictional taxon
[[{'concept': 'fictional humanoid'}, {'concept': 'fictional taxon'}], 'present in work', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?f ) AS ?q ) WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?v ) ?f WHERE { { ?f rdf:type ontology:application . ?n rdf:type ontology:fictional_humanoid . ?n property:present_in_work ?f } UNION { ?f rdf:type ontology:application . ?n rdf:type ontology:fictional_taxon . ?n property:present_in_work ?f } } GROUP BY ?f } . { SELECT DISTINCT ( COUNT ( ?h ) AS ?o ) WHERE { { { ?h rdf:type ontology:fictional_humanoid } UNION { ?h rdf:type ontology:fictional_taxon } } . ?h property:present_in_work resource:EarthBound } } . FILTER ( ?v = ?o ) }
[]
application fictional humanoid fictional taxon
SYSTEM
221
Q2227411 Q20737889 Q24807006 Q2278874 Q2422795 Q853143 Q8262784 Q20155508 Q804859 Q1203242 Q279744 Q2252689 Q867003 Q733992 Q207948 Q94671 Q239889 Q1045765 Q2468992 Q645494 Q1050284 Q2351827 Q94501 Q11955503 Q1075123 Q816034 Q1139501 Q3062745 Q576283 Q18515944 Q753511 Q2498436 Q14917711 Q737308 Q55263 Q83265 Q791569 Q1628944 Q938360 Q23008476 Q1154227 Q549217 Q2564684 Q1142888 Q323862 Q2985769 Q2769164 Q576673 Q1035512 Q1187259 Q1052131 Q1783005 Q2985765 Q2985766 Q619694 Q840889 Q17146 Q644793 Q2081133 Q252198 Q239288 Q3282014 Q756856 Q4045284 Q55216 Q244033 Q721822 Q641697 Q573779 Q1129452 Q611189 Q775543 Q2081625 Q94640 Q275950 Q609063 Q6930104 Q2337280 Q16681843 Q161202 Q18536861 Q2456265 Q20538677 Q18951 Q1042119 Q1050387 Q390595 Q17150 Q3007751 Q223341 Q843131 Q2985761 Q16773658 Q11168 Q6129973 Q1341921 Q27863 Q1217501 Q761815 Q2393985 Q2627580 Q17166292 Q13218187 Q2155150 Q55295 Q1195880 Q225912 Q2132978 Q860291 Q2601047 Q12384 Q936423 Q244030 Q3306157 Q788134 Q26898078 Q1137949 Q16866101 Q247935 Q131007 Q2529000 Q1317811 Q15139655 Q3534834 Q20874880 Q1050849 Q751936 Q642107 Q2080333 Q1321249 Q583601 Q17138 Q2617580 Q1193556 Q19772510 Q1121317 Q15073096 Q629577 Q2465393 Q725902 Q336177 Q862524 Q277021 Q840167 Q94797 Q214232 Q380918 Q94778 Q279446 Q3024287 Q1226632 Q1050081 Q2067832 Q2211920 Q4564573 Q3233480 Q817369 Q1287714 Q3397859 Q165929 Q1037042 Q20792287 Q13427106 Q13576375 Q1180815 Q2045645 Q1195150 Q735613 Q16267529 Q54862 Q281110 Q55254 Q1194920 Q736528 Q1330234 Q11955502 Q55315 Q54297 Q1070821 Q637137 Q736040 Q24300 Q1141946 Q2736150 Q846167 Q798519 Q959892 Q1346174 Q207885 Q161188 Q531552 Q2632057 Q553308 Q1346365 Q1328166 Q157387 Q2522391 Q946795 Q2716211 Q129277 Q2633628 Q1988120 Q15361287 Q2141683 Q837346 Q22954794 Q220960 Q496526 Q2298167 Q275960 Q2383167 Q741244 Q213911 Q600707 Q49740 Q17452 Q26898075 Q1175156 Q979080 Q74669 Q149106
(c(Q6619679)|c(Q15707583),P1441,c(Q166142))
action count
action approx
action union
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q6619679
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q15707583
action count
action filter_multi_types
action find_reverse
entity Q2529000
relation P1441
type Q6619679
type Q15707583
[ANSWER]
[[{'concept': 'Q6619679'}, {'concept': 'Q15707583'}], 'P1441', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?f ) AS ?q ) WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?v ) ?f WHERE { { ?f rdf:type ontology:Q166142 . ?n rdf:type ontology:Q6619679 . ?n property:P1441 ?f } UNION { ?f rdf:type ontology:Q166142 . ?n rdf:type ontology:Q15707583 . ?n property:P1441 ?f } } GROUP BY ?f } . { SELECT DISTINCT ( COUNT ( ?h ) AS ?o ) WHERE { { { ?h rdf:type ontology:Q6619679 } UNION { ?h rdf:type ontology:Q15707583 } } . ?h property:P1441 resource:Q2529000 } } . FILTER ( ?v = ?o ) }
Sly Cooper Mafia III Deus Ex Go Neverwinter Nights 2: Mask of the Betrayer Street Fighter Alpha 2 Super Mario World Hearthstone: Heroes of Warcraft Touken Ranbu Baldur's Gate II: Shadows of Amn The Matrix: Path of Neo Half-Life God of War II Fairy Wars Resident Evil 2 Warcraft III: Reign of Chaos Grand Theft Auto: Vice City Hitman: Blood Money Super Mario World 2: Yoshi's Island Freshly-Picked Tingle's Rosy Rupeeland Pokémon Diamond and Pearl Resident Evil Code: Veronica Pokémon Crystal Grand Theft Auto Yoshi's Woolly World The Embodiment of Scarlet Devil Pokémon Black and White Scarface: The World Is Yours Eye of the Beholder III: Assault on Myth Drannor Infamous: Festival of Blood Overwatch Mass Effect 3 Leisure Suit Larry III: Passionate Patti in Pursuit of the Pulsating Pectorals Diablo III: Reaper of Souls Star Wars: The Old Republic Star Wars: Shadows of the Empire Grand Theft Auto: San Andreas Bayonetta Neverwinter Nights Commander Keen The Legend of Zelda: Twilight Princess HD Pokémon Platinum Neverwinter Nights Donkey Kong Super Mario 64 DS The Elder Scrolls V: Skyrim Commander Keen Episode 2: The Earth Explodes Pokémon X and Y 007 Racing Danganronpa: Trigger Happy Havoc Pokémon Ranger: Guardian Signs Super Smash Bros. Melee 007: From Russia with Love Commander Keen Episode One: Marooned on Mars Commander Keen Episode 3: Keen Must Die! Pokémon Black and White 2 Devil May Cry Uncharted 2: Among Thieves Deus Ex Street Fighter Alpha Deus Ex: Invisible War StarCraft II: Wings of Liberty Ms. Pac-Man Maze Madness Hitman: Codename 47 Neverwinter Lego Star Wars: The Video Game Diablo II Pokémon Ruby and Sapphire Red Dead Revolver God of War: Ghost of Sparta God of War III Pokémon HeartGold and SoulSilver Mortal Kombat: Deadly Alliance James Bond 007: Blood Stone Grand Theft Auto: Vice City Stories Resident Evil 4 Pokémon FireRed and LeafGreen Ms. Pac-Man: Quest for the Golden Maze Yoshi's Story Uncharted 4: A Thief's End James Bond 007: Everything or Nothing Life Is Strange Pokémon Ranger: Shadows of Almia Sword Coast Legends Half-Life 2: Episode One Perfect Cherry Blossom Shoot the Bullet Final Fantasy XIII Uncharted: Drake's Fortune Curse of the Azure Bonds League of Legends Super Smash Bros. Brawl Commander Keen Episode 4: The Secret of the Oracle Pokémon Omega Ruby and Alpha Sapphire Super Mario Bros. James Bond 007 God of War: Chains of Olympus Sword Art Online The World Is Not Enough Chrono Trigger Mario vs. Donkey Kong: Minis March Again! Marvel: Ultimate Alliance 2 Code Name: S.T.E.A.M. Double Dealing Character Lightning Returns: Final Fantasy XIII Star Wars Jedi Knight: Jedi Academy Tomorrow Never Dies Kingdom Hearts Mario vs. Donkey Kong 2: March of the Minis Warcraft II: Beyond the Dark Portal Final Fight 3 Donkey Kong Neverwinter Nights: Hordes of the Underdark Diablo III Menzoberranzan Marvel vs. Capcom 3: Fate of Two Worlds Pokémon Moon Icewind Dale Impossible Spell Card Metal Gear Solid 3: Snake Eater World of Warcraft EarthBound Mortal Kombat: Deception Heroes of the Storm Socks the Cat Rocks the Hill Roland Goes Digging Phantasmagoria of Flower View Devil May Cry 4 Deus Ex: Human Revolution Scott Pilgrim vs. the World: The Game Final Fight 2 Devil May Cry 2 Uncharted 3: Drake's Deception Baldur's Gate: Tales of the Sword Coast Yoshi's Island DS Deus Ex: Mankind Divided Ehrgeiz Drakengard 3 Neverwinter Nights 2 Neverwinter Nights 2: Storm of Zehir Star Wars: Knights of the Old Republic EVE Online Harry Potter and the Half-Blood Prince A Certain Magical Index Star Wars: The Force Unleashed Grand Theft Auto IV Final Fantasy VII Call of Duty: Black Ops II Grand Theft Auto: Liberty City Stories Portal 2 Descent to Undermountain Dino Crisis Touhou Hisōtensoku Soulcalibur II Pool of Radiance: Ruins of Myth Drannor Garfield Bayonetta 2 God of War Xenoblade Chronicles Pools of Darkness StarCraft Hitman 2: Silent Assassin Kharé: Cityport of Traps Mario Kart 8 Tingle's Balloon Fight DS Dead Island Pokémon Emerald Super Smash Bros. for Nintendo 3DS and Wii U The Legend of Zelda: Twilight Princess Baldur's Gate II: Enhanced Edition Star Wars Battlefront Kingdom Hearts Birth by Sleep Star Wars: Force Commander Star Wars: Galactic Battlegrounds Enter the Matrix Pokémon Ranger Yoshi's New Island Star Wars: Empire at War Star Wars: Rogue Squadron 007: Quantum of Solace Pokémon Red and Blue Max Payne 3 Infamous 2 Final Fight Yoshi's Universal Gravitation Metal Gear Solid 4: Guns of the Patriots Mission: Impossible The Matrix Online Infamous Warcraft: Orcs & Humans James Bond 007: Nightfire Angel Beats! Yoshi Touch & Go Half-Life 2: Episode Two Star Fox Command WALL-E Prince of Persia Metal Gear Solid V: The Phantom Pain Max Payne 2: The Fall of Max Payne Yoshi's Safari Hitman: Absolution Street Fighter Alpha 3 Pokémon Yellow Hyrule Warriors Ms. Pac-Man Pokémon Gold and Silver Pokémon Sun and Moon Diablo Tales of Symphonia God of War: Ascension Mass Effect Mother 3 Warcraft III: The Frozen Throne The Legend of Zelda: Ocarina of Time Hitman: Contracts Minecraft Grand Theft Auto V Pokémon Sun Max Payne Bolt STAR WARS Knights of the Old Republic II - The Sith Lords Grand Theft Auto III
221
action count
action approx
action union
action find_reverse_tuple_counts
relation present in work
type application
type fictional humanoid
action find_reverse_tuple_counts
relation present in work
type application
type fictional taxon
action count
action filter_multi_types
action find_reverse
entity EarthBound
relation present in work
type fictional humanoid
type fictional taxon
[[{'concept': 'fictional humanoid'}, {'concept': 'fictional taxon'}], 'present in work', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?f ) AS ?q ) WHERE { { SELECT DISTINCT ( COUNT ( ?n ) AS ?v ) ?f WHERE { { ?f rdf:type ontology:application . ?n rdf:type ontology:fictional_humanoid . ?n property:present_in_work ?f } UNION { ?f rdf:type ontology:application . ?n rdf:type ontology:fictional_taxon . ?n property:present_in_work ?f } } GROUP BY ?f } . { SELECT DISTINCT ( COUNT ( ?h ) AS ?o ) WHERE { { { ?h rdf:type ontology:fictional_humanoid } UNION { ?h rdf:type ontology:fictional_taxon } } . ?h property:present_in_work resource:EarthBound } } . FILTER ( ?v = ?o ) }
[]
Comparative Reasoning (Count) (All)
Comparative|Count over More/Less|Mult. entity type|Incomplete
Q791569
P1441
Q166142 Q6619679 Q15707583
USER
And also tell me about Bayonetta?
(c(Q6619679)|c(Q15707583),P1441,c(Q166142))
action count
action approx
action union
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q6619679
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q15707583
action count
action filter_multi_types
action find_reverse
entity Q791569
relation P1441
type Q6619679
type Q15707583
[[{'concept': 'Q6619679'}, {'concept': 'Q15707583'}], 'P1441', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?r ) WHERE { { SELECT DISTINCT ?k ( COUNT ( ?n ) AS ?o ) WHERE { VALUES ( ?w ) { ( ontology:Q6619679 ) ( ontology:Q15707583 ) } . ?n rdf:type ?w } GROUP BY ?k } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?p ) WHERE { ?s property:P1441 resource:Q791569 . { { ?s rdf:type ontology:Q6619679 } UNION { ?s rdf:type ontology:Q15707583 } } } } . FILTER ( ?o = ?p ) }
Bayonetta
action count
action approx
action union
action find_reverse_tuple_counts
relation present in work
type application
type fictional humanoid
action find_reverse_tuple_counts
relation present in work
type application
type fictional taxon
action count
action filter_multi_types
action find_reverse
entity Bayonetta
relation present in work
type fictional humanoid
type fictional taxon
[[{'concept': 'fictional humanoid'}, {'concept': 'fictional taxon'}], 'present in work', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?r ) WHERE { { SELECT DISTINCT ?k ( COUNT ( ?n ) AS ?o ) WHERE { VALUES ( ?w ) { ( ontology:fictional_humanoid ) ( ontology:fictional_taxon ) } . ?n rdf:type ?w } GROUP BY ?k } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?p ) WHERE { ?s property:present_in_work resource:Bayonetta . { { ?s rdf:type ontology:fictional_humanoid } UNION { ?s rdf:type ontology:fictional_taxon } } } } . FILTER ( ?o = ?p ) }
[]
application fictional humanoid fictional taxon
SYSTEM
221
Q2227411 Q20737889 Q24807006 Q2278874 Q2422795 Q853143 Q8262784 Q20155508 Q804859 Q1203242 Q279744 Q2252689 Q867003 Q733992 Q207948 Q94671 Q239889 Q1045765 Q2468992 Q645494 Q1050284 Q2351827 Q94501 Q11955503 Q1075123 Q816034 Q1139501 Q3062745 Q576283 Q18515944 Q753511 Q2498436 Q14917711 Q737308 Q55263 Q83265 Q791569 Q1628944 Q938360 Q23008476 Q1154227 Q549217 Q2564684 Q1142888 Q323862 Q2985769 Q2769164 Q576673 Q1035512 Q1187259 Q1052131 Q1783005 Q2985765 Q2985766 Q619694 Q840889 Q17146 Q644793 Q2081133 Q252198 Q239288 Q3282014 Q756856 Q4045284 Q55216 Q244033 Q721822 Q641697 Q573779 Q1129452 Q611189 Q775543 Q2081625 Q94640 Q275950 Q609063 Q6930104 Q2337280 Q16681843 Q161202 Q18536861 Q2456265 Q20538677 Q18951 Q1042119 Q1050387 Q390595 Q17150 Q3007751 Q223341 Q843131 Q2985761 Q16773658 Q11168 Q6129973 Q1341921 Q27863 Q1217501 Q761815 Q2393985 Q2627580 Q17166292 Q13218187 Q2155150 Q55295 Q1195880 Q225912 Q2132978 Q860291 Q2601047 Q12384 Q936423 Q244030 Q3306157 Q788134 Q26898078 Q1137949 Q16866101 Q247935 Q131007 Q2529000 Q1317811 Q15139655 Q3534834 Q20874880 Q1050849 Q751936 Q642107 Q2080333 Q1321249 Q583601 Q17138 Q2617580 Q1193556 Q19772510 Q1121317 Q15073096 Q629577 Q2465393 Q725902 Q336177 Q862524 Q277021 Q840167 Q94797 Q214232 Q380918 Q94778 Q279446 Q3024287 Q1226632 Q1050081 Q2067832 Q2211920 Q4564573 Q3233480 Q817369 Q1287714 Q3397859 Q165929 Q1037042 Q20792287 Q13427106 Q13576375 Q1180815 Q2045645 Q1195150 Q735613 Q16267529 Q54862 Q281110 Q55254 Q1194920 Q736528 Q1330234 Q11955502 Q55315 Q54297 Q1070821 Q637137 Q736040 Q24300 Q1141946 Q2736150 Q846167 Q798519 Q959892 Q1346174 Q207885 Q161188 Q531552 Q2632057 Q553308 Q1346365 Q1328166 Q157387 Q2522391 Q946795 Q2716211 Q129277 Q2633628 Q1988120 Q15361287 Q2141683 Q837346 Q22954794 Q220960 Q496526 Q2298167 Q275960 Q2383167 Q741244 Q213911 Q600707 Q49740 Q17452 Q26898075 Q1175156 Q979080 Q74669 Q149106
(c(Q6619679)|c(Q15707583),P1441,c(Q166142))
action count
action approx
action union
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q6619679
action find_reverse_tuple_counts
relation P1441
type Q166142
type Q15707583
action count
action filter_multi_types
action find_reverse
entity Q791569
relation P1441
type Q6619679
type Q15707583
[ANSWER]
[[{'concept': 'Q6619679'}, {'concept': 'Q15707583'}], 'P1441', {'concept': 'Q166142'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?r ) WHERE { { SELECT DISTINCT ?k ( COUNT ( ?n ) AS ?o ) WHERE { VALUES ( ?w ) { ( ontology:Q6619679 ) ( ontology:Q15707583 ) } . ?n rdf:type ?w } GROUP BY ?k } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?p ) WHERE { ?s property:P1441 resource:Q791569 . { { ?s rdf:type ontology:Q6619679 } UNION { ?s rdf:type ontology:Q15707583 } } } } . FILTER ( ?o = ?p ) }
Sly Cooper Mafia III Deus Ex Go Neverwinter Nights 2: Mask of the Betrayer Street Fighter Alpha 2 Super Mario World Hearthstone: Heroes of Warcraft Touken Ranbu Baldur's Gate II: Shadows of Amn The Matrix: Path of Neo Half-Life God of War II Fairy Wars Resident Evil 2 Warcraft III: Reign of Chaos Grand Theft Auto: Vice City Hitman: Blood Money Super Mario World 2: Yoshi's Island Freshly-Picked Tingle's Rosy Rupeeland Pokémon Diamond and Pearl Resident Evil Code: Veronica Pokémon Crystal Grand Theft Auto Yoshi's Woolly World The Embodiment of Scarlet Devil Pokémon Black and White Scarface: The World Is Yours Eye of the Beholder III: Assault on Myth Drannor Infamous: Festival of Blood Overwatch Mass Effect 3 Leisure Suit Larry III: Passionate Patti in Pursuit of the Pulsating Pectorals Diablo III: Reaper of Souls Star Wars: The Old Republic Star Wars: Shadows of the Empire Grand Theft Auto: San Andreas Bayonetta Neverwinter Nights Commander Keen The Legend of Zelda: Twilight Princess HD Pokémon Platinum Neverwinter Nights Donkey Kong Super Mario 64 DS The Elder Scrolls V: Skyrim Commander Keen Episode 2: The Earth Explodes Pokémon X and Y 007 Racing Danganronpa: Trigger Happy Havoc Pokémon Ranger: Guardian Signs Super Smash Bros. Melee 007: From Russia with Love Commander Keen Episode One: Marooned on Mars Commander Keen Episode 3: Keen Must Die! Pokémon Black and White 2 Devil May Cry Uncharted 2: Among Thieves Deus Ex Street Fighter Alpha Deus Ex: Invisible War StarCraft II: Wings of Liberty Ms. Pac-Man Maze Madness Hitman: Codename 47 Neverwinter Lego Star Wars: The Video Game Diablo II Pokémon Ruby and Sapphire Red Dead Revolver God of War: Ghost of Sparta God of War III Pokémon HeartGold and SoulSilver Mortal Kombat: Deadly Alliance James Bond 007: Blood Stone Grand Theft Auto: Vice City Stories Resident Evil 4 Pokémon FireRed and LeafGreen Ms. Pac-Man: Quest for the Golden Maze Yoshi's Story Uncharted 4: A Thief's End James Bond 007: Everything or Nothing Life Is Strange Pokémon Ranger: Shadows of Almia Sword Coast Legends Half-Life 2: Episode One Perfect Cherry Blossom Shoot the Bullet Final Fantasy XIII Uncharted: Drake's Fortune Curse of the Azure Bonds League of Legends Super Smash Bros. Brawl Commander Keen Episode 4: The Secret of the Oracle Pokémon Omega Ruby and Alpha Sapphire Super Mario Bros. James Bond 007 God of War: Chains of Olympus Sword Art Online The World Is Not Enough Chrono Trigger Mario vs. Donkey Kong: Minis March Again! Marvel: Ultimate Alliance 2 Code Name: S.T.E.A.M. Double Dealing Character Lightning Returns: Final Fantasy XIII Star Wars Jedi Knight: Jedi Academy Tomorrow Never Dies Kingdom Hearts Mario vs. Donkey Kong 2: March of the Minis Warcraft II: Beyond the Dark Portal Final Fight 3 Donkey Kong Neverwinter Nights: Hordes of the Underdark Diablo III Menzoberranzan Marvel vs. Capcom 3: Fate of Two Worlds Pokémon Moon Icewind Dale Impossible Spell Card Metal Gear Solid 3: Snake Eater World of Warcraft EarthBound Mortal Kombat: Deception Heroes of the Storm Socks the Cat Rocks the Hill Roland Goes Digging Phantasmagoria of Flower View Devil May Cry 4 Deus Ex: Human Revolution Scott Pilgrim vs. the World: The Game Final Fight 2 Devil May Cry 2 Uncharted 3: Drake's Deception Baldur's Gate: Tales of the Sword Coast Yoshi's Island DS Deus Ex: Mankind Divided Ehrgeiz Drakengard 3 Neverwinter Nights 2 Neverwinter Nights 2: Storm of Zehir Star Wars: Knights of the Old Republic EVE Online Harry Potter and the Half-Blood Prince A Certain Magical Index Star Wars: The Force Unleashed Grand Theft Auto IV Final Fantasy VII Call of Duty: Black Ops II Grand Theft Auto: Liberty City Stories Portal 2 Descent to Undermountain Dino Crisis Touhou Hisōtensoku Soulcalibur II Pool of Radiance: Ruins of Myth Drannor Garfield Bayonetta 2 God of War Xenoblade Chronicles Pools of Darkness StarCraft Hitman 2: Silent Assassin Kharé: Cityport of Traps Mario Kart 8 Tingle's Balloon Fight DS Dead Island Pokémon Emerald Super Smash Bros. for Nintendo 3DS and Wii U The Legend of Zelda: Twilight Princess Baldur's Gate II: Enhanced Edition Star Wars Battlefront Kingdom Hearts Birth by Sleep Star Wars: Force Commander Star Wars: Galactic Battlegrounds Enter the Matrix Pokémon Ranger Yoshi's New Island Star Wars: Empire at War Star Wars: Rogue Squadron 007: Quantum of Solace Pokémon Red and Blue Max Payne 3 Infamous 2 Final Fight Yoshi's Universal Gravitation Metal Gear Solid 4: Guns of the Patriots Mission: Impossible The Matrix Online Infamous Warcraft: Orcs & Humans James Bond 007: Nightfire Angel Beats! Yoshi Touch & Go Half-Life 2: Episode Two Star Fox Command WALL-E Prince of Persia Metal Gear Solid V: The Phantom Pain Max Payne 2: The Fall of Max Payne Yoshi's Safari Hitman: Absolution Street Fighter Alpha 3 Pokémon Yellow Hyrule Warriors Ms. Pac-Man Pokémon Gold and Silver Pokémon Sun and Moon Diablo Tales of Symphonia God of War: Ascension Mass Effect Mother 3 Warcraft III: The Frozen Throne The Legend of Zelda: Ocarina of Time Hitman: Contracts Minecraft Grand Theft Auto V Pokémon Sun Max Payne Bolt STAR WARS Knights of the Old Republic II - The Sith Lords Grand Theft Auto III
221
action count
action approx
action union
action find_reverse_tuple_counts
relation present in work
type application
type fictional humanoid
action find_reverse_tuple_counts
relation present in work
type application
type fictional taxon
action count
action filter_multi_types
action find_reverse
entity Bayonetta
relation present in work
type fictional humanoid
type fictional taxon
[[{'concept': 'fictional humanoid'}, {'concept': 'fictional taxon'}], 'present in work', {'concept': 'application'}]
SELECT DISTINCT ( COUNT ( ?k ) AS ?r ) WHERE { { SELECT DISTINCT ?k ( COUNT ( ?n ) AS ?o ) WHERE { VALUES ( ?w ) { ( ontology:fictional_humanoid ) ( ontology:fictional_taxon ) } . ?n rdf:type ?w } GROUP BY ?k } . { SELECT DISTINCT ( COUNT ( ?s ) AS ?p ) WHERE { ?s property:present_in_work resource:Bayonetta . { { ?s rdf:type ontology:fictional_humanoid } UNION { ?s rdf:type ontology:fictional_taxon } } } } . FILTER ( ?o = ?p ) }
[]