Simple Question (Direct)
Simple Question
Q19868541
P291
Q20667921
USER
Which french administrative division is the publication region of Ondes intimes ?
(Q19868541,P291,c(Q20667921))
action filter_type
action find
entity Q19868541
relation P291
type Q20667921
['Q19868541', 'P291', {'concept': 'Q20667921'}]
SELECT DISTINCT ?q WHERE { resource:Q19868541 property:P291 ?q . ?q rdf:type ontology:Q20667921 }
Ondes intimes
action filter_type
action find
entity Ondes intimes
relation place of publication
type type of french administrative division
['Ondes intimes', 'place of publication', {'concept': 'type of french administrative division'}]
SELECT DISTINCT ?q WHERE { resource:Ondes_intimes property:place_of_publication ?q . ?q rdf:type ontology:type_of_french_administrative_division }
[]
type of french administrative division
Q40898
SYSTEM
Nancy
Q40898
(Q19868541,P291,c(Q20667921))
action filter_type
action find
entity Q19868541
relation P291
type Q20667921
[ANSWER] is the publication region of Ondes intimes
['Q19868541', 'P291', {'concept': 'Q20667921'}]
SELECT DISTINCT ?q WHERE { resource:Q19868541 property:P291 ?q . ?q rdf:type ontology:Q20667921 }
Nancy
Nancy is the publication region of Ondes intimes
Nancy
action filter_type
action find
entity Ondes intimes
relation place of publication
type type of french administrative division
['Ondes intimes', 'place of publication', {'concept': 'type of french administrative division'}]
SELECT DISTINCT ?q WHERE { resource:Ondes_intimes property:place_of_publication ?q . ?q rdf:type ontology:type_of_french_administrative_division }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q40898
P159
Q2385804
USER
Which educational institution has its head office location at that french administrative division ?
(c(Q2385804),P159,Q40898)
action filter_type
action find_reverse
entity Q40898
relation P159
type Q2385804
[{'concept': 'Q2385804'}, 'P159', 'Q40898']
SELECT DISTINCT ?p WHERE { ?p property:P159 resource:Q40898 . ?p rdf:type ontology:Q2385804 }
Nancy
action filter_type
action find_reverse
entity Nancy
relation headquarters location
type educational institution
[{'concept': 'educational institution'}, 'headquarters location', 'Nancy']
SELECT DISTINCT ?p WHERE { ?p property:headquarters_location resource:Nancy . ?p rdf:type ontology:educational_institution }
[]
educational institution
Q273584
SYSTEM
École nationale supérieure des industries chimiques (ENSIC, Nancy)
Q273584
(c(Q2385804),P159,Q40898)
action filter_type
action find_reverse
entity Q40898
relation P159
type Q2385804
[ANSWER] has its head office location at that french administrative division
[{'concept': 'Q2385804'}, 'P159', 'Q40898']
SELECT DISTINCT ?p WHERE { ?p property:P159 resource:Q40898 . ?p rdf:type ontology:Q2385804 }
École nationale supérieure des industries chimiques (ENSIC, Nancy)
École nationale supérieure des industries chimiques (ENSIC, Nancy) has its head office location at that french administrative division
École nationale supérieure des industries chimiques (ENSIC, Nancy)
action filter_type
action find_reverse
entity Nancy
relation headquarters location
type educational institution
[{'concept': 'educational institution'}, 'headquarters location', 'Nancy']
SELECT DISTINCT ?p WHERE { ?p property:headquarters_location resource:Nancy . ?p rdf:type ontology:educational_institution }
[]
Simple Question (Coreferenced)
Simple Question|Single Entity|Indirect
Q40898
P1376
Q13220204
USER
Which administrative country subdivision has that french administrative division has its center of administration ?
(Q273584,P1376,c(Q13220204))
action filter_type
action find
entity Q40898
relation P1376
type Q13220204
['Q273584', 'P1376', {'concept': 'Q13220204'}]
SELECT DISTINCT ?l WHERE { ?l rdf:type ontology:Q13220204 . resource:Q40898 property:P1376 ?l }
Nancy
action filter_type
action find
entity Nancy
relation capital of
type second-level administrative country subdivision
['École nationale supérieure des industries chimiques (ENSIC, Nancy)', 'capital of', {'concept': 'second-level administrative country subdivision'}]
SELECT DISTINCT ?l WHERE { ?l rdf:type ontology:second-level_administrative_country_subdivision . resource:Nancy property:capital_of ?l }
[]
second-level administrative country subdivision
Q701873
SYSTEM
arrondissement of Nancy
Q701873
(Q273584,P1376,c(Q13220204))
action filter_type
action find
entity Q40898
relation P1376
type Q13220204
The [ANSWER] has that french administrative division has its center of administration
['Q273584', 'P1376', {'concept': 'Q13220204'}]
SELECT DISTINCT ?l WHERE { ?l rdf:type ontology:Q13220204 . resource:Q40898 property:P1376 ?l }
arrondissement of Nancy
The arrondissement of Nancy has that french administrative division has its center of administration
arrondissement of Nancy
action filter_type
action find
entity Nancy
relation capital of
type second-level administrative country subdivision
['École nationale supérieure des industries chimiques (ENSIC, Nancy)', 'capital of', {'concept': 'second-level administrative country subdivision'}]
SELECT DISTINCT ?l WHERE { ?l rdf:type ontology:second-level_administrative_country_subdivision . resource:Nancy property:capital_of ?l }
[]
Quantitative Reasoning (All)
Quantitative|Min/Max|Single entity type
P1376
Q13220204 Q515
USER
Which cities are the county seat of min number of administrative country subdivisions ?
(c(Q515),P1376,c(Q13220204))
action argmin
action find_tuple_counts
relation P1376
type Q515
type Q13220204
[{'concept': 'Q515'}, 'P1376', {'concept': 'Q13220204'}]
SELECT DISTINCT ?g WHERE { { SELECT DISTINCT ( MIN ( ?q ) AS ?x ) { SELECT DISTINCT ?f ( COUNT ( ?k ) AS ?q ) WHERE { ?f property:P1376 ?k . ?f rdf:type ontology:Q515 . ?k rdf:type ontology:Q13220204 } GROUP BY ?f } } . FILTER ( ?z = ?x ) . { SELECT DISTINCT ?g ( COUNT ( ?o ) AS ?z ) WHERE { ?g property:P1376 ?o . ?g rdf:type ontology:Q515 . ?o rdf:type ontology:Q13220204 } GROUP BY ?g } }
action argmin
action find_tuple_counts
relation capital of
type city
type second-level administrative country subdivision
[{'concept': 'city'}, 'capital of', {'concept': 'second-level administrative country subdivision'}]
SELECT DISTINCT ?g WHERE { { SELECT DISTINCT ( MIN ( ?q ) AS ?x ) { SELECT DISTINCT ?f ( COUNT ( ?k ) AS ?q ) WHERE { ?f property:capital_of ?k . ?f rdf:type ontology:city . ?k rdf:type ontology:second-level_administrative_country_subdivision } GROUP BY ?f } } . FILTER ( ?z = ?x ) . { SELECT DISTINCT ?g ( COUNT ( ?o ) AS ?z ) WHERE { ?g property:capital_of ?o . ?g rdf:type ontology:city . ?o rdf:type ontology:second-level_administrative_country_subdivision } GROUP BY ?g } }
[]
second-level administrative country subdivision city
Q1486 Q1773 Q1899
SYSTEM
Buenos Aires, Riga, Kyiv
Q15826 Q373542 Q780731 Q39738 Q3572 Q10126 Q843001 Q1710 Q843006 Q843009 Q14525 Q3042 Q3974 Q861296 Q637647 Q240026 Q19689 Q873377 Q853746 Q8131 Q83786 Q854913 Q19833195 Q293558 Q192271 Q854918 Q460835 Q60037 Q217432 Q827041 Q4024 Q379030 Q1711 Q27860 Q240504 Q3806 Q281371 Q258884 Q3624 Q592338 Q52607 Q766168 Q933645 Q58650 Q214938 Q830394 Q205607 Q193050 Q71305 Q841296 Q911600 Q789256 Q7473516 Q903177 Q3870 Q243293 Q5779 Q932806 Q377834 Q295367 Q653389 Q851097 Q1696 Q861292 Q41474 Q57953 Q917888 Q1070920 Q174096 Q174091 Q740800 Q855082 Q633945 Q843031 Q593314 Q783255 Q197687 Q111739 Q842967 Q329768 Q843035 Q246723 Q696388 Q185719 Q18970 Q80989 Q14424 Q304803 Q432169 Q147738 Q853744 Q2135 Q43196 Q855032 Q404529 Q5954 Q3926 Q11462 Q834567 Q851675 Q3214 Q842908 Q1000336 Q911530 Q5838 Q181276 Q583137 Q3692 Q847546 Q330409 Q1019949 Q847543 Q854956 Q235004 Q379160 Q132997 Q478038 Q725168 Q580722 Q389515 Q394453 Q278017 Q321778 Q850359 Q535534 Q745657 Q748797 Q1899 Q494777 Q221283 Q2419449 Q1410 Q854969 Q842934 Q1794 Q793405 Q665 Q375097 Q911558 Q59144 Q12062 Q629471 Q209766 Q178878 Q5316658 Q203027 Q1486 Q2966 Q220445 Q34217 Q625154 Q4348183 Q179608 Q847594 Q790370 Q154540 Q1467 Q1461 Q843018 Q14499 Q2865 Q607625 Q526335 Q13630 Q424813 Q578343 Q366220 Q12245 Q16959 Q1844 Q10389 Q650015 Q30340 Q23430 Q225257 Q35925 Q44215 Q629849 Q680656 Q854996 Q207408 Q214956 Q1362 Q15379 Q588606 Q5540 Q58401 Q161176 Q850508 Q840986 Q1723 Q288413 Q1519 Q8684 Q270704 Q3838 Q167109 Q3104 Q734378 Q459787 Q585630 Q855529 Q7248 Q4346 Q1107569 Q1025387 Q602042 Q237699 Q207406 Q517407 Q23661 Q191651 Q7856199 Q3904 Q325164 Q14819 Q5285 Q14182 Q740810 Q1069007 Q861221 Q911667 Q7568 Q842971 Q842976 Q3866 Q181007 Q385864 Q755686 Q3599 Q1731 Q3861 Q43433 Q1636 Q3852 Q846652 Q7786 Q10104 Q3859 Q155975 Q19660 Q1020939 Q674311 Q3915 Q155674 Q863747 Q841125 Q314686 Q487439 Q385591 Q1953 Q124375 Q933641 Q854940 Q2180 Q335427 Q9005 Q2337 Q633789 Q1330294 Q14960 Q8158 Q385070 Q116417 Q830404 Q861262 Q781435 Q26600 Q2025433 Q740853 Q749320 Q874270 Q911628 Q632146 Q52564 Q4905 Q207876 Q2978 Q2973 Q34261 Q137271 Q855060 Q843028 Q842996 Q1773 Q679249 Q843021 Q14821 Q680743 Q564234 Q3958 Q488990 Q3955 Q668318 Q2079 Q2773 Q6829 Q260522 Q8156 Q752838 Q993064 Q276534 Q41773 Q42007 Q1858 Q2096 Q329775 Q1854 Q1856 Q855016 Q3787 Q855011 Q308657 Q4007 Q480421 Q14168 Q823907 Q7070 Q3826 Q642031 Q55598 Q498011 Q214948 Q214945 Q182852 Q755681 Q214942 Q68481 Q549427 Q335506 Q320798 Q386655 Q245126 Q1826 Q1533 Q200077 Q47916 Q80484 Q3183016 Q328601 Q542154 Q2526233 Q946769 Q846351 Q739304 Q789233 Q7253 Q2936 Q530634 Q4827 Q877227 Q5753 Q429409 Q2749 Q193719 Q170454 Q211243 Q841603 Q7929221 Q911576 Q42751 Q42750 Q185684 Q187861 Q207311 Q11194 Q386682 Q63145 Q2119 Q390796 Q5972 Q1720 Q1721 Q1645 Q7578 Q390798 Q11443 Q7033 Q14126 Q57906 Q44244 Q855052 Q11449 Q547479 Q404817 Q183584 Q2907 Q15847 Q843014 Q2844 Q11725 Q604516 Q73156 Q732300 Q789510 Q20073 Q1863 Q1865 Q2209 Q2200 Q18342086 Q16506 Q14155 Q430207 Q756273 Q14409 Q188247 Q206872 Q72778 Q1355 Q146363 Q208818 Q187136 Q5869 Q46845 Q57951 Q830411 Q171943 Q728438 Q427769 Q189823 Q40626 Q55740 Q250733 Q146317 Q187821 Q203344 Q107401 Q71159 Q3355306 Q57944 Q189761 Q189769 Q1761 Q57948 Q2795 Q378225 Q954569 Q2887 Q738275 Q69060 Q8179 Q727383 Q2061 Q2069869 Q184998 Q5217 Q854965 Q1020709 Q489147 Q755701 Q679224 Q168648 Q2152435 Q843043 Q850676 Q2833 Q36063 Q3935 Q3931 Q726993 Q3919 Q3751 Q3750 Q3616 Q42666 Q738013 Q894059 Q933638 Q183111 Q40584 Q1067897 Q25475 Q11506 Q613813 Q375862 Q107624 Q1530 Q680963 Q66485 Q649214 Q646850 Q209988 Q582209 Q209983 Q877190 Q2900 Q845792 Q684494 Q170525 Q503411 Q842925 Q842923 Q302526 Q1231003 Q8042 Q911642 Q187284 Q158245 Q50179 Q284480 Q632080 Q207309 Q187812 Q104125 Q2999 Q16666
(c(Q515),P1376,c(Q13220204))
action argmin
action find_tuple_counts
relation P1376
type Q515
type Q13220204
[ANSWERS] are the county seat of min number of administrative country subdivisions
[{'concept': 'Q515'}, 'P1376', {'concept': 'Q13220204'}]
SELECT DISTINCT ?g WHERE { { SELECT DISTINCT ( MIN ( ?q ) AS ?x ) { SELECT DISTINCT ?f ( COUNT ( ?k ) AS ?q ) WHERE { ?f property:P1376 ?k . ?f rdf:type ontology:Q515 . ?k rdf:type ontology:Q13220204 } GROUP BY ?f } } . FILTER ( ?z = ?x ) . { SELECT DISTINCT ?g ( COUNT ( ?o ) AS ?z ) WHERE { ?g property:P1376 ?o . ?g rdf:type ontology:Q515 . ?o rdf:type ontology:Q13220204 } GROUP BY ?g } }
Palu Szigetvár Szeghalom Laoag Tunis Serang Csorna Isabela City Nagykálló Marcali Gorontalo Offenbach am Main Landshut Nōgata Pásztó Jászapáti Tirana Dumaguete Bátonyterenye Palembang Shimla Szikszó Barcelos Ózd Guiyang Szécsény Marugame Zalaegerszeg Port Harcourt Beroun Frankfurt (Oder) Zalaszentgrót Potsdam Jayapura Makó Tübingen Jászberény Bélapátfalva Addis Ababa Marawi Mar del Plata Nagykáta Kunhegyes Zhangjiakou Gyula Nagykőrös Zirc Érd Ezhou Příbram Vásárosnamény Balatonalmádi Tokyo Tiszafüred Nairobi Sekondi-Takoradi Banda Aceh Polgárdi Szentes Nagyatád Nobeoka Iiyama Legazpi Hitoyoshi Kingstown Schwarzenberg Vinaròs Mamuju Sorsogon City Changsha Paks Csenger Saijō Vasvár Sárbogárd Kapuvár Miercurea Sibiului Puerto Princesa Gönc Tata Celldömölk Záhony Toyooka Pétervására Ambon Bhopal Nagykanizsa Mezőcsát Dipolog Saint Helier Devecser Winnipeg Cincinnati Mezőkovácsháza Xuchang Binjai Pretoria Surabaya Bonyhád Takahashi Cottbus Gyál Tandil Hajdúhadház Kabul Szolnok Kidapawan Riyadh Saiki Ústí nad Orlicí Surigao City Katsuyama Ibrány Vigan Kunszentmárton Florianópolis Kiskunfélegyháza Tagum Őriszentpéter Kariya Žďár nad Sázavou Tiszavasvári Hodonín Kitsuki Hohhot Fehérgyarmat Dorog Kyiv Alcoi Cape Coast Polgár Gibraltar Letenye Püspökladány Frankfurt Berettyóújfalu Lugdunum Tiszaújváros Putnok Zhanjiang Torgau Kiskunmajsa Saga Békéscsaba Durjaya Tsu Buenos Aires Heidelberg Kuching Oxford Komárom Athkatla Nanning Shimabara Barcs Sásd Cebu City Manila Kunszentmiklós Samarinda Kassel Tamási Keszthely Olbia Akō Szentlőrinc Adony Stanley Ürümqi Vaduz Bandung Pannonhalma Zhengzhou Ulaanbaatar Rupea Tabuk Santa Rosa Hatvan Sümeg Szerencs Vác Znojmo Islamabad Kendari Fonyód Penza Shijiazhuang Fukushima Taketa Törökszentmiklós Batangas City Tapolca Abu Dhabi Seoul Třebíč Kinshasa Eger Koblenz Yonezawa Iloilo City Yanagawa Kistelek Bukittinggi Waren (Müritz) Kerma Maasin Baktalórántháza Aizuwakamatsu Mosonmagyaróvár Sondershausen Wellington Masbate City Turquoise Mountain Mbabane Kayes Freiberg Tarlac Banjarmasin Békés Washukanni Nakatsu Elek Yogyakarta Sellye Mátészalka Dodoma Hattusa Ōsakasayama Nyírbátor Bicske Dresden Doha Chandigarh Antipolo Worms Cigánd Pekanbaru Tanjung Pinang Kigali Kutná Hora Bucharest Digos Kisvárda Antananarivo Tandag Uda Tsuyama Mati Oral Ōmura Yerevan Hódmezővásárhely Martonvásár Dabas Malolos Kisarazu Brussels Smolensk Dombóvár Jiankang Brno Metro, Indonesia Burriana Sátoraljaújhely Hajdúszoboszló Uto Derecske Fukuoka Calimport Szigetszentmiklós Monor Pagadian Kemecse Enying Maloe Verevo Druzhnaya Gorka Yamaguchi Regensburg Darmstadt Port-au-Prince Kota Kinabalu Encs Oroszlány Pécsvárad Riga Kalocsa Tolna Coburg Balatonfüred Annaka Neubrandenburg Kostanay Weimar Sárospatak Leipzig Braunschweig Speyer Bácsalmás Bandar Lampung Aszód Saint Anne Wau, South Sudan Obama Szombathely Hanoi Edmonton Kiskunhalas Ho Chi Minh City Malaybalay Csurgó Abuja Heves Minas Tirith Rosenheim Abony Pontianak HigashiMatsuyama Eisenach Muscat Gárdony Palayan Sakura Cegléd Pápa Kunming Várpalota Kazincbarcika Fuzhou Jánoshalma Salto Mohács Ōzu Siófok Tagbilaran Caracas Morioka Lucknow Patna Ungaran Hirado Koronadal Carn Dûm Mórahalom Miyazu Hajdúnánás Balassagyarmat Padang Oldenburg Pilisvörösvár Vyritsa Ogi Samarkand Szob Augsburg Cheb Agartala Yinchuan Tiszakécske Vijaya Rétság Palikir Vojskovitsy Hefei Wollongong Suzuka Sarajevo Khost Imus Mannheim Orosháza Medan Mainz Wiesbaden Cagayan de Oro Jambi Szentendre Kediri Nordhausen Mataram Yangzhou Santa Fe Mezőtúr Pasuruan Dunakeszi Shangqiu Lanzhou Sucre Manado Szarvas Brasília Chongqing Szentgotthárd Linfen Gyomaendrőd Balmazújváros Hohenstein-Ernstthal Andorra la Vella Kuala Lumpur Roxas Tuguegarao Oyo-Ile České Budějovice Kupang Komló Karcag Palangkaraya Sarkad Ajka Taiyuan Bangalore Most Fuchū Luoyang Lhasa Oelsnitz, Vogtland Marienberg Körmend Nanchang Siklós Kisbér Haikou Tacloban San Fernando Wa Veszprém Tatabánya Baja Sivas Brand-Erbisdorf Fukuchiyama Annaberg-Buchholz Szekszárd Salgótarján Dublin Aue Chemnitz Hagi Vyškov Santiago Karatsu Xining Pangkal Pinang Sokolov Yellowknife Edoras Kaposvár Bacolod Lenti Catbalogan Schmalkalden Ráckeve Hajdúböszörmény Sopron Miramar Sárvár Blansko Freiburg im Breisgau Vecsés Windhoek Brandenburg an der Havel Cotabato City Gaborone Praia Gera Tehran Shaoxing Xàtiva Borongan Mezőkövesd Jihlava San Fernando Oroquieta Batumi Denpasar Kőszeg Nyíradony Calapan Baghdad Mór Jaipur Csongrád Kiskőrös Gödöllő Tokaj Gyöngyös Tatsuno Quito Usuki Kashima Agadir Inuyama Edelény Pomáz Tab Cocentaina Bengkulu Füzesabony Hurghada Písek Ilagan Bóly Tét Tokushima Dunaújváros Lucena Würzburg Nanjing
Buenos Aires, Riga and Kyiv are the county seat of min number of administrative country subdivisions
Buenos Aires Riga Kyiv
action argmin
action find_tuple_counts
relation capital of
type city
type second-level administrative country subdivision
[{'concept': 'city'}, 'capital of', {'concept': 'second-level administrative country subdivision'}]
SELECT DISTINCT ?g WHERE { { SELECT DISTINCT ( MIN ( ?q ) AS ?x ) { SELECT DISTINCT ?f ( COUNT ( ?k ) AS ?q ) WHERE { ?f property:capital_of ?k . ?f rdf:type ontology:city . ?k rdf:type ontology:second-level_administrative_country_subdivision } GROUP BY ?f } } . FILTER ( ?z = ?x ) . { SELECT DISTINCT ?g ( COUNT ( ?o ) AS ?z ) WHERE { ?g property:capital_of ?o . ?g rdf:type ontology:city . ?o rdf:type ontology:second-level_administrative_country_subdivision } GROUP BY ?g } }
[]
Verification (Boolean) (All)
Verification|one entity, multiple entities (as object) referred indirectly
Q5836409
P190
Q56061
USER
Are Karreh-ye Olya partner town of those cities ?
(Q5836409,P190,Q1486) (Q5836409,P190,Q1773) (Q5836409,P190,Q1899)
action is_in
entity prev_answer
action find
entity Q5836409
relation P190
['Q5836409', 'P190', 'Q1486'] ['Q5836409', 'P190', 'Q1773'] ['Q5836409', 'P190', 'Q1899']
ASK WHERE { resource:Q5836409 property:P190 ?j . VALUES ( ?j ) { ( resource:Q15826 ) ( resource:Q373542 ) ( resource:Q780731 ) } }
Karreh-ye Olya
action is_in
entity prev_answer
action find
entity Karreh-ye Olya
relation sister city
['Karreh-ye Olya', 'sister city', 'Buenos Aires'] ['Karreh-ye Olya', 'sister city', 'Riga'] ['Karreh-ye Olya', 'sister city', 'Kyiv']
ASK WHERE { resource:Karreh-ye_Olya property:sister_city ?j . VALUES ( ?j ) { ( resource:Palu ) ( resource:Szigetvár ) ( resource:Szeghalom ) } }
[]
administrative territorial entity
SYSTEM
NO
(Q5836409,P190,Q1486) (Q5836409,P190,Q1773) (Q5836409,P190,Q1899)
action is_in
entity prev_answer
action find
entity Q5836409
relation P190
[ANSWER]
['Q5836409', 'P190', 'Q1486'] ['Q5836409', 'P190', 'Q1773'] ['Q5836409', 'P190', 'Q1899']
ASK WHERE { resource:Q5836409 property:P190 ?j . VALUES ( ?j ) { ( resource:Q15826 ) ( resource:Q373542 ) ( resource:Q780731 ) } }
No
action is_in
entity prev_answer
action find
entity Karreh-ye Olya
relation sister city
['Karreh-ye Olya', 'sister city', 'Buenos Aires'] ['Karreh-ye Olya', 'sister city', 'Riga'] ['Karreh-ye Olya', 'sister city', 'Kyiv']
ASK WHERE { resource:Karreh-ye_Olya property:sister_city ?j . VALUES ( ?j ) { ( resource:Palu ) ( resource:Szigetvár ) ( resource:Szeghalom ) } }
[]
Quantitative Reasoning (Count) (All)
Quantitative|Count|Single entity type
Q1899
P190
Q515
USER
How many cities are twin cities of Kyiv ?
(Q1899,P190,c(Q515))
action count
action filter_type
action find
entity Q1899
relation P190
type Q515
['Q1899', 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?t ) WHERE { resource:Q1899 property:P190 ?e . ?e rdf:type ontology:Q515 }
Kyiv
action count
action filter_type
action find
entity Kyiv
relation sister city
type city
['Kyiv', 'sister city', {'concept': 'city'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?t ) WHERE { resource:Kyiv property:sister_city ?e . ?e rdf:type ontology:city }
[]
city
SYSTEM
8
Q1773 Q42622 Q2079 Q19689 Q1486 Q2887 Q1953 Q3926
(Q1899,P190,c(Q515))
action count
action filter_type
action find
entity Q1899
relation P190
type Q515
[ANSWER]
['Q1899', 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?t ) WHERE { resource:Q1899 property:P190 ?e . ?e rdf:type ontology:Q515 }
Riga Suzhou Leipzig Tirana Buenos Aires Santiago Yerevan Pretoria
8
action count
action filter_type
action find
entity Kyiv
relation sister city
type city
['Kyiv', 'sister city', {'concept': 'city'}]
SELECT DISTINCT ( COUNT ( ?e ) AS ?t ) WHERE { resource:Kyiv property:sister_city ?e . ?e rdf:type ontology:city }
[]
Quantitative Reasoning (Count) (All)
Incomplete count-based ques
Q26123
Q515
USER
And what about Namhae County?
(Q26123,P190,c(Q515))
action count
action filter_type
action find
entity Q26123
relation P190
type Q515
['Q26123', 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?a ) WHERE { ?z rdf:type ontology:Q515 . resource:Q26123 property:P190 ?z }
Namhae County
action count
action filter_type
action find
entity Namhae County
relation sister city
type city
['Namhae County', 'sister city', {'concept': 'city'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?a ) WHERE { ?z rdf:type ontology:city . resource:Namhae_County property:sister_city ?z }
[]
city
SYSTEM
1
(Q26123,P190,c(Q515))
action count
action filter_type
action find
entity Q26123
relation P190
type Q515
[ANSWER]
['Q26123', 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?a ) WHERE { ?z rdf:type ontology:Q515 . resource:Q26123 property:P190 ?z }
1
action count
action filter_type
action find
entity Namhae County
relation sister city
type city
['Namhae County', 'sister city', {'concept': 'city'}]
SELECT DISTINCT ( COUNT ( ?z ) AS ?a ) WHERE { ?z rdf:type ontology:city . resource:Namhae_County property:sister_city ?z }
[]
Quantitative Reasoning (All)
Quantitative|Atleast/ Atmost/ Approx. the same/Equal|Mult. entity type
P190
Q515 Q20667921 Q56061
USER
Which cities are partner towns of approximately 7 french administrative divisions and administrative territories ?
(c(Q20667921)|c(Q56061),P190,c(Q515))
action approx
action union
action find_reverse_tuple_counts
relation P190
type Q515
type Q20667921
action find_reverse_tuple_counts
relation P190
type Q515
type Q56061
value 7
[[{'concept': 'Q20667921'}, {'concept': 'Q56061'}], 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?u ) AS ?g ) WHERE { VALUES ( ?j ) { ( ontology:Q20667921 ) ( ontology:Q56061 ) } . ?u rdf:type ?j } GROUP BY ?h } . FILTER ( ?g = 7 ) }
action approx
action union
action find_reverse_tuple_counts
relation sister city
type city
type type of french administrative division
action find_reverse_tuple_counts
relation sister city
type city
type administrative territorial entity
value 7
[[{'concept': 'type of french administrative division'}, {'concept': 'administrative territorial entity'}], 'sister city', {'concept': 'city'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?u ) AS ?g ) WHERE { VALUES ( ?j ) { ( ontology:type_of_french_administrative_division ) ( ontology:administrative_territorial_entity ) } . ?u rdf:type ?j } GROUP BY ?h } . FILTER ( ?g = 7 ) }
[]
city type of french administrative division administrative territorial entity
Q1731 Q1794 Q157835
SYSTEM
Dresden, Frankfurt, Zaporizhzhya
Q23430 Q3870 Q60037 Q2936 Q4024 Q42651 Q52607 Q214938 Q392692 Q20934 Q174091 Q430864 Q14424 Q2973 Q2135 Q43196 Q3926 Q11462 Q3214 Q181276 Q756593 Q57719 Q3104 Q2910 Q207408 Q26600 Q1794 Q178878 Q2966 Q34217 Q17042 Q842984 Q2865 Q198370 Q107401 Q214956 Q1362 Q1519 Q3838 Q167109 Q6602 Q23661 Q193721 Q7003 Q987496 Q3933 Q2900 Q2100 Q1731 Q3861 Q2844 Q674311 Q178382 Q1711 Q487439 Q124375 Q3806 Q57756 Q42635 Q9005 Q208471 Q2337 Q3185 Q116417 Q2773 Q3004 Q2978 Q3958 Q3955 Q2079 Q6829 Q42007 Q1858 Q1854 Q7070 Q182852 Q16506 Q245126 Q3126 Q157835 Q3046 Q5753 Q2749 Q523469 Q185684 Q2119 Q1720 Q1721 Q3904 Q57906 Q1789604 Q2203 Q1355 Q3014 Q189823 Q187821 Q203344 Q20921 Q57947 Q2880 Q2706 Q168648 Q2833 Q3935 Q3936 Q3751 Q3750 Q3200 Q171943 Q18575 Q117676 Q4060 Q1530 Q3042 Q209988 Q187812 Q170525 Q842929 Q30340 Q3852 Q2999 Q213296 Q16666
(c(Q20667921)|c(Q56061),P190,c(Q515))
action approx
action union
action find_reverse_tuple_counts
relation P190
type Q515
type Q20667921
action find_reverse_tuple_counts
relation P190
type Q515
type Q56061
value 7
[ANSWERS] are partner towns of approximately 7 french administrative divisions and administrative territories
[[{'concept': 'Q20667921'}, {'concept': 'Q56061'}], 'P190', {'concept': 'Q515'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?u ) AS ?g ) WHERE { VALUES ( ?j ) { ( ontology:Q20667921 ) ( ontology:Q56061 ) } . ?u rdf:type ?j } GROUP BY ?h } . FILTER ( ?g = 7 ) }
Ulaanbaatar Nairobi Zalaegerszeg Oldenburg Frankfurt (Oder) Wuxi Mar del Plata Gyula Šumperk Incheon Changsha Nymburk Nagykanizsa Darmstadt Winnipeg Cincinnati Pretoria Surabaya Cottbus Szolnok Târgu Neamț Xuzhou Koblenz Ludwigshafen Vác Fukuoka Frankfurt Békéscsaba Heidelberg Oxford Oakland Harkány Kassel Zibo Sivas Znojmo Islamabad Abu Dhabi Kinshasa Eger Strasbourg Wellington Tábor Dijon Kralupy nad Vltavou Celle Quito Duisburg Dresden Doha Brasília Kisvárda Jūrmala Potsdam Oral Hódmezővásárhely Tübingen Lianyungang Wenzhou Brussels Kaifeng Smolensk Hildesheim Sátoraljaújhely Braunschweig Ingolstadt Regensburg Neubrandenburg Weimar Leipzig Speyer Szombathely Hanoi Ho Chi Minh City Eisenach Kunming České Budějovice Siófok Erlangen Zaporizhzhya Pforzheim Samarkand Augsburg Mariánské Lázně Hefei Mannheim Mainz Wiesbaden Mbabane Yangzhou Krnov Arica Bangalore Wolfsburg Haikou Tatabánya Baja Daejeon Nantong Hamm Bremerhaven Sopron Freiburg im Breisgau Windhoek Bamberg Praia Gera Salzgitter Nanchang Tucson Viseu Hürth Baghdad Offenbach am Main Gödöllő Dunaújváros Agadir Nepomuk Zhengzhou Worms Würzburg Sinaia Nanjing
Dresden, Frankfurt and Zaporizhzhya are partner towns of approximately 7 french administrative divisions and administrative territories
Dresden Frankfurt Zaporizhzhya
action approx
action union
action find_reverse_tuple_counts
relation sister city
type city
type type of french administrative division
action find_reverse_tuple_counts
relation sister city
type city
type administrative territorial entity
value 7
[[{'concept': 'type of french administrative division'}, {'concept': 'administrative territorial entity'}], 'sister city', {'concept': 'city'}]
SELECT DISTINCT ?h WHERE { { SELECT DISTINCT ?h ( COUNT ( ?u ) AS ?g ) WHERE { VALUES ( ?j ) { ( ontology:type_of_french_administrative_division ) ( ontology:administrative_territorial_entity ) } . ?u rdf:type ?j } GROUP BY ?h } . FILTER ( ?g = 7 ) }
[]