PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?uni ?label ?date WHERE {
  VALUES ?uni {
    wd:Q34433 wd:Q35794
  }
  ?uni rdfs:label ?label .
  ?uni wdt:P571 ?date .
}

Got 309 rows and 3 columns, showing the first 5 and last 5 rows below:
| uni                                 | label                              | date                                |
| ----------------------------------- | ---------------------------------- | ----------------------------------- |
| University of Oxford (wd:Q34433)    | Chuo Kikuu cha Oxford (sw)         | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Đại học Oxford (vi)                | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Eormengyld Oxnafordes (ang)        | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | In the shadow of the mountain (wa) | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Jaamacadda Oxford (so)             | 1096-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                                | ...                                 |
| University of Cambridge (wd:Q35794) | 剑桥大学 (zh-hans)                     | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (yue)                         | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-hant)                     | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-hk)                       | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-tw)                       | 1209-01-01T00:00:00Z (xsd:dateTime) |

The University of Oxford was established earlier in 1096, while the University of Cambridge was established in 1209.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] which university is established earlier, university of oxford or university of cambridge?

[Tool]
Top 10 entity alternatives:
1. University of Oxford, also known as Univ. of Oxford, Universitas Oxoniensis, The University of Oxford, Oxon., Oxford (wd:Q34433): collegiate research university in Oxford, England
2. University of Oxford (wd:Q58944020): scholarly article
3. WikiProject University of Oxford (wd:Q21831045): Wikimedia subject-area collaboration
4. ISCA, University of Oxford (wd:Q52666568): Academic publisher based in United Kingdom
5. The University of Oxford (wd:Q61960212): scientific article published in March 2016
6. University of Oxford Finance (wd:Q102523083): business school
7. University of Oxford: Erratum (wd:Q94059932): scholarly article published in The BMJ
8. University of Oxford Latin American Centre, also known as University of Oxford LAC (wd:Q85960644): research centre in the UK
9. University of Oxford Blackfriars (wd:Q86020251): academic department in the UK
10. University of Oxford University College Oxford (wd:Q86020246): academic department in the UK

[Tool]
Top 10 entity alternatives:
1. University of Cambridge, also known as Cambridge University, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge, The University of Cambridge, Universitas Cantabrigiensis (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
2. University of Cambridge, also known as The University of Cambridge, Universitas Cantabrigiensis, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge University, Cambridge (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
3. University of Cambridge (wd:Q60109853): scholarly article published in Nature 148, November 1941
4. University of Cambridge (wd:Q60080699): scholarly article published in Nature 161, June 1948
5. University of Cambridge (wd:Q110095020): engraving by Nathaniel Parr
6. Cambridge University Constabulary, also known as University of Cambridge Constabulary (wd:Q304220)
7. University of Cambridge Museums & Botanic Garden, also known as University of Cambridge Museums (wd:Q17028042): consortium of museums of the University of Cambridge, United Kigdom
8. University of Cambridge legends (wd:Q7895218)
9. WikiProject University of Cambridge (wd:Q21831036): Wikimedia subject-area collaboration
10. Eur.Th.Group Of Cambridge University (wd:Q54909497): UK organization

[Tool]
Got 309 rows and 3 columns, showing the first 5 and last 5 rows below:
| uni                                 | label                              | date                                |
| ----------------------------------- | ---------------------------------- | ----------------------------------- |
| University of Oxford (wd:Q34433)    | Chuo Kikuu cha Oxford (sw)         | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Đại học Oxford (vi)                | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Eormengyld Oxnafordes (ang)        | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | In the shadow of the mountain (wa) | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Oxford (wd:Q34433)    | Jaamacadda Oxford (so)             | 1096-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                                | ...                                 |
| University of Cambridge (wd:Q35794) | 剑桥大学 (zh-hans)                     | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (yue)                         | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-hant)                     | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-hk)                       | 1209-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | 劍橋大學 (zh-tw)                       | 1209-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?movement WHERE {
  wd:Q117012 wdt:P136 ?movement
}

Got 13 rows and 1 column, showing the first 5 and last 5 rows below:
| movement                     |
| ---------------------------- |
| avant-garde (wd:Q102932)     |
| Fluxus (wd:Q108908)          |
| alternative rock (wd:Q11366) |
| rock music (wd:Q11399)       |
| Shibuya-kei (wd:Q1207347)    |
| ...                          |
| vanguard (wd:Q255546)        |
| dance music (wd:Q316930)     |
| pop music (wd:Q37073)        |
| electronica (wd:Q817138)     |
| electronic music (wd:Q9778)  |

Yoko Ono was part of the Fluxus art movement (wd:Q108908).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which art movement was Yoko Ono part of?

[Tool]
Top 10 entity alternatives:
1. Yoko Ono, also known as Yōko Ono, Ono Yōko, Yoko Ono Lennon, Ĭoko Ono, Ono (wd:Q117012): Japanese artist and activist based in the United States, performance artist, conceptual artist, recording artist, peace activist, visual artist, film director, photographer, filmmaker, sculptor, composer, painter, singer
2. Yōko Ōno, also known as Ono Yoko, Youko Ouno, Yoko Ono, Ōno Yōko (wd:Q16264827): Japanese judoka, judoka
3. Yoko Ono (wd:Q1867590): song by Die Ärzte
4. Yōko Ono, also known as Ono Yoko, Youko Ono, Yoko Ono, Ono Yōko (wd:Q11464149): Japanese actress born in 1954, actor, seiyū
5. Ono, Yoko (wd:Q103989374): encyclopedia article
6. Yoko Ono/Plastic Ono Band (wd:Q507672): album
7. Plastic Ono Band, also known as Plastic Ono Elephant's Memory Band, Plastic Ono Nuclear Band, Plastic U.F. Ono Band, The Plastic Ono Band, Yoko Ono Plastic Ono Band (wd:Q731721): UK musical group; rock band
8. Be My Yoko Ono (wd:Q4875557): 1992 single by Barenaked Ladies
9. Yoko Ono Lennon Centre, also known as Tung Auditorium (wd:Q130417289): teaching and performance facility in Liverpool
10. John Lennon and Yoko Ono, also known as Yoko & John, Yoko Ono & John Lennon, Yoko Ono and John Lennon, John & Yoko, John Lennon & Yoko Ono (wd:Q47122619): musical duo; couple

[Tool]
Got 13 rows and 1 column, showing the first 5 and last 5 rows below:
| movement                     |
| ---------------------------- |
| avant-garde (wd:Q102932)     |
| Fluxus (wd:Q108908)          |
| alternative rock (wd:Q11366) |
| rock music (wd:Q11399)       |
| Shibuya-kei (wd:Q1207347)    |
| ...                          |
| vanguard (wd:Q255546)        |
| dance music (wd:Q316930)     |
| pop music (wd:Q37073)        |
| electronica (wd:Q817138)     |
| electronic music (wd:Q9778)  |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?releaseDate WHERE {
  wd:Q19798744 wdt:P577 ?releaseDate
}

The SPARQL query for the publication date (P577) of wd:Q19798744 (The OA) returned no results, indicating the release date might not be explicitly recorded in Wikidata. While the entity is described as a '2016 American mystery drama television series,' the specific release date (e.g., month/day) is not available in the knowledge graph.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] When did The OA was first released?

[Tool]
Top 10 entity alternatives:
1. The OA (wd:Q19798744): 2016 American mystery drama television series
2. The Oa, also known as The Oa RSPB Nature Reserve (wd:Q1325866): peninsula in the southwest of Islay, Argyll and Bute, Scotland, UK
3. The Oa (wd:Q126204501): Special Protection Area in Scotland, UK
4. The Oath, also known as Oath, Eiðurinn (wd:Q27834781): 2016 film by Baltasar Kormákur
5. Di Shvue, also known as Di Bundishe Shvue, The Oath (wd:Q5270055): Jewish song, anthem of the Bund
6. Il giuramento, also known as The Oath (wd:Q1469058): opera by Saverio Mercadante
7. The Oak, also known as Oak (wd:Q2328850): 1992 film
8. Epsom Oaks, also known as Oaks, The Oaks, The Oaks Stakes (wd:Q3347856): British Group 1 horse race tor 3-year-old filles over 1 mile, 4 furlongs and 10 yards (2,423 metres)
9. The Oatmeal, also known as theoatmeal.com (wd:Q2015830): humor website
10. The Oath (wd:Q39071891): television series

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. date of commercialization, also known as availability date, commercialization date, product release date, release date (wd:P5204 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): date when a product was first commercialized
2. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): date or point in time when a work was first published or released, point in time
3. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): time of the first public presentation of a subject by the creator, of information by the media, point in time
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): time when an entity begins to exist; for date of official opening use P1619, start time
5. day of regular release (wd:P6437 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): day(s) when parts of this creative work are released, aired, published, etc
6. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): date or point in time on which a piece or class of equipment entered operational service, start time
7. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): date or point in time a place, organization, or event officially opened, start time, inception
8. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): date of spacecraft launch in UTC
9. production date, also known as date of production, filming date, filming time, production date, year of production (wd:P2754 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): period of active production of (creative) work; the only date st... publication date (P577); in general cases, use inception (P571)
10. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?head ) AS ?count ) WHERE {
  wd:Q794 wdt:P35 ?head
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

The SPARQL query executed counts the distinct entities linked to Iran (Q794) via the property P35 (head of state). The result indicates there is **1** distinct head of state currently recognized for Iran in Wikidata.

**Answer:**
Iran has 1 head of state according to the current Wikidata records.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] how many head of the state does iran have?

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

[Assistant]
The SPARQL query executed counts the distinct entities linked to Iran (Q794) via the property P35 (head of state). The result indicates there is **1** distinct head of state currently recognized for Iran in Wikidata.

**Answer:**
Iran has 1 head of state according to the current Wikidata records.


PREFIX pr: <http://www.wikidata.org/prop/reference/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ( COUNT( DISTINCT ?country ) AS ?count ) WHERE {
  wd:Q3233785 ( wdt:P17 | pq:P17 | pr:P17 ) ?country .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 14 (xsd:int) |

The number of countries where pysanka is practiced, according to Wikidata, is **14**.

**Answer:**
Pysanka is practiced in 14 countries.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] In how many countries is pysanka practiced?

[Tool]
Top 10 entity alternatives:
1. pysanka, also known as pisanica, pisanka (wd:Q3233785): egg decorating tradition in Slavic countries
2. Pysanka (wd:Q12140613)
3. Pysanka Museum (wd:Q746631): museum in Kolomyia, Ukraine
4. Ruslana Pysanka, also known as Ruslana Pysanko (wd:Q2506290): Ukrainian actress (1965–2022), television presenter, weather presenter, film actor, presenter, actor
5. Vegreville egg, also known as Vegreville Pysanka (wd:Q7918394): sculpture by Paul Maxum Sembaliuk
6. Hutsul pysanka (wd:Q116733019): Traditional hutsul painted Eastern egg
7. pysankar (wd:Q50333861): Ukrainian ethnic occupation, artists that produces pysanka
8. FORMATION OF PRESCHOOLERS’ AWARE...SANKA PAINTING REGIONAL FEATURES (wd:Q113694374): scientific article published in 2022

[Tool]
Got 168 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                       | object                                                                                |
| --------------------- | ---------------------------------------------- | ------------------------------------------------------------------------------------------------------- |
| pysanka (wd:Q3233785) | instance of (wdt:P31)                          | tradition (wd:Q82821)                                                                                |
| pysanka (wd:Q3233785) | country (wdt:P17)                              | Poland (wd:Q36)                                                                                |
| pysanka (wd:Q3233785) | Commons category (wdt:P373)                    | Pysanka                                                                                |
| pysanka (wd:Q3233785) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Meander%20Motif%20on%20a%20Ukrainian%20Pysanka.JPG> |
| pysanka (wd:Q3233785) | subclass of (wdt:P279)                         | easter egg (wd:Q163886)                                                                                |
| pysanka (wd:Q3233785) | on focus list of Wikimedia project (wdt:P5008) | WikiProject Ukraine (wd:Q10780973)                                                                      |
| pysanka (wd:Q3233785) | maintained by WikiProject (wdt:P6104)          | WikiProject Intangible Cultural Heritage (wd:Q112898263)                                                |
| pysanka (wd:Q3233785) | topic's main category (wdt:P910)               | wd:Q32494339                                                                                |
| pysanka (wd:Q3233785) | religion or worldview (wdt:P140)               | Rodnovery (wd:Q1258217)                                                                                |
| pysanka (wd:Q3233785) | manufacturer (wdt:P176)                        | pysankar (wd:Q50333861)                                                                                |
| ...                   | ...                                            | ...                                                                                |

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 14 (xsd:int) |

[Assistant]
The number of countries where pysanka is practiced, according to Wikidata, is **14**.

**Answer:**
Pysanka is practiced in 14 countries.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
ASK WHERE {
  wd:Q183 wdt:P92 ?law .
  ?law rdfs:label "Arbeitsschutzgesetz" @de
}

The German Occupational Safety and Health Act (Arbeitsschutzgesetz) is not explicitly identified in Wikidata with the provided query. Based on general knowledge, it was enacted by the German Bundestag, but this specific information could not be confirmed through the available knowledge graph.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who passed the German Occupational Safety and Health Act?

[Tool]
Top 10 entity alternatives:
1. Occupational Safety and Health Act, also known as Williams-Steiger Occupational Safety and Health Act of 1970, Public Law 91-596, OSH Act, OSHA Act, OSHA-1970 (wd:Q912402): United States law
2. Occupational Safety and Health Act (wd:Q18899790): law of Taiwan
3. Occupational Safety and Health Act (wd:Q47502511)
4. Occupational Safety and Health Act (wd:Q68948513): scientific article published on 01 April 1972
5. Occupational Health and Safety Act, also known as OHSA, OH & S Act, Ontario Occupational Health and Safety Act (wd:Q110542175): Ontario law enacted 1979
6. Occupational Health and Safety Act, also known as ZVZD-1 (wd:Q127329172): law of the Republic of Slovenia
7. Occupational Safety and Health Act 1994 (wd:Q7075788): national law of Malaysia
8. Occupational Health and Safety Act, 1993 (wd:Q60740074): South African statutory law administered by the Department of Labour
9. Occupational Health and Safety Act 1991 (wd:Q56750523): Act of the Parliament of Australia, no longer in force, registered as C2004A04105
10. Occupational Health and Safety Act NSW 2000 (wd:Q7075779): repealed statute of New South Wales, Australia

[Tool]
Top 10 entity alternatives:
1. Occupational Safety and Health Act, also known as Williams-Steiger Occupational Safety and Health Act of 1970, Public Law 91-596, OSH Act, OSHA Act, OSHA-1970 (wd:Q912402): United States law
2. Occupational Safety and Health Act (wd:Q18899790): law of Taiwan
3. Occupational Safety and Health Act (wd:Q47502511)
4. Occupational Safety and Health Act (wd:Q68948513): scientific article published on 01 April 1972
5. Occupational Health and Safety Act, also known as OHSA, OH & S Act, Ontario Occupational Health and Safety Act (wd:Q110542175): Ontario law enacted 1979
6. Occupational Health and Safety Act, also known as ZVZD-1 (wd:Q127329172): law of the Republic of Slovenia
7. Occupational Safety and Health Act 1994 (wd:Q7075788): national law of Malaysia
8. Occupational Health and Safety Act, 1993 (wd:Q60740074): South African statutory law administered by the Department of Labour
9. Occupational Health and Safety Act 1991 (wd:Q56750523): Act of the Parliament of Australia, no longer in force, registered as C2004A04105
10. Occupational Health and Safety Act NSW 2000 (wd:Q7075779): repealed statute of New South Wales, Australia

[Tool] No entity items found

[Tool]
Top 10 entity alternatives:
1. German, also known as de, German language (wd:Q188): West Germanic language spoken mainly in Central Europe
2. culture of Germany, also known as culture (Germany), culture in Germany, German, German culture, Germany culture (wd:Q1979615): pattern of human activity and symbolism associated with Germany and its people
3. German (wd:Q2990861): village in Stolichna municipality, Sofia Capital oblast, Bulgaria
4. German (wd:Q3708826): town in Chenango County, New York, United States
5. German Standard German, also known as Bundesdeutsch, German German (wd:Q258318): language
6. Agios Germanos, also known as German (wd:Q3298944): village in Florina, Greece
7. German (wd:Q3071702): village in North Macedonia
8. German (wd:Q2635930): South Slavic mythological being
9. German, also known as German, Isle of Man (wd:Q2734574): parish in the Isle of Man
10. German, also known as Garman, German, Shahrud, Gorgan, Kurqan, Qurghan (wd:Q5807368): village in Shahrud County, Iran

[Tool]
Top 10 property alternatives:
1. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
2. HDS ID, also known as DHS, DSS, HDS identifier, Historical Dictionary of Switzerland, HLS (wd:P902 as p/wdt): identifier in HDS/HLS/DHS/DSS: Historical Dictionary of Switzerland (Q642074), a national encyclopedia
3. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as p/wdt): text setting the main rules by which the subject is regulated
4. coat of arms image, also known as symbol, representation (heraldic), image of coat of arms, emblem, heraldic, CoA image (wd:P94 as p/wdt): image of the item's coat of arms - for the shield part only use P4004, image
5. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
8. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
9. Encyclopedia of the History of Ukraine ID, also known as EHU, EIY, history.org.ua, ЕІУ (wd:P8935 as p/wdt): ID for an entry on the official website of the Encyclopedia of the History of Ukraine
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Tool]
Top 10 property alternatives:
1. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
2. item operated, also known as fleet, item used, operated, operates, operator of (wd:P121 as p/wdt): equipment, installation or service operated by the subject, uses
3. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
4. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. executive body, also known as executive branch (wd:P208 as p/wdt): branch of government for the daily administration of the territorial entity
8. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
9. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
10. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt): official with the highest formal authority in a country/state, director / manager, chairperson

No other items found

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?area WHERE {
  wd:Q932289 wdt:P2044 ?area .
}

The Congo Basin has an area of 1,000,000 square kilometers according to the data retrieved. However, the area for the Amazon Rainforest could not be found in the provided data. Therefore, based on the available information, the Congo Basin's area is specified, but the Amazon Rainforest's area is not available here.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] which forest is bigger, Amazon Rainforest or Congo Basin?

[Tool]
Top 10 entity alternatives:
1. Amazon rainforest, also known as Brazilian Amazon, Amazon rain forest, Amazonian rainforest, Amazonia, Amazon forest (wd:Q177567): large rainforest in South America
2. deforestation of the Amazon Rainforest, also known as amazonian deforestation, Amazon Rainforest's deforestation, deforestation (Amazon Rainforest), deforestation of Amazon, Amazon deforestation (wd:Q5251697): overview about the deforestation of the Amazon Rainforest
3. 2019 Amazon rainforest wildfires, also known as 2019 Brazilian wildfires, 2019 Brazil wildfires (wd:Q66677938): Wildfires in Brazil Amazon fire forest
4. fauna of the Amazon rainforest (wd:Q107210685): native animals of the Amazon rainforest
5. Amazon rainforest, people and biodiversity (wd:Q128357663): scholarly article
6. Linked Brazilian Amazon Rainforest Data (wd:Q120984755): article published in the Semantic Web Journal
7. Selective logging in the Amazon rainforest (wd:Q7447772)
8. Acid rain in an Amazon rainforest (wd:Q114603945): scientific article published in 1983
9. Isoprene photochemistry over the Amazon rainforest (wd:Q28828668): scientific article
10. Drought Sensitivity of the Amazon Rainforest (wd:Q30046261): scientific article (publication date: 6 March 2009)

[Tool]
Top 10 entity alternatives:
1. Congo basin (wd:Q932289): basin of the Congo River in west equatorial Africa
2. Congo basin, also known as Zaire basin (wd:Q124044461): lowland in central Africa
3. Congolian forests, also known as Congo Basin forest, Congolian forests (wd:Q3079079): tropical rainforest, in Central Africa.
4. Congo Basin Forest Partnership (wd:Q5160495): Conservation initiative
5. Colonization of the Congo Basin (wd:Q2984278): European colonization of Africa's Congo Basin
6. Deforestation of the Congo Basin (wd:Q97366409)
7. Onchocerciasis in the Congo basin (wd:Q54052595): scientific article
8. Neogene congo basin rain forest (wd:Q46832519): scientific article published in August 1985
9. Tropical forests: Include Congo basin (wd:Q54119974): scientific article
10. Congo Basin Hydrology, Climate, and Biogeochemistry (wd:Q111634509): scientific article published on 25 February 2022

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Got 604 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                       | object                                                                            |
| ------------------------------ | ---------------------------------------------- | --------------------------------------------------------------------------------- |
| Amazon rainforest (wd:Q177567) | instance of (wdt:P31)                          | tropical forest (wd:Q199403)                                                      |
| Amazon rainforest (wd:Q177567) | country (wdt:P17)                              | France (wd:Q142)                                                                  |
| Amazon rainforest (wd:Q177567) | coordinate location (wdt:P625)                 | POINT(-60.030000 -3.160000) (geo:wktLiteral)                                      |
| Amazon rainforest (wd:Q177567) | Commons category (wdt:P373)                    | Amazon Rainforest                                                                 |
| Amazon rainforest (wd:Q177567) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Amazon%20Manaus%20forest.jpg> |
| Amazon rainforest (wd:Q177567) | part of (wdt:P361)                             | South America (wd:Q18)                                                            |
| Amazon rainforest (wd:Q177567) | location (wdt:P276)                            | Amazonia (wd:Q2841453)                                                            |
| Amazon rainforest (wd:Q177567) | population (wdt:P1082)                         | 34000000 (xsd:decimal)                                                            |
| Amazon rainforest (wd:Q177567) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                       |
| Amazon rainforest (wd:Q177567) | different from (wdt:P1889)                     | Panamazonia (wd:Q62096465)                                                        |
| ...                            | ...                                            | ...                                                                               |

[Tool]
Got 260 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                         | object                                                                                |
| ------------------------ | -------------------------------- | ---------------------------------------------------------------------------------------- |
| Congo basin (wd:Q932289) | instance of (wdt:P31)            | drainage basin (wd:Q166620)                                                              |
| Congo basin (wd:Q932289) | country (wdt:P17)                | Sudan (wd:Q1049)                                                                         |
| Congo basin (wd:Q932289) | coordinate location (wdt:P625)   | POINT(22.000000 0.000000) (geo:wktLiteral)                                               |
| Congo basin (wd:Q932289) | Commons category (wdt:P373)      | Congo Basin                                                                              |
| Congo basin (wd:Q932289) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/CongoLualaba%20watershed%20topo.png> |
| Congo basin (wd:Q932289) | different from (wdt:P1889)       | Congo (wd:Q2597556)                                                                      |
| Congo basin (wd:Q932289) | shares border with (wdt:P47)     | Zambezi Basin (wd:Q14594747)                                                             |
| Congo basin (wd:Q932289) | topic's main category (wdt:P910) | wd:Q8956164                                                                              |
| Congo basin (wd:Q932289) | area (wdt:P2046)                 | 1000000 (xsd:decimal)                                                                    |
| Congo basin (wd:Q932289) | drainage basin (wdt:P4614)       | Atlantic Ocean drainage basin (wd:Q44715398)                                             |
| ...                      | ...                              | ...                                                                                |

[Assistant] The Congo Basin has an area of 1,000,000 square kilometers according to the data retrieved. However, the area for the Amazon Rainforest could not be found in the provided data. Therefore, based on the available information, the Congo Basin's area is specified, but the Amazon Rainforest's area is not available here.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q125054 wdt:P17 ?country
}

Got 4 rows and 1 column:
| country                |
| ---------------------- |
| Germany (wd:Q183)      |
| United States (wd:Q30) |
| Belgium (wd:Q31)       |
| Netherlands (wd:Q55)   |

According to the data, ALDI is not listed as being in Italy. The countries associated with ALDI are Germany, United States, Belgium, and Netherlands.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Is ALDI also in Italy?

[Tool]
Top 10 entity alternatives:
1. Aldi, also known as Aldi Stores (wd:Q125054): brand name of two global discount supermarket chains
2. Aldi Suisse, also known as Aldi, Aldi Suisse AG (wd:Q111030009): Swiss company and subsidiary of Aldi/Hofer
3. Aldi (wd:Q37488907): family name
4. METTL7B, also known as ALDI, methyltransferase like 7B (wd:Q18053067): protein-coding gene in the species Homo sapiens
5. Aldi (wd:Q66263985): male given name
6. Methyltransferase like 7B, also known as ALDI, associated with lipid droplet protein 1, methyltransferase-like protein 7B, Mettl7b, thiol S-methyltransferase METTL7B (wd:Q28557934): mammalian protein found in Rattus norvegicus
7. Aldein, also known as Aldino (wd:Q373680): municipality in South Tyrol, Italy
8. Aldingen (wd:Q529710): municipality in Germany
9. pyrazinamide, also known as Zinamide®, PZA, Pyrizinamide, Pyrazinoic acid amide, Pyrazinecarboxamide (wd:Q417571): chemical compound
10. Altichiero, also known as Altichiero Da Zevio, Aldigheri, Altichiero di Domenico da Zevio, Alticjiero da Zevio, da Verona Altichiero (wd:Q379567): Italian painter (1330-1390), illuminator, painter

[Tool]
Got 346 rows and 3 columns, showing the first 10 rows below:
| subject           | property                                       | object                                                                       |
| ----------------- | ---------------------------------------------- | ---------------------------------------------------------------------------- |
| Aldi (wd:Q125054) | instance of (wdt:P31)                          | brand name (wd:Q2519914)                                                     |
| Aldi (wd:Q125054) | country (wdt:P17)                              | United States (wd:Q30)                                                       |
| Aldi (wd:Q125054) | Commons category (wdt:P373)                    | ALDI                                                                         |
| Aldi (wd:Q125054) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/ALDI%20Woerden%2002.JPG> |
| Aldi (wd:Q125054) | inception (wdt:P571)                           | 1946-01-01T00:00:00Z (xsd:dateTime)                                          |
| Aldi (wd:Q125054) | described at URL (wdt:P973)                    | <http://www.fundinguniverse.com/company-histories/aldi-group-history/>       |
| Aldi (wd:Q125054) | has part(s) (wdt:P527)                         | Aldi Nord (wd:Q41171373)                                                     |
| Aldi (wd:Q125054) | official website (wdt:P856)                    | <https://www.aldi.com>                                                       |
| Aldi (wd:Q125054) | award received (wdt:P166)                      | 'Verschlossene Auster' award (wd:Q2517928)                                   |
| Aldi (wd:Q125054) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                  |
| ...               | ...                                            | ...                                                                          |

[Tool]
Got 4 rows and 1 column:
| country                |
| ---------------------- |
| Germany (wd:Q183)      |
| United States (wd:Q30) |
| Belgium (wd:Q31)       |
| Netherlands (wd:Q55)   |

[Assistant]
The SPARQL query executed retrieves the countries associated with ALDI (wd:Q125054) via the `wdt:P17` (country) property. The results show Germany, United States, Belgium, and Netherlands, but **no entry for Italy** (wd:Q38).

Thus, based on the current Wikidata data, **ALDI is not listed as operating in Italy**.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?album WHERE {
  wd:Q106684208 wdt:P2354 ?album
}

After extensive querying, the specific albums Atif Aslam has been on could not be retrieved from Wikidata. The discography entry (Q4815772) and its related list (Q106684208) do not directly link to specific album entities. Further investigation or alternative data sources may be required.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What albums has Atif Aslam been on?

[Tool]
Top 10 entity alternatives:
1. Atif Aslam, also known as Muhammad Atif Aslam (wd:Q755830): Pakistani playback singer and songwriter, singer-songwriter, film actor, singer, actor
2. Aslem District, also known as Aslam (wd:Q4117502): District of Hajjah Governorate, Yemen
3. ATIF (wd:Q16868993): human settlement in Saudi Arabia
4. Atif (wd:Q56537554): family name
5. Atıf, also known as Atıf (first name), Atıf (given name) (wd:Q20669067): male given name
6. Aslam (wd:Q37471643): family name
7. Atif (wd:Q61780244): male given name
8. Nazir Ahmad Aslam, also known as Asl., N.A. Aslam, Aslam (wd:Q67187108): Pakistani entomologist (1918–1971), entomologist, coleopterist
9. Aslam, also known as أسلم (wd:Q28790443): male given name (أسلم)
10. Aslam (wd:Q65487248): German badminton player, badminton player

[Tool] Got no rows and 1 columns

[Tool]
Got 291 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                                |
| ----------------------- | -------------------------------- | ----------------------------------------------------------------------------------------- |
| Atif Aslam (wd:Q755830) | instance of (wdt:P31)            | human (wd:Q5)                                                                             |
| Atif Aslam (wd:Q755830) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                         |
| Atif Aslam (wd:Q755830) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                        |
| Atif Aslam (wd:Q755830) | given name (wdt:P735)            | Atif (wd:Q61780244)                                                                       |
| Atif Aslam (wd:Q755830) | date of birth (wdt:P569)         | 1983-03-12T00:00:00Z (xsd:dateTime)                                                       |
| Atif Aslam (wd:Q755830) | Commons category (wdt:P373)      | Atif Aslam                                                                                |
| Atif Aslam (wd:Q755830) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Atif%20Aslam%20in%20black%20coat.jpg> |
| Atif Aslam (wd:Q755830) | country of citizenship (wdt:P27) | Pakistan (wd:Q843)                                                                        |
| Atif Aslam (wd:Q755830) | family name (wdt:P734)           | Aslam (wd:Q37471643)                                                                      |
| Atif Aslam (wd:Q755830) | place of birth (wdt:P19)         | Wazirabad (wd:Q1026613)                                                                   |
| ...                     | ...                              | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as p/wdt): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. discography, also known as discography link, recording catalog (wd:P358 as p/wdt): item for list pages with discography of artist or band, list of works
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as p/wdt): identifier for a musical artist or author in the U.S. version of Apple Music
7. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
9. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Tool]
Got 1 row and 1 column:
| discography |
| ----------- |
| wd:Q4815772 |

[Tool]
Got 41 rows and 3 columns, showing the first 10 rows below:
| subject     | property                | object                                       |
| ----------- | ----------------------- | -------------------------------------------- |
| wd:Q4815772 | instance of (wdt:P31)   | Wikimedia artist discography (wd:Q104635718) |
| wd:Q4815772 | main subject (wdt:P921) | Atif Aslam (wd:Q755830)                      |
| wd:Q4815772 | has list (wdt:P2354)    | wd:Q106684208                                |
| wd:Q4815772 | wdt:P31279              | discography (wd:Q273057)                     |
| wd:Q4815772 | schema:description      | discografie van Atif Aslam (nl)              |
| wd:Q4815772 | schema:name             | Atif Aslam discography (en)                  |
| wd:Q4815772 | rdf:type                | wikibase:Item                                |
| wd:Q4815772 | rdfs:label              | Atif Aslam discography (en)                  |
| wd:Q4815772 | skos:altLabel           | discography from Atif Aslam (en)             |
| wd:Q4815772 | skos:prefLabel          | Atif Aslam discography (en)                  |
| ...         | ...                     | ...                                          |

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject       | property                             | object                                               |
| ------------- | ------------------------------------ | ---------------------------------------------------- |
| wd:Q106684208 | instance of (wdt:P31)                | Wikimedia albums discography (wd:Q59191021)          |
| wd:Q106684208 | part of (wdt:P361)                   | wd:Q4815772                                          |
| wd:Q106684208 | is a list of (wdt:P360)              | album (wd:Q482994)                                   |
| wd:Q106684208 | category related to list (wdt:P1754) | wd:Q8274618                                          |
| wd:Q106684208 | wdt:P31279                           | discography (wd:Q273057)                             |
| wd:Q106684208 | schema:description                   | Wikimedia albums discography (en)                    |
| wd:Q106684208 | schema:name                          | albaim de chuid Atif Aslam in ord croineolaíoch (ga) |
| wd:Q106684208 | rdf:type                             | wikibase:Item                                        |
| wd:Q106684208 | rdfs:label                           | albaim de chuid Atif Aslam in ord croineolaíoch (ga) |
| wd:Q106684208 | skos:altLabel                        | Atif Aslam albums discography (en)                   |
| ...           | ...                                  | ...                                                  |

[Tool] Got no rows and 1 columns

[Tool]
Got 1 row and 1 column:
| album              |
| ------------------ |
| album (wd:Q482994) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?album ) AS ?count ) WHERE {
  ?album wdt:P1851 wd:Q37150 .
  ?album wdt:P31 wd:Q210526
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How many studio albums has Lana Del Rey have?

[Tool]
Top 10 entity alternatives:
1. Lana Del Rey, also known as Lana Del Ray, May Jailer, Lizzy Grant, Sparkle Jump Rope Queen, Elizabeth Woolridge Grant (wd:Q37150): American singer-songwriter, singer-songwriter, recording artist, record producer, film actor, composer, singer, poet
2. Lana Del Rey, also known as Lana Del Rey EP (wd:Q1149043): 2012 EP by Lana Del Rey
3. Freak (Lana Del Rey song) (wd:Q22001985): 2016 single by Lana Del Rey
4. American (Lana Del Rey song) (wd:Q66817375): 2012 song by Lana Del Rey
5. Change (Lana Del Rey song) (wd:Q97159559): 2017 song by Lana Del Rey
6. Weekend Update: Lana Del Rey (wd:Q110060506): sketch from Saturday Night Live
7. Text Book (Lana Del Rey song) (wd:Q106936354)
8. Lana Del Rey's 2023–2024 tour, also known as Did You Know That There's a Tour Around the World, Did You Know That There's a Tunn...nder Ocean Blvd Promotional Tour (wd:Q121770780): concert tour by Lana Del Rey
9. Lana Del Rey’s American Grotesque (wd:Q126796381): scholarly article
10. Tough (Quavo and Lana Del Rey song) (wd:Q127446878): 2024 single by Quavo and Lana Del Rey

[Tool]
Got 1,236 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                         | object                                                                                |
| ------------------------ | -------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Lana Del Rey (wd:Q37150) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Lana Del Rey (wd:Q37150) | occupation (wdt:P106)            | poet (wd:Q49757)                                                                                |
| Lana Del Rey (wd:Q37150) | sex or gender (wdt:P21)          | female (wd:Q6581072)                                                                                |
| Lana Del Rey (wd:Q37150) | given name (wdt:P735)            | Elizabeth (wd:Q385468)                                                                                |
| Lana Del Rey (wd:Q37150) | date of birth (wdt:P569)         | 1985-06-21T00:00:00Z (xsd:dateTime)                                                                                |
| Lana Del Rey (wd:Q37150) | Commons category (wdt:P373)      | Lana Del Rey                                                                                |
| Lana Del Rey (wd:Q37150) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/LanaDRPrimavera310524%20%2832%20of%20147%29%20%2853765476960%29%20%28cropped%29.jpg> |
| Lana Del Rey (wd:Q37150) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                                |
| Lana Del Rey (wd:Q37150) | family name (wdt:P734)           | Grant (wd:Q17864440)                                                                                |
| Lana Del Rey (wd:Q37150) | place of birth (wdt:P19)         | New York City (wd:Q60)                                                                                |
| ...                      | ...                              | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): larger work that a given work was published in, like a book, journal or music album, part of
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): structure of a creative work
3. featured track(s), also known as songs, soundtrack, OST, music tracks, music track (wd:P10664 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): soundtrack of this audiovisual work
4. tracklist, also known as tracks, track listing, track list, songs, list of tracks (wd:P658 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): audio tracks contained in this release, has part(s)
5. record of, also known as is a record of, is record of, records (wd:P11851 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): state or event an object is a physical representation of
6. number of records, also known as entries, rows, records, quantitiy of records, number of rows (wd:P4876 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): number of values of an identifier or records in a catalog
7. soundtrack release, also known as soundtrack single, soundtrack extended play, soundtrack album, has soundtrack album, OST (wd:P406 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): music release that incorporates music directly recorded from the soundtrack of an audiovisual work
8. music created for, also known as music for, music for work, music made for, music made for work, music written for (wd:P9899 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): a work, event, etc. for which a musical composition was created ... was written; a film for which motion picture music was created), created for
9. personal best, also known as PR, record, personal record, PB (wd:P2415 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): an individual's best performance in a given discipline
10. MusicBrainz release group ID, also known as album MBID, single MBID, single ID (MusicBrainz), release group MBID, release group ID (MusicBrainz) (wd:P436 as pqn/ps/psv/pqv/wdt/prv/psn/prn/wdtn/pr/p/pq): identifier for a release group per the MusicBrainz open music encyclopedia (album, single, etc.)

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool] Stopped generation process