PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?birthDate WHERE {
  wd:Q13979 wdt:P170 ?creator .
  ?creator wdt:P569 ?birthDate .
}

The creator of Saturday Night Live, Lorne Michaels, was born on November 17, 1944.

[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 was the creator of saturday night live born?

[Tool]
Top 10 entity alternatives:
1. Saturday Night Live, also known as Saturday Night, NBC's Saturday Night (wd:Q13979): American late-night live television sketch comedy show
2. Saturday Night Live (wd:Q6122059): television series
3. Saturday Night Live (wd:Q23039888): tv show aired in 2016
4. Saturday Night Live (wd:Q28452163): album by Trouble Funk
5. Saturday Night Live Korea, also known as SNL Korea, SNL.KOREA, SNL Korea 6 (wd:Q7426718): 2011 South Korean television series
6. Le Saturday Night Live (wd:Q28194825): French late-night live television comedy show
7. Saturday Night Live Japan (wd:Q11304712): Japanese TV series or program
8. history of Saturday Night Live, also known as Saturday Night Live history (wd:Q5866387): List article
9. Katy Perry/Robyn, also known as Saturday Night Live Season 37 Episode 9, Saturday Night Live S37E9, Saturday Night Live, season 37 episode 9 (wd:Q5483492): episode of Saturday Night Live (S37 E9)
10. Saturday Night Live Samurai (wd:Q7426709): recurring SNL character, samurai

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as p/wdt): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
4. presenter, also known as TV host, TV presenter, presented by, hostess, hosted by (wd:P371 as p/wdt): main role in presenting a radio or television program or a performing arts show, significant person, cast member
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. director, also known as film director, movie director, game director, directed by (wd:P57 as p/wdt): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
10. MusicBrainz artist ID, also known as MB artist ID, MBID artist (wd:P434 as p/wdt/wdtn): identifier for an artist in the MusicBrainz open music encyclopedia

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                         | property           | object                      |
| ------------------------------- | ------------------ | --------------------------- |
| Saturday Night Live (wd:Q13979) | creator (wdt:P170) | Lorne Michaels (wd:Q521221) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q1297 wdt:P206 wd:Q1169 .
}

Yes, Chicago is located at Lake Michigan.

[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 Chicago located at Lake Michigan?

[Tool]
Top 10 entity alternatives:
1. Chicago, also known as The Second City, The Queen of the West, The Windy City, City of Broad Shoulders, City by the Lake (wd:Q1297): city and county seat of Cook County, Illinois, United States of America
2. Chicago, also known as City of Chicago, City of Broad Shoulders, The Queen of the West, City by the Lake, Chi-Town (wd:Q1297): city and county seat of Cook County, Illinois, United States of America
3. Chicago (wd:Q189889): 2002 film by Rob Marshall
4. Chicago, also known as Chicago (band), Chicago (musical group), Chicago Transit Authority, The Big Thing (wd:Q371938): American rock band
5. 334 Chicago, also known as (334) Chicago, Chicago (wd:Q151343): outer main-belt asteroid
6. Willard, also known as Chicago, Chicago Junction, Willard, OH, Willard, Ohio (wd:Q2233885): city in Huron County, Ohio, United States
7. Chicago (wd:Q656285): 1975 musical by John Kander and Fred Ebb
8. Chicago (wd:Q3281484): 1927 film by Frank John Urson
9. Chicago, also known as One Chicago (wd:Q20649503): American television series franchise
10. Chicago, also known as Chicago II (wd:Q2451193): 1970 studio album by Chicago

[Tool]
Top 10 entity alternatives:
1. Lake Michigan, also known as Michigan (wd:Q1169): one of the Great Lakes of North America
2. Lake Michigan (wd:Q92397898): photograph by Harry Callahan
3. Lake Michigan (wd:Q64154858): photograph in the National Gallery of Art (NGA 92925)
4. Lake Michigan (wd:Q64154774): photograph in the National Gallery of Art (NGA 92585)
5. Lake Michigan (wd:Q113239022): scientific article published on 17 April 2022
6. Lake County, also known as Aishcum County, Michigan, Lake County, Michigan, Lake County, MI, Aishcum County (wd:Q63771): county in Michigan, United States
7. Lake City, also known as Lake City, MI, Lake City, Michigan (wd:Q2061014): city and county seat of Missaukee, Michigan, United States
8. Lake Angelus, also known as Lake Angelus, MI, Lake Angelus, Michigan (wd:Q940731): city in Oakland County, Michigan
9. Walled Lake, also known as Walled Lake, Michigan, Walled Lake, MI (wd:Q2847502): city in Oakland County, Michigan, United States
10. Sylvan Lake, also known as Sylvan Lake, MI, Sylvan Lake, Michigan (wd:Q3295703): human settlement in Oakland County, Michigan, United States of America

[Tool]
Top 10 property alternatives:
1. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. water as percent of area, also known as H₂O%, percent of area that is water (wd:P2927 as p/wdt): which percentage of the territory of this item inside coast line...ternational bounderies is water. Use "percent" (Q11229)  as unit
4. 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
5. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
6. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
7. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
8. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Tool]
Got 2 rows and 1 column:
| body                       |
| -------------------------- |
| Lake Michigan (wd:Q1169)   |
| Chicago River (wd:Q643284) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?personLabel WHERE {
  wd:Q761383 wdt:P138 ?person .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}

Riemannian geometry is named after Bernhard Riemann (wd:Q42299).

[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] After whom is the Riemannian geometry named?

[Tool]
Top 10 entity alternatives:
1. Riemannian geometry (wd:Q761383): branch of differential geometry dealing with (generalized) Riemannian manifolds
2. Riemannian Geometry (wd:Q60133667): scientific article published in Nature
3. Riemannian Geometry. (wd:Q115229154): scientific article published in 1927
4. Riemannian Geometry. (wd:Q115229007): scientific article published in 1985
5. Riemannian geometry (wd:Q115364222): scientific article published in 1989
6. Riemannian geometry (wd:Q115158804): scientific article published in 1992
7. Discrete Riemannian geometry (wd:Q115328318): scientific article published in 1999
8. GENERALIZED RIEMANNIAN GEOMETRY. (wd:Q36396185): scientific article
9. Generalizing Riemannian geometry (wd:Q115333889): scientific article published in 1973
10. Book Review: Riemannian geometry (wd:Q115282274): scientific article published in 1989

[Tool]
Got 1 row and 1 column:
| person                       |
| ---------------------------- |
| Bernhard Riemann (wd:Q42299) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?film ) AS ?count ) WHERE {
  ?film wdt:P57 wd:Q42574 ; wdt:P31 wd:Q11424 ; wdt:P577 ?date .
  FILTER ( YEAR( ?date ) < 2010 )
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 11 (xsd:int) |

The query returns the number of films directed by James Cameron released before 2010.

[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 movies has James Cameron directed prior to the year 2010?

[Tool]
Top 10 entity alternatives:
1. James Cameron, also known as James Francis Cameron, J. F. Cameron, J F Cameron, Jim Cameron, J.F. Cameron (wd:Q42574): Canadian filmmaker (born 1954), television producer, philanthropist, film director, film producer, screenwriter, film editor, inventor, director, engineer, explorer, actor
2. James Cameron (wd:Q3160968): 19th century Scottish artisan missionary (1800–1875), artisan
3. James Cameron (wd:Q6130912): South African cricketer, cricketer
4. James Cameron, also known as James Herbert Cameron, Jr. (wd:Q10305062): American civil rights activist (1914-2006), civil rights advocate, writer
5. James Cameron (wd:Q6130916): Scottish footballer (1868-1934), association football manager, association football player
6. James Cameron, also known as Mark James Walter Cameron (wd:Q6130915): British journalist (1911–1985), television presenter, autobiographer, journalist
7. Cameron James, also known as Cameron Lewis James (wd:Q24060497): association football player (born 1998), association football player
8. James Cameron, also known as James Gair Cameron (wd:Q6130910): Zimbabwean cricketer, cricketer
9. James R. Cameron, also known as James Cameron, James Reese Cameron (wd:Q6141583): American historian (born 1929), historian
10. James Cameron (wd:Q119824536): association football player, Canadian soccer player

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q623561 wdt:P61 ?inventor ; wdt:P138 ?namesake .
  FILTER ( ?inventor = ?namesake )
}

No, Dr. Pepper is not named after its inventor.

[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 Dr. Pepper named after its inventor?

[Tool]
Top 10 entity alternatives:
1. Dr Pepper, also known as Dr. Pepper (wd:Q623561): carbonated soft drink
2. Keurig Dr Pepper, also known as Green Mountain Coffee, Green Mountain Coffee Roasters, Keurig Green Mountain (wd:Q3116111): American beverage company
3. Comerica Center, also known as Deja Blue Arena, Dr Pepper Arena (wd:Q637300): stadium
4. Dr. Pepper Museum (wd:Q25421126): museum
5. Dublin Dr Pepper (wd:Q5310881): popular name for a style of Dr Pepper soft drink
6. Dr. Pepper Syrup Plant, also known as Dr. Pepper Building (wd:Q124038489): historic building in Birmingham, Alabama, United States
7. Diet Dr Pepper (wd:Q19903950): low-calorie soft drink
8. Pepper Drain (wd:Q49265671): canal in Imperial County, California, United States of America
9. Dr. William Pepper (wd:Q94045516): scientific article published in September 1898
10. Dr. Peppercorn (wd:Q20536983): painting by Gene Davis

[Tool]
Got 1 row and 3 columns:
| subject                | property                         | object                                   |
| ---------------------- | -------------------------------- | ---------------------------------------- |
| Dr Pepper (wd:Q623561) | discoverer or inventor (wdt:P61) | Charles Courtice Alderton (wd:Q24004555) |

[Tool]
Got 1 row and 3 columns:
| subject                | property               | object                          |
| ---------------------- | ---------------------- | ------------------------------- |
| Dr Pepper (wd:Q623561) | named after (wdt:P138) | Charles T. Pepper (wd:Q5082829) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?album ?albumLabel ?date WHERE {
  ?album wdt:P175 wd:Q238819 ; wdt:P31 wd:Q482994 ; wdt:P577 ?date .
  OPTIONAL {
    ?album rdfs:label ?albumLabel FILTER ( LANG( ?albumLabel ) = "en" )
  }
}
ORDER BY ?date
LIMIT 1

The first (earliest) studio album by Jay Chou is Jay (wd:Q221115).

[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] The first album of Jay Chou

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
3. Jaya Choudhary (wd:Q88317282): researcher
4. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
5. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
6. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
7. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
8. Jay Chou 2007 World Tour Concert Live (wd:Q1100149): live album
9. J, also known as ᴊ, Juliett, Juliet, j, jay (wd:Q9773): 10th-17th letter of Latin alphabets
10. Eurasian Jay, also known as Garrulus glandarius, Jay, European Jay (wd:Q25354): species of bird

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Redemption (Jay Rock album) (wd:Q55224911): album by Jay Rock
3. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
4. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
5. Jaya Choudhary (wd:Q88317282): researcher
6. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
7. MTV Unplugged (Jay-Z album) (wd:Q1449420): 2001 live album by Jay-Z with The Roots
8. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
9. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
10. Jay Chou 2007 World Tour Concert Live (wd:Q1100149): live album

[Tool]
Top 10 entity alternatives:
1. studio album (wd:Q208569): album type of audio recordings made up of tracks recorded in a recording studio
2. studio album (wd:L593448-F1)
3. studio album (wd:L593448)
4. studio album (wd:L592977-S1)
5. Jake Bugg, also known as first studio album (wd:Q3806273): 2012 album by Jake Bugg
6. instrumental studio album (wd:Q109577962): studio album with instrumental music
7. double studio album (wd:Q110735929): studio album which is a double album
8. studio album reissue, also known as reissued studio album (wd:Q116481026): reissued studio album
9. a studio album (wd:L613582-S1)
10. studio albums (wd:L593448-F2)

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Redemption (Jay Rock album) (wd:Q55224911): album by Jay Rock
3. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
4. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
5. Jaya Choudhary (wd:Q88317282): researcher
6. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
7. MTV Unplugged (Jay-Z album) (wd:Q1449420): 2001 live album by Jay-Z with The Roots
8. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
9. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
10. Jay Chou 2007 World Tour Concert Live (wd:Q1100149): live album

[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. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos
7. 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
8. 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
9. 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
10. 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

No other items found

[Tool]
Top 10 entity alternatives:
1. album, also known as full album, record album, music album, full-length album, audio album (wd:Q482994): grouping of album releases by an artist usually released at the ...racks but in different formats for consumption (digital, CD, LP)
2. Cukup Dikenang Saja, also known as music album (wd:Q105089944): 2020 single by The Junas
3. It's Uptown, also known as music álbum (wd:Q131364089): Geroge Benson álbum
4. Music Album (wd:Q6941432): Canadian music television series
5. published in, also known as work, volume of the book, volume of, venue, track on album (wd:P1433): larger work that a given work was published in, like a book, journal or music album
6. video album, also known as music video album (wd:Q10590726): audio-visual music release like a compilation of music videos or a filmed concert performance
7. Church Music (album) (wd:Q5116651): 2009 studio album by David Crowder Band
8. Christmas-themed album, also known as Christmas album, Christmas music album (wd:Q31281198): music album made up of tracks with seasonal, Christmas-themed music
9. album musical (wd:Q4712779): recording that sounds like an original cast album but is created...recording medium and is complete entertainment product in itself
10. Meekend Music, also known as Meekend Music (album) (wd:Q39073744): 2017 extended play

[Tool]
Got 290 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                      |
| ----------------------- | -------------------------------- | --------------------------------------------------------------------------- |
| Opiliaceae (wd:Q131619) | instance of (wdt:P31)            | taxon (wd:Q16521)                                                           |
| Opiliaceae (wd:Q131619) | Commons category (wdt:P373)      | Opiliaceae                                                                  |
| Opiliaceae (wd:Q131619) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Opilia%20amentacea.jpg> |
| Opiliaceae (wd:Q131619) | parent taxon (wdt:P171)          | Santalales (wd:Q21851)                                                      |
| Opiliaceae (wd:Q131619) | taxon name (wdt:P225)            | Opiliaceae                                                                  |
| Opiliaceae (wd:Q131619) | taxon rank (wdt:P105)            | family (wd:Q35409)                                                          |
| Opiliaceae (wd:Q131619) | described by source (wdt:P1343)  | Flora Reipublicae Popularis Sinicae, volume 24 (wd:Q112869401)              |
| Opiliaceae (wd:Q131619) | taxon common name (wdt:P1843)    | 山柚子科 (zh)                                                                   |
| Opiliaceae (wd:Q131619) | topic's main category (wdt:P910) | wd:Q8702207                                                                 |
| Opiliaceae (wd:Q131619) | GRIN URL (wdt:P1421)             | <https://npgsweb.ars-grin.gov/gringlobal/taxonomyfamily.aspx?id=795>        |
| ...                     | ...                              | ...                                                                         |

[Tool] Got no rows and 3 columns

[Tool]
Got 10 rows and 3 columns:
| album                              | albumLabel                | date                                |
| ---------------------------------- | ------------------------- | ----------------------------------- |
| Jay (wd:Q221115)                   | Jay (en)                  | 2000-11-06T00:00:00Z (xsd:dateTime) |
| Jay (wd:Q221115)                   | Jay (en)                  | 2000-11-07T00:00:00Z (xsd:dateTime) |
| Fantasy (wd:Q595532)               | Fantasy (en)              | 2001-09-14T00:00:00Z (xsd:dateTime) |
| The Eight Dimensions (wd:Q680715)  | The Eight Dimensions (en) | 2002-01-01T00:00:00Z (xsd:dateTime) |
| The One Live CD (wd:Q1319607)      | The One Live CD (en)      | 2002-01-01T00:00:00Z (xsd:dateTime) |
| Partners (wd:Q1230396)             | Partners (en)             | 2002-01-01T00:00:00Z (xsd:dateTime) |
| The One Concert Live (wd:Q7755027) | The One Concert Live (en) | 2002-01-01T00:00:00Z (xsd:dateTime) |
| The Eight Dimensions (wd:Q680715)  | The Eight Dimensions (en) | 2002-07-01T00:00:00Z (xsd:dateTime) |
| Ye Hui Mei (wd:Q699622)            | Ye Hui Mei (en)           | 2003-01-01T00:00:00Z (xsd:dateTime) |
| Common Jasmin Orange (wd:Q262153)  | Common Jasmin Orange (en) | 2004-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?show ?showLabel ?firstAirDate WHERE {
  wd:Q13979 wdt:P580 ?snlDate .
  ?show wdt:P580 ?firstAirDate ; wdt:P31 / wdt:P279 * wd:Q5398426 .
  FILTER ( YEAR( ?firstAirDate ) = YEAR( ?snlDate ) ) .
  OPTIONAL {
    ?show rdfs:label ?showLabel FILTER ( LANG( ?showLabel ) = "en" )
  }
}
ORDER BY ?firstAirDate

The query returns all television series (?show) whose first air date (?firstAirDate) falls in the same year (1975) as Saturday Night Live (wd:Q13979). Each result includes the show’s English label (?showLabel) and its first air date.

[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 shows aired for the first time the same year as Saturday Night Live ?

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as p/wdt): language or languages a person has learned from early childhood, languages spoken, written or signed
2. 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
3. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
6. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as p/wdt/wdtn): authority control identifier in WorldCat's “FAST Linked Data” authority file
7. 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)
8. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Saturday Night Live, also known as Saturday Night, NBC's Saturday Night (wd:Q13979): American late-night live television sketch comedy show
2. Saturday Night Live (wd:Q6122059): television series
3. Saturday Night Live (wd:Q23039888): tv show aired in 2016
4. Saturday Night Live (wd:Q28452163): album by Trouble Funk
5. Saturday Night Live Korea, also known as SNL Korea, SNL.KOREA, SNL Korea 6 (wd:Q7426718): 2011 South Korean television series
6. Le Saturday Night Live (wd:Q28194825): French late-night live television comedy show
7. Saturday Night Live Japan (wd:Q11304712): Japanese TV series or program
8. history of Saturday Night Live, also known as Saturday Night Live history (wd:Q5866387): List article
9. Katy Perry/Robyn, also known as Saturday Night Live Season 37 Episode 9, Saturday Night Live S37E9, Saturday Night Live, season 37 episode 9 (wd:Q5483492): episode of Saturday Night Live (S37 E9)
10. Saturday Night Live Samurai (wd:Q7426709): recurring SNL character, samurai

[Tool] Got no rows and 1 columns

[Tool]
Top 10 property alternatives:
1. first flight, also known as date of the first flight, time of first flight, maiden launch, maiden flight, first launch (wd:P606 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date or point in time on which aircraft, rocket, or airline first flew, significant event
2. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
3. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date or point in time on which a piece or class of equipment entered operational service, start time
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date or point in time when a work was first published or released, point in time
5. clearance, also known as span height, height of deck bottom, bridge height, height above water, height above valley floor (wd:P2793 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): distance between surface under bridge and bottom of a bridge deck
6. first line, also known as incipit, opening line, fl, first verse, first sentence (wd:P1922 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): first line (incipit) of a poem, first sentence of a novel, speech, etc.
7. study or design for, also known as design for, draft for, first version of, preparatory work for, study for (wd:P6606 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
8. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): participant for whom this is their debut appearance in a series of events
9. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): work in which a fictional/mythical character or entity first appeared, present in work
10. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): location where a work was first debuted, performed or broadcasted, significant place

[Tool]
Got 1 row and 1 column:
| start                               |
| ----------------------------------- |
| 1975-10-11T00:00:00Z (xsd:dateTime) |

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://qlever.cs.uni-freiburg.de:80/api/wikidata-sebastian>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN">
<html><head>
<title>301 Moved Permanently</title>'

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. Television series (wd:Q53702009): scientific article
3. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
4. television series (wd:L501100-S2)
5. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
6. news broadcasting, also known as news channel, television broadcasting of news, news television series (wd:Q1962634): news published over radio or television
7. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
8. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
9. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre
10. drama television series, also known as TV drama series, television drama series, drama TV series, drama series, dramatic television series (wd:Q1366112): television series genre

[Tool]
Got 10 rows and 3 columns:
| show                            | label                  | date                                |
| ------------------------------- | ---------------------- | ----------------------------------- |
| Gabriela (wd:Q10287918)         | Gabriela (en)          | 1975-04-14T00:00:00Z (xsd:dateTime) |
| On the Mat (wd:Q10340891)       | On the Mat (en)        | 1975-01-01T00:00:00Z (xsd:dateTime) |
| Cher (wd:Q10381261)             | Cher (en)              | 1975-02-16T00:00:00Z (xsd:dateTime) |
| Carry On Laughing (wd:Q1045360) | Carry On Laughing (en) | 1975-01-04T00:00:00Z (xsd:dateTime) |
| Space: 1999 (wd:Q1045743)       | Space: 1999 (en)       | 1975-09-04T00:00:00Z (xsd:dateTime) |
| Madame Bovary (wd:Q105686573)   | Madame Bovary (en)     | 1975-09-22T00:00:00Z (xsd:dateTime) |
| wd:Q108186633                   |                        | 1975-03-23T00:00:00Z (xsd:dateTime) |
| Ellery Queen (wd:Q1083354)      | Ellery Queen (en)      | 1975-09-11T00:00:00Z (xsd:dateTime) |
| wd:Q11262150                    |                        | 1975-10-06T00:00:00Z (xsd:dateTime) |
| Utánam, srácok! (wd:Q113129493) | Utánam, srácok! (en)   | 1975-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Got 249 rows and 3 columns, showing the first 5 and last 5 rows below:
| show                                                 | label                                      | date                                |
| ---------------------------------------------------- | ------------------------------------------ | ----------------------------------- |
| wd:Q28319174                                         |                                            | 1975-01-01T00:00:00Z (xsd:dateTime) |
| Doña Bárbara (wd:Q5303839)                           | Doña Bárbara (en)                          | 1975-01-01T00:00:00Z (xsd:dateTime) |
| Close to Home (wd:Q5135264)                          | Close to Home (en)                         | 1975-01-01T00:00:00Z (xsd:dateTime) |
| WCW WorldWide (wd:Q4923560)                          | WCW WorldWide (en)                         | 1975-01-01T00:00:00Z (xsd:dateTime) |
| The Rise And Fall Of Wellington Boots (wd:Q48816793) | The Rise And Fall Of Wellington Boots (en) | 1975-01-01T00:00:00Z (xsd:dateTime) |
| ...                                                  | ...                                        | ...                                 |
| Just for Fun (wd:Q17108266)                          | Just for Fun (en)                          | 1975-12-16T00:00:00Z (xsd:dateTime) |
| One Day at a Time (wd:Q1248669)                      | One Day at a Time (en)                     | 1975-12-16T00:00:00Z (xsd:dateTime) |
| The Blue Knight (wd:Q2849711)                        | The Blue Knight (en)                       | 1975-12-17T00:00:00Z (xsd:dateTime) |
| My z konce sveta (wd:Q12039076)                      | My z konce sveta (en)                      | 1975-12-22T00:00:00Z (xsd:dateTime) |
| The Neighbors (wd:Q7753387)                          | The Neighbors (en)                         | 1975-12-29T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel ( COUNT( ?final ) AS ?wins ) WHERE {
  ?final wdt:P31 wd:Q842375 ; wdt:P1346 ?team .
  ?team rdfs:label ?teamLabel
  FILTER ( LANG( ?teamLabel ) = "en" ) .
}
GROUP BY ?team ?teamLabel
ORDER BY DESC ( ?wins )
LIMIT 2

The teams are the Boston Celtics with 17 championships and the Los Angeles Lakers with 16 championships.

[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 NBA teams have won the most seasons?

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
2. points for, also known as championship points, competition points, league points, pf, points (wd:P1358 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of points in a league table or decathlon. (Use P1351 for goals/points in a match)
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): league or competition in which team or player has played, or in which an event occurs, participant in
4. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): discipline an athlete competed in within a sport, field of work
5. competition won, also known as won event, won, winner of, victory (wd:P2522 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): competition or sports event won by the subject, participant in
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): award or recognition received by a person, organization or creative work
7. final event (wd:P3967 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): final event of a competition
8. sports league level, also known as league level, sport league level, level on sport league pyramid, level on league pyramid, level on pyramid (wd:P3983 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): the level of the sport league in the sport league system
9. sports competition competed at (wd:P5249 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): edition of sports competitions at which the club or team that pl...ple: 2012–13 FC Barcelona season → 2012–13 UEFA Champions League
10. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma

[Tool]
Top 10 entity alternatives:
1. NBA Finals, also known as NBA World Championship Series [until 1987], NBA title, National Basketball Association ...Championship Series [until 1987], BAA World Championship Series [1947-49], Basketball Association of Americ...ld Championship Series [1947-49] (wd:Q842375): championship series of the National Basketball Association, annu...al Basketball Association World Championship Series through 1987
2. Bill Russell NBA Finals Most Valuable Player Award, also known as Bill Russell NBA Finals MVP Award, NBA Finals Most Valuable Player, NBA Finals Most Valuable Player Award, NBA Finals MVP, NBA Finals MVP Award (wd:Q739499): award
3. 2022 NBA Finals (wd:Q112083544): 2022 edition of the NBA Finals
4. 2019 NBA Finals (wd:Q63940565): 2019 edition of the NBA Finals, between the Golden State Warriors and the Toronto Raptors
5. NBA conference finals, also known as National Basketball Association conference finals (wd:Q2628047): Eastern and Western championship series of the NBA
6. 2023 NBA Finals (wd:Q118126592): 2023 edition of the NBA Finals
7. 2021 NBA Finals (wd:Q107377340): 2021 edition of the NBA Finals between the Phoenix Suns and Milwaukee Bucks
8. 2008 NBA Finals (wd:Q2036161): 2008 basketball championship series
9. 2012 NBA Finals (wd:Q2628013): 2012 basketball championship series
10. 2016 NBA Finals (wd:Q24264147): 2016 edition of the Finals between the Cleveland Cavaliers and Golden State Warriors

[Tool]
Top 10 entity alternatives:
1. 2007–08 NBA season, also known as 2007-08 NBA season (wd:Q1121549): sports season
2. 2003–04 NBA season, also known as 2003-04 NBA season (wd:Q1132659): sports season
3. 2012–13 NBA season, also known as 2012-13 NBA season (wd:Q113619): sports season
4. 2000–01 NBA season, also known as 2000-01 NBA season (wd:Q1132667): sports season
5. 1999–2000 NBA season, also known as 1999-2000 NBA season (wd:Q1132641): sports season
6. 2016–17 NBA season, also known as 2016-17 NBA season (wd:Q23939796): 2016–2017 season of the National Basketball Association
7. 2004–05 NBA season, also known as 2004-05 NBA season (wd:Q941115): sports season
8. 1998–99 NBA season, also known as 1998-99 NBA season (wd:Q1321776): sports season
9. 2002–03 NBA season, also known as 2002-03 NBA season (wd:Q1135932): sports season
10. 2005–06 NBA season, also known as 2005-06 NBA season (wd:Q1142320): sports season

[Tool]
Got 168 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                         | object                              |
| -------------------------------- | -------------------------------- | ----------------------------------- |
| 2007–08 NBA season (wd:Q1121549) | instance of (wdt:P31)            | season (wd:Q27020041)               |
| 2007–08 NBA season (wd:Q1121549) | country (wdt:P17)                | United States (wd:Q30)              |
| 2007–08 NBA season (wd:Q1121549) | Commons category (wdt:P373)      | 2007–08 NBA season                  |
| 2007–08 NBA season (wd:Q1121549) | location (wdt:P276)              | United States (wd:Q30)              |
| 2007–08 NBA season (wd:Q1121549) | sport (wdt:P641)                 | basketball (wd:Q5372)               |
| 2007–08 NBA season (wd:Q1121549) | start time (wdt:P580)            | 2007-10-30T00:00:00Z (xsd:dateTime) |
| 2007–08 NBA season (wd:Q1121549) | topic's main category (wdt:P910) | wd:Q8194136                         |
| 2007–08 NBA season (wd:Q1121549) | end time (wdt:P582)              | 2008-06-17T00:00:00Z (xsd:dateTime) |
| 2007–08 NBA season (wd:Q1121549) | winner (wdt:P1346)               | Boston Celtics (wd:Q131371)         |
| 2007–08 NBA season (wd:Q1121549) | competition class (wdt:P2094)    | men's basketball (wd:Q46343203)     |
| ...                              | ...                              | ...                                 |

[Tool]
Top 10 entity alternatives:
1. 2007–08 NBA season, also known as 2007-08 NBA season (wd:Q1121549): sports season
2. 2003–04 NBA season, also known as 2003-04 NBA season (wd:Q1132659): sports season
3. 2012–13 NBA season, also known as 2012-13 NBA season (wd:Q113619): sports season
4. 2000–01 NBA season, also known as 2000-01 NBA season (wd:Q1132667): sports season
5. 1999–2000 NBA season, also known as 1999-2000 NBA season (wd:Q1132641): sports season
6. 2016–17 NBA season, also known as 2016-17 NBA season (wd:Q23939796): 2016–2017 season of the National Basketball Association
7. 2004–05 NBA season, also known as 2004-05 NBA season (wd:Q941115): sports season
8. 1998–99 NBA season, also known as 1998-99 NBA season (wd:Q1321776): sports season
9. 2002–03 NBA season, also known as 2002-03 NBA season (wd:Q1135932): sports season
10. 2005–06 NBA season, also known as 2005-06 NBA season (wd:Q1142320): sports season

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 5 rows and 3 columns:
| team                               | teamLabel                  | wins         |
| ---------------------------------- | -------------------------- | ------------ |
| Boston Celtics (wd:Q131371)        | Boston Celtics (en)        | 17 (xsd:int) |
| Los Angeles Lakers (wd:Q121783)    | Los Angeles Lakers (en)    | 16 (xsd:int) |
| Chicago Bulls (wd:Q128109)         | Chicago Bulls (en)         | 6 (xsd:int)  |
| San Antonio Spurs (wd:Q159729)     | San Antonio Spurs (en)     | 5 (xsd:int)  |
| Golden State Warriors (wd:Q157376) | Golden State Warriors (en) | 4 (xsd:int)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?height WHERE {
  wd:Q4176 wdt:P2048 ?height .
}

The Cologne Cathedral has a height of 157 metres.

[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 high is the Cologne Cathedral ?

[Tool]
Top 10 entity alternatives:
1. Cologne Cathedral, also known as High Cathedral of St. Peter (wd:Q4176): Roman-Catholic cathedral in Cologne, Germany
2. Cologne Cathedral (wd:Q20891184): painting by Oskar Kokoschka
3. Cologne Cathedral Seal (wd:Q1795817): part of Cologne Cathedral
4. Baptistry Cologne Cathedral (wd:Q106498805)
5. Cologne Cathedral, 1869 (wd:Q119111134): painting by James Webb (1835–1895), Bristol Museum & Art Gallery
6. Bells of Cologne Cathedral (wd:Q1795814)
7. Finials of Cologne Cathedral (wd:Q1408999): cologne cathedral
8. Organs of Cologne Cathedral, also known as Organs in Cologne Cathedral (wd:Q7102106)
9. The Beggar from Cologne Cathedral, also known as Beggar from Cologne Cathedral (wd:Q15241065): 1927 film by Rolf Randolf
10. Surroundings of Cologne Cathedral (wd:Q65233962): cologne Cathedral surroundings

[Tool]
Top 10 property alternatives:
1. clearance, also known as span height, height of deck bottom, bridge height, height above water, height above valley floor (wd:P2793 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): distance between surface under bridge and bottom of a bridge deck
2. height, also known as heighth, size, depth over terrain (wd:P2048 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): vertical length of an entity, length
3. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): height of the item (geographical object) as measured relative to sea level
4. height of center of mass, also known as center of mass height, centre of gravity height, centre of mass height, CG height, CGZ (wd:P8497 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): distance between the center of gravity and the bottom of this object
5. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): length of time of an event or process
6. length, also known as size, long, LOA, distance, dimension (wd:P2043 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): measured dimension of an object
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): area occupied by an object
8. width, also known as breadth, bus width, size (wd:P2049 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): width of an object, length
9. height of letters (wd:P12549 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): height of the letters of an inscription, height
10. entry height (wd:P13238 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): height of the entrance above ground level for boarding vehicles

[Tool]
Got 1 row and 2 columns:
| height            | heightLabel |
| ----------------- | ----------- |
| 157 (xsd:decimal) |             |

[Tool]
Got 1 row and 3 columns:
| heightValue       | unit              | unitLabel  |
| ----------------- | ----------------- | ---------- |
| 157 (xsd:decimal) | metre (wd:Q11573) | metre (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  wd:Q765165 p:P39 ?brezhnevStmt .
  ?brezhnevStmt ps:P39 wd:Q1048744 ; pq:P580 ?brezhnevStart .
  ?person wdt:P31 wd:Q5 ; p:P39 ?stmt .
  ?stmt ps:P39 wd:Q1048744 ; pq:P580 ?start .
  FILTER ( ?start < ?brezhnevStart ) .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

There were 2 General Secretaries of the CPSU before Leonid Brezhnev.

[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 General Secretaries of the CPSU were there before Leonid Brezhnev?

[Tool]
Top 10 entity alternatives:
1. General Secretary of the Communist Party of the Soviet Union, also known as First Secretary of the Communist Party of the Soviet Union, General Secretary of the Soviet Union, Gensek of the CPSU (wd:Q1048744): de facto head of state of the Soviet Union and dirigent of the Communist Party of the Soviet Union
2. Secretary of the Communist Party of the Soviet Union (wd:Q115147301)
3. General Department of the Communist Party of the Soviet Union (wd:Q16682297): organization
4. General Secretary Xi Jin-ping’s ...and Their Practical Significance (wd:Q120857259): scholarly article in Studies on Mao Zedong and Deng Xiaoping Theories, no. 9, 2019
5. Communist Party of the Soviet Union, also known as Bolshevik Party, CPSU, RCP(b), Russian Communist Party (Bolsheviks), All-Union Communist Party (Bolsheviks) (wd:Q79854): Marxist–Leninist founding and ruling party of the Soviet Union
6. Communist Party of the Soviet Union (wd:Q4229911): Political party founded in 2001
7. Communist Party of the Soviet Union (wd:Q3701765): Political party founded in 1992
8. Appeal to the General Secretary ...States of America, Ronald Reagan (wd:Q43929775): scientific article published on July 13, 1985
9. General Secretary of the Chinese Communist Party, also known as CCP General Secretary, General Secretary of the Communist Party of China, General Secretary of the Central...e of the Chinese Communist Party, General Secretary, General Secretary of the CCP (wd:Q849418): head of the Chinese Communist Party (CCP) and de facto leader of China
10. Congress of the Communist Party of the Soviet Union (wd:Q2415599): supreme decision-making body of the Communist Party of the Soviet Union

[Tool]
Top 10 entity alternatives:
1. Leonid Brezhnev, also known as Brezhnev, Leonid Ilyich Brezhnev (wd:Q765165): General Secretary of the Communist Party of the Soviet Union (1906–1982), military personnel, politician, engineer, surveyor
2. Admiral Kuznetsov, also known as Admiral Flota Sovetskovo Soyuza Kuznetsov, aircraft carrier Admiral Kuznetsov, Leonid Brezhnev, Riga, Tbilisi (wd:Q274924): 1985 Kuznetsov-class aircraft carrier
3. Starry Metropolis, also known as Neptune, Olivia, IMO 7359498, Kareliya, Leonid Brezhnev (wd:Q22968553): ship built in 1976
4. Leonid Brezhnev (wd:Q47510509): painting by Boris Chaliapin
5. Leonid Brezhnev, also known as Whiskey on the Rocks Leonid Brezhnev (wd:Q131583282): Leonid Brezhnev as depicted in television series Whiskey on the Rocks, politician
6. Leonid Brezhnev (wd:Q58345911): Scientific article (April 2014)
7. Leonid Brezhnev (wd:Q47511657): painting by Harvey Simpson
8. Leonid Brezhnev (wd:Q47510378): painting by Burton Philip Silverman
9. Leonid Brezhnev (wd:Q47509621): painting by Boris Artzybasheff
10. Yuri Brezhnev, also known as Yuri Leonidovich Brezhnev (wd:Q8061482): Soviet politician (1933-2013), politician

[Tool]
Got 8 rows and 3 columns:
| person                             | start                               | end                                 |
| ---------------------------------- | ----------------------------------- | ----------------------------------- |
| Leonid Brezhnev (wd:Q131583282)    |                                     |                                     |
| Joseph Stalin (wd:Q855)            | 1922-04-03T00:00:00Z (xsd:dateTime) | 1952-10-16T00:00:00Z (xsd:dateTime) |
| Nikita Khrushchev (wd:Q35314)      | 1953-09-14T00:00:00Z (xsd:dateTime) | 1964-10-14T00:00:00Z (xsd:dateTime) |
| Leonid Brezhnev (wd:Q765165)       | 1964-10-14T00:00:00Z (xsd:dateTime) | 1982-11-10T00:00:00Z (xsd:dateTime) |
| Yuri Andropov (wd:Q44071)          | 1982-11-12T00:00:00Z (xsd:dateTime) | 1984-02-09T00:00:00Z (xsd:dateTime) |
| Constantine Chernenko (wd:Q127442) | 1984-02-13T00:00:00Z (xsd:dateTime) | 1985-03-10T00:00:00Z (xsd:dateTime) |
| Mikhail Gorbachev (wd:Q30487)      | 1985-03-11T00:00:00Z (xsd:dateTime) | 1991-08-24T00:00:00Z (xsd:dateTime) |
| Volodymyr Ivashko (wd:Q1065213)    | 1991-08-24T00:00:00Z (xsd:dateTime) | 1991-11-06T00:00:00Z (xsd:dateTime) |

[Tool]
Got 2 rows and 2 columns:
| person                        | start                               |
| ----------------------------- | ----------------------------------- |
| Joseph Stalin (wd:Q855)       | 1922-04-03T00:00:00Z (xsd:dateTime) |
| Nikita Khrushchev (wd:Q35314) | 1953-09-14T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process