PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
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?

[Assistant]
To answer the question "Is Chicago located at Lake Michigan?", I need to check if there is a geographical or location relationship between the entity Chicago and the entity Lake Michigan in Wikidata.

Step 1: Search for the entity "Chicago" in Wikidata to get its identifier.
Step 2: Search for the entity "Lake Michigan" in Wikidata to get its identifier.
Step 3: Check if there is a property or statement that links Chicago to Lake Michigan, indicating that Chicago is located at or near Lake Michigan.

I will start by searching for the entity "Chicago".

[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

[Assistant]
The entity "Chicago" as a city and county seat of Cook County, Illinois, United States of America is identified as wd:Q1297.

Next, I will search for the entity "Lake Michigan" in Wikidata to get its identifier.

[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

[Assistant]
The entity "Lake Michigan" as one of the Great Lakes of North America is identified as wd:Q1169.

Now, I will check if there is a property or statement that links Chicago (wd:Q1297) to Lake Michigan (wd:Q1169), indicating that Chicago is located at or near Lake Michigan. I will look for location or geographical properties for Chicago that might point to Lake Michigan.

[Tool]
Top 10 property alternatives:
1. 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 wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. location map (wd:P1943 as wdt/p): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt/p): time zone for this item
6. 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 wdt/p): body of water on or next to which a place is located, location
7. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdt/p): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
10. X place ID, also known as Twitter place ID, twt place ID (wd:P12431 as wdt/p): identifier for a geographic location on X (formerly Twitter)

No other items found

[Assistant]
There is a relevant property "located in or next to body of water" (wdt:P206) which can indicate if a place is located on or next to a body of water such as a lake.

I will now check if Chicago (wd:Q1297) has a statement with the property "located in or next to body of water" (wdt:P206) and if the object of that statement is Lake Michigan (wd:Q1169).

[Tool] True

[Tool] Stopped generation process


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

Got 1 row and 2 columns:
| ?person                      | ?personLabel     |
| ---------------------------- | ---------------- |
| Bernhard Riemann (wd:Q42299) | Bernhard Riemann |

Riemannian geometry is named after Bernhard Riemann.

[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?

[Assistant] The question asks for the person after whom "Riemannian geometry" is named. The term "Riemannian geometry" suggests a connection to a person named "Riemann." I will first search for the entity "Riemannian geometry" in Wikidata to find its corresponding entity. Then, I will look for the property that indicates the person it is named after. This property is often "named after" or similar. I will search for the properties of the entity to find the relevant property and then retrieve the person it is named after.

[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

[Assistant] I found the entity "Riemannian geometry" with the identifier wd:Q761383. Now I will check the properties of this entity to find if there is a property indicating the person after whom it is named. I will look for properties related to "named after" or similar.

[Tool]
Got 268 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                       | object                                              |
| -------------------------------- | ---------------------------------------------- | --------------------------------------------------- |
| Riemannian geometry (wd:Q761383) | instance of (wdt:P31)                          | area of mathematics (wd:Q1936384)                   |
| Riemannian geometry (wd:Q761383) | Commons category (wdt:P373)                    | Riemannian geometry                                 |
| Riemannian geometry (wd:Q761383) | subclass of (wdt:P279)                         | differential geometry (wd:Q188444)                  |
| Riemannian geometry (wd:Q761383) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                         |
| Riemannian geometry (wd:Q761383) | maintained by WikiProject (wdt:P6104)          | WikiProject Mathematics (wd:Q8487137)               |
| Riemannian geometry (wd:Q761383) | topic's main category (wdt:P910)               | wd:Q7210663                                         |
| Riemannian geometry (wd:Q761383) | named after (wdt:P138)                         | Bernhard Riemann (wd:Q42299)                        |
| Riemannian geometry (wd:Q761383) | Stack Exchange tag (wdt:P1482)                 | <https://mathoverflow.net/tags/riemannian-geometry> |
| Riemannian geometry (wd:Q761383) | Freebase ID (wdt:P646)                         | /m/01br2f                                           |
| Riemannian geometry (wd:Q761383) | GND ID (wdtn:P227)                             | <https://d-nb.info/gnd/4128462-8>                   |
| ...                              | ...                                            | ...                                                 |

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| ?count |
| ------ |
| 11     |

James Cameron directed 11 movies prior to the year 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?

[Assistant]
To answer this question, I need to find the entity for James Cameron, then find the movies he directed, and filter those movies by their release date to count how many were released prior to 2010.

Step 1: Search for the entity "James Cameron" in Wikidata.

[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

[Assistant] The entity for James Cameron, the Canadian filmmaker, is wd:Q42574. Next, I will find the movies he directed and their release dates. I will then filter the movies released prior to 2010 and count them.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 0      |

[Assistant] The query result shows that there are 0 movies directed by James Cameron with a release date prior to 2010. This seems unexpected given his known filmography. I will refine the query to check if the property for director or the property for release date might be different or if there are any issues with the data. I will also try to list some movies directed by James Cameron to verify.

[Tool] Got no rows and 3 columns

[Assistant] It seems the property direction might not be correctly used or the query structure is wrong. I will try to reverse the direction: find films where James Cameron is the director.

[Tool]
Got 10 rows and 3 columns:
| ?film                                  | ?filmLabel | ?publicationDate     |
| -------------------------------------- | ---------- | -------------------- |
| Titanic 3D (wd:Q10382726)              |            | 2012-01-01T00:00:00Z |
| Aliens (wd:Q104814)                    |            | 1986-07-18T00:00:00Z |
| True Lies (wd:Q110397)                 |            | 1994-01-01T00:00:00Z |
| True Lies (wd:Q110397)                 |            | 1994-07-15T00:00:00Z |
| True Lies (wd:Q110397)                 |            | 1994-08-18T00:00:00Z |
| True Lies (wd:Q110397)                 |            | 1994-09-23T00:00:00Z |
| True Lies (wd:Q110397)                 |            | 1994-10-12T00:00:00Z |
| Piranha II: The Spawning (wd:Q1576981) |            | 1981-01-01T00:00:00Z |
| Piranha II: The Spawning (wd:Q1576981) |            | 1983-06-24T00:00:00Z |
| The Terminator (wd:Q162255)            |            | 1984-10-26T00:00:00Z |

[Assistant] I found movies directed by James Cameron with their release dates. Some movies have multiple release dates. I will now count distinct movies directed by James Cameron with a release date prior to 2010.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 11     |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?inventorLabel WHERE {
  wd:Q623561 wdt:P61 ?inventor .
  ?inventor rdfs:label ?inventorLabel
  FILTER ( LANG( ?inventorLabel ) = "en" )
}

Got 1 row and 1 column:
| ?inventorLabel            |
| ------------------------- |
| Charles Courtice Alderton |

The inventor of Dr. Pepper is Charles Courtice Alderton, whose name does not match 'Dr. Pepper.' Therefore, 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?

[Assistant]
To answer the question "Is Dr. Pepper named after its inventor?" we need to find the inventor of Dr. Pepper and check if the name "Dr. Pepper" corresponds to that inventor's name.

Step 1: Identify the entity for Dr. Pepper in Wikidata.
Step 2: Find the inventor or creator of Dr. Pepper.
Step 3: Check if the inventor's name contains "Pepper" or is related to the name "Dr. Pepper."

I will start by searching for the entity "Dr. Pepper" in Wikidata.

[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

[Assistant] The entity for Dr. Pepper as a carbonated soft drink is wd:Q623561. Next, I will look for the inventor or creator of Dr. Pepper (wd:Q623561) to see if it is named after its inventor.

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

[Assistant] The inventor of Dr. Pepper (wd:Q623561) is Charles Courtice Alderton (wd:Q24004555). Now I will check the name of the inventor to see if it relates to the name "Dr. Pepper."

[Tool] Got no rows and 3 columns

[Assistant] There is no direct label property (wdt:P1477) for Charles Courtice Alderton. I will instead retrieve the rdfs:label for this entity to get the name.

[Tool]
Got 1 row and 1 column:
| ?label                    |
| ------------------------- |
| Charles Courtice Alderton |

[Assistant] The inventor's name is Charles Courtice Alderton, which does not contain "Pepper." To further verify, I will check if there is any other person associated with the invention or naming of Dr. Pepper. I will look for other properties related to Dr. Pepper that might indicate a namesake or related person.

[Tool]
Got 226 rows and 3 columns, showing the first 10 rows below:
| subject                | property                           | object                                                                             |
| ---------------------- | ---------------------------------- | ---------------------------------------------------------------------------------- |
| Dr Pepper (wd:Q623561) | instance of (wdt:P31)              | invention (wd:Q14208553)                                                           |
| Dr Pepper (wd:Q623561) | country (wdt:P17)                  | United States (wd:Q30)                                                             |
| Dr Pepper (wd:Q623561) | Commons category (wdt:P373)        | Dr Pepper                                                                          |
| Dr Pepper (wd:Q623561) | image (wdt:P18)                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Dr%20Pepper%20Dose%202024.jpg> |
| Dr Pepper (wd:Q623561) | subclass of (wdt:P279)             | soft drink (wd:Q147538)                                                            |
| Dr Pepper (wd:Q623561) | inception (wdt:P571)               | 1885-01-01T00:00:00Z                                                               |
| Dr Pepper (wd:Q623561) | country of origin (wdt:P495)       | United States (wd:Q30)                                                             |
| Dr Pepper (wd:Q623561) | official name (wdt:P1448)          | Dr Pepper                                                                          |
| Dr Pepper (wd:Q623561) | official website (wdt:P856)        | <https://www.drpepper.com/en>                                                      |
| Dr Pepper (wd:Q623561) | social media followers (wdt:P8687) | 461950                                                                             |
| ...                    | ...                                | ...                                                                                |

[Assistant] There is no direct property indicating a namesake or person after whom Dr. Pepper is named. The inventor is Charles Courtice Alderton, whose name does not match "Dr. Pepper." I will now check if there is any information about the origin of the name "Dr. Pepper" in the description or aliases of the entity.

[Tool]
Got 1 row and 2 columns:
| ?description          | ?alias     |
| --------------------- | ---------- |
| carbonated soft drink | Dr. Pepper |

[Assistant]
The description of Dr. Pepper is "carbonated soft drink," and one alias is "Dr. Pepper." There is no direct indication that it is named after its inventor. Given the inventor's name is Charles Courtice Alderton and does not match "Dr. Pepper," it suggests Dr. Pepper is not named after its inventor.

I will now finalize the answer.

[Tool] Stopped generation process


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

The first album of Jay Chou is "Jay" (wd:Q221115), released on 2000-11-06.

[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

[Assistant]
To answer the question "The first album of Jay Chou," I need to identify the entity for Jay Chou and then find the property that relates to his albums, specifically the first album he released.

Step 1: Search for the entity "Jay Chou" in Wikidata.

[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

[Assistant] The entity for Jay Chou is wd:Q238819. Now I need to find the property that relates to albums or musical works of Jay Chou. I will search for properties related to albums or musical works for this entity.

[Tool]
Top 10 property alternatives:
1. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): the object is a country that recognizes the subject as its citizen, country
6. record label, also known as label, labels (wd:P264 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses

No other items found

[Assistant] The property "discography" (wdt:P358) is related to the list of works or albums of the artist. I will now check the discography of Jay Chou (wd:Q238819) to find his albums.

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object      |
| --------------------- | ---------------------- | ----------- |
| Jay Chou (wd:Q238819) | discography (wdt:P358) | wd:Q1100151 |

[Assistant] Jay Chou's discography is represented by the entity wd:Q1100151. I will now look for the albums listed under this discography entity.

[Tool] Got no rows and 3 columns

[Assistant] The discography entity wd:Q1100151 does not have parts (wdt:P527) listed. I will try to find albums by searching for albums where Jay Chou is the performer or creator. I will search for albums with the keyword "Jay Chou" to find his albums.

[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. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
4. Jaya Choudhary (wd:Q88317282): researcher
5. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
6. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
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. Dilwale Dulhania Le Jayenge, also known as DDLJ (Original Motion Picture Soundtrack), Dilwale Dulhaniya Le Jayenge Soundtrack, Dilwale Dulhaniya Le Jayenge Album, Dilwale Dulhaniya Le Jayenge, Dilwale Dulhania Le Jayenge Soundtrack (wd:Q114096233): 1995 soundtrack album; various artists

[Assistant]
I found an album entity "Jay Chou's Bedtime Stories" (wd:Q24595331) which is a 2016 studio album by Jay Chou. To find the first album, I need to find all albums by Jay Chou and then order them by their release date to get the earliest one.

I will search for albums where Jay Chou is the performer or creator and get their release dates.

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. character role, also known as role, plays, performer of, as, acting role (wd:P453 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
3. cover art by, also known as jacket art by, sleeve art by, designer, cover design by, cover artist (wd:P736 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): name of person or team creating cover artwork for book, record album, single record etc.
4. setlist, also known as set list, works performed, songs performed, performances, performance list (wd:P9793 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): performances of songs or other music at an event; concert program, presented works
5. number of representations, also known as shows, performances, number of shows, number of concerts, no. of shows (wd:P5027 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): number of shows (including the premiere) of a concert tour or a performing arts production
6. used by, also known as armiger, user, played by, of (wd:P1535 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): item or concept that makes use of the subject (use sub-properties when appropriate)
7. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): object depicting this subject (object being creative works such as books, films, paintings)
8. exhibited creator, also known as artist exhibited, exhibited artist (wd:P10661 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): intellectual or creative entity (person or organization) responsible for the elements exhibited, creator
9. Muziekweb performer ID, also known as Muziekweb artist ID, Muziekweb band ID (wd:P5882 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a performer, composer or band at Muziekweb
10. talk show guest, also known as show guest, podcast guest, participant in talk show, participant in podcast interview, interviewed person (wd:P5030 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): person invited in a talk show, recorded participant

[Assistant] The property "performer" (wdt:P175) is used to indicate the performer of a musical work or album. I will now search for albums where Jay Chou (wd:Q238819) is the performer.

[Tool]
Got 43 rows and 3 columns, showing the first 10 rows below:
| subject                           | property             | object                |
| --------------------------------- | -------------------- | --------------------- |
| Jay (wd:Q221115)                  | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Common Jasmin Orange (wd:Q262153) | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Fantasy (wd:Q595532)              | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Still Fantasy (wd:Q259680)        | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| The Eight Dimensions (wd:Q680715) | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| November's Chopin (wd:Q715325)    | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Aiyo, Nor Bad (wd:Q18652147)      | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Kato (wd:Q645144)                 | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Ye Hui Mei (wd:Q699622)           | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| Capricorn (wd:Q704376)            | performer (wdt:P175) | Jay Chou (wd:Q238819) |
| ...                               | ...                  | ...                   |

[Assistant] I found several albums where Jay Chou is the performer. Now I will get the release dates of these albums to find the first one. I will start by getting the release date of the album "Fantasy" (wd:Q595532) as an example.

[Tool]
Got 1 row and 3 columns:
| subject              | property                    | object               |
| -------------------- | --------------------------- | -------------------- |
| Fantasy (wd:Q595532) | publication date (wdt:P577) | 2001-09-14T00:00:00Z |

[Assistant] The album "Fantasy" (wd:Q595532) was released on 2001-09-14. I will now write a SPARQL query to get all albums where Jay Chou is the performer along with their release dates, and order them by release date to find the first album.

[Tool]
Got 1 row and 3 columns:
| ?album           | ?albumLabel | ?releaseDate         |
| ---------------- | ----------- | -------------------- |
| Jay (wd:Q221115) | Jay         | 2000-11-06T00:00:00Z |

[Assistant] The first album of Jay Chou is "Jay" (wd:Q221115), released on 2000-11-06. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?show ?showLabel WHERE {
  ?show wdt:P31 wd:Q5398426 ; wdt:P580 ?firstAirDate .
  FILTER ( YEAR( ?firstAirDate ) = 1975 ) .
  OPTIONAL {
    ?show rdfs:label ?showLabel FILTER ( LANG( ?showLabel ) = "en" )
  }
}

Got 249 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?show                                              | ?showLabel                            |
| -------------------------------------------------- | ------------------------------------- |
| Gabriela (wd:Q10287918)                            | Gabriela                              |
| On the Mat (wd:Q10340891)                          | On the Mat                            |
| Cher (wd:Q10381261)                                | Cher                                  |
| Carry On Laughing (wd:Q1045360)                    | Carry On Laughing                     |
| Space: 1999 (wd:Q1045743)                          | Space: 1999                           |
| ...                                                | ...                                   |
| Beschlossen und verkündet (wd:Q829585)             | Beschlossen und verkündet             |
| wd:Q86210547                                       |                                       |
| Krempoli - Ein Platz für wilde Kinder (wd:Q872205) | Krempoli - Ein Platz für wilde Kinder |
| Krempoli - Ein Platz für wilde Kinder (wd:Q872205) | Krempoli - Ein Platz für wilde Kinder |
| Miś Uszatek (wd:Q929924)                           | Miś Uszatek                           |

The shows that first aired in the same year as Saturday Night Live (1975) include Gabriela, On the Mat, Cher, Carry On Laughing, Space: 1999, and many others. The query returned 249 shows that first aired in 1975.

[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 ?

[Assistant] Step 1: Identify the entity "Saturday Night Live" in Wikidata. I will search for the entity "Saturday Night Live" to get its Wikidata identifier.

[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

[Assistant]
The entity "Saturday Night Live" as an American late-night live television sketch comedy show is wd:Q13979.

Step 2: Find the year when "Saturday Night Live" first aired. I will query the first air date for this entity.

[Tool]
Got 1 row and 1 column:
| ?firstAirDate        |
| -------------------- |
| 1975-10-11T00:00:00Z |

[Assistant]
The show "Saturday Night Live" first aired in the year 1975.

Step 3: Find other shows that first aired in the same year 1975. I will query for television series with the first air date in 1975.

[Tool]
Got 249 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?show                                              | ?showLabel                            |
| -------------------------------------------------- | ------------------------------------- |
| Gabriela (wd:Q10287918)                            | Gabriela                              |
| On the Mat (wd:Q10340891)                          | On the Mat                            |
| Cher (wd:Q10381261)                                | Cher                                  |
| Carry On Laughing (wd:Q1045360)                    | Carry On Laughing                     |
| Space: 1999 (wd:Q1045743)                          | Space: 1999                           |
| ...                                                | ...                                   |
| Beschlossen und verkündet (wd:Q829585)             | Beschlossen und verkündet             |
| wd:Q86210547                                       |                                       |
| Krempoli - Ein Platz für wilde Kinder (wd:Q872205) | Krempoli - Ein Platz für wilde Kinder |
| Krempoli - Ein Platz für wilde Kinder (wd:Q872205) | Krempoli - Ein Platz für wilde Kinder |
| Miś Uszatek (wd:Q929924)                           | Miś Uszatek                           |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?team ?teamLabel ( COUNT( ?final ) AS ?championships ) WHERE {
  ?final wdt:P31 wd:Q842375 ; wdt:P1346 ?team .
  ?team wdt:P118 wd:Q155223 .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}
GROUP BY ?team ?teamLabel
ORDER BY DESC ( ?championships )

Got 17 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?team                               | ?teamLabel             | ?championships |
| ----------------------------------- | ---------------------- | -------------- |
| Boston Celtics (wd:Q131371)         | Boston Celtics         | 17             |
| Los Angeles Lakers (wd:Q121783)     | Los Angeles Lakers     | 16             |
| Chicago Bulls (wd:Q128109)          | Chicago Bulls          | 6              |
| San Antonio Spurs (wd:Q159729)      | San Antonio Spurs      | 5              |
| Golden State Warriors (wd:Q157376)  | Golden State Warriors  | 4              |
| ...                                 | ...                    | ...            |
| Washington Wizards (wd:Q169165)     | Washington Wizards     | 1              |
| Portland Trail Blazers (wd:Q167253) | Portland Trail Blazers | 1              |
| Sacramento Kings (wd:Q166105)       | Sacramento Kings       | 1              |
| Atlanta Hawks (wd:Q159893)          | Atlanta Hawks          | 1              |
| Dallas Mavericks (wd:Q132893)       | Dallas Mavericks       | 1              |

The NBA teams that have won the most seasons (NBA championships) are:
1. Boston Celtics with 17 championships
2. Los Angeles Lakers with 16 championships
3. Chicago Bulls with 6 championships
4. San Antonio Spurs with 5 championships
5. Golden State Warriors with 4 championships
Other teams have fewer 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?

[Assistant]
To answer the question "Which NBA teams have won the most seasons?" we need to clarify the meaning of "won the most seasons." It likely refers to NBA teams that have won the most NBA championships (titles) across seasons.

Step 1: Identify the entity "NBA team."
Step 2: Identify the property related to "NBA championships won" or "number of NBA titles."
Step 3: Query the NBA teams and their count of NBA championships.
Step 4: Sort the teams by the number of championships won in descending order to find those with the most titles.

I will start by searching for the entity "NBA" to confirm its identifier in Wikidata. Then I will search for the property related to "NBA championships won" or "number of NBA titles."

[Tool]
Top 10 entity alternatives:
1. National Basketball Association, also known as Basketball Association of America, BAA, NBA, National Basketball Assn., Nat'l Basketball Assn. (wd:Q155223): North American professional men's basketball league
2. National Book Award, also known as American NBA, ANBA, NBA, American National Book Award (wd:Q572316): United States literary award in four categories
3. New Barnet railway station, also known as NBA, New Barnet Station (wd:Q1217434): railway station in New Barnet, London Borough of Barnet, England, UK
4. Niger Basin Authority, also known as Autorite du Bassin du Niger, NBA, Autorité du Bassin du Niger, ABN (wd:Q1162546): intergovernmental organisation in West Africa
5. Sybil, also known as NBA (wd:Q2915054): 1973 book Sybil. The True Story of A Woman Possessed By 16 Separaste Personalities.
6. National Biodiversity Authority, also known as NBA (wd:Q5054185): government agency in India
7. Nba Saghru, also known as NBA (wd:Q3874050): Moroccan singer-songwriter, poet and painter (1982-2011), singer-songwriter, painter, poet
8. .nba (wd:Q26980848)
9. Namibia Sports Commission, also known as NBA, Namibia Sports Commission*, Namibia Sport Commision, Namibia Sport Commission (wd:Q1490962): Umbrella organization of all sports associations in Namibia
10. NBA (wd:Q17062168): song by American rapper Joe Budden

[Assistant]
The National Basketball Association (NBA) is identified as wd:Q155223 in Wikidata.

Next, I will search for properties related to "NBA championships won" or "number of NBA titles" to find the appropriate property to count the championships won by NBA teams.

[Tool]
Top 10 property alternatives:
1. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): number of sporting matches, games or events won
2. Hoopla artist ID, also known as hoopladigital.com (wd:P6868 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for an individual on Hoopla
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): 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
4. Basketball Reference NBA coach ID, also known as Basketball-Reference.com NBA coach ID (wd:P4718 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a NBA coach on the Basketball Reference website
5. NBA.com player ID (wd:P3647 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball player on the National Basketball Association's website
6. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): sports teams or clubs that the subject represents or represented, member of
7. statistical leader, also known as most valuable player, MVP, record setter, statistical leader (wd:P3279 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): leader of a sports tournament in one of statistical qualities (points, assists, rebounds etc.).
8. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a NBA player on the Basketball Reference website
9. Eurobasket.com coach ID, also known as eurobasket.com coach identifier, eurobasket.com ID, eurobasket.com identifier, eurobasket ID (wd:P6865 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball coach at Eurobasket.com
10. Eurobasket.com player ID, also known as Eurobasket.com ID, eurobasket.com identifier (wd:P3527 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): ID for a basketball player at Eurobasket.com

[Assistant]
The search for a property specifically named "NBA championships won" did not return a direct property for the number of NBA championships won by a team. However, the property "winner" (wdt:P1346) is relevant as it indicates the winner of a competition or event.

Next, I will search for the NBA championship event to find its identifier in Wikidata. Then I will query which teams have won this event and count the number of wins per team.

[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

[Assistant]
The NBA Finals, which is the championship series of the National Basketball Association, is identified as wd:Q842375 in Wikidata.

Now, I will write a SPARQL query to find NBA teams that have won the NBA Finals and count the number of times each team has won. Then I will order the results by the count in descending order to find the teams with the most championships.

[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'

[Assistant]
The query failed because the SERVICE wikibase:label is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label to get the team labels.

I will now rewrite and execute the query again.

[Tool]
Got 17 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?team                               | ?teamLabel             | ?championships |
| ----------------------------------- | ---------------------- | -------------- |
| Boston Celtics (wd:Q131371)         | Boston Celtics         | 17             |
| Los Angeles Lakers (wd:Q121783)     | Los Angeles Lakers     | 16             |
| Chicago Bulls (wd:Q128109)          | Chicago Bulls          | 6              |
| San Antonio Spurs (wd:Q159729)      | San Antonio Spurs      | 5              |
| Golden State Warriors (wd:Q157376)  | Golden State Warriors  | 4              |
| ...                                 | ...                    | ...            |
| Washington Wizards (wd:Q169165)     | Washington Wizards     | 1              |
| Portland Trail Blazers (wd:Q167253) | Portland Trail Blazers | 1              |
| Sacramento Kings (wd:Q166105)       | Sacramento Kings       | 1              |
| Atlanta Hawks (wd:Q159893)          | Atlanta Hawks          | 1              |
| Dallas Mavericks (wd:Q132893)       | Dallas Mavericks       | 1              |

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| ?height |
| ------- |
| 157     |

The height of the Cologne Cathedral is 157 meters.

[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 ?

[Assistant]
To answer the question "How high is the Cologne Cathedral?", I need to find the entity for "Cologne Cathedral" and then find the property that represents its height.

Step 1: Search for the entity "Cologne Cathedral" in Wikidata.

[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

[Assistant] The entity for "Cologne Cathedral" is wd:Q4176. Next, I need to find the property that represents the height of the Cologne Cathedral. I will search for properties related to "height" for this entity.

[Tool]
Top 10 property alternatives:
1. height, also known as heighth, size, depth over terrain (wd:P2048 as wdt/p): vertical length of an entity, length
2. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdt/p): measured dimension of an object
3. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object
4. width, also known as breadth, bus width, size (wd:P2049 as wdt/p): width of an object, length
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. located on street, also known as on street, street address, street, square, road (wd:P669 as wdt/p): street, road, or square, where the item is located. To add the n...perty P6375 "street address", if there is no item for the street, location, part of
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as wdt/p): image representing the plan of a building or place, detail map
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant] The property for height is wd:P2048. Now I will write a SPARQL query to get the height of the Cologne Cathedral (wd:Q4176) using the property height (wdt:P2048).

[Tool]
Got 1 row and 1 column:
| ?height |
| ------- |
| 157     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q1048744 ; pq:P580 ?startTime .
  FILTER ( ?startTime < "1964-10-14T00:00:00Z" ^^ xsd:dateTime )
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

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?

[Assistant]
Step 1: Identify the entity "General Secretary of the CPSU" and the entity "Leonid Brezhnev" in Wikidata.
Step 2: Find the property that relates a person to their position or office held, specifically for the position "General Secretary of the CPSU."
Step 3: Find the list of people who held the position "General Secretary of the CPSU" before Leonid Brezhnev.
Step 4: Count the number of such people.

I will start by searching for the entity "General Secretary of the CPSU."

[Tool]
Top 10 entity alternatives:
1. 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
2. Secretary General of the Confederación Nacional del Trabajo, also known as Secretary General of the CNT (wd:Q3393986): head of the confederation of Spanish anarcho-syndicalist labor unions
3. General Secretary of the CIS (wd:Q119716722): head of the Commonwealth Secretariat
4. Secretary General of the Universal Esperanto Association, also known as Ĝenerala Sekretario de UEA, Universal Esperanto Association Secretary General, Secretary General of the UEA, UEA Secretary General (wd:Q12357331)
5. General Secretary of the YSP (wd:Q130385190)
6. Secretary General of the CSTO (wd:Q119716745): diplomatic head of the CSTO
7. [Address of the general secretary] (wd:Q74790507): scientific article published on 01 June 2002
8. General Secretary of the Interior (wd:Q50128204)
9. General secretary of the Sea (wd:Q78862662): French official position
10. General Secretary of the CGIL, also known as General Secretary of the Italian General Confederation of Labour (wd:Q15355884): leader of the CGIL trade union of Italy

[Assistant] The search for "General Secretary of the CPSU" did not directly return an entity for that position. I will try a more specific search query "General Secretary of the Communist Party of the Soviet Union" to find the correct entity.

[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

[Assistant] The entity "General Secretary of the Communist Party of the Soviet Union" is wd:Q1048744. Next, I will search for the entity "Leonid Brezhnev" to identify him in Wikidata.

[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

[Assistant] The entity for Leonid Brezhnev is wd:Q765165. Now, I will find the property that relates a person to their position or office held, specifically for the position "General Secretary of the Communist Party of the Soviet Union" (wd:Q1048744). I will search for properties related to the entity Leonid Brezhnev with the query "position held."

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt/p): subject currently or formerly holds the object position or public office
2. military or police rank, also known as military rank, naval rank, police rank, rank (wd:P410 as wdt/p): military or police rank achieved by a person (should usually hav...ualifier), or military or police rank associated with a position
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/p): person linked to the item in any possible way
5. candidacy in election, also known as ran in election, running in election, election candidacy, candidate in election, candidate in (wd:P3602 as wdt/p): election where the subject is a candidate, participant in
6. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as wdt/p): the political party of which a person is or has been a member or otherwise affiliated, member of
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt/p): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
9. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
The property "position held" (wdt:P39) is the correct property to relate a person to their position or office held. Now, I will write a SPARQL query to find all persons who held the position "General Secretary of the Communist Party of the Soviet Union" (wd:Q1048744) before Leonid Brezhnev (wd:Q765165). I will check the start time of their position held to determine if it was before Brezhnev's start time.

First, I need to find the start time of Leonid Brezhnev's tenure as General Secretary.

[Tool]
Got 1 row and 1 column:
| ?startTime           |
| -------------------- |
| 1964-10-14T00:00:00Z |

[Assistant] Leonid Brezhnev started his tenure as General Secretary of the Communist Party of the Soviet Union on 1964-10-14. Now, I will write a query to count how many people held the position of General Secretary of the Communist Party of the Soviet Union before this date.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

[Tool] Stopped generation process