PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q155 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?language             | ?languageLabel |
| --------------------- | -------------- |
| Portuguese (wd:Q5146) | Portuguese     |

The official language of Brazil now is Portuguese.

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

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

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

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

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

[User] what is the official language of brazil now?

[Assistant]
To answer the question about the official language of Brazil, I need to identify the entity for Brazil and the property that represents the official language of a country in Wikidata. Then I will query the official language of Brazil.

Step 1: Search for the entity "Brazil" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

[Assistant] The entity for the country Brazil is wd:Q155. Next, I need to find the property that represents the official language of a country. I will search for properties related to "official language" in Wikidata.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): language in which the writer has written their work, languages spoken, written or signed

[Assistant] The property "official language" is represented by wd:P37 in Wikidata. Now I will build a SPARQL query to get the official language of Brazil (wd:Q155) using the property wd:P37. I will also include the label of the language for better readability.

[Tool]
Got 1 row and 2 columns:
| ?language             | ?languageLabel |
| --------------------- | -------------- |
| Portuguese (wd:Q5146) | Portuguese     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?postalCode WHERE {
  wd:Q653636 wdt:P281 ?postalCode .
}

The zip codes for Morgantown, West Virginia are 26501, 26501–26508, 26504, and 26506.

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

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

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

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

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

[User] what is the zip code for morgantown wv?

[Assistant]
To answer the question about the zip code for Morgantown, WV, I need to identify the entity for Morgantown in West Virginia and then find the property related to postal codes or zip codes for that entity.

Step 1: Search for the entity "Morgantown, West Virginia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Morgantown, also known as Morgantown, West Virginia, Morgantown, WV (wd:Q653636): city in and county seat of Monongalia County, West Virginia, United States
2. Sunnyside, Morgantown, West Virginia (wd:Q130619012): unincorporated community in West Virginia, United States
3. Mayor of Morgantown, West Virginia, also known as Mayor of Morgantown (wd:Q108918029): political office in the United States
4. West Virginia Junior College at Morgantown (wd:Q7986858)
5. Third Workshop on Enabling Techn...town, WV, USA, 17-19 April, 1994, also known as 3rd WETICE 1994: Morgantown, West Virginia, USA (wd:Q106243824): academic workshop
6. West Virginia, also known as W.Va., State of West Virginia, W. Va., West Virginia, United States, US-WV (wd:Q1371): state of the United States of America
7. West Virginia, also known as Almost Heaven, State of West Virginia, The Mountain State, W.Va., US-WV (wd:Q1371): state of the United States of America
8. Weston, also known as Weston, West Virginia, Weston, WV (wd:Q2532326): city in West Virginia, United States
9. West Virginia University, also known as wvu.edu, WVU, W.V.U., West Virginia, Agricultural College of West Virginia (wd:Q115376): public university in Morgantown, West Virginia, United States
10. Westover, also known as Westover, West Virginia, Westover, WV (wd:Q2557713): human settlement in Monongalia County, West Virginia, United States

[Assistant] I found the entity for Morgantown, West Virginia as wd:Q653636. Now I will look for the property related to postal codes or zip codes for this entity. I will search for properties of Morgantown (wd:Q653636) related to postal codes or zip codes.

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
3. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as p/wdt): geographic location code maintained by UNECE
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. FIPS 55-3 (locations in the US), also known as fips code for US locations, Federal Information Processing Standard 55-3, FIPS 55-3 (wd:P774 as p/wdt): identifier for places in the United States per former Federal Information Processing Standard FIPS 55-3
6. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
7. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
8. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as wdt/wdtn/p): identifier in the GeoNames geographical database

No other items found

[Assistant] The property for postal code is wd:P281. Now I will query the postal code(s) for Morgantown (wd:Q653636) using this property.

[Tool]
Got 4 rows and 1 column:
| ?postalCode |
| ----------- |
| 26501       |
| 26501–26508 |
| 26504       |
| 26506       |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?year WHERE {
  wd:Q203008 p:P166 ?statement .
  ?statement ps:P166 wd:Q922116 .
  ?statement pq:P585 ?year .
}
ORDER BY DESC ( ?year )
LIMIT 1

The last time the LA Kings won a playoff series was in 2014, as indicated by their winning of the Clarence S. Campbell Bowl, which is awarded to the Western Conference playoff champions.

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

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

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

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

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

[User] when was the last time the la kings won a playoff series?

[Assistant]
To answer the question "when was the last time the LA Kings won a playoff series?", I need to identify the entity for "LA Kings" and find the date or year of their most recent playoff series win.

Step 1: Search for the entity "LA Kings" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Los Angeles Kings, also known as LA Kings (wd:Q203008): hockey team of the National Hockey League
2. LA Kings (wd:Q114547435): episode of Cupcake Wars (S2 E3)
3. Kings Langley, also known as King's Langley, Kings Langley, Hertfordshire, Langley Regina, Langley Regis (wd:Q19807): village and civil parish in Hertfordshire, England
4. Latin Kings, also known as 18st, INCA, Reyes Latinos (wd:Q534297): largest Latino street gang
5. Kingston, also known as Kingston, Louisiana, Kingston, LA (wd:Q6413420): unincorporated community in DeSoto Parish, Louisiana
6. Kings Langley, also known as Kings Langley, New South Wales, Kings Langley, New South Wales, Australia (wd:Q6272013): suburb of Sydney, New South Wales, Australia
7. Tontos, also known as latin kings, Nortenos, Norteñas, Norputos, Norcacas (wd:Q2112443): gente
8. Kings Lake (wd:Q22073712): lake in McLeod County, Minnesota, United States
9. Kings Lake (wd:Q22420428): lake in Algoma District, Ontario, Canada
10. Kings Lake (wd:Q25204379): lake in Codington County, South Dakota, USA

[Assistant]
The entity for "LA Kings" is identified as Los Angeles Kings (wd:Q203008), a hockey team of the National Hockey League.

Step 2: I need to find the property or statement that indicates the playoff series wins for the Los Angeles Kings. I will search for properties related to "playoff series win" or "playoff series" for this entity.

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. 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
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant]
There are no direct properties related to "playoff series win" or "playoff series" for the Los Angeles Kings entity. I will try a different approach.

Step 3: I will search for the property "playoff series" in general to see if there is a relevant property that can be used to find playoff series wins for sports teams.

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): sports teams or clubs that the subject represents or represented, member of
2. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): series which contains the subject, part of
3. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): number of sporting matches, games or events won
5. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): art, museum, archival, or bibliographic collection of which the subject is part, part of
6. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): discipline an athlete competed in within a sport, field of work
7. participating team, also known as teams (wd:P1923 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
8. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): league or competition in which team or player has played, or in which an event occurs, participant in
9. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): number of sporting matches, games or events lost
10. sports league level, also known as league level, sport league level, level on sport league pyramid, level on league pyramid, level on pyramid (wd:P3983 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the level of the sport league in the sport league system

[Assistant]
There is no specific property for "playoff series win" but there is a property "award received" (wdt:P166) which might include awards for winning playoff series or championships.

Step 4: I will query the awards received by the Los Angeles Kings to see if there is any information about their playoff series wins or championships.

[Tool]
Got 1 row and 3 columns:
| ?award                                 | ?awardLabel               | ?date |
| -------------------------------------- | ------------------------- | ----- |
| Clarence S. Campbell Bowl (wd:Q922116) | Clarence S. Campbell Bowl |       |

[Assistant]
The Los Angeles Kings have received the "Clarence S. Campbell Bowl" award, but there is no date information available for this award in the query result. The Clarence S. Campbell Bowl is awarded to the Western Conference playoff champions, which implies a playoff series win.

Step 5: To find the last time the LA Kings won a playoff series, I will look for the years they won the Clarence S. Campbell Bowl or similar playoff-related awards or titles. I will search for the years the LA Kings won this award.

[Tool]
Got 1 row and 1 column:
| ?year                |
| -------------------- |
| 2014-01-01T00:00:00Z |

[Assistant]
The last time the LA Kings won a playoff series, as indicated by winning the Clarence S. Campbell Bowl, was in the year 2014.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation ?occupationLabel WHERE {
  wd:Q651203 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?occupation                     | ?occupationLabel  |
| ------------------------------- | ----------------- |
| basketball player (wd:Q3665646) | basketball player |

George Wilson (the basketball player born in 1942) is a basketball player by profession.

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

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

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

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

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

[User] what does george wilson do for a living?

[Assistant]
The question is asking about the occupation or profession of George Wilson. First, I need to identify the entity "George Wilson" in Wikidata, as there could be multiple people with this name. Then, I will look for the property related to occupation or profession for that entity.

Step 1: Search for the entity "George Wilson" in Wikidata to identify the correct entity or entities.

[Tool]
Top 10 entity alternatives:
1. Ajita Wilson, also known as George Wilson (wd:Q164526): American actress (1950–1987), pornographic actor, actor
2. George Wilson (wd:Q651203): basketball player from the United States born in 1942, basketball player
3. George A. Wilson, also known as George Allison Wilson, George Wilson (wd:Q382688): American politician (1884-1953), politician, lawyer, judge
4. George Washington Wilson, also known as George Wilson, G. W. Wilson, George W. Wilson (wd:Q2179710): Scottish painter and photographer (1823-1893), businessperson, photographer, painter
5. George Wilson (wd:Q5546405): English footballer (1892-1961), association football player
6. George Wilson (wd:Q5546401): American football coach (1914-1978), American football player, American football coach, basketball player
7. George Wilson, also known as George Washington Wilson, Teddy Wilson (wd:Q5546410): baseball outfielder from the United States (1925-1974), baseball player
8. George Wilson, also known as George Patterson Wilson (wd:Q18392304): Australian footballer (1920-2014), Australian rules football player
9. George Wilson, also known as George Charles Lee Wilson (wd:Q18129280): New Zealand cricketer (1887-1917), cricketer
10. George Wilson, also known as Wilson, George, 1818-1859 (wd:Q14949042): Scottish chemist, Regius Professor of Technology at the University of Edinburgh (1818-1859), chemist

[Assistant]
There are multiple entities named George Wilson in Wikidata, including basketball players, politicians, artists, footballers, and others. Since the user did not specify which George Wilson, I will assume the most general case and try to find the occupation of the most commonly known George Wilson. The first entity listed is an actress also known as George Wilson, which might not be the intended one. The second entity is a basketball player from the United States born in 1942. I will choose this George Wilson (wd:Q651203) as a representative example and check his occupation.

Step 2: Retrieve the occupation of George Wilson (wd:Q651203).

[Tool]
Got 1 row and 2 columns:
| ?occupation                     | ?occupationLabel  |
| ------------------------------- | ----------------- |
| basketball player (wd:Q3665646) | basketball player |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?bridge ?bridgeLabel ?location ?locationLabel WHERE {
  VALUES ?bridge {
    wd:Q1319988
  }
  ?bridge wdt:P131 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
  OPTIONAL {
    ?bridge rdfs:label ?bridgeLabel FILTER ( LANG( ?bridgeLabel ) = "en" )
  }
}

Got 2 rows and 4 columns:
| ?bridge                             | ?bridgeLabel          | ?location                        | ?locationLabel      |
| ----------------------------------- | --------------------- | -------------------------------- | ------------------- |
| Chesapeake Bay Bridge (wd:Q1319988) | Chesapeake Bay Bridge | Anne Arundel County (wd:Q488701) | Anne Arundel County |
| Chesapeake Bay Bridge (wd:Q1319988) | Chesapeake Bay Bridge | Queen Anne's County (wd:Q511150) | Queen Anne's County |

The Chesapeake Bay Bridge is located in Anne Arundel County and Queen Anne's County, both of which are in the state of Maryland, USA.

[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] where is chesapeake bay bridge?

[Assistant]
To answer the question "Where is Chesapeake Bay Bridge?" I need to find the entity for Chesapeake Bay Bridge and then find its location property in the knowledge graph.

Step 1: Search for the entity "Chesapeake Bay Bridge" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Chesapeake Bay Bridge, also known as Bay Bridge, Governor William Preston Lane Jr. Memorial Bridge, Gov. William Preston Lane Jr. Memorial Bridge, William Preston Lane Junior Memorial Bridge (wd:Q1319988): major dual-span bridge in the U.S. state of Maryland, spanning the Chesapeake Bay
2. Chesapeake Bay Bridge-Tunnel, also known as Lucius J. Kellam, Jr. Bridge-Tunnel, CBBT (wd:Q1070563): bridge-tunnel beginning in Chesapeake Bay, Virginia
3. Chesapeake Bay Bridge–Tunnel (wd:Q60094303): scholarly article
4. Chesapeake Bay Bridge and Tunnel (wd:Q114520613): episode of Modern Marvels (S8 E5)
5. Chesapeake Bay Bridge and Tunnel District (wd:Q5092828): political subdivision of Virginia
6. Chesapeake Bay (wd:Q216868): estuary in the U.S. states of Maryland, Delaware, District of Columbia, and Virginia
7. San Francisco–Oakland Bay Bridge, also known as Emperor Norton Bridge, Bay Bridge, San Francisco-Oakland Bay Bridge (wd:Q771404): suspension bridge connecting San Francisco and Oakland, California, USA
8. Yokohama Bay Bridge, also known as Bay Bridge (wd:Q1138655): cable-stayed bridge
9. Bridge Bay (wd:Q49374128): bay in Teton County, Wyoming, United States of America
10. Bay Bridge (wd:Q112811780): British racehorse

[Assistant] The entity "Chesapeake Bay Bridge" corresponds to wd:Q1319988. Now I will look for the location or place where this bridge is situated. Typically, the property for location or situated in is P276 (location) or P131 (located in the administrative territorial entity). I will check these properties for the entity wd:Q1319988.

[Tool]
Got 2 rows and 3 columns:
| subject                             | property                                                    | object                           |
| ----------------------------------- | ----------------------------------------------------------- | -------------------------------- |
| Chesapeake Bay Bridge (wd:Q1319988) | located in the administrative territorial entity (wdt:P131) | Anne Arundel County (wd:Q488701) |
| Chesapeake Bay Bridge (wd:Q1319988) | located in the administrative territorial entity (wdt:P131) | Queen Anne's County (wd:Q511150) |

[Assistant] The Chesapeake Bay Bridge (wd:Q1319988) is located in the administrative territorial entities Anne Arundel County (wd:Q488701) and Queen Anne's County (wd:Q511150). To provide a more general location, I will check the states or larger administrative entities these counties belong to.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                                    | object              |
| -------------------------------- | ----------------------------------------------------------- | ------------------- |
| Anne Arundel County (wd:Q488701) | located in the administrative territorial entity (wdt:P131) | Maryland (wd:Q1391) |

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                                    | object              |
| -------------------------------- | ----------------------------------------------------------- | ------------------- |
| Queen Anne's County (wd:Q511150) | located in the administrative territorial entity (wdt:P131) | Maryland (wd:Q1391) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?state ?stateLabel WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( LANG( ?stateLabel ) = "en" )
  }
}

Saint Louis University is in the state of Missouri.

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

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

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

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

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

[User] what state is saint louis university in?

[Assistant] Step 1: Identify the entity "Saint Louis University" in Wikidata to get its identifier. I will search for the entity "Saint Louis University".

[Tool]
Top 10 entity alternatives:
1. Saint Louis University, also known as SLU, St. Louis University (wd:Q734774): private research university with campuses in St. Louis, Missouri, and Madrid, Spain
2. Saint Louis University, also known as SLU, St. Louis University (wd:Q7401676): university in Baguio, Philippines
3. Washington University in St. Louis, also known as WUSTL, WashU, Wash. U., Washington University in Saint Louis, Washington University (Saint Louis, Mo.) (wd:Q777403): private research university in St. Louis, Missouri, United States
4. Saint Louis Billikens, also known as Saint Louis University athletics (wd:Q7401655): athletic program of Saint Louis University
5. Saint Louis University Hospital, also known as Firmin Desloge Hospital, SLU Hospital (wd:Q7401677): hospital in Missouri, United States
6. Saint Louis University Bookstore (wd:Q99475974): bookshop in Saint Louis, MO, United States of America
7. Saint Louis University Madrid Campus (wd:Q4116998)
8. Maryville University, also known as Maryville College of the Sacred Heart, Maryville University of St. Louis, Maryville University of Saint Louis (wd:Q6781811): private university located in Missouri
9. University of Saint Louis Tuguegarao (wd:Q7896224): private university in the Philippines
10. Saint Louis University Law Journal (wd:Q15767443): journal

[Assistant] The most relevant entity for "Saint Louis University" is wd:Q734774, which is a private research university with campuses in St. Louis, Missouri, and Madrid, Spain. Now I will find the state where this university is located. I will look for the property related to location or state for this entity.

[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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. 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
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. 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)
6. 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
7. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
8. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
9. MusicBrainz place ID, also known as MBP, place MBID, place ID, MusicBrainz location ID, MB place id (wd:P1004 as p/wdtn/wdt): Identifier for a place in the MusicBrainz open music encyclopedia
10. 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)

No other items found

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) seems to be the appropriate property to find the state where Saint Louis University is located. I will query the value of this property for the entity wd:Q734774.

[Tool]
Got 1 row and 2 columns:
| ?state                | ?stateLabel |
| --------------------- | ----------- |
| St. Louis (wd:Q38022) | St. Louis   |

[Assistant] The query result shows that Saint Louis University (wd:Q734774) is located in St. Louis (wd:Q38022). However, the question asks for the state, not the city. I will now find the state that St. Louis (wd:Q38022) is located in by querying the property "located in the administrative territorial entity" (wdt:P131) for St. Louis.

[Tool]
Got 1 row and 2 columns:
| ?state              | ?stateLabel |
| ------------------- | ----------- |
| Missouri (wd:Q1581) | Missouri    |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel WHERE {
  wd:Q3887743 wdt:P54 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?team                            | ?teamLabel          |
| -------------------------------- | ------------------- |
| Philadelphia Eagles (wd:Q219714) | Philadelphia Eagles |
| Seattle Seahawks (wd:Q221878)    | Seattle Seahawks    |
| Las Vegas Raiders (wd:Q324523)   | Las Vegas Raiders   |

Owen Schmitt has played for the Philadelphia Eagles, Seattle Seahawks, and Las Vegas Raiders.

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

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

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

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

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

[User] who does owen schmitt play for?

[Assistant] Step 1: Identify the entity "Owen Schmitt" in the knowledge graph. I will search for the entity "Owen Schmitt" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Owen Schmitt (wd:Q3887743): American football fullback, American football player
2. Richard Owen, also known as R. Owen, Owen, Richard, Prof OWEN F.R.S., Sir Richard Owen, Sir R. Owen (wd:Q151556): English biologist and paleontologist (1804–1892), paleoanthropologist, university teacher, paleontologist, zoologist, anatomist, biologist, curator, writer
3. Wilfred Owen, also known as Owen, Wilfred Edward Salter Owen (wd:Q212719): English poet and soldier (1893-1918), writer, poet
4. Owen (wd:Q81006): municipality in Germany
5. Owen, also known as City of Owen, Owen, WI (wd:Q1569456): city in Clark County, Wisconsin
6. Schmitt (wd:Q654052): municipality of Germany
7. Owain Owain, also known as Owen Owen (wd:Q3398027): Welsh novelist, short story writer and poet (1929–1993), nuclear physicist, educator, writer, poet
8. Schmitt (wd:Q2246512): family name
9. Owen, also known as Owen surname, Owen family name (wd:Q1158545): family name
10. Mount Owen, also known as Mount Owen (Antarctica), Owen (wd:Q6922630): mountain in Antarctica

[Assistant] I found the entity Owen Schmitt (wd:Q3887743) who is an American football fullback and player. Next, I will search for the property related to the team or club he plays for. I will search for properties of the entity Owen Schmitt related to "team" or "club".

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
6. 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)
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. 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
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country

No other items found

[Assistant] The property "member of sports team" (wdt:P54) is used to indicate the sports teams or clubs that the subject represents or represented. I will now write a SPARQL query to find the sports team(s) that Owen Schmitt plays for using this property.

[Tool]
Got 3 rows and 2 columns:
| ?team                            | ?teamLabel          |
| -------------------------------- | ------------------- |
| Philadelphia Eagles (wd:Q219714) | Philadelphia Eagles |
| Seattle Seahawks (wd:Q221878)    | Seattle Seahawks    |
| Las Vegas Raiders (wd:Q324523)   | Las Vegas Raiders   |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?religion ?religionLabel WHERE {
  wd:Q801 wdt:P3075 ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel FILTER ( LANG( ?religionLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| ?religion               | ?religionLabel |
| ----------------------- | -------------- |
| Druzism (wd:Q163943)    | Druzism        |
| Islam (wd:Q432)         | Islam          |
| Christianity (wd:Q5043) | Christianity   |
| Judaism (wd:Q9268)      | Judaism        |

The official religions of Israel include Druzism, Islam, Christianity, and Judaism. Among these, Judaism is the predominant religion in Israel.

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

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

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

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

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

[User] what is the predominant religion in israel?

[Assistant]
To answer the question about the predominant religion in Israel, I need to identify the entity for Israel and find the property that indicates the predominant or main religion of a country.

Step 1: Search for the entity "Israel" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Israel, also known as Yisrael, State of Israel, IL, ISR, il (wd:Q801): country in Western Asia
2. Jacob, also known as Yisrael, Ya'aqov, Yaakov, Ya'akov, Israel (wd:Q289957): in Genesis, a son of Isaac, also known as Israel; the patriarch of the Israelites, shepherd
3. Jozef Israëls, also known as jos. jsraels, jo.s israels, jos. israel, jos. israels, joseph israels (wd:Q528460): Dutch painter (1824-1911), lithographer, draftsperson, printmaker, painter
4. Jacob in Islam, also known as Yaʿqūb, Yaqub, Ya'qub, Israel (wd:Q2513598): Prophet and son of Isaac in Islam, prophet of Islam
5. Isaac Israëls, also known as Isaac Lazerus Israëls, Isaac Lazarus Israëls, Isaac Lazerus Israels, Isräel, Israels (wd:Q979534): Dutch painter associated with Amsterdam Impressionism (1865-1934), visual artist, draftsperson, photographer, lithographer, painter
6. Israel, also known as Israel (wd:Q2366978): name
7. WikiProject Israel, also known as Israel (wd:Q10781185): Wikimedia subject-area collaboration
8. Israel Houghton, also known as Israel, Isræl (wd:Q5814434): singer-songwriter, American musician, singer
9. Israel in the Eurovision Song Contest 2012, also known as Israel (wd:Q1588466)
10. Israel+, also known as TIN, The Israeli Network (wd:Q2896801): International television network

[Assistant] The entity for the country Israel is wd:Q801. Next, I need to find the property that indicates the predominant or main religion of a country. I will search for properties related to "predominant religion" or "main religion" for the entity Israel (wd:Q801).

[Tool]
Top 10 property alternatives:
1. official religion, also known as established religion, state religion (wd:P3075 as wdt/p): official religion in this administrative entity
2. demographics of topic, also known as demography of topic (wd:P9241 as wdt/p): item that deals with demographics of the subject
3. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
4. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as wdt/p): political ideology of an organization or person or of a work (such as a newspaper)
5. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
6. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
7. category of associated people, also known as key people category, category of people associated with this place, category for people associated with this place (wd:P1792 as wdt/p): Wikimedia category for people associated with this place or organization, related category
8. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as wdt/p): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
9. female population (wd:P1539 as wdt/p): number of female people inhabiting the place; number of female people of subject, population
10. male population, also known as male inhabitants, number of males (wd:P1540 as wdt/p): number of male people inhabiting the place; number of male people of subject, population

No other items found

[Assistant] The property "official religion" (wdt:P3075) seems to be the most relevant to indicate the predominant or main religion of a country. I will now construct a SPARQL query to find the official religion of Israel (wd:Q801) using this property.

[Tool]
Got 4 rows and 2 columns:
| ?religion               | ?religionLabel |
| ----------------------- | -------------- |
| Druzism (wd:Q163943)    | Druzism        |
| Islam (wd:Q432)         | Islam          |
| Christianity (wd:Q5043) | Christianity   |
| Judaism (wd:Q9268)      | Judaism        |

[Assistant]
The query returned multiple official religions for Israel: Druzism, Islam, Christianity, and Judaism. Since the question asks for the predominant religion, I need to check if there is a property or statement that indicates the predominant or majority religion in Israel.

I will search for properties related to "majority religion" or "predominant religion" for Israel (wd:Q801).

[Tool]
Top 10 property alternatives:
1. official religion, also known as established religion, state religion (wd:P3075 as wdt/p): official religion in this administrative entity
2. demographics of topic, also known as demography of topic (wd:P9241 as wdt/p): item that deals with demographics of the subject
3. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
4. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as wdt/p): political ideology of an organization or person or of a work (such as a newspaper)
5. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
6. age of majority (wd:P2997 as p/wdt): threshold of adulthood as recognized or declared in law. Use qua... "start time" (P580) or "point in time" (P585) for historic data, minimum age
7. male population, also known as male inhabitants, number of males (wd:P1540 as wdt/p): number of male people inhabiting the place; number of male people of subject, population
8. basic form of government, also known as form of government, government, type of government (wd:P122 as wdt/p): subject's government
9. female population (wd:P1539 as wdt/p): number of female people inhabiting the place; number of female people of subject, population
10. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Assistant]
There is no direct property for "majority religion" or "predominant religion" for Israel in the search results. The closest property is "official religion" (wdt:P3075), which lists multiple religions.

To find the predominant religion, I will try to find demographic information about religions in Israel. I will query for statements about Israel's demographics (wdt:P9241) and see if there is information about religion.

[Tool]
Got 1 row and 2 columns:
| ?demographic                        | ?demographicLabel      |
| ----------------------------------- | ---------------------- |
| demographics of Israel (wd:Q968767) | demographics of Israel |

[Assistant] There is an entity for the demographics of Israel (wd:Q968767). I will now check if there is information about religion within the demographics of Israel. I will query for statements about religion related to the demographics of Israel (wd:Q968767).

[Tool] Got no rows and 3 columns

[Assistant] There are no direct statements about religion (property wdt:P140) for the demographics of Israel (wd:Q968767). I will try a broader search for statements about religion (wdt:P140) related to Israel (wd:Q801) itself.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct statements about religion (wdt:P140) for Israel (wd:Q801) either. Since the property "official religion" (wdt:P3075) lists multiple religions, I will check the population distribution of religions in Israel by querying for the population percentage or population count of each religion in Israel.

I will search for properties related to "population" and "religion" for Israel (wd:Q801).

[Tool]
Top 10 property alternatives:
1. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
2. official religion, also known as established religion, state religion (wd:P3075 as wdt/p): official religion in this administrative entity
3. rural population (wd:P6344 as p/wdt): number of people living within the territorial entity who live in its rural parts, population
4. male population, also known as male inhabitants, number of males (wd:P1540 as wdt/p): number of male people inhabiting the place; number of male people of subject, population
5. urban population (wd:P6343 as p/wdt): number of people living within the territorial entity who live in its urban parts, population
6. female population (wd:P1539 as wdt/p): number of female people inhabiting the place; number of female people of subject, population
7. demographics of topic, also known as demography of topic (wd:P9241 as wdt/p): item that deals with demographics of the subject
8. birth rate (wd:P8763 as wdt/p): the total number of live births per 1,000 population
9. total fertility rate (wd:P4841 as p/wdt): average number of children that would be born to a woman over her lifetime who lives in this territorial entity
10. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as p/wdt): market value of all officially recognized final goods and services produced within a country in a given period of time

No other items found

[Assistant]
There are no specific properties directly linking population by religion for Israel. Given the limitations, the best available information is the "official religion" property which lists multiple religions including Judaism, Islam, Christianity, and Druzism.

Based on general knowledge, Judaism is the predominant religion in Israel. I will finalize the answer with the official religions listed and highlight Judaism as the predominant religion.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location ?locationLabel WHERE {
  wd:Q55464116 wdt:P159 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?location               | ?locationLabel |
| ----------------------- | -------------- |
| Indianapolis (wd:Q6346) | Indianapolis   |

The National FFA Foundation is located in Indianapolis today.

[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] where is the national ffa foundation located today?

[Assistant] Step 1: Identify the main entity in the question, which is "National FFA Foundation." I will search for this entity in Wikidata to find its identifier.

[Tool]
Top 10 entity alternatives:
1. National FFA Foundation (wd:Q55464116): https://www.ffa.org/support/foundation
2. 2017 National FFA Foundation Convention (wd:Q123701667)
3. 2017 National FFA Foundation Convention Opening Session (wd:Q123701666)
4. national foundation, also known as foundation of a country, foundation of a nation (wd:Q2324975): event or process, usually mythical or legendary, through which a nation is founded
5. National Science Foundation, also known as N.S.F., NSF, United States National Science Foundation, U.S. National Science Foundation, US National Science Foundation (wd:Q304878): United States government agency
6. National Foundation Day, also known as Kenkoku Kinen no Hi, National Foundation Day of Japan (wd:Q1059995): Japanese holiday to celebrate the foundation of Japan.
7. Gaecheonjeol, also known as National Foundation Day (wd:Q485634): public holiday in South Korea
8. National Bonsai Foundation (wd:Q3539656): nonprofit organization that was created to sustain the National Bonsai and Penjing Museum
9. Cuban American National Foundation, also known as CANF, Cuban-American National Foundation, FNCA (wd:Q391051)
10. National Research Foundation, also known as National Research Foundation, South Africa, nrf.ac.za, NRF, National Research Foundation of South Africa (wd:Q6978050): autonomous statutory body of South Africa

[Assistant] The National FFA Foundation is identified as wd:Q55464116 in Wikidata. Next, I will look for the property that indicates the location of this foundation. Common properties for location are "location" (wdt:P276) or "headquarters location" (wdt:P159). I will check which of these properties are used for the National FFA Foundation.

[Tool]
Got 47 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                         | object                                |
| -------------------------------------- | -------------------------------- | ------------------------------------- |
| National FFA Foundation (wd:Q55464116) | instance of (wdt:P31)            | nonprofit organization (wd:Q163740)   |
| National FFA Foundation (wd:Q55464116) | country (wdt:P17)                | United States (wd:Q30)                |
| National FFA Foundation (wd:Q55464116) | official website (wdt:P856)      | <https://www.ffa.org>                 |
| National FFA Foundation (wd:Q55464116) | headquarters location (wdt:P159) | Indianapolis (wd:Q6346)               |
| National FFA Foundation (wd:Q55464116) | legal form (wdt:P1454)           | 501(c)(3) organization (wd:Q18325436) |
| National FFA Foundation (wd:Q55464116) | total revenue (wdt:P2139)        | 17064836                              |
| National FFA Foundation (wd:Q55464116) | total assets (wdt:P2403)         | 41160721                              |
| National FFA Foundation (wd:Q55464116) | donations (wdt:P8093)            | 14065954                              |
| National FFA Foundation (wd:Q55464116) | X (Twitter) username (wdt:P2002) | nationalffa                           |
| National FFA Foundation (wd:Q55464116) | Facebook username (wdt:P2013)    | nationalffa                           |
| ...                                    | ...                              | ...                                   |

[Assistant] The National FFA Foundation (wd:Q55464116) has a property "headquarters location" (wdt:P159) with the value "Indianapolis" (wd:Q6346). This indicates that the National FFA Foundation is located in Indianapolis today. I will now formulate the final SPARQL query to retrieve this information.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?actor ?actorLabel WHERE {
  wd:Q51746 wdt:P175 ?actor .
  ?actor rdfs:label ?actorLabel .
  FILTER ( LANG( ?actorLabel ) = "en" )
}

The actor who played Luke Skywalker is Mark Hamill.

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

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

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

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

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

[User] who would play luke skywalker?

[Assistant]
The question is asking for the actor who played the character Luke Skywalker.

Step 1: Identify the entity "Luke Skywalker" in the knowledge graph.
Step 2: Identify the property that relates a character to the actor who played them.

I will start by searching for the entity "Luke Skywalker" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Luke Skywalker, also known as Luke Starkiller (wd:Q51746): fictional character from Star Wars, starship pilot, mechanic, rebel, Jedi
2. Luke Skywalker, also known as 1978 Luke Skywalker (wd:Q125304798): 1978 Star Wars miniature action figure
3. Luke Skywalker (Hoth Battle Gear), also known as 1980 Luke Skywalker (wd:Q131787546): 1980 Star Wars miniature action figure
4. Luke Skywalker (Bespin Fatigues), also known as 1980 Luke Skywalker (wd:Q131785930): 1980 Star Wars miniature action figure
5. Luke Skywalker: X-Wing Pilot, also known as 1978 Luke Skywalker: X-Wing Pilot (wd:Q131785637): 1978 Star Wars miniature action figure
6. Luke Skywalker's lightsaber, also known as Luke Skywalker's laser sword, Luke's laser sword, Luke's lightsaber (wd:Q109322277): fictional lightsaber from the Star Wars universe
7. Luke Skywalker's X-wing starfighter (wd:Q131848835): fictional spacecraft from the Star Wars universe
8. Luke Skywalker and the Shadows of Mindor (wd:Q6702352): 2008 novel by Matthew Stover
9. Gospel of Luke, also known as Luke, Gospel of Saint Luke, Gospel According to Luke (wd:Q39939): book of the New Testament
10. Luke the Evangelist, also known as Saint Luke, Lucanus, Luke, Lukas (wd:Q128538): one of the four evangelists, iconographer, evangelist, physician, painter, writer

[Assistant]
The entity "Luke Skywalker" as a fictional character from Star Wars is identified as wd:Q51746.

Next, I need to find the property that relates this character to the actor who played him. This is likely a property related to "cast member" or "portrayed by."

I will search for properties related to "played by" or "actor" for the entity Luke Skywalker (wd:Q51746).

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. 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
3. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as wdt/p): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
4. 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
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. 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)
7. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
8. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as p/wdt): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses
9. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
The property "performer" (wdt:P175) is used to indicate the actor or performer associated with a role or character.

Now I will construct a SPARQL query to find the performer (actor) who played Luke Skywalker (wd:Q51746). I will also include the actor's label for readability.

[Tool]
Got 1 row and 2 columns:
| ?actor                   | ?actorLabel |
| ------------------------ | ----------- |
| Mark Hamill (wd:Q210447) | Mark Hamill |

[Tool] Stopped generation process