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 ?school ?schoolLabel WHERE {
  wd:Q4583 wdt:P69 ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Anne Frank went to the 6th Montessori School Anne Frank.

[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 did anne frank go to school?

[Assistant]
To answer the question "Where did Anne Frank go to school?", I need to identify the entity for Anne Frank in Wikidata and then find the property related to the school or educational institution she attended.

Step 1: Search for the entity "Anne Frank" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Anne Frank, also known as Anne M. Frank, Anna Frank, Anne Maries Frank, Annelies Marie Frank, Anna M Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
2. Anne Frank, also known as Anne Maries Frank, Anne M. Frank, Annelies Marie Frank, Anna M Frank, Anna Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
3. Statue of Anne Frank, also known as Anne Frank (wd:Q27918477): public artwork by Pieter d'Hont in Utrecht, the Netherlands
4. Bust of Anne Frank, also known as Anne Frank (wd:Q41688543): sculpture by Doreen Kern
5. Aenne Pahl, also known as Anne Frank (wd:Q60540011): painter
6. Anne Frank (wd:Q128498127): opera by Shulamit Ran
7. Anne Frank (wd:Q99711206): television executive
8. Anne Frank, also known as No Guilt (wd:Q123907483): 1990 single by Brainbombs
9. Anne Frank (wd:Q115618903): sculpture in Berlin, Germany
10. Anne Frank (wd:Q106898038): costume designer, theatre manager, textile worker, puppeteer, director

[Assistant] The entity for Anne Frank is wd:Q4583. Next, I will search for properties related to the school or educational institution she attended. I will look for properties related to "school" or "education" for the entity Anne Frank (wd:Q4583).

[Tool]
Top 10 property alternatives:
1. 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
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. 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. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
7. 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)
8. 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
9. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject

No other items found

[Assistant] The property "educated at" (wdt:P69) corresponds to the educational institution attended by the subject. I will now query the educational institution(s) Anne Frank attended using this property.

[Tool]
Got 1 row and 2 columns:
| ?school                                         | ?schoolLabel                     |
| ----------------------------------------------- | -------------------------------- |
| 6th Montessori School Anne Frank (wd:Q19830060) | 6th Montessori School Anne Frank |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinate WHERE {
  wd:Q182139 wdt:P625 ?coordinate .
}

The Isthmus of Panama (wd:Q182139) is located at the coordinates POINT(-79.000000 9.000000), which corresponds to approximately 9 degrees latitude and -79 degrees longitude on the map.

[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 isthmus of panama located on the map?

[Assistant]
The user is asking for the location of the Isthmus of Panama on the map. This corresponds to the geographical location of the Isthmus of Panama. To answer this, I need to find the entity for "Isthmus of Panama" in Wikidata and then retrieve its location or coordinates. The location on the map can be represented by coordinates (latitude and longitude).

Step 1: Search for the entity "Isthmus of Panama" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Isthmus of Panama, also known as Istmo de Panama, Istmo de Panamá, Panama Isthmus (wd:Q182139): narrow landstrip in Panama
2. Hydrology of the Isthmus of Panama (wd:Q33778332): scientific article
3. Ferns of the Isthmus of Panama (wd:Q56189008)
4. Formation of the Isthmus of Panama (wd:Q26740287): scientific article
5. Historical biogeography of the Isthmus of Panama (wd:Q30656167): scientific article
6. Piercing the Isthmus of Panama 1 (wd:Q60414062): scientific article published in Nature
7. Across the Isthmus of Panama in 1912 (wd:Q3604775): 1912 film
8. How old is the Isthmus of Panama? (wd:Q61465180): article published in 2013
9. Dengue-like fever on the Isthmus of Panama. (wd:Q41093706): scientific article published on January 1945
10. Fauna of the Gatun Formation, Isthmus of Panama (wd:Q106954095)

[Assistant] The entity "Isthmus of Panama" is identified as wd:Q182139 in Wikidata. Now, I will retrieve the geographical location or coordinates of this entity to determine where it is located on the map.

[Tool]
Got 1 row and 2 columns:
| ?coordinate                | ?coordinateLabel |
| -------------------------- | ---------------- |
| POINT(-79.000000 9.000000) |                  |

[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 ?governmentType ?governmentTypeLabel WHERE {
  wd:Q183 wdt:P122 ?governmentType .
  OPTIONAL {
    ?governmentType rdfs:label ?governmentTypeLabel FILTER ( LANG( ?governmentTypeLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| ?governmentType                              | ?governmentTypeLabel           |
| -------------------------------------------- | ------------------------------ |
| parliamentary republic (wd:Q4198907)         | parliamentary republic         |
| federation (wd:Q43702)                       | federation                     |
| federal parliamentary republic (wd:Q5440547) | federal parliamentary republic |
| republic (wd:Q7270)                          | republic                       |

Germany has a federal parliamentary republic type of government. The query results show that Germany is described as a parliamentary republic, federation, federal parliamentary republic, and republic. The most specific and accurate description is federal parliamentary republic.

[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 type of government does germany have now?

[Assistant] To answer the question about the type of government Germany has now, I need to identify the entity for Germany and the property that represents the type of government or political system. I will start by searching for the entity "Germany" in Wikidata.

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

[Assistant] The entity for Germany as a country is wd:Q183. Next, I will search for properties related to the type of government for this entity. I will search for properties related to "government" or "type of government" for Germany (wd:Q183).

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as wdt/p): subject's government
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/p): seat of government of a country, province, state or other type of administrative territorial entity
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdt/p): political office that is fulfilled by the head of the government of this item
5. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as wdt/p): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
6. executive body, also known as executive branch (wd:P208 as p/wdt): branch of government for the daily administration of the territorial entity
7. Historical Gazetteer (GOV) ID, also known as GOV ID, GOV-ID (wd:P2503 as wdt/p): Historical Gazetteer
8. 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
9. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdt/p): political office that is fulfilled by the head of state of this item
10. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdt/p): official with the highest formal authority in a country/state, director / manager, chairperson

No other items found

[Assistant] The property "basic form of government" (wdt:P122) seems to be the most relevant for the type of government. I will now query the value of this property for Germany (wd:Q183).

[Tool]
Got 4 rows and 2 columns:
| ?governmentType                              | ?governmentTypeLabel           |
| -------------------------------------------- | ------------------------------ |
| parliamentary republic (wd:Q4198907)         | parliamentary republic         |
| federation (wd:Q43702)                       | federation                     |
| federal parliamentary republic (wd:Q5440547) | federal parliamentary republic |
| republic (wd:Q7270)                          | republic                       |

[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 DISTINCT ?state ?stateLabel WHERE {
  wd:Q1265 wdt:P131 ?state .
  ?state wdt:P31 / wdt:P279 * wd:Q35657 .
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( LANG( ?stateLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| ?state              | ?stateLabel |
| ------------------- | ----------- |
| Nevada (wd:Q1227)   | Nevada      |
| Colorado (wd:Q1261) | Colorado    |
| Arizona (wd:Q816)   | Arizona     |
| Utah (wd:Q829)      | Utah        |
| California (wd:Q99) | California  |

The Colorado River runs through the states of Nevada, Colorado, Arizona, Utah, and California.

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

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

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

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

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

[User] which states does the colorado river run through?

[Assistant] To answer the question "which states does the Colorado River run through?" I will first identify the entity for the Colorado River in Wikidata. Then I will look for the property that indicates the states or administrative regions the river runs through. Finally, I will construct a SPARQL query to retrieve the states through which the Colorado River flows.

[Tool]
Top 10 entity alternatives:
1. Colorado River, also known as Rio de Buena Guia, Rio Colorado, Rio Colorado del Norte, Rio Colorado Del Norte, Rio Cosnina (wd:Q1265): major river in the western United States and Mexico
2. Colorado River (wd:Q270627): river in Argentina
3. Brazos River, also known as Los Brazos de Dios, Uhkto'wusi'yohe, Tokonohono, The River of the Arms of God, Rio Trinidad (wd:Q903306): river in Texas, United States
4. Colorado River (wd:Q847785): river in Texas, United States
5. Colorado River (wd:Q2984377): river in Costa Rica
6. Colorado River (wd:Q5148881): river in Bolivia
7. Colorado River (wd:Q5148884)
8. Colorado River, also known as Colorado River (Maipo) (wd:Q5148879): tributary of Maipo River in RM, Chile
9. Colorado river (wd:Q23649107): watercourse in Chile
10. Colorado River, also known as Rio Colorado (wd:Q5148883): river in Rondônia, Brazil

[Assistant] The Colorado River in the western United States and Mexico is represented by the entity wd:Q1265. Next, I will find the property that indicates the states or administrative regions through which the river runs. This is likely to be a property related to "located in the administrative territorial entity" or "passes through." I will search for properties related to the Colorado River entity that might indicate the states it runs through.

[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. 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
3. 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
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. 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)
6. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) is the most suitable to find the states through which the Colorado River runs. I will now construct a SPARQL query to retrieve the states (administrative territorial entities of the type "state" or equivalent) that the Colorado River (wd:Q1265) runs through. I will also include labels for better readability.

[Tool]
Got 5 rows and 2 columns:
| ?state              | ?stateLabel |
| ------------------- | ----------- |
| Nevada (wd:Q1227)   | Nevada      |
| Colorado (wd:Q1261) | Colorado    |
| Arizona (wd:Q816)   | Arizona     |
| Utah (wd:Q829)      | Utah        |
| California (wd:Q99) | California  |

[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 ?character ?characterLabel WHERE {
  ?character wdt:P725 wd:Q37628 .
  ?character wdt:P1441 wd:Q5930 .
  OPTIONAL {
    ?character rdfs:label ?characterLabel FILTER ( LANG( ?characterLabel ) = "en" )
  }
}
LIMIT 10

Got 1 row and 2 columns:
| ?character               | ?characterLabel |
| ------------------------ | --------------- |
| Meg Griffin (wd:Q908772) | Meg Griffin     |

Mila Kunis plays the character Meg Griffin on Family Guy.

[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 mila kunis play on family guy?

[Assistant]
To answer the question "Who does Mila Kunis play on Family Guy?", I need to find the character that Mila Kunis voices or plays in the TV show Family Guy.

Step 1: Identify the entity for Mila Kunis.
Step 2: Identify the entity for Family Guy.
Step 3: Find the character(s) associated with Mila Kunis in Family Guy.

I will start by searching for the entity of Mila Kunis in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Mila Kunis, also known as Milena Markivna Kunis, Milena Markovna (wd:Q37628): Ukrainian-American actress, television producer, television actor, child actor, voice actor, film actor, model, actor
2. Mila (wd:Q335676): commune and town in Algeria
3. Wiska, also known as Nastya C., Nastya, Nastja, Mila, Nastika (wd:Q4149842): Ukrainian pornographic actress, pornographic actor, model
4. Mila, also known as Mila District (wd:Q9384879): district in Pidie Regency, Aceh Province, Indonesia
5. Mila, also known as Mila (given name), Mila (first name) (wd:Q3217317): unisex given name
6. Mila (wd:Q132982762): 2025 single by Princ od Vranje
7. Milá (wd:Q12037654): village in Most District of Ústí nad Labem region
8. Mila (wd:Q66759429): American pornographic actress, pornographic actor, film director
9. Mila (wd:Q132982762): 2025 single by Princ od Vranje
10. Milá (wd:Q1935990): mountain in Czech Republic

[Assistant] I found the entity for Mila Kunis as wd:Q37628. Next, I will search for the entity for the TV show Family Guy.

[Tool]
Top 10 entity alternatives:
1. Family Guy (wd:Q5930): American adult animated sitcom
2. Family Guy (wd:Q5930): American adult animated sitcom
3. Family Guy (wd:Q5433143): pinball table
4. Family Guy, also known as Family Guy franchise (wd:Q55012102): American media franchise
5. Family Guy (wd:Q108370888): video game series
6. Inside Family Guy (wd:Q27877310): episode of Family Guy (S15 E4)
7. Family Guy: Uncensored, also known as Uncensored (wd:Q18928703): iOS game
8. Family Guy Online (wd:Q5433145): 2012 video game
9. Family Guy controversies, also known as Criticism of Family Guy (wd:Q5186798): Wikimedia list article
10. Family Guy Lite (wd:Q102842382): episode of Family Guy (S17 E14)

[Assistant] I found the entity for Family Guy as wd:Q5930. Now I will find the character that Mila Kunis plays in Family Guy. This can be found by looking for characters linked to Mila Kunis (wd:Q37628) and Family Guy (wd:Q5930). I will search for properties of Mila Kunis related to roles or characters.

[Tool]
Top 10 property alternatives:
1. Personality Database profile ID, also known as Personality DB ID, www.personality-database.com/profile/, Personality DB profile ID, Personality DB profile, Personality DB identifier (wd:P10757 as p/wdt): identifier of a human, fictional character, or other entity on the Personality Database website
2. 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)
3. 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)
4. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. 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
6. 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
7. 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)
8. TV Tropes ID, also known as Tropes ID, Tropes identifier, TV Tropes, TVTropes ID, TV Tropes identifier (wd:P6839 as wdt/p): identifier in the TV Tropes online wiki
9. Swedish Film Database person ID, also known as Swedish Film Database person ID, svenskfilmdatabas.se/sv/item/?type=person, SFI person ID, SFDb person ID, Svensk Filmdatabas person ID (wd:P2168 as p/wdt): identifier for a person on the Swedish Film Database (SFDb)
10. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in

No other items found

[Assistant] The search for properties of Mila Kunis related to "character" did not yield a direct property for the character she plays. I will try searching for properties related to "voice actor" or "voice role" for Mila Kunis, as she is a voice actor in Family Guy.

[Tool]
Top 10 property alternatives:
1. 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)
2. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as wdt/p): language or languages a person has learned from early childhood, languages spoken, written or signed
3. Behind The Voice Actors person ID, also known as behindthevoiceactors.com person ID, BTVA person ID, BTVA ID (wd:P5007 as wdt/p): identifier of a person on the website Behind The Voice Actors
4. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
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. 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
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
8. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt): alias used by someone (for nickname use P1449), name
9. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
10. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

No other items found

[Assistant] The search for voice-related properties for Mila Kunis did not yield a direct property for the character she voices. I will try a different approach: I will search for characters in Family Guy and see if any are linked to Mila Kunis as the voice actor. I will search for characters of Family Guy first.

[Tool]
Top 10 entity alternatives:
1. Bertram Griffin, also known as character from Family Guy (wd:Q85989162)
2. Family Guy (wd:Q5930): American adult animated sitcom
3. Family Guy (wd:Q5930): American adult animated sitcom
4. Family Guy (wd:Q5433143): pinball table
5. Family Guy, also known as Family Guy franchise (wd:Q55012102): American media franchise
6. Family Guy (wd:Q108370888): video game series
7. Inside Family Guy (wd:Q27877310): episode of Family Guy (S15 E4)
8. Family Guy: Uncensored, also known as Uncensored (wd:Q18928703): iOS game
9. Family Guy Online (wd:Q5433145): 2012 video game
10. Family Guy controversies, also known as Criticism of Family Guy (wd:Q5186798): Wikimedia list article

[Assistant] I found an entity for a character from Family Guy: Bertram Griffin (wd:Q85989162). I will now try to find characters from Family Guy and check if Mila Kunis is linked as the voice actor for any of them. I will search for characters that have "Family Guy" as the TV show and have a voice actor property.

[Tool]
Top 10 property alternatives:
1. voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member
2. Behind The Voice Actors person ID, also known as behindthevoiceactors.com person ID, BTVA person ID, BTVA ID (wd:P5007 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier of a person on the website Behind The Voice Actors
3. Deutsche Synchronkartei dubbing voice actor ID, also known as Synchronkartei dubbing voice actor identifier, Synchronkartei dubbing voice actor ID, Deutsche Synchronkartei dubbing voice actor identifier (wd:P4727 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a dubbing voice actor, in the synchronisation (dubbing) database Deutsche Synchronkartei
4. Behind The Voice Actors short ID, also known as BTVA short ID (wd:P7318 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier of a short on the website Behind The Voice Actors
5. Behind The Voice Actors character ID, also known as Behind The Voice Actors character identifier, BTVA character ID, BTVA character identifier (wd:P5107 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier of a character from the Behind The Voice Actors website
6. Behind The Voice Actors franchise ID, also known as BTVA franchise ID (wd:P5382 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier of a franchise in Behind the Voice Actors
7. Behind The Voice Actors film ID, also known as Behind The Voice Actors movie ID, BTVA movie ID (wd:P5384 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier of a film on the website Behind The Voice Actors
8. MyAnimeList people ID, also known as MyAnimeList actor ID, MyAnimeList voice actor ID, MyAnimeList staff ID, MyAnimeList person ID, MAL voice actor ID (wd:P4084 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): identifier for a person or group of people on MyAnimeList
9. audio recording of the subject's spoken voice, also known as voice recording, audio clip, spoken voice, speaking voice, recording of the subject's spoken voice (wd:P990 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
10. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)

[Assistant] I found the property "voice actor" (wdt:P725) which is used to indicate the performer of a spoken role in a creative work such as animation. I will now query for characters from Family Guy (wd:Q5930) where the voice actor is Mila Kunis (wd:Q37628).

[Tool] Got no rows and 2 columns

[Assistant] The query to find characters from Family Guy voiced by Mila Kunis returned no results. I will try a different approach: I will look for characters from Family Guy and check if any of them have Mila Kunis as the voice actor without filtering by instance of human.

[Tool]
Got 1 row and 2 columns:
| ?character               | ?characterLabel |
| ------------------------ | --------------- |
| Meg Griffin (wd:Q908772) | Meg Griffin     |

[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 ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1203 wdt:P20 ?placeOfDeath .
  ?placeOfDeath rdfs:label ?placeOfDeathLabel .
  FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
}

Got 1 row and 2 columns:
| ?placeOfDeath          | ?placeOfDeathLabel |
| ---------------------- | ------------------ |
| New York City (wd:Q60) | New York City      |

John Lennon died in New York City.

[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 do john lennon die?

[Assistant] To answer the question "Where did John Lennon die?" I need to find the entity for John Lennon and then find the property that indicates the place of death. I will start by searching for the entity "John Lennon" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as John Winston Ono Lennon, John Ono Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet
2. Liverpool John Lennon Airport, also known as John Lennon, John Lennon airport, Liverpool Airport, Liverpool (John Lennon), LPL (wd:Q8727): airport in Liverpool, England
3. John Lennon Silva Santos, also known as John Lennon (wd:Q6244563): association football player, Brazilian footballer
4. John Brown Lennon, also known as John B. Lennon, John Lennon (wd:Q6223555): American labor leader (1850–1923), trade unionist
5. John Lennon, also known as J. John Lennon, Justin John Lennon (wd:Q11979004): Scottish tourism researcher, university teacher, tourism scholar
6. John Lennon (wd:Q65548791): Irish hurler born 1996
7. John Lennon (wd:Q6244553): British naval captain, military personnel
8. John Lennon (wd:Q12871620): 1855 - 3 Aug 1921
9. John Lennon (wd:Q125643070): 2005 edition of written work by Jordi Sierra i Fabra
10. John Lennon (wd:Q106781630): 2015 song by SCH

[Assistant] The entity for John Lennon, the British musician, is wd:Q1203. Next, I will look for the property that indicates the place of death for this entity. I will search for properties related to "place of death" for John Lennon.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
4. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdt/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
7. 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
8. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
9. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
10. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as wdt/p): person or organization who killed the subject, significant person

No other items found

[Assistant] The property for "place of death" is wd:P20. Now I will write a SPARQL query to get the place of death for John Lennon (wd:Q1203) and also retrieve the label of the place.

[Tool]
Got 1 row and 2 columns:
| ?placeOfDeath          | ?placeOfDeathLabel |
| ---------------------- | ------------------ |
| New York City (wd:Q60) | New York City      |

[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:Q221048 wdt:P54 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Jackie Robinson was on the baseball team Los Angeles Dodgers.

[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 baseball team was jackie robinson on?

[Assistant] To answer the question "What baseball team was Jackie Robinson on?" I will first search for the entity "Jackie Robinson" in Wikidata to get his identifier. Then I will look for the property that indicates the baseball team he was on.

[Tool]
Top 10 entity alternatives:
1. Jackie Robinson, also known as Jack Roosevelt "Jackie" Robinson (wd:Q221048): American baseball player, athletics competitor, military officer, basketball coach, baseball player, vice president
2. Jackie Robinson, also known as Jack Robinson, Robert Lloyd Jackson Robinson (wd:Q731871): American basketball player (1927–2022), basketball player
3. Jackie Robinson (wd:Q1631748): American basketball player, basketball player
4. Jackie Robinson (wd:Q6116621): English footballer (1917–1972), association football player
5. Jackie Robinson, also known as Harry Hippy, Loren Jackson Robinson (wd:Q3805723): Jamaican musician, singer
6. Jackie Robinson (wd:Q25206446): 2016 film by Ken Burns
7. Jackie Robinson (wd:Q110043656): sketch from Saturday Night Live
8. Jackie Robinson (wd:Q100985462): college basketball player (1991–1993) South Carolina State, basketball player
9. Jackie Robinson (wd:Q112457903): 1944-
10. Jackie Robinson (wd:Q124413502): lecturer of marketing, academic, university teacher, researcher, academic

[Assistant] The entity "Jackie Robinson" as the American baseball player is identified as wd:Q221048. Next, I will search for the property that indicates the baseball team he was on. I will look for properties related to "team" or "baseball team" for this entity.

[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 p/wdt): sports teams or clubs that the subject represents or represented, member of
2. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/p): position or specialism of a player on a team
4. 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
5. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
6. 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
7. 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
8. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
9. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
10. 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 "member of sports team" (wdt:P54) is the relevant property that indicates the sports team or club that Jackie Robinson was a member of. I will now query the baseball teams that Jackie Robinson was a member of using this property.

[Tool]
Got 1 row and 2 columns:
| ?team                            | ?teamLabel          |
| -------------------------------- | ------------------- |
| Los Angeles Dodgers (wd:Q334634) | Los Angeles Dodgers |

[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 ?party ?partyLabel WHERE {
  wd:Q91 wdt:P102 ?party .
  OPTIONAL {
    ?party rdfs:label ?partyLabel FILTER ( LANG( ?partyLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?party                           | ?partyLabel          |
| -------------------------------- | -------------------- |
| Republican Party (wd:Q29468)     | Republican Party     |
| Whig Party (wd:Q42183)           | Whig Party           |
| National Union Party (wd:Q80719) | National Union Party |

Abraham Lincoln was part of the Republican Party, the Whig Party, and the National Union Party.

[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 party was abe lincoln part of?

[Assistant] Step 1: Identify the entity "Abe Lincoln" in the knowledge graph. The full name is Abraham Lincoln, so I will search for the entity "Abraham Lincoln" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Abraham Lincoln, also known as President Lincoln, Uncle Abe, Honest Abe, Abe Lincoln (wd:Q91): president of the United States from 1861 to 1865, military officer, statesperson, postmaster, politician, farmer, writer, lawyer
2. USS Abraham Lincoln, also known as CVN-72, Abraham Lincoln, USS Abraham Lincoln CVN-72 (wd:Q587557): 1988 Nimitz-class aircraft carrier
3. Abraham Lincoln (wd:Q166089): 1930 film by D. W. Griffith
4. Statue of Abraham Lincoln, also known as Abraham Lincoln (wd:Q4669005): statue at the Lincoln Memorial, Washington, D.C.
5. Abraham Lincoln, also known as Captain Abraham Lincoln (wd:Q2821841): grandfather of president Abraham Lincoln (1744-1786), military personnel
6. Abraham Lincoln, also known as Abraham Lincoln Statue, Statue of Abraham Lincoln (wd:Q16001435): artwork by Lot Flannery
7. Abraham Lincoln (wd:Q10322725): 1869 painting by George P.A. Healy
8. The Dramatic Life of Abraham Lincoln, also known as Abraham Lincoln, Dramatic Life of Abraham Lincoln (wd:Q7730887): 1924 film by Phil Rosen
9. Abraham Lincoln (wd:Q4668998): 1924 film by J. Searle Dawley
10. Statue of Abraham Lincoln, also known as Abraham Lincoln, Statue of Abraham Lincoln (Lincoln, Nebraska), The Gettysburg Lincoln (wd:Q4669002): statue in Lincoln, Nebraska by Daniel Chester French

[Assistant] The entity for Abraham Lincoln is wd:Q91. Next, I will find the property that indicates the political party of an entity. I will search for properties related to "political party" or "party" to find the relevant property.

[Tool]
Top 10 property alternatives:
1. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): the political party of which a person is or has been a member or otherwise affiliated, member of
2. political alignment, also known as political position, alignment (wd:P1387 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): political position within the left–right political spectrum
3. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): agreement for cooperation between different political parties, member of
4. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): subject currently or formerly holds the object position or public office
5. parliamentary group, also known as faction, party organization, party (wd:P4100 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): parliamentary group to which a member of a parliament belongs, member of
6. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): political ideology of an organization or person or of a work (such as a newspaper)
7. candidate, also known as candidate in this election, has election candidate, electoral candidate, election has candidate (wd:P726 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person or party that is an option for an office in this election, participant
8. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person(s) or political organization(s) elected after the election, candidate, winner
9. candidacy in election, also known as ran in election, running in election, election candidacy, candidate in election, candidate in (wd:P3602 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): election where the subject is a candidate, participant in
10. participant, also known as suspect, player, party, participants, has participant (wd:P710 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person

[Assistant] The property "member of political party" (wdt:P102) is the relevant property to find the political party of Abraham Lincoln. Now I will query the political party of Abraham Lincoln (wd:Q91) using this property.

[Tool]
Got 3 rows and 2 columns:
| ?party                           | ?partyLabel          |
| -------------------------------- | -------------------- |
| Republican Party (wd:Q29468)     | Republican Party     |
| Whig Party (wd:Q42183)           | Whig Party           |
| National Union Party (wd:Q80719) | National Union Party |

[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 ?productOrService ?productOrServiceLabel WHERE {
  wd:Q95 wdt:P1056 ?productOrService .
  OPTIONAL {
    ?productOrService rdfs:label ?productOrServiceLabel FILTER ( LANG( ?productOrServiceLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| ?productOrService              | ?productOrServiceLabel |
| ------------------------------ | ---------------------- |
| Software tools (wd:Q111897729) | Software tools         |
| Google Maps (wd:Q12013)        | Google Maps            |
| Google Pay (wd:Q19834616)      | Google Pay             |
| Google Ads (wd:Q271982)        | Google Ads             |
| search engine (wd:Q4182287)    | search engine          |
| Google Voice (wd:Q51712)       | Google Voice           |
| Gmail (wd:Q9334)               | Gmail                  |
| Google Search (wd:Q9366)       | Google Search          |

Google offers various products and services to customers including Software tools, Google Maps, Google Pay, Google Ads, search engine, Google Voice, Gmail, and Google Search.

[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 products and\/or services does google offer customers?

[Assistant] To answer the question about what products and/or services Google offers to customers, I will first identify the entity for Google in Wikidata. Then, I will look for properties related to products and services offered by Google. These properties might include "product or material produced" or "offers" or similar. After identifying the relevant properties, I will construct a SPARQL query to retrieve the products and services offered by Google.

[Tool]
Top 10 entity alternatives:
1. Google, also known as google.com, Google LLC, Google, Inc., Google Inc., Big G (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.
2. Google, also known as Big G, google.com, Google Inc., Google LLC, Google, Inc. (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.
3. Google Search, also known as BackRub, goo.gle, Google, google.com, Google homepage (wd:Q9366): search engine by Google LLC
4. Alphabet Inc., also known as Alphabet, Alphabet company, Alphabet Inc, Alphabet, Inc, Alphabet, Inc. (wd:Q20800404): American multinational technology conglomerate
5. Google+, also known as G+, Google Plus (wd:Q356): social networking service
6. .google, also known as dot google (wd:Q20573262): top-level Internet domain
7. google, also known as to google, googling (wd:Q1156923): transitive verb, meaning to search for something using the Google search engine
8. Google Google (wd:Q123412777): Tamil song from Thuppakki movie
9. Archaeology & Language, also known as Google (wd:Q23301814): 1998 Pimlico edition
10. Google Canada, also known as Google, Google Kitchener-Waterloo, Google Waterloo (wd:Q30338099)

[Assistant] The entity for Google as an American multinational technology company is wd:Q95. Next, I will search for properties related to products and services offered by Google (wd:Q95). I will look for properties that might indicate products or services.

[Tool]
Top 10 property alternatives:
1. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
2. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as p/wdt): official URL where the agent sells products/merchandise, official website
3. 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
4. official app, also known as app, mobile app, official application, official mobile application (wd:P4290 as wdt/p): official app for this organization or other entity (a downloadable application for Android, iOS, etc.)
5. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as wdt/p): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
10. 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)

No other items found

[Assistant] The property "product, material, or service produced or provided" (wdt:P1056) seems to be the most relevant to find products and services offered by Google. I will now construct a SPARQL query to retrieve the products and services (objects of property P1056) offered by Google (wd:Q95). I will also include labels for better readability.

[Tool]
Got 8 rows and 2 columns:
| ?productOrService              | ?productOrServiceLabel |
| ------------------------------ | ---------------------- |
| Software tools (wd:Q111897729) | Software tools         |
| Google Maps (wd:Q12013)        | Google Maps            |
| Google Pay (wd:Q19834616)      | Google Pay             |
| Google Ads (wd:Q271982)        | Google Ads             |
| search engine (wd:Q4182287)    | search engine          |
| Google Voice (wd:Q51712)       | Google Voice           |
| Gmail (wd:Q9334)               | Gmail                  |
| Google Search (wd:Q9366)       | Google Search          |

[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:Q1374361 wdt:P54 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| ?team                                  | ?teamLabel               |
| -------------------------------------- | ------------------------ |
| New York Giants (wd:Q190618)           | New York Giants          |
| Texas Longhorns football (wd:Q7707821) | Texas Longhorns football |

Tom Landry played for the New York Giants and the Texas Longhorns football team.

[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 did tom landry play for?

[Assistant]
To answer the question "Who did Tom Landry play for?", I need to identify the entity for "Tom Landry" in Wikidata and then find the property that relates to the teams or clubs he played for.

Step 1: Search for the entity "Tom Landry" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Tom Landry, also known as Thomas Wade Landry (wd:Q1374361): American football coach and player (1924–2000), American football player, American football coach, aircraft pilot
2. Tom Landry (wd:Q108629583): statue in Arlington, United States of America - Robert Summers - 2001
3. Landry Tomb (wd:Q4856268): historic place
4. Tom Landry Strategy Football (wd:Q108536207)
5. Landry, Tom (1924-2000), football coach (wd:Q103866595): encyclopedia article
6. 75th US Colored Infantry: Landry, Tom (wd:Q107830161): file unit in the National Archives and Records Administration's holdings (NAID 170728667)
7. 84th US Colored Infantry: Landry, Tom (wd:Q107699626): file unit in the National Archives and Records Administration's holdings (NAID 107157520)
8. A personal tribute to Tom Landry (wd:Q93705732)
9. Art Garfunkel, also known as Arthur Ira Garfunkel, Arthur Ira "Art" Garfunkel, Tom, Arthur Garfunkel (wd:Q4039): American singer (born 1941), singer-songwriter, television actor, street artist, songwriter, teacher, singer, actor, poet
10. Tom, also known as Tom River (wd:Q216188): river in Khakassia, Kemerovo Oblast, and Tomsk Oblast, Russia

[Assistant]
The relevant entity for Tom Landry, the American football coach and player, is wd:Q1374361.

Step 2: Now I will search for properties related to "play for" or "team" for this entity to find the teams he played for.

[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 p/wdt): sports teams or clubs that the subject represents or represented, member of
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): 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. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/p): position or specialism of a player on a team
5. Pro Football Reference player ID, also known as PFR player ID, Pro-Football-Reference.com player ID, Pro-Football-Reference.com player identifier, Pro Football Reference player identifier (wd:P3561 as wdt/p): identifier for American football players at Pro-Football-Reference.com
6. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as wdt/p): country a person or a team represents when playing a sport, country
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. coach of sports team, also known as trainer of sports team, club manager of sports team, trainer of, team manager of sports team, team manager of (wd:P6087 as wdt/p): sports club or team for which this person is or was on-field manager or coach
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. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
The property "member of sports team" (wdt:P54) is used to indicate the sports teams or clubs that the subject represents or represented, which matches the concept of "play for."

Step 3: I will now query the teams that Tom Landry (wd:Q1374361) played for using the property wdt:P54.

[Tool]
Got 2 rows and 2 columns:
| ?team                                  | ?teamLabel               |
| -------------------------------------- | ------------------------ |
| New York Giants (wd:Q190618)           | New York Giants          |
| Texas Longhorns football (wd:Q7707821) | Texas Longhorns football |

[Tool] Stopped generation process