PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?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 will first search for the entity "Anne Frank" in Wikidata to get her identifier. Then I will look for properties related to education or schools associated with her.

[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. Now I will search for properties related to education or schools associated with Anne Frank (wd:Q4583). I will look for properties that might indicate where she went to school.

[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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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) is the relevant property for the school or educational institution attended by Anne Frank. I will now query the educational institution(s) where Anne Frank was educated using this property.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the school where Anne Frank went to school using the property 'educated at' (wdt:P69). The result includes the identifier and the English label of the school, which is '6th Montessori School Anne Frank'. The answer is accurate and complete based on the data from Wikidata. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinate ?country ?countryLabel WHERE {
  wd:Q182139 wdt:P625 ?coordinate .
  OPTIONAL {
    wd:Q182139 wdt:P17 ?country .
    ?country rdfs:label ?countryLabel
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
LIMIT 1

The Isthmus of Panama (wd:Q182139) is located in Panama (wd:Q804). Its coordinates are approximately longitude -79.0 and latitude 9.0, which places it on the map in the country of Panama.

[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]
To answer the question "Where is the Isthmus of Panama located on the map?" I need to find the entity for "Isthmus of Panama" in Wikidata and then retrieve its location information, which could be coordinates or the country/region it is part of.

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 location information for this entity, such as coordinates or the country it is located in.

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

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

[Tool]
Got 1 row and 3 columns:
| coordinate                                  | country          | countryLabel |
| ------------------------------------------- | ---------------- | ------------ |
| POINT(-79.000000 9.000000) (geo:wktLiteral) | Panama (wd:Q804) | Panama (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the coordinates and the country of the Isthmus of Panama. The answer clearly states the location on the map with appropriate longitude and latitude values and identifies the country as Panama. The query follows the rules by returning the actual identifiers and labels in an optional clause. The output is accurate and complete for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?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 (en)         |
| federation (wd:Q43702)                       | federation (en)                     |
| federal parliamentary republic (wd:Q5440547) | federal parliamentary republic (en) |
| republic (wd:Q7270)                          | republic (en)                       |

Germany currently has a government that is described as a parliamentary republic, federation, federal parliamentary republic, and republic according to Wikidata.

[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 related to the type of government or political system it has. 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 in Central Europe is wd:Q183. Next, I will search for properties related to the type of government or political system for this entity. I will search for properties of Germany (wd:Q183) with the query "government" to find the relevant property.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 or political system of Germany. I will now construct a SPARQL query to get the value of this property for Germany (wd:Q183).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of government associated with Germany (wd:Q183) using the property P122 (basic form of government). The query returns multiple relevant government types including parliamentary republic, federation, federal parliamentary republic, and republic, which matches the user's question about the current type of government in Germany. The query also includes labels in English for better readability. The answer is complete and accurate based on the data from Wikidata. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?state ?stateLabel WHERE {
  {
    wd:Q1265 wdt:P131 ?state .
  } UNION {
    wd:Q1265 wdt:P974 ?tributary .
    ?tributary wdt:P131 ?state .
  }
  ?state wdt:P31 wd:Q35657 .
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( LANG( ?stateLabel ) = "en" )
  }
}

Got 7 rows and 2 columns:
| state                 | stateLabel      |
| --------------------- | --------------- |
| Wyoming (wd:Q1214)    | Wyoming (en)    |
| Nevada (wd:Q1227)     | Nevada (en)     |
| Colorado (wd:Q1261)   | Colorado (en)   |
| New Mexico (wd:Q1522) | New Mexico (en) |
| Arizona (wd:Q816)     | Arizona (en)    |
| Utah (wd:Q829)        | Utah (en)       |
| California (wd:Q99)   | California (en) |

The Colorado River runs through the U.S. states of Wyoming, Nevada, Colorado, New Mexico, Arizona, Utah, and California. This includes states where the river itself and its tributaries are located.

[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 need to identify the entity for the Colorado River and the property that relates a river to the states it runs through.

Step 1: Search for the entity "Colorado River" in Wikidata.
Step 2: Identify the property that links a river to the states it runs through.
Step 3: Query the states through which the Colorado River runs.

I will start by searching for the entity "Colorado River" in Wikidata.

[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. This is the most relevant entity for the question about the states the Colorado River runs through.

Next, I need to find the property that links a river to the states it runs through. This could be a property like "located in the administrative territorial entity" or "passes through."

I will search for properties related to the Colorado River (wd:Q1265) that might indicate the states it runs through. I will search for properties with the query "state" or "located in" for this entity.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. 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
6. 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
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature

No other items found

[Assistant]
The property "located in the administrative territorial entity" (wdt:P131) is the most suitable property to find the states through which the Colorado River runs. This property indicates the administrative territorial entities that the item is located in or passes through.

I will now write a SPARQL query to find the states (administrative territorial entities of the type "state of the United States") that the Colorado River (wd:Q1265) runs through using the property wdt:P131. I will also include labels for better readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the states through which the Colorado River runs, returning Nevada, Colorado, Arizona, Utah, and California. However, the query uses the property 'located in the administrative territorial entity' (wdt:P131) directly on the river (wd:Q1265), which may not always capture all states the river runs through, as the river might not be directly linked to all states via this property. A more precise approach would be to query for states that the river passes through by considering the river's path or tributaries, or by using a property that explicitly relates the river to the states it flows through. Nonetheless, given the data available, the current query provides a reasonable answer. Also, the query includes labels in an optional clause, which is good practice. Overall, the answer is correct but the query could be refined for completeness and accuracy.

[Assistant]
Thank you for the feedback. To refine the query for completeness and accuracy, I will explore if there is a property that explicitly relates the Colorado River to the states it flows through, such as "passes through" or "flows through." If such a property exists, it would be more precise to use it.

I will search for properties related to the Colorado River (wd:Q1265) with the query "flow" or "pass" to find a more accurate property for the river's path through states.

[Tool]
Top 10 property alternatives:
1. mouth of the watercourse, also known as flows into, watercourse outflow, watercourse ends in, watercourse drain, tributary of (wd:P403 as p/wdt): the body of water to which the watercourse drains
2. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as p/wdt): watercourse that flows into an other one (for lake inflows use P200)
3. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as p/wdt): main source of a river, stream or lake
4. discharge (wd:P2225 as p/wdt): volume rate of water flow which is transported through a given cross-sectional area
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. drainage basin, also known as watershed, water basin, river basin district, river basin, catchment area (wd:P4614 as p/wdt): area where precipitation collects and drains off into a common outlet, such as into a river, bay, or other body of water, located in/on physical feature
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. 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
10. 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

No other items found

[Assistant]
There is no specific property explicitly indicating the states the Colorado River flows through other than the general "located in the administrative territorial entity" (wdt:P131). Given this, the previous approach using wdt:P131 is the best available method to find the states the river runs through.

To improve the query, I could also check if the river has tributaries or parts that are located in different states and aggregate those states as well. This might help capture states related to the river's tributaries.

I will now write a refined SPARQL query that retrieves states where the Colorado River or its tributaries are located, using wdt:P131 for both the river and its tributaries. I will also ensure the states are instances of U.S. states.

[Tool]
Got 7 rows and 2 columns:
| state                 | stateLabel      |
| --------------------- | --------------- |
| Wyoming (wd:Q1214)    | Wyoming (en)    |
| Nevada (wd:Q1227)     | Nevada (en)     |
| Colorado (wd:Q1261)   | Colorado (en)   |
| New Mexico (wd:Q1522) | New Mexico (en) |
| Arizona (wd:Q816)     | Arizona (en)    |
| Utah (wd:Q829)        | Utah (en)       |
| California (wd:Q99)   | California (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the U.S. states through which the Colorado River and its tributaries run. It uses the appropriate properties (P131 for location and P974 for tributaries) and filters for entities that are instances of U.S. states (Q35657). The query returns all relevant states, and the answer matches the query results. The inclusion of labels is done properly with an optional clause. Overall, the answer is accurate and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?character ?characterLabel WHERE {
  ?character wdt:P725 wd:Q37628 .
  ?character wdt:P1441 wd:Q5930 .
  OPTIONAL {
    ?character rdfs:label ?characterLabel FILTER ( LANG( ?characterLabel ) = "en" )
  }
}

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

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]
The question is asking for the character that Mila Kunis voices or plays on the TV show "Family Guy."

Step 1: Identify the entity "Mila Kunis" in Wikidata.
Step 2: Identify the entity "Family Guy" in Wikidata.
Step 3: Find the character(s) that Mila Kunis plays or voices in "Family Guy."

I will start by searching for the entity "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 in Wikidata: wd:Q37628. Next, I will search for the entity "Family Guy" in Wikidata.

[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 in Wikidata: wd:Q5930. Now I will find the character(s) that Mila Kunis (wd:Q37628) plays or voices in Family Guy (wd:Q5930). I will search for the characters voiced by Mila Kunis.

[Tool] Got no rows and 3 columns

[Assistant] No results found for the property "wdt:P453" (character role) for Mila Kunis. I will try to find the property that links an actor to a character they voice or play. I will search for properties related to "voice" or "character" for Mila Kunis.

[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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. 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 p/wdt): 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 property "Behind The Voice Actors person ID" (wdt:P5007) is related to voice acting but does not directly link to characters. I will try searching for properties related to "character" or "role" for Mila Kunis.

[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 p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. 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)
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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): work where this item is described, attested in

No other items found

[Assistant] No direct property linking Mila Kunis to the character she plays was found. I will try a different approach: I will search for the characters in Family Guy and see if any of them are linked to Mila Kunis as the voice actor. I will search for characters in Family Guy.

[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 their voice actors. I will search for characters that are part of Family Guy and see if Mila Kunis is linked as a voice actor.

[Tool] Got no rows and 4 columns

[Assistant] No results found with the query I used. I will try a different approach: I will search for characters that are part of Family Guy (wd:Q5930) and see if they have a voice actor property. Then I will check if Mila Kunis is among those voice actors.

[Tool] Got no rows and 4 columns

[Assistant] No results found with the previous query. I will try a simpler approach: I will search for characters that are part of Family Guy and have a voice actor property. Then I will check the voice actors for those characters to see if Mila Kunis is among them.

[Tool] Got no rows and 4 columns

[Assistant] No results found with the previous query. I will try to find the character Mila Kunis voices by searching for the property "voice actor" (wdt:P725) with Mila Kunis as the object. This might give the characters she voices.

[Tool]
Got 377 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property               | object                 |
| --------------------------------------------- | ---------------------- | ---------------------- |
| Family Guy (wd:Q5930)                         | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Wonder Park (wd:Q28869533)                    | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Robot Chicken (wd:Q8822)                      | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Saints Row (wd:Q2020055)                      | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Meg Griffin (wd:Q908772)                      | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Stewie Griffin: The Untold Story (wd:Q684288) | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Da Boom (wd:Q470203)                          | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Road to Rhode Island (wd:Q636213)             | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| Brian in Love (wd:Q840614)                    | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| The Thin White Line (wd:Q843224)              | voice actor (wdt:P725) | Mila Kunis (wd:Q37628) |
| ...                                           | ...                    | ...                    |

[Assistant] I found that Mila Kunis (wd:Q37628) is the voice actor for the character Meg Griffin (wd:Q908772) in Family Guy (wd:Q5930). I will now prepare the final SPARQL query to confirm this and return the character's name.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query returned no results, which indicates an issue with the query. The query attempts to find characters voiced by Mila Kunis (wd:Q37628) in Family Guy (wd:Q5930) who are instances of fictional characters (wd:Q95074). However, the property wdt:P1441 (part of) might not be the best choice to link the character to Family Guy. Instead, the property wdt:P175 (performer) or wdt:P161 (cast member) might be more appropriate for linking characters to the show. Also, ensure that the property for voice actor (wdt:P725) is correctly used. I suggest revising the query to better capture the relationship between the character, the voice actor, and the show. For example, find characters that have Mila Kunis as voice actor and are part of Family Guy by using a property that directly links the character to the show, such as wdt:P1441 or wdt:P161, but verify which is correct in the data. Additionally, consider removing the instance of fictional character filter if it is causing issues. Please retry with these adjustments.

[Assistant] Thank you for the feedback. I will revise the query by removing the instance of fictional character filter and using the property wdt:P161 (cast member) to link the character to Family Guy. I will also keep the voice actor property wdt:P725 to link the character to Mila Kunis. I will try to find characters that have Mila Kunis as the voice actor and are cast members of Family Guy.

[Tool] Got no rows and 2 columns

[Assistant] No results found with the property wdt:P161 (cast member) linking Family Guy to the characters voiced by Mila Kunis. I will try the property wdt:P175 (performer) instead to link characters to Family Guy.

[Tool] Got no rows and 2 columns

[Assistant] No results found with the property wdt:P175 (performer) linking Family Guy to the characters voiced by Mila Kunis. I will try a different approach: I will find characters voiced by Mila Kunis and then check if they are linked to Family Guy using any property. I will first get characters voiced by Mila Kunis.

[Tool]
Got 10 rows and 2 columns:
| character                                         | characterLabel                         |
| ------------------------------------------------- | -------------------------------------- |
| Switch the Flip (wd:Q102820459)                   | Switch the Flip (en)                   |
| HTTPete (wd:Q102820874)                           | HTTPete (en)                           |
| The Unkindest Cut (wd:Q102821213)                 | The Unkindest Cut (en)                 |
| Are You There God? It's Me, Peter (wd:Q102821612) | Are You There God? It's Me, Peter (en) |
| Dead Dog Walking (wd:Q102822143)                  | Dead Dog Walking (en)                  |
| Pal Stewie (wd:Q102822569)                        | Pal Stewie (en)                        |
| Big Trouble in Little Quahog (wd:Q102834380)      | Big Trouble in Little Quahog (en)      |
| Regarding Carter (wd:Q102835013)                  | Regarding Carter (en)                  |
| Stand by Meg (wd:Q102835947)                      | Stand by Meg (en)                      |
| The Griffin Winter Games (wd:Q102836436)          | The Griffin Winter Games (en)          |

[Assistant] I found characters or episodes related to Mila Kunis as a voice actor, but these seem to be episode titles or specific appearances, not character names. I will try to find the character Meg Griffin directly and check if Mila Kunis is the voice actor for that character.

[Tool]
Got 2 rows and 2 columns:
| voiceActor                 | voiceActorLabel    |
| -------------------------- | ------------------ |
| Lacey Chabert (wd:Q232910) | Lacey Chabert (en) |
| Mila Kunis (wd:Q37628)     | Mila Kunis (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query does not correctly answer the question. It only retrieves the English label of the character Meg Griffin without linking Mila Kunis to the character. The query should start from the entity for Mila Kunis and find the character she plays in Family Guy. For example, it should find the character for which Mila Kunis is the voice actor or performer. The current query does not use the entity for Mila Kunis at all and thus does not answer the question. Please revise the query to find the character played by Mila Kunis on Family Guy.

[Assistant] Thank you for the feedback. I will revise the query to start from Mila Kunis (wd:Q37628) and find the character(s) she voices or plays in Family Guy (wd:Q5930). I will look for characters where Mila Kunis is the voice actor (wdt:P725) and that are linked to Family Guy by a property such as cast member (wdt:P161) or part of (wdt:P1441). I will try both properties to find the correct link.

[Tool] Got no rows and 2 columns

[Assistant] No results found using the property wdt:P161 (cast member) linking Family Guy to characters voiced by Mila Kunis. I will try the property wdt:P1441 (part of) instead.

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1203 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}

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

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 will first identify the entity for John Lennon in Wikidata. Then I will look for the property related to the place of death for this entity. Finally, I will construct a SPARQL query to retrieve the place where John Lennon died.

[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 search for the property related to the place of death for this entity.

[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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 construct a SPARQL query to get the place where John Lennon (wd:Q1203) died.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death for John Lennon using the property wdt:P20. The query returns the identifier and the English label of the place, which is New York City (wd:Q60). The answer provided is accurate and complete. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel 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 related to 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 related to the baseball team he was on. This is likely related to the sports team or baseball team he played for. I will search for properties of this entity related to "team" or "baseball team".

[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 p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
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 p/wdt): 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 p/wdt): 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 p/wdt): 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 most relevant to find the baseball team Jackie Robinson was on. I will now query the sports teams 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 (en) |

[Assistant] Jackie Robinson was on the baseball team Los Angeles Dodgers. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the baseball team that Jackie Robinson was a member of using the property 'member of sports team' (wdt:P54). The query returns the team's identifier and its English label, which is 'Los Angeles Dodgers'. The answer is accurate and complete based on the data from Wikidata. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?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 (en)     |
| Whig Party (wd:Q42183)           | Whig Party (en)           |
| National Union Party (wd:Q80719) | National Union Party (en) |

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 Wikidata. The full name is Abraham Lincoln, so I will search for "Abraham Lincoln" to find the correct entity.

[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 need to find the property that relates Abraham Lincoln to a political party. I will search for properties related to "party" or "political party" for this entity.

[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 p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
2. 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)
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
5. NLA Trove people ID, also known as Trove people ID, Trove person ID, Trove party ID, Trove organization ID, Trove organisation ID (wd:P1315 as p/wdt): identifier for people or organizations per National Library of A...he older Libraries Australia identifier). Format: 5 to 7 digits.
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
8. wears, also known as wore, wearing, uniform, outfit, garment (wd:P3828 as p/wdt): clothing or accessory worn on subject's body, item operated
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
10. 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

No other items found

[Assistant] The property "member of political party" (wdt:P102) is the relevant property to find the political party of Abraham Lincoln. Now I will write a SPARQL query to get 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 (en)     |
| Whig Party (wd:Q42183)           | Whig Party (en)           |
| National Union Party (wd:Q80719) | National Union Party (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all political parties that Abraham Lincoln was a member of, including the Republican Party, Whig Party, and National Union Party. The query returns the party identifiers and their English labels, which is appropriate and informative. The answer is complete and accurate based on the data from Wikidata. No further refinement is needed.