PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?governor WHERE {
  wd:Q812 wdt:P6 ?governor
}

The state governor of Florida is Ron DeSantis (wd:Q3105215).

[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 is the state governor of florida?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Florida".
2. We need to find the property that links a state to its governor (likely "head of government" or "governor").
3. We need to retrieve the current governor of Florida.

First, I'll search for the entity "Florida" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Florida, also known as Peninsular State, US-FL, The Sunshine State, FL, Fla. (wd:Q812): state of the United States of America
2. Florida, also known as US-FL, The Sunshine State, Fla., The Gator State, Sunshine State (wd:Q812): state of the United States of America
3. Florida, also known as Ciudad de la Florida (wd:Q842472): city in Florida Department, Uruguay
4. Florida (wd:Q13048): town in Chile
5. Spanish Florida, also known as Florida (wd:Q555528): former Spanish possession in North America  (1513–1763, 1783–1821)
6. Florida, also known as Florida, MA, Town of Florida, Florida, Massachusetts (wd:Q1112732): town in Massachusetts, United States
7. Florida (wd:Q643617): municipality and city in Cuba
8. Flórida, also known as Florida, Flórida, Paraná (wd:Q2077862): municipality of Brazil
9. Florida, also known as Florida Municipio, Florida PR, Florida, PR, Florida, Puerto Rico (wd:Q2271950): municipality in Puerto Rico
10. Florida, also known as Florida, Missouri, Florida, MO (wd:Q537803): village in Missouri, United States of America

[Assistant]
The correct entity for the U.S. state of Florida is wd:Q812.

Next, I need to find the property that links a U.S. state to its governor. I'll search for properties related to "governor".

[Tool]
Top 10 property alternatives:
1. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): official with the highest formal authority in a country/state, director / manager, chairperson
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. 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/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): political office that is fulfilled by the head of state of this item
4. 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/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the residence at which heads of government and other senior figures officially reside, residence
7. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): subject currently or formerly holds the object position or public office
8. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person(s) or political organization(s) elected after the election, candidate, winner
9. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
10. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): senior official in an educational institution., director / manager, chairperson

[Assistant]
The most relevant properties are likely "head of government" (wd:P6) or "position held" (wd:P39). For U.S. states, the governor is typically modeled as the "head of government".

I'll check if Florida (wd:Q812) has a "head of government" property and who currently holds it.

[Tool]
Got 1 row and 3 columns:
| subject           | property                    | object                     |
| ----------------- | --------------------------- | -------------------------- |
| Florida (wd:Q812) | head of government (wdt:P6) | Ron DeSantis (wd:Q3105215) |

[Tool]
Got 1 row and 2 columns:
| ?governor                  | ?governorLabel |
| -------------------------- | -------------- |
| Ron DeSantis (wd:Q3105215) | Ron DeSantis   |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?school WHERE {
  wd:Q127417 wdt:P69 ?school
}

Got 3 rows and 1 column:
| ?school                                                            |
| ------------------------------------------------------------------ |
| United States Army Command and General Staff College (wd:Q1115050) |
| Milwaukee High School of the Arts (wd:Q6861744)                    |
| United States Military Academy (wd:Q9219)                          |

Douglas MacArthur attended the following schools: United States Army Command and General Staff College (wd:Q1115050), Milwaukee High School of the Arts (wd:Q6861744), and United States Military Academy (wd:Q9219).

[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 school did douglas macarthur go to?

[Assistant]
Let's break down the question:

1. The entity is "Douglas MacArthur".
2. The property is "educated at" or similar (to find the school(s) he attended).

First, I will search for the entity "Douglas MacArthur" in Wikidata to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Douglas MacArthur, also known as MacArthur, D. MacArthur, General MacArthur, General Douglas MacArthur (wd:Q127417): United States Army general in WWI, WWII and Korea (1880–1964), military officer, army officer
2. Douglas MacArthur (wd:Q47512806): painting by Howard Chandler Christy
3. Douglas MacArthur (wd:Q47509083): painting by Rudolphe Kiss
4. Douglas Macarthur (wd:Q110179636)
5. Douglas Allan Hamilton MacArthur, also known as Douglas MacArthur (wd:Q76272190): Peerage person ID=653481
6. Douglas MacArthur II (wd:Q269483): American diplomat (1909-1997), diplomat
7. General Douglas MacArthur (wd:Q5531839): artwork by Robert Dean
8. Douglas MacArthur Park (wd:Q49483971): park in Bexar County, Texas, United States of America
9. Douglas MacArthur Park (wd:Q49483969): park in Los Angeles County, California, United States of America
10. Douglas Hastings Macarthur (wd:Q5301578): New Zealand politician, politician

[Assistant]
The most relevant entity for the general is "Douglas MacArthur" (wd:Q127417).

Next, I will search for the property related to "educated at" to find the schools he attended.

[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/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): educational institution attended by subject, affiliation
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization who grants an award, certification, grant, or role
3. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person who has taught this person, significant person
4. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): notable student(s) of the subject individual, significant person
5. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): subject is studied by this science or domain, field of work
6. gender educated (wd:P7419 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): genders educated at this educational institution
7. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): major someone studied at college/university
8. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
9. academic degree, also known as academic diploma, degree, diploma (wd:P512 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): academic degree that the person holds
10. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant]
The most relevant property is "educated at" (wd:P69).

Now, I will construct a SPARQL query to find the schools that Douglas MacArthur (wd:Q127417) attended using the property "educated at" (wd:P69). I will also try to retrieve the labels of the schools for clarity, but the main result will be the identifiers.

[Tool]
Got 3 rows and 2 columns:
| ?school                                                            | ?schoolLabel                                         |
| ------------------------------------------------------------------ | ---------------------------------------------------- |
| United States Army Command and General Staff College (wd:Q1115050) | United States Army Command and General Staff College |
| Milwaukee High School of the Arts (wd:Q6861744)                    | Milwaukee High School of the Arts                    |
| United States Military Academy (wd:Q9219)                          | United States Military Academy                       |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?character ?image WHERE {
  VALUES ?character {
    wd:Q3036775
  }
  OPTIONAL {
    ?character wdt:P18 ?image
  }
}

Janel Moloney (wd:Q114447) played Donna Moss (wd:Q3036775) on The West Wing (wd:Q3577037). This is supported by the image property of Donna Moss, which references Janel Moloney.

[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 played donna on west wing?

[Assistant]
Let's break down the question:

1. We need to identify the character "Donna" from the TV show "The West Wing".
2. Then, we need to find the actress who played this character.

First, I'll search for "The West Wing" in Wikidata to find its entity.

[Tool]
Top 10 entity alternatives:
1. The West Wing, also known as West Wing (wd:Q3577037): American political drama series created by Aaron Sorkin for NBC (1999–2006)
2. West Wing, also known as the West Wing, West Wing of the White House, White House West Wing (wd:Q1932621): west office section of the White House, Washington DC, USA
3. McGuffey Hall, also known as The West Wing (wd:Q123015331): building of Ohio University in Athens, Ohio, USA
4. The West Wing (wd:Q130511003): song by Akuma Kira
5. The West Wing (wd:Q130511005): instrumental track by Akuma Kira, Jarren Crist and Nolan Reese; 2015 studio recording
6. Pilot, also known as The West Wing pilot (wd:Q7194391): episode of The West Wing (S1 E1)
7. The West Wing Weekly (wd:Q28127811): American podcast
8. The West Wing Thing (wd:Q104867287): American podcast series
9. The West Wing, season 5 (wd:Q3730540): season of television series
10. The West Wing, season 4 (wd:Q3730539): season of television series

[Assistant]
The relevant entity for "The West Wing" TV show is wd:Q3577037.

Next, I need to identify the character "Donna" from this show. I'll search for characters named "Donna" associated with "The West Wing".

[Tool]
Top 10 entity alternatives:
1. The West Wing, also known as West Wing (wd:Q3577037): American political drama series created by Aaron Sorkin for NBC (1999–2006)
2. West Wing, also known as the West Wing, West Wing of the White House, White House West Wing (wd:Q1932621): west office section of the White House, Washington DC, USA
3. McGuffey Hall, also known as The West Wing (wd:Q123015331): building of Ohio University in Athens, Ohio, USA
4. The West Wing (wd:Q130511003): song by Akuma Kira
5. The West Wing (wd:Q130511005): instrumental track by Akuma Kira, Jarren Crist and Nolan Reese; 2015 studio recording
6. Pilot, also known as The West Wing pilot (wd:Q7194391): episode of The West Wing (S1 E1)
7. The West Wing Weekly (wd:Q28127811): American podcast
8. The West Wing Thing (wd:Q104867287): American podcast series
9. The West Wing, season 5 (wd:Q3730540): season of television series
10. The West Wing, season 4 (wd:Q3730539): season of television series

[Assistant] The search did not directly return a character named "Donna" from "The West Wing". The character's full name is likely "Donna Moss". I'll search for "Donna Moss" to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. Donna Moss, also known as Donnatella Moss (wd:Q3036775): character in The West Wing, political adviser, secretary
2. Donna Moss HGTV (wd:Q18388670): American television personality and designer
3. moss, also known as Bryophyta, true mosses, Musci, mosses (wd:Q25347): division of plants
4. Dønna Municipality, also known as Dönna (wd:Q489347): municipality in Nordland, Norway
5. Donna, also known as Donna, Texas, Donna, TX (wd:Q976983): city in Hidalgo County, Texas, United States
6. Don, also known as Dom, Donna, Doña (wd:Q1138610): honorific title used in Iberia, the Hispanic world, Lusophone countries and Italy
7. Tu-126, also known as Moss, Tu126, Tupolev Tu-126, Tupolev Tu-126 Moss (wd:Q958576): airborne early warning aircraft model by Tupolev
8. Donna Donna, also known as Dos Kelbl (wd:Q908819): Yiddish song
9. Donna (wd:Q1241725): lunar crater
10. Donna, also known as Donna (given name), Donna (first name) (wd:Q1993601): female given name

[Assistant]
The relevant entity for the character is Donna Moss (wd:Q3036775).

Now, I need to find out who played Donna Moss in "The West Wing". This requires finding the property that links a fictional character to the actor who portrayed them. I'll search for properties related to "portrayed by" or "played by".

[Tool]
Top 10 property alternatives:
1. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): object depicting this subject (object being creative works such as books, films, paintings)
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. used by, also known as armiger, user, played by, of (wd:P1535 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item or concept that makes use of the subject (use sub-properties when appropriate)
4. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
5. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
6. describes actor of (wd:P12027 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
7. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
8. character role, also known as role, plays, performer of, as, acting role (wd:P453 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
9. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): role that agents of this action take on in the context of this action
10. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)

[Assistant]
The most relevant property for connecting a fictional character to the actor who played them is "depicted by / portrayed by / played by" (wd:P1299).

Now, I'll check which entity is linked to Donna Moss (wd:Q3036775) via the property wd:P1299.

[Tool] Got no rows and 3 columns

[Assistant]
It appears there is no direct "depicted by / portrayed by / played by" (wd:P1299) property linking Donna Moss to an actor in Wikidata. Another common property for this relationship is "portrayed by" (wdt:P453), but this is typically used as a qualifier. Alternatively, the "cast member" (wd:P161) property on the show entity might link actors to their roles.

I'll check if Donna Moss is linked to an actor via another property. I'll list all properties for Donna Moss to see if any connect her to an actress.

[Tool]
Got 93 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                        | object                                                                                |
| ------------------------ | ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| Donna Moss (wd:Q3036775) | instance of (wdt:P31)                           | fictional human (wd:Q15632617)                                                                               |
| Donna Moss (wd:Q3036775) | occupation (wdt:P106)                           | secretary (wd:Q80687)                                                                                |
| Donna Moss (wd:Q3036775) | sex or gender (wdt:P21)                         | female (wd:Q6581072)                                                                                |
| Donna Moss (wd:Q3036775) | given name (wdt:P735)                           | Donna (wd:Q1993601)                                                                                |
| Donna Moss (wd:Q3036775) | image (wdt:P18)                                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Janel%20Moloney%20%2815087095697%29%20%28cropped%29.jpg> |
| Donna Moss (wd:Q3036775) | country of citizenship (wdt:P27)                | United States (wd:Q30)                                                                                |
| Donna Moss (wd:Q3036775) | family name (wdt:P734)                          | wd:Q16877457                                                                                |
| Donna Moss (wd:Q3036775) | place of birth (wdt:P19)                        | Warroad (wd:Q2186684)                                                                                |
| Donna Moss (wd:Q3036775) | educated at (wdt:P69)                           | University of Wisconsin–Madison (wd:Q838330)                                                                 |
| Donna Moss (wd:Q3036775) | languages spoken, written or signed (wdt:P1412) | English (wd:Q1860)                                                                                |
| ...                      | ...                                             | ...                                                                                |

[Assistant]
There is no direct "portrayed by" property on Donna Moss (wd:Q3036775). However, the image property links to a file named "Janel Moloney", which suggests that Janel Moloney played Donna Moss.

To confirm, I'll check if Janel Moloney is linked as the actress for Donna Moss using the "notable role" (wd:P10606) or similar properties on Janel Moloney's entity. First, I'll search for Janel Moloney in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Janel Moloney, also known as Janel Wallace Moloney (wd:Q114447): American actress (b. 1969), television actor, stage actor, film actor, actor
2. Moloney, also known as Moloney (surname) (wd:Q16877315): family name
3. Cornelius Alfred Moloney, also known as Moloney, Sir Cornelius Alfred Moloney (wd:Q1133716): British Colonial administrator (1848-1913), politician, botanist
4. Janel, also known as Janel (first name), Janel (given name) (wd:Q20898974): female given name
5. Moloney (wd:Q6896787): television series
6. Jänel, also known as Jänel (family name), Jänel (surname) (wd:Q83359452): family name
7. Janel, also known as Janel (surname), Janel (family name) (wd:Q106528623): family name
8. Janel Parrish, also known as Janel Meilani Parrish Long (wd:Q242418): American actress and singer, television actor, stage actor, film actor, pianist, singer, actor
9. Paddy Moloney, also known as Pádraig Ó Maoldomhnaigh, Patrick Moloney (wd:Q736864): Irish musician (1938–2021), record producer, musician
10. Ashley Moloney (wd:Q55455060): Australian decathlete, athletics competitor

[Assistant] Janel Moloney (wd:Q114447) is the likely actress who played Donna Moss. To confirm, I'll check if her Wikidata entry lists Donna Moss as a notable role or similar property.

[Tool]
Top 10 property alternatives:
1. 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)
2. 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
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. 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
5. 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)
6. 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)
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. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
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. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as p/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))

No other items found

[Tool]
Got 408 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                         | object                                                                                |
| -------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| Janel Moloney (wd:Q114447) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Janel Moloney (wd:Q114447) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                                |
| Janel Moloney (wd:Q114447) | sex or gender (wdt:P21)          | female (wd:Q6581072)                                                                                |
| Janel Moloney (wd:Q114447) | given name (wdt:P735)            | Janel (wd:Q20898974)                                                                                |
| Janel Moloney (wd:Q114447) | date of birth (wdt:P569)         | 1969-10-03T00:00:00Z                                                                                |
| Janel Moloney (wd:Q114447) | Commons category (wdt:P373)      | Janel Moloney                                                                                |
| Janel Moloney (wd:Q114447) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Janel%20Moloney%20%2815087095697%29%20%28cropped%29.jpg> |
| Janel Moloney (wd:Q114447) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                                |
| Janel Moloney (wd:Q114447) | family name (wdt:P734)           | Moloney (wd:Q16877315)                                                                                |
| Janel Moloney (wd:Q114447) | place of birth (wdt:P19)         | Woodland Hills (wd:Q1337818)                                                                                |
| ...                        | ...                              | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
Despite checking the most likely properties, there is no direct triple in Wikidata linking Janel Moloney to the role of Donna Moss or to "The West Wing" via the standard properties.

However, based on the image property of Donna Moss (wd:Q3036775) referencing Janel Moloney, and the general knowledge that Janel Moloney played Donna Moss on "The West Wing", the answer is:

Janel Moloney (wd:Q114447) played Donna Moss (wd:Q3036775) on "The West Wing" (wd:Q3577037).

Here is a SPARQL query that retrieves the image property from Donna Moss, which indirectly references Janel Moloney:

```sparql
SELECT ?character ?characterLabel ?image
WHERE {
  VALUES ?character { wd:Q3036775 }
  OPTIONAL { ?character rdfs:label ?characterLabel. FILTER (lang(?characterLabel) = "en") }
  OPTIONAL { ?character wdt:P18 ?image }
}
```

But since the user asked "who played Donna on West Wing", the best possible answer with Wikidata's current data is to show the image file name and explain the connection.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ?countryLabel WHERE {
  ?country wdt:P31 wd:Q6256 .
  ?country wdt:P37 wd:Q188 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| ?country                | ?countryLabel |
| ----------------------- | ------------- |
| Germany (wd:Q183)       | Germany       |
| Belgium (wd:Q31)        | Belgium       |
| Luxembourg (wd:Q32)     | Luxembourg    |
| Liechtenstein (wd:Q347) | Liechtenstein |
| Switzerland (wd:Q39)    | Switzerland   |

The countries that officially speak German are Germany, Belgium, Luxembourg, Liechtenstein, and Switzerland.

[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 countries speak german officially?

[Assistant]
Let's break down the question:

1. We need to find countries (entities of type "country").
2. These countries should have German as an official language.

First, I will search for the entity representing "German language" and the property for "official language". Then, I will identify the property for "country".

Let's start by searching for "German language" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. German, also known as de, German language (wd:Q188): West Germanic language spoken mainly in Central Europe
2. German Language (wd:Q110262520): Stack Exchange site for speakers of German wanting to discuss the finer points of the language and translation
3. German (language) (wd:L4969-S1)
4. German (language) (wd:L612756-S1)
5. German language (wd:L1029357-S1)
6. German language (wd:L1121420-S2)
7. German language (wd:L1363537-S1)
8. Germanic, also known as Germanic family, Germanic language, Germanic language family, Germanic language group, Germanic languages (wd:Q21200): branch of the Indo-European language family
9. German Wikipedia, also known as dewiki, Wikipedia (de), wikipedia.de, German-language Wikipedia, German language Wikipedia (wd:Q48183): German-language edition of Wikipedia
10. Pennsylvania German, also known as Pennsylvanisch Deitsch, Pennsylvanisch, Pennsylvanian language, Pennsylvania German-language, Pennsylvania German language (wd:Q22711): variety of West Central German

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

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): continent of which the subject is a part, located in/on physical feature
8. 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/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. country music, also known as country, country and western, country & western (wd:Q83440): genre of American popular music
3. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
4. Dennis Rodman, also known as Rodzilla, Psycho, The Worm, Worm, Country (wd:Q201608): American basketball player, professional wrestler, basketball player, amateur wrestler, basketball coach, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce
6. .country (wd:Q20571777): top-level domain
7. Country (wd:Q5177190): music album by Anne Murray
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016
10. country (wd:Q22828881)

[Tool]
Got 5 rows and 1 column:
| ?country                |
| ----------------------- |
| Germany (wd:Q183)       |
| Belgium (wd:Q31)        |
| Luxembourg (wd:Q32)     |
| Liechtenstein (wd:Q347) |
| Switzerland (wd:Q39)    |

[Tool]
Got 5 rows and 2 columns:
| ?country                | ?countryLabel |
| ----------------------- | ------------- |
| Germany (wd:Q183)       | Germany       |
| Belgium (wd:Q31)        | Belgium       |
| Luxembourg (wd:Q32)     | Luxembourg    |
| Liechtenstein (wd:Q347) | Liechtenstein |
| Switzerland (wd:Q39)    | Switzerland   |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?dob ( YEAR( ?dob ) AS ?yearOfBirth ) WHERE {
  wd:Q352 wdt:P569 ?dob
}

Adolf Hitler was born in the year 1889.

[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 year was hitler was born?

[Assistant]
Let's break down the question:

1. The question asks for the year Adolf Hitler was born.
2. We need to identify the entity for Adolf Hitler and the property for date of birth.
3. Then, we will construct a SPARQL query to retrieve the year of birth.

First, let's search for the entity "Adolf Hitler" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Adolf Hitler, also known as Bohemian Corporal (wd:Q352): dictator of Germany from 1933 to 1945, politician
2. Adolph, also known as Adolf Hitler (wd:Q12626556): computer virus
3. Adolf Hitler, also known as TMNT Adventures Adolf Hitler (wd:Q100345867): Adolf Hitler as depicted in the Teenage Mutant Ninja Turtles Adventures comics
4. Adolf Hitler, also known as Family Guy Adolf Hitler (wd:Q120332530): Adolf Hitler as depicted in animated television series Family Guy, politician
5. Adolf Hitler (wd:Q78526535): edition; published in 1997
6. Adolf Hitler (wd:Q47510643): painting by Jerry Farnsworth
7. Adolf Hitler (wd:Q20463000): painting by Andrea Badami
8. Adolf Hitler (wd:Q112253120): painting by 1935 H. Knirr
9. Adolf Hitler (wd:Q112243291): painting by F. Heß
10. Adolf Hitler (wd:Q112235833): painting by R.G. Zill

[Assistant]
The correct entity for Adolf Hitler, the dictator of Germany from 1933 to 1945, is wd:Q352.

Next, I need to find the property for "date of birth" to retrieve his birth year. I'll search for the property "date of birth."

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): alias used by someone (for nickname use P1449), name

[Assistant]
The property for "date of birth" is wd:P569.

Now, I will construct a SPARQL query to get the year Adolf Hitler was born by extracting the year part from his date of birth property.

[Tool]
Got 1 row and 2 columns:
| ?dob                 | ?yearOfBirth |
| -------------------- | ------------ |
| 1889-04-20T00:00:00Z | 1889         |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?song WHERE {
  ?song wdt:P31 wd:Q7366 .
  {
    ?song wdt:P86 wd:Q34086 .
  } UNION {
    ?song wdt:P676 wd:Q34086 .
  }
}

The songs that Justin Bieber wrote (as composer or lyricist) according to Wikidata are: Heartbreaker, Boyfriend, Friends, 10,000 Hours, #thatPOWER, and Get Me.

[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 are all the songs justin bieber wrote?

[Assistant]
Let's break down the question:

1. The user wants all songs that Justin Bieber wrote.
2. We need to identify the entity for "Justin Bieber" and the property for "wrote" (likely "songwriter" or "author" of a song).
3. We'll need to find all songs where Justin Bieber is listed as a songwriter.

First, I'll search for the entity "Justin Bieber" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Justin Bieber, also known as Justin Drew Bieber (wd:Q34086): Canadian singer (born 1994), musician
2. Lili Elbe, also known as Einar Mogens Andreas Wegener, Einar Wegener, Justin Bieber, Lili Ilse Elvenes (wd:Q1140735): Danish painter and transgender woman (1882–1931), painter
3. Justin Bieber (wd:Q127000216): Is It A Good Idea To Microwave This? experiment 296
4. Justin Bieber, also known as Saturday Night Live S38E13, Saturday Night Live, season 38 episode 13 (wd:Q110037270): episode of Saturday Night Live (S38 E13)
5. Justin Bieber: Seasons (wd:Q84078716): docu-series
6. Kristian Marolt, also known as Croatian Justin Bieber (wd:Q49272382): Croatian singer-songwriter, singer-songwriter
7. Promo: Justin Bieber (wd:Q110056122): sketch from Saturday Night Live
8. Justin Bieber's Believe (wd:Q15285106): 2013 American biographical concert film directed by Jon M. Chu
9. Asim Azhar, also known as Justin Bieber of Pakistan, The Justin Bieber of Pakistan (wd:Q66771659): Pakistani singer-songwriter, singer-songwriter
10. Justin Bieber: Our World (wd:Q108704270): 2021 film directed by Michael D. Ratner

[Assistant]
The correct entity for Justin Bieber the singer is wd:Q34086.

Next, I need to find the property that links a songwriter to a song. I'll search for properties related to "songwriter" or "wrote" in Wikidata.

[Tool]
Top 10 property alternatives:
1. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): author of song lyrics, author
2. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
4. Spotify songwriter ID (wd:P8347 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a songwriter credited on Spotify
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person(s) who wrote the script for subject item, film crew member, author
7. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): organization or person that developed the item, creator
9. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): notable scientific, artistic or literary work, or other work of significance among subject's works
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): time when an entity begins to exist; for date of official opening use P1619, start time

[Assistant]
The most relevant properties for "wrote a song" are:
- composer (wd:P86): person(s) who wrote the music, also called songwriter
- lyricist (wd:P676): author of song lyrics

Since "songwriter" can refer to both composer and lyricist, and Justin Bieber may have contributed in either capacity, I will use both properties to find all songs he wrote.

Next, I need to find all items that are songs (instance of "song") where Justin Bieber (wd:Q34086) is either the composer (wdt:P86) or lyricist (wdt:P676).

I'll construct a SPARQL query to retrieve all such songs, including their IRIs and optionally their labels.

[Tool]
Got 6 rows and 2 columns:
| ?song                       | ?songLabel   |
| --------------------------- | ------------ |
| Heartbreaker (wd:Q15066943) | Heartbreaker |
| Boyfriend (wd:Q2001066)     | Boyfriend    |
| Friends (wd:Q37210766)      | Friends      |
| 10,000 Hours (wd:Q69638465) | 10,000 Hours |
| #thatPOWER (wd:Q7711127)    | #thatPOWER   |
| Get Me (wd:Q83975347)       | Get Me       |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?residence ?residenceLabel WHERE {
  VALUES ?property {
    wdt:P551 wdt:P263
  }
  wd:Q34479 ?property ?residence .
  OPTIONAL {
    ?residence rdfs:label ?residenceLabel FILTER ( LANG( ?residenceLabel ) = "en" )
  }
}

Wikidata does not have a direct statement for where Emperor Hirohito lived. No residence or official residence is listed for him. However, historically, the Tokyo Imperial Palace was the main residence of the Emperor of Japan during Hirohito's reign.

[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 emperor hirohito live?

[Assistant]
Let's break down the question:

1. The main entity is "Emperor Hirohito".
2. The property we're interested in is "residence" or "place lived".

First, I will search for the entity "Emperor Hirohito" in Wikidata to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Hirohito, also known as Prince Michi, Emperor Shōwa, Showa, Shōwa, Emperor Hirohito (wd:Q34479): Emperor of Japan from 1926 to 1989, military personnel, marine biologist, aristocrat, zoologist, diplomat, monarch
2. Annals of Emperor Showa, also known as Annals of Emperor Shōwa, Annals of Emperor Hirohito (wd:Q86339815)
3. Portrait of Emperor Hirohito (wd:Q120122666): photograph by Vincenzo Laviosa
4. Emperor Hirohito and Empress Nagako (wd:Q63195683)
5. 250 Shillings (Emperor Hirohito) [Num29821] (wd:Q132003665): Non-circulating coins - Milled - Somalia
6. 25 Shillings (Emperor Hirohito) [Num84930] (wd:Q132003361): Non-circulating coins - Milled - Somalia
7. emperor, also known as empress, imperator (wd:Q39018): type of monarch
8. monarch, also known as emperor, empress regnant, king, queen regnant (wd:Q116): person at the head of a monarchy
9. Emperor dragonfly, also known as Anax imperator, Blue Emperor, Emperor, Emperor Dragonfly (wd:Q527496): species of insect
10. Emperor of China, also known as Huang-ti, Huang Ti, Son of Heaven, thearch, Ti (wd:Q268218): sovereign of Imperial China

[Assistant]
The correct entity for Emperor Hirohito is wd:Q34479.

Next, I need to find the property in Wikidata that relates to "residence" or "place lived". I will search for properties related to "residence".

[Tool]
Top 10 property alternatives:
1. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the place where the person is or has been, resident, location
2. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization occupying property, used by
3. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): location where persons or organisations were actively participating in employment, business or other work, significant place, location
4. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): seat of government of a country, province, state or other type of administrative territorial entity
5. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the residence at which heads of government and other senior figures officially reside, residence
6. number of households, also known as dwellings, households (wd:P1538 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): total number of households in this place, includes dwellings of all types
7. number of housing units, also known as dwelling-places, housing units, number of dwelling-places (wd:P10814 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
8. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
9. property, also known as allowed qualifier (wd:P2306 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): qualifier to define a property constraint in combination with P2...traint), or to limit the scope of Q44292881 (wikidata statement)
10. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): main Wikidata property for this item

[Assistant]
The most relevant properties are:
- residence (wd:P551): the place where the person is or has been resident
- official residence (wd:P263): the residence at which heads of government and other senior figures officially reside

To be thorough, I will check both properties for Emperor Hirohito. First, I will list the values for "residence" (wd:P551) for Emperor Hirohito (wd:Q34479).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct values for the "residence" (wd:P551) property for Emperor Hirohito in Wikidata.

Next, I will check the "official residence" (wd:P263) property for Emperor Hirohito.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct values for the "official residence" (wd:P263) property for Emperor Hirohito in Wikidata either.

Since neither "residence" nor "official residence" are directly specified, I will try a broader approach by checking all properties of Emperor Hirohito that might relate to places, such as "place lived", "palace", or similar. I will search for properties related to "palace" for Emperor Hirohito.

[Tool]
Top 10 property alternatives:
1. 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
2. noble title, also known as hereditary title, nobility title, peerage, royal and noble ranks, royal title (wd:P97 as p/wdt): titles held by the person
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
4. 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
5. 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
6. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
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. 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. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as p/wdt): picture of a person or animal's grave, gravestone or tomb, image
10. honorific prefix, also known as called, style prefix, referred to as, pre-nominal, honorific title (wd:P511 as p/wdt): word or expression used before a name, in addressing or referring to a person

No other items found

[Assistant]
There are no properties directly related to "palace" for Emperor Hirohito in Wikidata.

Since direct properties are not yielding results, I will try a different approach: searching for notable palaces or residences in Japan that are associated with emperors, and see if any are linked to Hirohito. The most famous residence is the "Tokyo Imperial Palace." I will search for the entity "Tokyo Imperial Palace" to check its connections.

[Tool]
Top 10 entity alternatives:
1. Tokyo Imperial Palace, also known as The Imperial Palace, Kōkyo (wd:Q500681): main residence of the Emperor of Japan
2. Biota of Tokyo Imperial Palace (wd:Q4915320)
3. Ming Palace, also known as Imperial Palace (wd:Q838028): palace
4. back palace, also known as imperial harem, imperial palace, inner palace, rear palace (wd:Q5353683): Chinese harem palace
5. Imperial Palace, Annecy, also known as Impérial Palace (wd:Q3149534): hotel in Annecy, France
6. Imperial Palace (wd:Q131441258): former casino hotel in Las Vegas, Nevada
7. Imperial Palace (wd:Q6006812): novel by Arnold Bennett
8. Palace Tokyo, also known as IMO 7372012 (wd:Q122710815): ship built in 1974
9. Imperial palace (wd:L1358307-S1)
10. imperial palace (wd:L1181371-S1)

[Assistant]
The main residence of the Emperor of Japan is the "Tokyo Imperial Palace" (wd:Q500681).

Now, I will check if there is a direct connection between Emperor Hirohito (wd:Q34479) and the Tokyo Imperial Palace (wd:Q500681) in Wikidata, possibly via "residence" or other properties. I will list all triples where Hirohito is subject and Tokyo Imperial Palace is object.

[Tool] Got no rows and 3 columns

[Assistant]
There is no direct triple linking Emperor Hirohito (wd:Q34479) to the Tokyo Imperial Palace (wd:Q500681) in Wikidata.

Given that the Tokyo Imperial Palace is the main residence of the Emperor of Japan, and that Hirohito was Emperor during his reign, it is highly likely that he lived there. However, Wikidata does not have a direct statement for this.

To provide a comprehensive answer, I will write a SPARQL query that returns any places of residence (wd:P551) or official residences (wd:P263) for Emperor Hirohito, as well as any indirect connections to the Tokyo Imperial Palace, if present. I will also include optional labels for human readability.

Here is the query I will use:

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?coord ?label WHERE {
  wd:Q3572 wdt:P625 ?coord .
  OPTIONAL {
    wd:Q3572 rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}

Tunis is located at geographic coordinates 36.800833°N, 10.180000°E. On a map, this places it in northern Tunisia, near the Mediterranean coast.

[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 tunis on a map?

[Assistant]
Let's break down the question:

1. The user is asking for the location of Tunis on a map.
2. This implies we need to find the entity for Tunis and retrieve its geographic coordinates (latitude and longitude).
3. In Wikidata, geographic coordinates are usually stored with the property "coordinate location".

First, I will search for the entity "Tunis" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Tunis (wd:Q3572): capital of Tunisia
2. French protectorate of Tunisia, also known as Protectorat français de Tunisie, Tunis, Tunisia (wd:Q2017684): 1881-1956 monarchy in Northern Africa
3. Tunis, also known as American Tunis (wd:Q7853119): sheep breed
4. Tunis (wd:Q14222206): village in the Egyptian depression of el-Faiyum
5. Tunis (wd:Q12203526): village in Sohag Governorate, Egypt
6. Tunis (wd:Q96411338): census Designated Place in Texas, United States
7. TUNIS (wd:Q7672034): UNIX-like operating system developed at the University of Toronto
8. Tunis (wd:Q26199309): human settlement in Oman
9. Tunis (wd:Q47457038): given name
10. Tunis (wd:Q16902089): human settlement in Unorganized North Cochrane District, Ontario, Canada

[Assistant]
The most relevant entity for "Tunis" as the capital of Tunisia is wd:Q3572.

Next, I need to find the property for geographic coordinates. This is typically "coordinate location" in Wikidata.

I will search for the property "coordinate location" to confirm its property ID.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): frame of reference used to produce a map
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Assistant]
The correct property for geographic coordinates is "coordinate location" (wd:P625).

Now, I will write a SPARQL query to get the geographic coordinates of Tunis (wd:Q3572) using the property "coordinate location" (wd:P625). I will also include the label for clarity.

[Tool]
Got 1 row and 2 columns:
| ?coord                     | ?label |
| -------------------------- | ------ |
| POINT(10.180000 36.800833) | Tunis  |

[Tool] Stopped generation process