PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P122 ?x .
}

Got 3 rows and 1 column:
| x                                     |
| ------------------------------------- |
| representative democracy (wd:Q188759) |
| presidential system (wd:Q49892)       |
| federal republic (wd:Q512187)         |

The type of political system in Brazil is a combination of a representative democracy, a presidential system, and a federal republic.

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

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

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

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

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

[User] what type of political system is brazil?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what form of government does brazil have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P122 ?x .
}

Using entities:
Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 2:
Question:
what sort of government does brazil have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P122 ?x .
}

Using entities:
Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 3:
Question:
what is the president of brazil?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P6 ?x .
}

Using entities:
Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America

Using properties:
head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

[Assistant] Based on the examples, we can see that the property `wdt:P122` (basic form of government) is used to determine the type of political system of a country. Let's use this property to find out the type of political system in Brazil.

[Tool]
Got 3 rows and 1 column:
| x                                     |
| ------------------------------------- |
| representative democracy (wd:Q188759) |
| presidential system (wd:Q49892)       |
| federal republic (wd:Q512187)         |

[Assistant]
The type of political system in Brazil is a combination of a representative democracy, a presidential system, and a federal republic.

Now, let's formulate the final SPARQL query and provide the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-formed and returns the correct information. It adheres to the guidelines by returning the actual identifiers of the items and provides the expected results. The answer accurately describes the political system of Brazil.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?x WHERE {
  wd:Q211386 wdt:P585 ?x .
}

The big earthquake hit San Francisco on April 18, 1906.

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

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

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

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

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

[User] when did the big earthquake hit san francisco?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what year was the great san francisco fire?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q211386 wdt:P585 ?x .
}

Using entities:
1906 San Francisco earthquake, also known as Great San Francisco Earthquake and Fire, San Francisco earthquake of 1906, San Francisco earthquake and fire, 1906, Great 1906 San Francisco Earthquake, earthquake of 1906 (wd:Q211386): major earthquake that struck San Francisco and the coast of Northern California

Using properties:
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 2:
Question:
when did the christchurch quake happened?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q151850 wdt:P585 ?x .
}

Using entities:
February 2011 Christchurch earthquake, also known as Christchurch 2011 earthquake, Christchurch earthquake (wd:Q151850): February 2011 earthquake in New Zealand

Using properties:
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
where did the loma prieta earthquake occur?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1053476 wdt:P131 ?x .
}

Using entities:
1989 Loma Prieta earthquake, also known as 1989 San Francisco earthquake, Loma Prieta earthquake (wd:Q1053476): major earthquake in northern California

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant] Based on the similar examples, it seems like we need to find the point in time (wdt:P585) of the 1906 San Francisco earthquake (wd:Q211386). Let's construct a SPARQL query to get this information.

[Tool]
Got 1 row and 1 column:
| x                                   |
| ----------------------------------- |
| 1906-04-18T00:00:00Z (xsd:dateTime) |

[Assistant]
The big earthquake hit San Francisco on April 18, 1906.

Now let's provide the final SPARQL query and the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly retrieves the date of the 1906 San Francisco earthquake from Wikidata. The answer provided is accurate and matches the execution result of the query.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?laos ?location WHERE {
  wd:Q819 wdt:P625 ?location ; rdfs:label ?laos .
  FILTER ( LANG( ?laos ) = 'en' )
}

The coordinate location of Laos is POINT(104.100000 18.200000).

[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 laos in world map?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is singapore on a world map?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q334 wdt:P625 ?x .
}

Using entities:
Singapore, also known as SIN, S'pore, Singapore City, SGP, SG (wd:Q334): sovereign island country and city-state in maritime Southeast Asia

Using properties:
coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

Example 2:
Question:
where are the netherlands on a world map?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q55 wdt:P625 ?x .
}

Using entities:
Netherlands, also known as 🇳🇱, the Netherlands, NL, nl, NED (wd:Q55): country in Northwestern Europe with territories in the Caribbean

Using properties:
coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

Example 3:
Question:
where great britain on the world map?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23666 wdt:P625 ?x .
}

Using entities:
Great Britain, also known as Gt. Brit, mainland Britain, GBR, GB, Britannia (wd:Q23666): island in the North Atlantic Ocean off the northwest coast of continental Europe

Using properties:
coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Assistant] Based on the examples, we need to find the coordinate location (P625) of Laos (Q940). Let's first confirm the entity for Laos.

[Tool]
Top 10 entity alternatives:
1. Laos, also known as LAO, Lao PDR, Lao People's Democratic Republic, la (wd:Q819): country in Southeast Asia
2. Tai peoples, also known as Laos, Shans (wd:Q703353): ethnic group
3. Laotians, also known as Lao, Laos (wd:Q11346642): citizens or residents of Laos
4. Laos (wd:Q28322504): family name
5. Laos (wd:Q3217694): German hard rock band
6. Laos (wd:Q103947900): encyclopedia article
7. Laos. (wd:Q47411910): scientific article published in May 1986
8. Laos (wd:Q59597671): Congressional Research Service report
9. Laos (wd:Q58675659): scholarly article
10. Laos (wd:Q130900075): scientific article published in January 2003

[Assistant] The correct entity for Laos is the first one: Laos (Q819), which is the country in Southeast Asia. Now let's confirm the property for the coordinate location.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): 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 pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Assistant]
The correct property for the coordinate location is the first one: coordinate location (P625).

Now, let's construct the SPARQL query to get the coordinate location of Laos (Q819).

[Tool]
Got 1 row and 1 column:
| x                                            |
| -------------------------------------------- |
| POINT(104.100000 18.200000) (geo:wktLiteral) |

[Assistant]
The coordinate location of Laos is `POINT(104.100000 18.200000)`.

To provide a more user-friendly response, let's include the label of Laos in the query as well.

[Tool]
Got 1 row and 2 columns:
| laos      | location                                     |
| --------- | -------------------------------------------- |
| Laos (en) | POINT(104.100000 18.200000) (geo:wktLiteral) |

[Assistant]
The coordinate location of Laos is `POINT(104.100000 18.200000)`.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?laos ?location WHERE {
  wd:Q819 wdt:P625 ?location ;
  rdfs:label ?laos .
  FILTER(LANG(?laos) = 'en')
}
```

Answer: The coordinate location of Laos is `POINT(104.100000 18.200000)`.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and provides the coordinate location of Laos. The SPARQL query is well-formed and follows all the rules. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel .
    FILTER ( LANG( ?placeOfDeathLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| placeOfDeath             | placeOfDeathLabel |
| ------------------------ | ----------------- |
| Down House (wd:Q3038318) | Down House (en)   |

Down House

[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 charles darwin die?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who was charles darwin married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1035 wdt:P26 ?x .
}

Using entities:
Charles Darwin (wd:Q1035): English naturalist and biologist (1809–1882), travel writer, philosopher, ethologist, naturalist, geologist, botanist, explorer, writer

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

Example 2:
Question:
what book did charles darwin write on evolution?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q47461344 ; wdt:P50 wd:Q1035 ; wdt:P921 ?y .
  ?y wdt:P279 | wdt:P361 + wd:Q1063 .
}

Using entities:
Charles Darwin (wd:Q1035): English naturalist and biologist (1809–1882), travel writer, philosopher, ethologist, naturalist, geologist, botanist, explorer, writer
evolution, also known as biological evolution (wd:Q1063): change in heritable characteristics of biological populations over successive generations
written work, also known as creative written work, written delivery (wd:Q47461344): any work expressed in writing, such as inscriptions, manuscripts, documents or maps

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): 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
main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt): primary topic of a work (see also P180: depicts), depicts

Example 3:
Question:
what is the work of charles darwin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P50 wd:Q1035 .
}

Using entities:
Charles Darwin (wd:Q1035): English naturalist and biologist (1809–1882), travel writer, philosopher, ethologist, naturalist, geologist, botanist, explorer, writer

Using properties:
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): 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

[Assistant] None of these examples directly address the place of death, but they provide useful information about Charles Darwin and the structure of the queries. Let's search for the property related to the place of death.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pqn/pqv/wdt/wdtn/pr/prv/psn/psv/ps/pq/prn/p): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant] The property we need is "place of death" (wd:P20). Now let's find the entity for Charles Darwin.

[Tool]
Top 10 entity alternatives:
1. Charles Darwin (wd:Q1035): English naturalist and biologist (1809–1882), travel writer, philosopher, ethologist, naturalist, geologist, botanist, explorer, writer
2. Charles Galton Darwin, also known as Sir Charles Galton Darwin, Charles Darwin (wd:Q1064506): British physicist (1887–1962), university teacher, physicist
3. Charles Darwin (wd:Q5076724): oldest son of Erasmus Darwin and uncle of the naturalist Charles Darwin, physician, writer
4. Darwin, Charles (wd:Q107131027): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
5. Charles Darwin (wd:Q5076728): British flying ace, military personnel
6. Charles Darwin, also known as Charles Darwin, Northern Territory, Charles Darwin, Northern Territory, Australia (wd:Q5076727): location in Northern Territory, Australia
7. Charles Darwin (wd:Q15873833): album by XII Alfonso
8. Charles Darwin (wd:Q19153034): German article in Die Gartenlaube, 1882, no. 19
9. Charles Darwin (wd:Q52450322): scientific article published in June 1972
10. Charles Darwin (wd:Q49071987): scientific article published in January 1990

[Assistant] The correct entity for Charles Darwin is wd:Q1035. Now we can construct a simple SPARQL query to find where Charles Darwin died.

[Tool]
Got 1 row and 1 column:
| placeOfDeath             |
| ------------------------ |
| Down House (wd:Q3038318) |

[Assistant]
The place where Charles Darwin died is Down House.

Now, let's ensure that we include the label of the place in the result for better readability.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath             | placeOfDeathLabel |
| ------------------------ | ----------------- |
| Down House (wd:Q3038318) | Down House (en)   |

[Assistant]
The place where Charles Darwin died is Down House.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the place of death for Charles Darwin, which is Down House, and returns both the IRI and the label.


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 ?attraction ?attractionLabel WHERE {
  {
    ?attraction wdt:P31 / wdt:P279 * wd:Q570116
  } UNION {
    ?attraction wdt:P31 / wdt:P279 * wd:Q22698
  } UNION {
    ?attraction wdt:P31 / wdt:P279 * wd:Q27916659
  } UNION {
    ?attraction wdt:P31 / wdt:P279 * wd:Q33506
  }
  ?attraction wdt:P131 wd:Q16556 ; rdfs:label ?attractionLabel .
  FILTER ( LANG( ?attractionLabel ) = "en" )
}

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| attraction                                               | attractionLabel                                |
| -------------------------------------------------------- | ---------------------------------------------- |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum (en)              |
| Wells Fargo History Museum (wd:Q18325619)                | Wells Fargo History Museum (en)                |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park (en) |
| Martin Auto Museum (wd:Q28403329)                        | Martin Auto Museum (en)                        |
| Children's Museum of Phoenix (wd:Q30278626)              | Children's Museum of Phoenix (en)              |
| ...                                                      | ...                                            |
| Phoenix Civic Space Park (wd:Q7186813)                   | Phoenix Civic Space Park (en)                  |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park (en)                       |
| Wesley Bolin Memorial Plaza (wd:Q7983851)                | Wesley Bolin Memorial Plaza (en)               |
| Six Flags Hurricane Harbor Phoenix (wd:Q7989946)         | Six Flags Hurricane Harbor Phoenix (en)        |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum (en)                        |

Some places to see in Phoenix, Arizona include: Shemer Art Center and Museum, Wells Fargo History Museum, Phoenix Carnegie Library and Library Park, Martin Auto Museum, Children's Museum of Phoenix, Phoenix Civic Space Park, South Mountain Park, Wesley Bolin Memorial Plaza, Six Flags Hurricane Harbor Phoenix, and Phoenix Art Museum.

[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 to see in phoenix arizona?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what to do with kids in phx az?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q570116 ; wdt:P131 wd:Q16556 .
}

Using entities:
Phoenix, also known as City of Phoenix, Valley of the Sun, PHX, Phoenix, Arizona, Phoenix, AZ (wd:Q16556): city in Maricopa County, Arizona, United States
tourist attraction, also known as attraction for tourists, POI for tourists, tourism attraction, touristic attraction, tourist place (wd:Q570116): place of interest where tourists visit

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
what is there to see near the grand canyon?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q570116 ; wdt:P131 wd:Q118841 .
}

Using entities:
Grand Canyon, also known as Cañon of Colorado (wd:Q118841): steep-sided canyon carved by the Colorado River in Arizona, United States
tourist attraction, also known as attraction for tourists, POI for tourists, tourism attraction, touristic attraction, tourist place (wd:Q570116): place of interest where tourists visit

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
what is the newspaper in phoenix?

SPARQL:
SELECT DISTINCT ?x WHERE {
  {
    ?x wdt:P31 / wdt:P279 * wd:Q11032 .
  } UNION {
    ?x wdt:P31 / wdt:P279 * wd:Q1110794 .
  }
  ?x wdt:P131 wd:Q16556 .
}

Using entities:
newspaper, also known as news paper, news papers, newspapers (wd:Q11032): scheduled publication containing news of events, articles, features, editorials, and advertising
daily newspaper (wd:Q1110794): type of newspaper usually published daily
Phoenix, also known as City of Phoenix, Valley of the Sun, PHX, Phoenix, Arizona, Phoenix, AZ (wd:Q16556): city in Maricopa County, Arizona, United States

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] Based on the examples, we can infer that to find what to see in Phoenix, Arizona, we need to look for tourist attractions located in Phoenix. Let's start by identifying the entity for Phoenix, Arizona.

[Tool]
Top 10 entity alternatives:
1. Phoenix, also known as City of Phoenix, Valley of the Sun, PHX, Phoenix, Arizona, Phoenix, AZ (wd:Q16556): city in Maricopa County, Arizona, United States
2. Phoenix Arizona Temple (wd:Q7186791): temple of The Church of Jesus Christ of Latter-day Saints in Phoenix, Arizona, United States
3. flag of Phoenix, Arizona, also known as flag of Phoenix, Phoenix, Arizona flag, Phoenix flag (wd:Q15961947): flag of Phoenix, Arizona, U.S.A.
4. history of Phoenix, Arizona, also known as Phoenix, Arizona history (wd:Q16984355): aspect of history
5. Phoenix/West, also known as West Phoenix Arizona (wd:Q14229289): Neighborhood in Phoenix, Arizona
6. Phoenix, Arizona Auditions (wd:Q114509934): episode of American Idol (S8 E1)
7. Nude, Phoenix, Arizona (wd:Q79942531): photograph by Lee Friedlander (American, b. 1934) (1989.427)
8. crime in Phoenix, also known as crime in Phoenix, Arizona (wd:Q22058671): Survey of the topic
9. Mayor of Phoenix, also known as Mayor of Phoenix, Arizona (wd:Q23656025): head of administration of Phoenix, Arizona
10. Coccidioidomycosis in Phoenix, Arizona (wd:Q83264436): scientific article published on 01 September 1947

[Assistant] The top result for "Phoenix, Arizona" is `wd:Q16556`. Now, let's identify the entity for "tourist attraction" or "points of interest".

[Tool]
Top 10 entity alternatives:
1. tourist attraction, also known as attraction for tourists, POI for tourists, tourism attraction, touristic attraction, tourist place (wd:Q570116): place of interest where tourists visit
2. Tourist Attraction (wd:Q4167290): episode of The Outer Limits
3. Tourist attraction (wd:Q60064106): scientific article published in Nature
4. Lerd, also known as Iran tourist villages, villages, Lerd tourist village, Lerd, Ardabil, Lard (wd:Q6402876): Tourist village in Ardabil Province, Iran
5. Songshanhu tourist attraction (wd:Q109343070)
6. major tourist attraction (wd:Q63982751)
7. a tourist attraction (wd:L733218-S1)
8. a tourist attraction (wd:L1310967-S1)
9. Tourist Attraction in Kalahandi (wd:Q7829245)
10. Cemeteries as tourist attraction (wd:Q113194819): scientific article published on 19 July 2018

[Assistant]
The top result for "tourist attraction" is `wd:Q570116`. Now, we can construct a SPARQL query to find tourist attractions located in Phoenix, Arizona (`wd:Q16556`).

Let's write the initial SPARQL query:

```sparql
SELECT DISTINCT ?attraction WHERE {
  ?attraction wdt:P31 / wdt:P279* wd:Q570116 ;
              wdt:P131 wd:Q16556 .
}
```

This query selects distinct tourist attractions that are instances or subclasses of `wd:Q570116` (tourist attraction) and are located in Phoenix, Arizona (`wd:Q16556`).

Let's execute this query to see the results.

[Tool]
Got 3 rows and 1 column:
| attraction                                       |
| ------------------------------------------------ |
| Castles N' Coasters (wd:Q5050593)                |
| Six Flags Hurricane Harbor Phoenix (wd:Q7989946) |
| Phoenix Art Museum (wd:Q977015)                  |

[Assistant]
The initial query has returned some tourist attractions in Phoenix, Arizona. However, it might be beneficial to include more details such as the names of these attractions. Let's modify the query to include the labels of the attractions.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?attraction ?attractionLabel WHERE {
  ?attraction wdt:P31 / wdt:P279* wd:Q570116 ;
              wdt:P131 wd:Q16556 ;
              rdfs:label ?attractionLabel .
  FILTER(LANG(?attractionLabel) = "en")
}
```

This query includes the label of each attraction and filters the results to only include English labels.

Let's execute this updated query.

[Tool]
Got 3 rows and 2 columns:
| attraction                                       | attractionLabel                         |
| ------------------------------------------------ | --------------------------------------- |
| Castles N' Coasters (wd:Q5050593)                | Castles N' Coasters (en)                |
| Six Flags Hurricane Harbor Phoenix (wd:Q7989946) | Six Flags Hurricane Harbor Phoenix (en) |
| Phoenix Art Museum (wd:Q977015)                  | Phoenix Art Museum (en)                 |

[Assistant]
The updated query has successfully returned the tourist attractions in Phoenix, Arizona along with their labels. Here are the results:

- **Castles N' Coasters** (wd:Q5050593)
- **Six Flags Hurricane Harbor Phoenix** (wd:Q7989946)
- **Phoenix Art Museum** (wd:Q977015)

These are some of the places to see in Phoenix, Arizona.

Let's finalize the answer with the SPARQL query and the results.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it could benefit from including more well-known attractions in Phoenix, Arizona. Consider adding more specific categories of attractions such as parks, historical sites, and museums to ensure a comprehensive list.

[Assistant]
Thank you for the feedback. To ensure a more comprehensive list of attractions in Phoenix, Arizona, we can include additional categories such as parks, historical sites, and museums. We can achieve this by expanding our query to include these specific types of attractions.

First, let's identify the entities for "park," "historical site," and "museum."

### Step 1: Identify Entities for Parks, Historical Sites, and Museums

#### Parks
Let's search for the entity "park."

[Tool]
Top 10 entity alternatives:
1. park, also known as recreational park (wd:Q22698): permanently dedicated recreation area, often open to the public ...erally characterized by natural, historic, or landscape features
2. playground, also known as play area, play yard, playpark, park, play ground (wd:Q11875349): place with a specific design for children and other age groups to be able to play there
3. Park, also known as Park, Kansas, Park, KS (wd:Q2901291): city in Gove County, Kansas, United States
4. Park, also known as 朴, 박, Bak, Pak (wd:Q715935): Korean family name (박)
5. Munsey Park, also known as Incorporated Village of Munsey Park, VMP, Village of Munsey Park, The Park, Munsey Park, NY (wd:Q3449249): incorporated village in Nassau County, New York, United States of America
6. Park, also known as Park, Merthyr Tydfil (wd:Q7137585): community and electoral ward of the county borough of Merthyr Tydfil, in Wales
7. Park, also known as Park, County Londonderry, Park, Northern Ireland (wd:Q793559): village in County Londonderry, Northern Ireland
8. Mount Park, also known as Park (wd:Q6922658): mountain in the Antarctic
9. Park (wd:Q5779313): village in Iran
10. The Park, also known as Park (wd:Q3988626): 2003 film by Andrew Lau

[Assistant]
The top result for "park" is `wd:Q22698`.

#### Historical Sites
Now, let's search for the entity "historical site."

[Tool]
Top 10 entity alternatives:
1. former place, also known as historical location, historical place, historical site (wd:Q27916659): location mentioned to have existed in history
2. Historical Site (wd:Q48892005): one of the types of Bien de Interés Cultural (BIC) in Spain and site to which this category has been granted
3. Niumatou Site, also known as Gû-mâ-thâu Historical Site, Niumatou Historical Site, Gomach Historical Site (wd:Q15930520): Archaeological site in Qingshui, Taichung, Taiwan
4. Yuanshan Site, also known as Yuanshan Culture, Yuanshan Historical Site (wd:Q10927492)
5. Chuping Archaeological Site, also known as Qubing Historical Site (wd:Q66606937): archaeological site in Ren'ai, Nantou County, Taiwan
6. Beinan Archaeological  Site, also known as Beinan Historical Site, Beinan Site (wd:Q10906040): Archaeological site in Taitung City, Taitung County, Taiwan
7. Huilai Monument Archaeology Park, also known as Huilai Historical Site (wd:Q11073335): Archaeological site in Xitun, Taichung, Taiwan
8. Dulan Site, also known as Dulan Historical Site (wd:Q10560918): Archaeological site in Donghe, Taitung County, Taiwan
9. Liphofung Historical Site (wd:Q6556310): historical site in Lesotho
10. Qijiawan Historical Site (wd:Q10864578)

[Assistant]
The top result for "historical site" is `wd:Q27916659`.

#### Museums
Finally, let's search for the entity "museum."

[Tool]
Top 10 entity alternatives:
1. museum, also known as museal institution, museum-style institution (wd:Q33506): institution that holds artifacts and other objects of scientific, artistic, cultural, historical, or other importance
2. .museum, also known as dot museum (wd:Q826088): sponsored top-level Internet domain
3. Museum, also known as Museo (wd:Q48322275): 2018 film directed by Alonso Ruizpalacios
4. Museum, also known as Museum (Myûjiamu) (wd:Q25208680): 2016 film directed by Keishi Ōtomo
5. Museum (wd:Q1041205): subway station on the Yonge–University–Spadina line of the Toronto subway
6. Museum (wd:Q2402988): cultural heritage monument D-6-76-112-8 (0) in Amorbach, Bavaria
7. Museum, also known as Museum, Kansas (wd:Q48849164): place in Kansas, United States
8. museum building, also known as museum (wd:Q24699794): building housing a museum
9. Weinstraße 7, also known as Museum (wd:Q15107387): cultural heritage monument D-6-75-174-128 (0) in Volkach, Bavaria
10. The Kell House, also known as Frank Kell House, museum (wd:Q16988850): house

[Assistant]
The top result for "museum" is `wd:Q33506`.

### Step 2: Construct the Comprehensive SPARQL Query

Now that we have the entities for parks, historical sites, and museums, we can construct a more comprehensive SPARQL query to find tourist attractions, parks, historical sites, and museums in Phoenix, Arizona.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?attraction ?attractionLabel WHERE {
  {
    ?attraction wdt:P31 / wdt:P279* wd:Q570116
  } UNION {
    ?attraction wdt:P31 / wdt:P279* wd:Q22698
  } UNION {
    ?attraction wdt:P31 / wdt:P279* wd:Q27916659
  } UNION {
    ?attraction wdt:P31 / wdt:P279* wd:Q33506
  }
  ?attraction wdt:P131 wd:Q16556 ;
              rdfs:label ?attractionLabel .
  FILTER(LANG(?attractionLabel) = "en")
}
```

This query includes tourist attractions, parks, historical sites, and museums located in Phoenix, Arizona.

Let's execute this updated query to see the results.

[Tool]
Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| attraction                                               | attractionLabel                                |
| -------------------------------------------------------- | ---------------------------------------------- |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum (en)              |
| Wells Fargo History Museum (wd:Q18325619)                | Wells Fargo History Museum (en)                |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park (en) |
| Martin Auto Museum (wd:Q28403329)                        | Martin Auto Museum (en)                        |
| Children's Museum of Phoenix (wd:Q30278626)              | Children's Museum of Phoenix (en)              |
| ...                                                      | ...                                            |
| Phoenix Civic Space Park (wd:Q7186813)                   | Phoenix Civic Space Park (en)                  |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park (en)                       |
| Wesley Bolin Memorial Plaza (wd:Q7983851)                | Wesley Bolin Memorial Plaza (en)               |
| Six Flags Hurricane Harbor Phoenix (wd:Q7989946)         | Six Flags Hurricane Harbor Phoenix (en)        |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum (en)                        |

[Assistant]
The updated query has returned a more comprehensive list of attractions in Phoenix, Arizona, including parks, historical sites, and museums. Here are the results:

- **Shemer Art Center and Museum** (wd:Q16900026)
- **Wells Fargo History Museum** (wd:Q18325619)
- **Phoenix Carnegie Library and Library Park** (wd:Q24693348)
- **Martin Auto Museum** (wd:Q28403329)
- **Children's Museum of Phoenix** (wd:Q30278626)
- **Phoenix Civic Space Park** (wd:Q7186813)
- **South Mountain Park** (wd:Q7567997)
- **Wesley Bolin Memorial Plaza** (wd:Q7983851)
- **Six Flags Hurricane Harbor Phoenix** (wd:Q7989946)
- **Phoenix Art Museum** (wd:Q977015)

These are some of the places to see in Phoenix, Arizona, covering a range of attractions such as museums, parks, and historical sites.

Let's finalize the answer with the SPARQL query and the results.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves a list of tourist attractions, parks, museums, and historical sites located in Phoenix, Arizona. The results are relevant and match the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse WHERE {
  wd:Q210172 wdt:P26 ?spouse
}

Kevin Jonas is married to Danielle Jonas.

[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 kevin jonas married to?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who has been married to julia roberts?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q40523 wdt:P26 ?x .
}

Using entities:
Julia Roberts, also known as Julia Fiona Roberts (wd:Q40523): American actress (born 1967), television actor, film producer, voice actor, stage actor, film actor, actor, model

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

Example 2:
Question:
who is steve nash married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q192955 wdt:P26 ?x .
}

Using entities:
Steve Nash, also known as Stephen John Nash (wd:Q192955): Canadian basketball player and coach, basketball player, basketball coach, businessperson, film director

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

Example 3:
Question:
what is jonas brothers names?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q134233 wdt:P527 ?x .
}

Using entities:
Jonas Brothers, also known as The Jonas Brothers (wd:Q134233): American pop rock band

Using properties:
has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

[Assistant] Based on the examples, we need to find Kevin Jonas' IRI and then use the `spouse` property to find out who he is married to. Let's first search for Kevin Jonas.

[Tool]
Top 10 entity alternatives:
1. Kevin Jonas, also known as Paul Kevin Jonas II (wd:Q210172): American singer, actor and musician, singer-songwriter, television actor, voice actor, mandolinist, film actor, guitarist, composer, pianist, singer, actor
2. Kevin Jonas Sr. (wd:Q24849224): film producer
3. Jonah, also known as Jonas, Younas (wd:Q2468262): Biblical and Quranic prophet, preacher
4. Jonas, also known as Jonas Gonçalves Oliveira (wd:Q326476): association football player, Brazilian footballer, pharmacist
5. Jonas, also known as JONAS, Jonas L.A. (wd:Q217276): American TV series
6. Jonas Jonasson, also known as Pär-Ola Jonas Jonasson (wd:Q923556): Swedish journalist and writer, television producer, journalist, writer
7. Kevin, also known as Kevin, MT, Kevin, Montana (wd:Q962992): town in Toole County, Montana, United States
8. Kevin, also known as Kevin (first name), Kevin (given name) (wd:Q605834): male given name
9. Xu Kai, also known as Kevin (wd:Q56433872): Chinese actor and model, television actor, actor
10. Jonas (wd:Q4926920): name: given name and surname

[Assistant]
The correct entity for Kevin Jonas is `wd:Q210172`. Now let's use the `spouse` property (`wdt:P26`) to find out who he is married to.

I will now construct and execute the SPARQL query.

[Tool]
Got 1 row and 1 column:
| spouse                        |
| ----------------------------- |
| Danielle Jonas (wd:Q50526598) |

[Assistant]
The SPARQL query successfully returned the information that Kevin Jonas is married to Danielle Jonas.

Now, I will provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the spouse of Kevin Jonas, and the answer provided is accurate.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?causeOfDeath WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
}

The cause of death for Bruce Lee was cerebral edema.

[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 was the cause of death for bruce lee?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what was the cause of death for sage stallone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q440932 wdt:P509 ?x .
}

Using entities:
Sage Stallone (wd:Q440932): American actor, film director, and producer (1976-2012), film director, film producer, screenwriter, film actor, composer, actor

Using properties:
cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide

Example 2:
Question:
what did bob ross die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q455511 wdt:P509 ?x .
}

Using entities:
Bob Ross, also known as Robert Ross, Robert Norman "Bob" Ross, Bob Roos (wd:Q455511): American painter, art instructor, television host, and Air Force master sergeant (1942–1995), television presenter, clinical coder, painter

Using properties:
cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide

Example 3:
Question:
what did roy rogers die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q367129 wdt:P509 ?x .
}

Using entities:
Roy Rogers, also known as Leonard Slye, Leonard Sly, Leonard Frank Sly, Leonard Franklin Slye (wd:Q367129): American actor and singer (1911-1998), television actor, songwriter, film actor, yodeler, singer, actor

Using properties:
cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide

[Assistant] From the examples, we can see that the property `wdt:P509` is used to represent the cause of death. Now, let's find the entity for Bruce Lee.

[Tool]
Top 10 entity alternatives:
1. Bruce Lee, also known as Lee Jun-fan (wd:Q16397): Chinese-American martial artist and actor (1940–1973), stunt coordinator, television actor, stunt performer, martial artist, film director, film producer, screenwriter, film actor, director, writer, actor
2. Statue of Bruce Lee, also known as Bruce Lee, Statue of Bruce Lee, Hong Kong, Bruce Lee statue (wd:Q4353553): statue in Hong Kong
3. Bruce Lee (wd:Q924462): 1984 video game
4. Bruce Lee (wd:Q21646198): 2017 film directed by Prashanth Pandiraj
5. Statue of Bruce Lee, also known as Statue of Bruce Lee, Los Angeles, Bruce Lee statue in Los Angeles, Bruce Lee statue, Bruce Lee (wd:Q28222834): statue in Los Angeles, California
6. Bruce Lee (wd:Q4977859): 1999 single by Underworld
7. Bruce Y. Lee, also known as Bruce Y Lee, Bruce Lee (wd:Q65555428): researcher, journalist
8. Bruce Lee (wd:Q4977856): comic book series by Mike Baron
9. Benalla, also known as Bruce Lee (wd:Q55657662): family name
10. Bruce Lee (wd:Q100875335): college basketball player (1982–1983) Oklahoma, basketball player

[Assistant] The correct entity for Bruce Lee is `wd:Q16397`. Now, let's construct a SPARQL query to find the cause of death for Bruce Lee using the property `wdt:P509`.

[Tool]
Got 1 row and 1 column:
| causeOfDeath                |
| --------------------------- |
| cerebral edema (wd:Q979168) |

[Assistant]
The cause of death for Bruce Lee was cerebral edema.

Now, let's finalize the answer with the SPARQL query and the result.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the cause of death for Bruce Lee as cerebral edema, which is the answer provided.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation ?birthPlace WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  wd:Q133622 wdt:P19 ?birthPlace
}

Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                     | birthPlace          |
| ------------------------------ | ------------------- |
| explorer (wd:Q11900058)        | Larvik (wd:Q156125) |
| ethnographer (wd:Q12347522)    | Larvik (wd:Q156125) |
| researcher (wd:Q1650915)       | Larvik (wd:Q156125) |
| world traveler (wd:Q1937330)   | Larvik (wd:Q156125) |
| historian (wd:Q201788)         | Larvik (wd:Q156125) |
| ...                            | ...                 |
| writer (wd:Q36180)             | Larvik (wd:Q156125) |
| archaeologist (wd:Q3621491)    | Larvik (wd:Q156125) |
| marine biologist (wd:Q3640160) | Larvik (wd:Q156125) |
| sailor (wd:Q45199)             | Larvik (wd:Q156125) |
| anthropologist (wd:Q4773904)   | Larvik (wd:Q156125) |

Thor Heyerdahl was a Norwegian anthropologist, adventurer, marine biologist, archaeologist, film director, ethnographer, screenwriter, researcher, historian, traveler, explorer, and writer. He was born in Larvik, Norway.

[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 thor heyerdahl?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who is henry david thoreau?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q131149 wdt:P106 ?x .
}

Using entities:
Henry David Thoreau, also known as Henry Thoreau, Thoreau, Henry D. Thoreau (wd:Q131149): American essayist, poet, and philosopher (1817–1862), environmentalist, autobiographer, abolitionist, philosopher, translator, naturalist, ecologist, essayist, diarist, writer, poet

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

Example 2:
Question:
where did sir ernest shackleton come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q957543 wdt:P19 ?x .
}

Using entities:
Ernest Shackleton, also known as Sir Ernest Henry Shackleton (wd:Q957543): Anglo-Irish Antarctic explorer (1874–1922), military officer, polar explorer, traveler, explorer

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

Example 3:
Question:
who was louis riel?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q313691 wdt:P106 ?x .
}

Using entities:
Louis Riel, also known as Louis "David" Riel (wd:Q313691): Métis leader in Canada (1844–1885), politician

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

[Assistant] Based on the examples, it seems like we need to find Thor Heyerdahl's occupations and possibly his place of birth. Let's first identify Thor Heyerdahl in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Thor Heyerdahl, also known as Th. Heyerdahl, T. Heyerdahl, Dr Thor Heyerdahl (wd:Q133622): Norwegian anthropologist and adventurer (1914-2002), marine biologist, anthropologist, world traveler, archaeologist, film director, ethnographer, screenwriter, researcher, adventurer, historian, traveler, explorer, writer, sailor
2. Thor Heyerdahl, also known as IMO 5221491, Marga Henning, Minnow, Silke, Tinka (wd:Q1615407): schooner
3. Thor Heyerdahl (wd:Q108840549): 25 Sep 1869 Kristiana, Norway - 1957
4. Thor Heyerdahl, also known as Thor Heyerdahl jr. (wd:Q76360462): son of the adventurer Thor Heyerdahl, marine biologist, marine scientist, teacher
5. HNoMS Thor Heyerdahl, also known as F314 (wd:Q3436458): 2009 Fridtjof Nansen-class frigate
6. Thor Heyerdahl Archives (wd:Q28028353): Memory of the World inscription, submitted by Norway, added in 2011
7. Thorleif Heyerdahl (wd:Q96146229): draftsperson, painter
8. Thorvald Heyerdahl (wd:Q126167314): Nordic skiing
9. Thorbjørn Heyerdahl (wd:Q12006178): civil servant, (1854-1931)
10. Thor Heyerdahl Climate Park (wd:Q20992112): nature restoration park in Myanmar

[Assistant] The correct entity for Thor Heyerdahl is `wd:Q133622`. Now let's find out his occupations and place of birth.

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                     | birthPlace          |
| ------------------------------ | ------------------- |
| explorer (wd:Q11900058)        | Larvik (wd:Q156125) |
| ethnographer (wd:Q12347522)    | Larvik (wd:Q156125) |
| researcher (wd:Q1650915)       | Larvik (wd:Q156125) |
| world traveler (wd:Q1937330)   | Larvik (wd:Q156125) |
| historian (wd:Q201788)         | Larvik (wd:Q156125) |
| ...                            | ...                 |
| writer (wd:Q36180)             | Larvik (wd:Q156125) |
| archaeologist (wd:Q3621491)    | Larvik (wd:Q156125) |
| marine biologist (wd:Q3640160) | Larvik (wd:Q156125) |
| sailor (wd:Q45199)             | Larvik (wd:Q156125) |
| anthropologist (wd:Q4773904)   | Larvik (wd:Q156125) |

[Assistant]
Thor Heyerdahl was a Norwegian anthropologist, adventurer, marine biologist, archaeologist, film director, ethnographer, screenwriter, researcher, historian, traveler, explorer, and writer. He was born in Larvik, Norway.

Now, let's formulate the final SPARQL query and provide the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully retrieves Thor Heyerdahl's occupations and place of birth from Wikidata. The human-readable answer accurately summarizes the information obtained from the query.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?country WHERE {
  wd:Q34086 wdt:P27 ?country .
}

Got 1 row and 1 column:
| country         |
| --------------- |
| Canada (wd:Q16) |

Canada

[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 country does justin bieber come from?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where did justin bieber grew up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q34086 wdt:P19 ?x .
}

Using entities:
Justin Bieber, also known as Justin Drew Bieber (wd:Q34086): Canadian singer (born 1994), musician

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

Example 2:
Question:
what is the name of justin bieber brother?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q34086 wdt:P3373 ?x .
  ?x wdt:P21 wd:Q6581097 .
}

Using entities:
Justin Bieber, also known as Justin Drew Bieber (wd:Q34086): Canadian singer (born 1994), musician
male, also known as guy, m, male character, male gender, male human (wd:Q6581097): to be used in "sex or gender" (P21) to indicate that the human s...gender" (P10339) to indicate that a word refers to a male person

Using properties:
sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative

Example 3:
Question:
where did rihanna come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q36844 wdt:P19 ?x .
}

Using entities:
Rihanna, also known as Barbadian singer, Rihana, Robyn Fenty, Robyn Rihanna Fenty (wd:Q36844): Barbadian singer and actress, singer

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

[Assistant] Based on the examples, it seems like we need to look for the place of birth (P19) of Justin Bieber (Q34086). However, the place of birth might not directly give us the country, so we might need to further investigate the type of the place of birth to determine if it is a city, and then find the country of that city. Let's start by finding the place of birth of Justin Bieber.

[Tool]
Got 1 row and 1 column:
| placeOfBirth       |
| ------------------ |
| London (wd:Q92561) |

[Assistant] It appears that the place of birth of Justin Bieber is London (Q92561). However, this seems incorrect because Justin Bieber is known to be Canadian. There might be a mistake in the data. Let's verify the place of birth again and also check if there is any other property that indicates his origin or nationality.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth       | nationality     |
| ------------------ | --------------- |
| London (wd:Q92561) | Canada (wd:Q16) |

[Assistant]
The result shows that Justin Bieber's place of birth is listed as London (Q92561), but his nationality is correctly listed as Canada (Q16). This discrepancy suggests that the place of birth might be incorrect or incomplete. Since the nationality is correct, we can conclude that Justin Bieber comes from Canada.

To provide a clear and accurate answer, we can focus on the nationality property (P27).

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  wd:Q34086 wdt:P27 ?country .
}
```

And the answer to the question is:

**Canada**

Let's confirm this with the final answer function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Justin Bieber's country of citizenship as Canada.