PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinates WHERE {
  wd:Q819 wdt:P625 ?coordinates .
}

The coordinates of Laos are 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 examples.

[Tool]
Example 1:
Question:
what money is used in england?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q21 wdt:P38 ?x .
}

Using entities:
England, also known as England, United Kingdom, England, UK, ENG (wd:Q21): country in north-west Europe, part of the United Kingdom

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
where jay z was raised?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q62766 wdt:P19 ?x .
}

Using entities:
Jay-Z, also known as Jigga, S. Carter, Jigga Man, JAY-Z, J-Hova (wd:Q62766): American rapper and entrepreneur from New York (born 1969), media proprietor, music executive, record producer, businessperson, philanthropist, entrepreneur, songwriter, investor, rapper, actor

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:
what kind of economy was the soviet union?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q15180 wdt:P122 ?x .
}

Using entities:
Soviet Union, also known as Union of Soviet Socialist Republics, The USSR, URS, the Union of Soviet Socialist Republics, the Soviet Union (wd:Q15180): former country in Eurasia (1922–1991)

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

[Assistant] Based on the examples, we need to identify the entity for Laos and the property for its location on the world map. Let's first search for the entity representing 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 `wd:Q819`. Next, we need to find out the property that represents the location of a country on the world map. A common property for this purpose is the geographic coordinates. Let's search for the property that provides the geographic coordinates.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): coordinates of the place depicted in the work (or Commons image)
4. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
5. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): indicate when something happens relative to its beginning
6. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): genomic starting coordinate of the biological sequence (e.g. a gene)
7. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): frame of reference used to produce a map
8. coordinates of the point of view, also known as camera location, camera coordinates, viewpoint coordinates, coordinates of point of view, coordinates of pov (wd:P1259 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): point from which the scene depicted by the element is seen (element can be a photo, a painting, etc.)
9. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): person or organization occupying property, used by
10. named place on map, also known as name on map, place on map (wd:P9664 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): property linking a map to a place named on it

[Assistant]
The property `coordinate location` (wd:P625) is the appropriate property for obtaining the geographic coordinates of a place. Now, let's construct a SPARQL query to get the coordinates of Laos.

```sparql
SELECT ?coordinates WHERE {
  wd:Q819 wdt:P625 ?coordinates .
}
```

Let's execute this query to get the coordinates of Laos.

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

[Assistant]
The coordinates of Laos are `POINT(104.100000 18.200000)`. This means Laos is located at approximately 104.1 degrees east longitude and 18.2 degrees north latitude on the world map.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?coordinates WHERE {
  wd:Q819 wdt:P625 ?coordinates .
}
```

Answer: The coordinates of Laos are `POINT(104.100000 18.200000)`.

Now, let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and provides the geographical coordinates of Laos. The SPARQL query is well-formed and returns the expected result.


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 examples.

[Tool]
Example 1:
Question:
who played emma frost?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P161 ?y .
  ?y ps:P161 ?x ; pq:P453 wd:Q1995969 .
}

Using entities:
Emma Frost, also known as Emma Grace Frost, The Queen of Hellfire club, The Lady of Lies, The White Rose, White Queen (wd:Q1995969): fictional character in Marvel Comics, chief executive officer, head teacher, superhero

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

Example 2:
Question:
what time zone is oklahoma state?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1649 wdt:P421 ?x .
}

Using entities:
Oklahoma, also known as OK, Okla., Oklahoma, United States, US-OK, State of Oklahoma (wd:Q1649): state of the United States of America

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 3:
Question:
who was the president of pakistan in 1980?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q473984 ; pq:P580 ?y ; pq:P582 ?z .
  FILTER ( ( ?y < "1981-01-01T00:00:00Z" ^^ xsd:dateTime ) && ( ?z >= "1980-01-01T00:00:00Z" ^^ xsd:dateTime ) )
}

Using entities:
President of Pakistan (wd:Q473984): head of state of Pakistan

Using properties:
position held, also known as function, held position, holds position, job, office held (wd:P39 as ps/p): subject currently or formerly holds the object position or public office
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

[Assistant] Based on the examples, we need to find the place where Charles Darwin died. We can use the property "place of death" (P20) to find this information. Let's first search for the entity "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 top result is the correct entity for Charles Darwin. Now let's find the property "place of death" and see if it is associated with this entity.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): 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 pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property "place of death" (P20) is the correct one we need. Now let's construct a simple SPARQL query to find the place where Charles Darwin died.

Here’s the SPARQL query:

```sparql
SELECT ?placeOfDeath WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
}
```

Let's execute this query.

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

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

To provide a more complete answer, let's include the label of Down House in the query. Here’s the updated SPARQL query:

```sparql
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL { ?placeOfDeath rdfs:label ?placeOfDeathLabel . FILTER(LANG(?placeOfDeathLabel) = "en") }
}
```

Let's execute this updated query.

[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.

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

```sparql
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL { ?placeOfDeath rdfs:label ?placeOfDeathLabel . FILTER(LANG(?placeOfDeathLabel) = "en") }
}
```

The answer to the question "Where did Charles Darwin die?" is Down House.

[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 the IRI along with the label.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?place WHERE {
  {
    ?place wdt:P31 / wdt:P279 * wd:Q22698 ; wdt:P131 wd:Q16556
  } UNION {
    ?place wdt:P31 / wdt:P279 * wd:Q33506 ; wdt:P131 wd:Q16556
  }
}

Got 17 rows and 1 column, showing the first 5 and last 5 rows below:
| place                                                    |
| -------------------------------------------------------- |
| Wesley Bolin Memorial Plaza (wd:Q7983851)                |
| Moon Valley Park (wd:Q49528056)                          |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) |
| South Mountain Park (wd:Q7567997)                        |
| Papago Park (wd:Q7132387)                                |
| ...                                                      |
| Shemer Art Center and Museum (wd:Q16900026)              |
| Arizona Street Railway Museum (wd:Q4791443)              |
| Martin Auto Museum (wd:Q28403329)                        |
| Phoenix Art Museum (wd:Q977015)                          |
| Children's Museum of Phoenix (wd:Q30278626)              |

Some notable places to see in Phoenix, Arizona include: Wesley Bolin Memorial Plaza, Moon Valley Park, Phoenix Carnegie Library and Library Park, South Mountain Park, Papago Park, Shemer Art Center and Museum, Arizona Street Railway Museum, Martin Auto Museum, Phoenix Art Museum, and Children's Museum of Phoenix.

[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 examples.

[Tool]
Example 1:
Question:
what university did bill clinton graduated from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1124 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Bill Clinton, also known as William Jefferson Blythe, William Jefferson Blythe III, William Jefferson "Bill" Clinton, William Jefferson Clinton, WJC (wd:Q1124): President of the United States from 1993 to 2001, autobiographer, statesperson, saxophonist, politician, governor, diplomat, teacher, jurist, lawyer, writer
higher education institution, also known as HEI, Higher Education school, institution of higher education, Superior Institute (wd:Q38723): institution that provides higher education (e.g., universities, ...es, liberal arts colleges, institutes of technology, and others)

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)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
what religions are in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q159 wdt:P3075 ?x .
}

Using entities:
Russia, also known as Russian Federation, RUS, RU, RF, ISO 3166-1:RU (wd:Q159): country in Eastern Europe and Northern Asia

Using properties:
official religion, also known as established religion, state religion (wd:P3075 as wdt): official religion in this administrative entity

Example 3:
Question:
who does leia think her father is?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q51797 wdt:P22 ?x .
}

Using entities:
Princess Leia, also known as Princess Leia Organa, Leia Organa Solo, Leia Organa, Princess Leia Organa of Alderaan, General Organa (wd:Q51797): fictional character from Star Wars, starship pilot, politician, diplomat, impostor, rebel, Jedi, spy

Using properties:
father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent

[Assistant] Based on the examples, we need to identify the relevant entities and properties for our question about what to see in Phoenix, Arizona. Let's start by searching for the entity representing 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 is the entity for Phoenix, Arizona (wd:Q16556). Now, let's find out what kind of properties might be useful to identify notable places or attractions in Phoenix. We can look for properties such as "point of interest" or "landmark."

Let's search for properties related to points of interest or landmarks.

[Tool]
Top 10 property alternatives:
1. significant place, also known as sign. place, significant location, significant landmark, place associated with the subject, notable place (wd:P7153 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): significant or notable places associated with the subject, location
2. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): item of special or vested interest to this person or organisation
3. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
4. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): things, places this place offers views on
7. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): person or organization occupying property, used by
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): where the item was located when discovered, significant place
9. adjacent building, also known as next to, neighboring building, located next to, adjoining building (wd:P3032 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): building adjacent to the item, connects with
10. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): coordinates of the place depicted in the work (or Commons image)

[Assistant]
The property "significant place" (wd:P7153) seems to be the most relevant for identifying notable places or attractions in Phoenix. Let's use this property to find the points of interest in Phoenix, Arizona.

We will construct a SPARQL query to retrieve the significant places in Phoenix, Arizona.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the property "significant place" (wd:P7153) did not yield any results for Phoenix, Arizona. Let's try another approach by looking for properties that might be more commonly used for identifying points of interest, such as "located in the administrative territorial entity" (wdt:P131) or "instance of" (wdt:P31).

We can also search for specific types of points of interest, such as landmarks, parks, museums, etc. Let's start by searching for landmarks in Phoenix, Arizona.

First, let's find the entity for "landmark" and then use it to find landmarks in Phoenix.

[Tool]
Top 10 entity alternatives:
1. landmark (wd:Q4895393): recognizable natural or artificial feature used for navigation. For architectural landmarks use Q2319498
2. Landmark, also known as Landmark, AR, Landmark, Arkansas (wd:Q2449282): census-designated place in Pulaski County, Arkansas
3. LANDMARK, also known as The Landmark, The Lankmark (wd:Q8015602): commercial complex in Hong Kong
4. architectural landmark, also known as landmark, landmark building, POI, POI: architecture, point of interest (wd:Q2319498): geographic feature or building, that is easily recognizable and/or well known
5. Landmark (wd:Q4391050): 2012 studio album by Asian Kung-Fu Generation
6. Skobelev Brothers' Mill, also known as Landmark (wd:Q111972869): A mill built in 1903-1909 in Baku by the representatives of the Molokan community, the brothers Sergei and Ivan Skobelev.
7. Landmark (wd:Q16999085): 2016 video game
8. Landmark (wd:Q27995184): human settlement in Missouri, United States of America
9. Landmark (wd:Q6484748): album by Salyu
10. Landmark, also known as The Landmark (wd:Q39070400): department store and supermarket chain in the Philippines

[Assistant]
The entity for "architectural landmark" (wd:Q2319498) seems to be the most relevant for our purpose. Let's use this entity to find landmarks in Phoenix, Arizona.

We will construct a SPARQL query to retrieve landmarks in Phoenix, Arizona by checking if they are instances of "architectural landmark" and are located in Phoenix, Arizona.

Let's execute the query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that there are no results for landmarks in Phoenix, Arizona using the "architectural landmark" (wd:Q2319498) and "located in the administrative territorial entity" (wdt:P131) properties. Let's try a different approach by searching for specific types of points of interest, such as parks, museums, and other notable places.

We can use the "instance of" (wdt:P31) property to find entities that are instances of these specific types and then check if they are located in Phoenix, Arizona.

Let's start by searching for parks and museums in Phoenix, Arizona.

First, let's find the entities for "park" and "museum" and then use them in our query.

[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 entity for "park" (wd:Q22698) seems to be the most relevant. Now, let's find the entity for "museum" and then use both entities to find parks and museums in Phoenix, Arizona.

Let's search for the entity for "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 entity for "museum" (wd:Q33506) is the most relevant. Now, let's construct a SPARQL query to find parks and museums in Phoenix, Arizona by checking if they are instances of "park" (wd:Q22698) or "museum" (wd:Q33506) and are located in Phoenix, Arizona.

Here is the SPARQL query:

```sparql
SELECT ?place WHERE {
  ?place wdt:P31/wdt:P279* wd:Q22698 ;
         wdt:P131 wd:Q16556 .
  UNION
  ?place wdt:P31/wdt:P279* wd:Q33506 ;
         wdt:P131 wd:Q16556 .
}
```

This query will find places that are instances of parks or museums (including their subclasses) and are located in Phoenix, Arizona.

Let's execute the query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 80 for token UNION with content 'UNION' (the input most likely does not follow the grammar)

[Assistant]
It looks like there was a syntax error in the SPARQL query due to the use of `UNION` in the middle of the pattern. Let's correct the query by separating the patterns into two separate blocks and using `UNION` correctly.

Here is the corrected SPARQL query:

```sparql
SELECT ?place WHERE {
  { ?place wdt:P31/wdt:P279* wd:Q22698 ; wdt:P131 wd:Q16556 }
  UNION
  { ?place wdt:P31/wdt:P279* wd:Q33506 ; wdt:P131 wd:Q16556 }
}
```

This query will find places that are instances of parks or museums (including their subclasses) and are located in Phoenix, Arizona.

Let's execute the query again.

[Tool]
Got 17 rows and 1 column, showing the first 5 and last 5 rows below:
| place                                                    |
| -------------------------------------------------------- |
| Wesley Bolin Memorial Plaza (wd:Q7983851)                |
| Moon Valley Park (wd:Q49528056)                          |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) |
| South Mountain Park (wd:Q7567997)                        |
| Papago Park (wd:Q7132387)                                |
| ...                                                      |
| Shemer Art Center and Museum (wd:Q16900026)              |
| Arizona Street Railway Museum (wd:Q4791443)              |
| Martin Auto Museum (wd:Q28403329)                        |
| Phoenix Art Museum (wd:Q977015)                          |
| Children's Museum of Phoenix (wd:Q30278626)              |

[Assistant]
The query has successfully returned a list of parks and museums in Phoenix, Arizona. Here are some of the notable places:

- **Wesley Bolin Memorial Plaza** (wd:Q7983851)
- **Moon Valley Park** (wd:Q49528056)
- **Phoenix Carnegie Library and Library Park** (wd:Q24693348)
- **South Mountain Park** (wd:Q7567997)
- **Papago Park** (wd:Q7132387)
- **Shemer Art Center and Museum** (wd:Q16900026)
- **Arizona Street Railway Museum** (wd:Q4791443)
- **Martin Auto Museum** (wd:Q28403329)
- **Phoenix Art Museum** (wd:Q977015)
- **Children's Museum of Phoenix** (wd:Q30278626)

These are some of the places you can visit in Phoenix, Arizona.

Let's finalize the answer with the SPARQL query and the list of places.

```sparql
SELECT ?place WHERE {
  { ?place wdt:P31/wdt:P279* wd:Q22698 ; wdt:P131 wd:Q16556 }
  UNION
  { ?place wdt:P31/wdt:P279* wd:Q33506 ; wdt:P131 wd:Q16556 }
}
```

Here are some notable places to see in Phoenix, Arizona:
- Wesley Bolin Memorial Plaza
- Moon Valley Park
- Phoenix Carnegie Library and Library Park
- South Mountain Park
- Papago Park
- Shemer Art Center and Museum
- Arizona Street Railway Museum
- Martin Auto Museum
- Phoenix Art Museum
- Children's Museum of Phoenix

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves notable places to visit in Phoenix, Arizona, including parks and museums. The results are relevant and provide a good overview of attractions in the city.


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 examples.

[Tool]
Example 1:
Question:
which province is calgary canada in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q36312 wdt:P131 ?x .
}

Using entities:
Calgary, also known as Calgary, AB, Calgary, Alberta, Calgary, Canada, City of Calgary (wd:Q36312): largest city in Alberta, Canada

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

Example 2:
Question:
when was reagan inaugurated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q9960 p:P39 ?y .
  ?y ps:P39 wd:Q11696 ; pq:P580 ?x .
}

Using entities:
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Ronald Reagan, also known as Ronald W Reagan, Ronald W. Reagan, R. W. Reagan, President Reagan, President Ronald Reagan (wd:Q9960): president of the United States from 1981 to 1989 and actor, television actor, military officer, character actor, game show host, autobiographer, anti-communist, trade unionist, art collector, statesperson, screenwriter, voice actor, film actor, politician, announcer, lifeguard, diarist, actor

Using properties:
position held, also known as function, held position, holds position, job, office held (wd:P39 as ps/p): subject currently or formerly holds the object position or public office
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time

Example 3:
Question:
when was the last superbowl win for the steelers?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q32096 ; wdt:P1346 wd:Q191477 ; wdt:P585 ?x .
}
ORDER BY DESC ( ?x )
LIMIT 1

Using entities:
Pittsburgh Steelers, also known as Pittsburgh Pirates, Rooneymen, Steelers (wd:Q191477): professional American football team based in Pittsburgh, Pennsylvania
Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
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)
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)

[Assistant] Based on the examples, we need to identify the entity Kevin Jonas and then find out who he is married to. Let's first search for Kevin Jonas in the knowledge graph.

[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 the first one, `wd:Q210172`. Now let's find out who he is married to. We need to look for a property that indicates marriage or spouse.

I will search for the property "spouse" or "married to".

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The property for "spouse" is `wdt:P26`. Now I will construct a simple SPARQL query to find out who Kevin Jonas is married to.

```sparql
SELECT ?spouse WHERE {
  wd:Q210172 wdt:P26 ?spouse .
}
```

Let's execute this query.

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

[Assistant]
The SPARQL query successfully returned the spouse of Kevin Jonas. He is married to Danielle Jonas (wd:Q50526598).

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 ?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 examples.

[Tool]
Example 1:
Question:
who did hera marry?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38012 wdt:P26 ?x .
}

Using entities:
Hera (wd:Q38012): Greek goddess, wife and sister of Zeus

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 films have johnny depp been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q37175 ; wdt:P31 / wdt:P279 * wd:Q11424 .
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Johnny Depp, also known as John Christopher "Johnny" Depp II, John Christopher Depp, John Christopher Depp II, John Depp, John C. Depp II (wd:Q37175): American actor (born 1963), television actor, nightclub owner, film director, film producer, screenwriter, voice actor, film actor, guitarist, musician, actor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
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 currency do you use in costa rica?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q800 wdt:P38 ?x .
}

Using entities:
Costa Rica, also known as Republic of Costa Rica, CRI, cr, CRC, 🇨🇷 (wd:Q800): country in Central America

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

[Assistant] Based on the examples, we need to identify the entity for Bruce Lee and the property for cause of death. Let's start by searching for 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`. Next, let's search for the property that represents the cause of death.

[Tool]
Top 10 property alternatives:
1. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
2. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
3. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
4. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): total (cumulative) number of people who died since start as a direct result of an event or cause
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): dissolved, abolished or demolished date, date on which the subject died, end time
6. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
7. death rate, also known as mortality rate (wd:P10091 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the total number of persons dead per 1,000 population per year
8. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): person or organization who killed the subject, significant person
9. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): effect of this item, followed by
10. category for deaths in this time period (wd:P12687 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): category item for people who died in this time period, point in time

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

```sparql
SELECT ?causeOfDeath WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
}
```

Let's execute this query.

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

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

Here is the final SPARQL query and answer:

```sparql
SELECT ?causeOfDeath WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
}
```

Answer: The cause of death for Bruce Lee was cerebral edema.

[Tool] Stopped generation process

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


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 ?name ?dateOfBirth ?placeOfBirth ?countryOfCitizenship WHERE {
  wd:Q133622 rdfs:label ?name .
  FILTER ( LANG( ?name ) = "en" ) wd:Q133622 wdt:P569 ?dateOfBirth .
  wd:Q133622 wdt:P19 ?placeOfBirth .
  wd:Q133622 wdt:P27 ?countryOfCitizenship .
}

Thor Heyerdahl was a Norwegian anthropologist and adventurer. He was born on October 6, 1914, 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 examples.

[Tool]
Example 1:
Question:
what country did the zulu live in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q10179 wdt:P17 ?x .
}

Using entities:
Zulu, also known as isiZulu, Zulu language, zu, zul (wd:Q10179): Nguni language of eastern South Africa and neighbouring countries

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

Example 2:
Question:
where did jane goodall go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q184746 wdt:P69 ?x .
}

Using entities:
Jane Goodall, also known as Valerie Jane Morris-Goodall, Baroness Jane van Lawick-Goodall, Dame Jane Morris Goodall, Dame Jane Goodall (wd:Q184746): English primatologist and anthropologist (born 1934), ethologist, activist

Using properties:
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 3:
Question:
where is canadian county oklahoma?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q486614 wdt:P131 ?x .
}

Using entities:
Canadian County, also known as Canadian County, OK, Canadian County, Oklahoma (wd:Q486614): county in Oklahoma, 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

[Assistant] Now that we've seen some examples, let's search for 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] Based on the search results, it seems that the first option, Thor Heyerdahl (wd:Q133622), is the correct entity. Let's list the triples associated with this entity to gather more information about him.

[Tool]
Got 810 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                         | object                                                                 |
| --------------------------- | -------------------------------- | ---------------------------------------------------------------------- |
| Thor Heyerdahl (wd:Q133622) | instance of (wdt:P31)            | human (wd:Q5)                                                          |
| Thor Heyerdahl (wd:Q133622) | occupation (wdt:P106)            | writer (wd:Q36180)                                                     |
| Thor Heyerdahl (wd:Q133622) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                     |
| Thor Heyerdahl (wd:Q133622) | given name (wdt:P735)            | Thor (wd:Q2428812)                                                     |
| Thor Heyerdahl (wd:Q133622) | date of birth (wdt:P569)         | 1914-10-06T00:00:00Z (xsd:dateTime)                                    |
| Thor Heyerdahl (wd:Q133622) | Commons category (wdt:P373)      | Thor Heyerdahl                                                         |
| Thor Heyerdahl (wd:Q133622) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/ThorHeyerdahl.jpg> |
| Thor Heyerdahl (wd:Q133622) | country of citizenship (wdt:P27) | Norway (wd:Q20)                                                        |
| Thor Heyerdahl (wd:Q133622) | family name (wdt:P734)           | Heyerdahl (wd:Q21508246)                                               |
| Thor Heyerdahl (wd:Q133622) | place of birth (wdt:P19)         | Larvik (wd:Q156125)                                                    |
| ...                         | ...                              | ...                                                                    |

[Assistant]
From the triples, we can see that Thor Heyerdahl was a Norwegian anthropologist and adventurer. He was born on October 6, 1914, in Larvik, Norway. His occupations included being a writer, marine biologist, anthropologist, world traveler, archaeologist, film director, ethnographer, screenwriter, researcher, adventurer, historian, traveler, and explorer.

To provide a concise answer, let's construct a SPARQL query to retrieve his main details such as his name, date of birth, place of birth, and country of citizenship.

Here is the SPARQL query:

```sparql
SELECT ?name ?dateOfBirth ?placeOfBirth ?countryOfCitizenship
WHERE {
  wd:Q133622 rdfs:label ?name .
  wd:Q133622 wdt:P569 ?dateOfBirth .
  wd:Q133622 wdt:P19 ?placeOfBirth .
  wd:Q133622 wdt:P27 ?countryOfCitizenship .
}
```

Let's execute this query to get the details.

[Tool]
Got 93 rows and 4 columns, showing the first 5 and last 5 rows below:
| name                 | dateOfBirth                         | placeOfBirth        | countryOfCitizenship |
| -------------------- | ----------------------------------- | ------------------- | -------------------- |
| Thor Heyerdahl (af)  | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| Thor Heyerdahl (ast) | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| Thor Heyerdahl (bs)  | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| Thor Heyerdahl (ca)  | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| Thor Heyerdahl (cs)  | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| ...                  | ...                                 | ...                 | ...                  |
| 托尔·海尔达尔 (zh-hans)    | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| 托尔·海尔达尔 (zh-sg)      | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| 托爾·海爾達爾 (zh-hant)    | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| 托爾·海爾達爾 (zh-hk)      | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |
| 托爾·海爾達爾 (zh-tw)      | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |

[Assistant]
The query returned multiple rows with different language labels for Thor Heyerdahl's name. To simplify the answer, we can limit the results to a single row by specifying a preferred language, such as English.

Let's modify the query to include a filter for the English label:

```sparql
SELECT ?name ?dateOfBirth ?placeOfBirth ?countryOfCitizenship
WHERE {
  wd:Q133622 rdfs:label ?name .
  FILTER(LANG(?name) = "en")
  wd:Q133622 wdt:P569 ?dateOfBirth .
  wd:Q133622 wdt:P19 ?placeOfBirth .
  wd:Q133622 wdt:P27 ?countryOfCitizenship .
}
```

Let's execute this updated query.

[Tool]
Got 1 row and 4 columns:
| name                | dateOfBirth                         | placeOfBirth        | countryOfCitizenship |
| ------------------- | ----------------------------------- | ------------------- | -------------------- |
| Thor Heyerdahl (en) | 1914-10-06T00:00:00Z (xsd:dateTime) | Larvik (wd:Q156125) | Norway (wd:Q20)      |

[Assistant]
The query has successfully returned the details of Thor Heyerdahl in English. Here is the final answer:

Thor Heyerdahl was a Norwegian anthropologist and adventurer. He was born on October 6, 1914, in Larvik, Norway.

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

```sparql
SELECT ?name ?dateOfBirth ?placeOfBirth ?countryOfCitizenship
WHERE {
  wd:Q133622 rdfs:label ?name .
  FILTER(LANG(?name) = "en")
  wd:Q133622 wdt:P569 ?dateOfBirth .
  wd:Q133622 wdt:P19 ?placeOfBirth .
  wd:Q133622 wdt:P27 ?countryOfCitizenship .
}
```

Answer: Thor Heyerdahl was a Norwegian anthropologist and adventurer. He was born on October 6, 1914, in Larvik, Norway.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. It provides the name, date of birth, place of birth, and country of citizenship for Thor Heyerdahl. The SPARQL query is well-formed and follows all the rules.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q34086 wdt:P19 ?birthPlace .
  ?birthPlace wdt:P17 ?country .
}

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

Justin Bieber comes from 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 examples.

[Tool]
Example 1:
Question:
what 3 countries does mexico border?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q96 wdt:P47 ?x .
}
LIMIT 3

Using entities:
Mexico, also known as US of M, United Mexican States, MXN, MX, Mexican United States (wd:Q96): country in North America

Using properties:
shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.

Example 2:
Question:
what money do they use in chile?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q298 wdt:P38 ?x .
}

Using entities:
Chile, also known as cl, Republic of Chile, CHI, República de Chile, CL (wd:Q298): country in South America

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 3:
Question:
who did elton john marry first?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q2808 p:P26 ?p .
  ?p ps:P26 ?x ; pq:P580 ?y .
}
ORDER BY ?y
LIMIT 1

Using entities:
Elton John, also known as Reggie Dwight, Rockaday Johnnie, Reg Dwight, Prince Rhino, Sir Elton Hercules John (wd:Q2808): British singer, songwriter and musician, HIV/AIDS activist, recording artist, keyboardist, film actor, composer, musician, lyricist, pianist, singer

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as ps/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time

[Assistant] Based on the examples, we need to identify the entity for Justin Bieber and the property for the country of origin. Let's start by searching for the entity Justin Bieber.

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

[Assistant] The correct entity for Justin Bieber is `wd:Q34086`. Next, let's find the property that represents the country of origin or place of birth.

[Tool]
Top 10 property alternatives:
1. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): location where a group or organization was formed, location of creation
3. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): place where the item was conceived or made; where applicable, location of final assembly, significant place
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): time when an entity begins to exist; for date of official opening use P1619, start time
5. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)
6. derived from organism type, also known as derived from organism of taxon, originated from individual of taxon, taxon of origin (wd:P9072 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the taxon that the organism from which the subject cell line was...cause cell lines are derived only once from a single individual)
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): place where a statement is valid, applies to part
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the object is a country that recognizes the subject as its citizen, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): most specific known birth location of a person, animal or fictional character, location

[Assistant]
The property for the country of origin or place of birth is `wdt:P19` (place of birth). Now, let's construct a SPARQL query to find the country where Justin Bieber was born.

```sparql
SELECT ?country WHERE {
  wd:Q34086 wdt:P19 ?birthPlace .
  ?birthPlace wdt:P17 ?country .
}
```

This query will find the place of birth of Justin Bieber and then the country where that place is located. Let's execute this query.

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

[Assistant]
The SPARQL query successfully returned the country where Justin Bieber was born. Justin Bieber comes from Canada.

Here is the final SPARQL query and answer:

```sparql
SELECT ?country WHERE {
  wd:Q34086 wdt:P19 ?birthPlace .
  ?birthPlace wdt:P17 ?country .
}
```

Answer: Justin Bieber comes from Canada.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Justin Bieber's place of birth and the country associated with that place, which is Canada.