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

Laos is located at approximately 104.1 degrees east longitude and 18.2 degrees north latitude.

[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]
To answer the question "Where is Laos in the world map?", we need to find the geographic location of Laos. We can start by searching for the entity representing Laos in the knowledge graph.

Let's search for the entity "Laos" in Wikidata.

[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 top result for "Laos" is the country in Southeast Asia, which is represented by the entity `wd:Q819`.

Next, we need to find the geographic coordinates of Laos. We can look for the property that represents the geographic location or coordinates of a place.

Let's search for the property "coordinates" in Wikidata.

[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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): property linking a map to a place named on it

[Assistant]
The top result for "coordinates" is the property `coordinate location` (wd:P625), which provides the geographic coordinates of a place.

Now, let's construct a SPARQL query to retrieve the geographic 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) |

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

Here is the final SPARQL query and the answer to the question:

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

Answer: Laos is located at approximately 104.1 degrees east longitude and 18.2 degrees north latitude.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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         |

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] To answer the question "Where did Charles Darwin die?", we need to identify the entity for Charles Darwin and then find the property that indicates his place of death. Let's start by searching for Charles Darwin in the knowledge graph.

[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 for Charles Darwin is `wd:Q1035`, which corresponds to the English naturalist and biologist. Next, we need to find the property that indicates the place of death. Let's search for the property related to "place of death" for this entity.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
6. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
7. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
10. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as p/wdt): person linked to the item in any possible way

No other items found

[Assistant]
The property for the place of death is `wdt:P20`. Now, let's construct a SPARQL query to find the place of death for Charles Darwin (`wd:Q1035`).

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

Let's execute this query to get the result.

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

[Assistant]
The place of death for Charles Darwin is Down House, which is represented by the IRI `wd:Q3038318`.

To provide a more complete answer, we can also include the label of the place of death. Let's modify the query to include the label of the place of death.

```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         |

[Assistant]
The place of death for Charles Darwin is Down House, which is represented by the IRI `wd:Q3038318`.

Now, let's provide the final answer to the user question.

```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


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?place ?placeLabel WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place rdfs:label ?placeLabel .
  FILTER ( LANG( ?placeLabel ) = "en" ) FILTER ( CONTAINS( LCASE( ?placeLabel ) , "park" ) || CONTAINS( LCASE( ?placeLabel ) , "museum" ) || CONTAINS( LCASE( ?placeLabel ) , "historical" ) || CONTAINS( LCASE( ?placeLabel ) , "building" ) || CONTAINS( LCASE( ?placeLabel ) , "attraction" ) )
}
LIMIT 10

Got 10 rows and 2 columns:
| ?place                                                          | ?placeLabel                                     |
| --------------------------------------------------------------- | ----------------------------------------------- |
| Riverside Park Ballroom (wd:Q108800000)                         | Riverside Park Ballroom                         |
| City of Phoenix Parks and Recreation Department (wd:Q126963982) | City of Phoenix Parks and Recreation Department |
| Shemer Art Center and Museum (wd:Q16900026)                     | Shemer Art Center and Museum                    |
| Security Building (wd:Q16933880)                                | Security Building                               |
| Wells Fargo History Museum (wd:Q18325619)                       | Wells Fargo History Museum                      |
| Papago Park Military Reservation (wd:Q23014322)                 | Papago Park Military Reservation                |
| Phoenix Carnegie Library and Library Park (wd:Q24693348)        | Phoenix Carnegie Library and Library Park       |
| Martin Auto Museum (wd:Q28403329)                               | Martin Auto Museum                              |
| Children's Museum of Phoenix (wd:Q30278626)                     | Children's Museum of Phoenix                    |
| Mountain Park Health Center (wd:Q30287899)                      | Mountain Park Health Center                     |

Some notable places to see in Phoenix, Arizona, include:
- **Riverside Park Ballroom**
- **City of Phoenix Parks and Recreation Department**
- **Shemer Art Center and Museum**
- **Security Building**
- **Wells Fargo History Museum**
- **Papago Park Military Reservation**
- **Phoenix Carnegie Library and Library Park**
- **Martin Auto Museum**
- **Children's Museum of Phoenix**
- **Mountain Park Health Center**
These places offer a variety of experiences, from historical sites to cultural attractions and recreational areas.

[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] To answer the question "What to see in Phoenix, Arizona?", we need to identify notable landmarks, tourist attractions, or points of interest in Phoenix, Arizona. Let's start by searching for the entity representing Phoenix, Arizona, in the knowledge graph.

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

[Assistant]
The top result for "Phoenix, Arizona" is `wd:Q16556`, which represents the city itself. Next, we need to find properties that can help us identify notable landmarks, tourist attractions, or points of interest in Phoenix. We can search for properties related to "landmark," "attraction," or "point of interest."

Let's start by searching for properties related to "landmark" and "attraction."

[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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): significant or notable places associated with the subject, location
2. 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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
3. Chicago Landmarks ID, also known as Chicago Landmark (wd:P7958 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): identifier for a protected property on the Chicago Landmarks website
4. New York City Landmarks Preservation Commission ID, also known as NYC Landmark ID, NYCL ID, NYCLPC ID (wd:P4273 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): landmarks designated by the New York City Landmarks Preservation Commission
5. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): things, places this place offers views on
6. appears in the heritage monument list (wd:P2817 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): heritage monument is a part of the list of heritage monuments
7. heritage designation, also known as legal protection, protection, protected status, listing, listed status (wd:P1435 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): heritage designation of a cultural or natural site, has part(s), instance of
8. located on linear feature (wd:P795 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): linear feature along which distance is specified from a specified datum point
9. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): subject's ordinal position as qualitatively evaluated relative to other members of a group
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Tool]
Top 10 property alternatives:
1. attraction to (wd:P8824 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): sexual attraction or arousal arising from an entity
2. visited by, also known as organisms attracted, wildlife visitors, wildlife attracted, wildlife associations, wildlife association (wd:P11801 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): organisms attracted by this plant taxon and reported to visit it
3. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): things, places this place offers views on
4. 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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
5. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): number of passengers, patrons or visitors in specified time period
6. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): item of special or vested interest to this person or organisation
7. advertises, also known as campaigns for, promotes (wd:P6291 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): cause, organization or product targeted by the advertising campaign, character, jingle or slogan, main subject
8. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): item with which the item is physically connected, physically interacts with
9. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): entity that a transferred item comes to be associated with as a result of this process
10. towards, also known as destination, final station, in the direction of, last stop, terminating station (wd:P5051 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): qualifier for "adjacent station" (P197) to indicate the terminal station(s) of a transportation line or service in that direction

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

We will construct a SPARQL query to find entities that are significant places located in Phoenix, Arizona (`wd:Q16556`).

Here is the initial SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P7153 wd:Q16556 .
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = "en") }
}
```

Let's execute this query to see the results.

[Tool]
Got 7 rows and 2 columns:
| ?place                                                    | ?placeLabel                               |
| --------------------------------------------------------- | ----------------------------------------- |
| Phoenix–Mesa–Scottsdale urban area (wd:Q125810971)        | Phoenix–Mesa–Scottsdale urban area        |
| Phoenix West–Goodyear–Avondale urban area (wd:Q125810972) | Phoenix West–Goodyear–Avondale urban area |
| Hells Canyon Wilderness (wd:Q14680392)                    | Hells Canyon Wilderness                   |
| Sonoran Desert National Monument (wd:Q2302359)            | Sonoran Desert National Monument          |
| Big Horn Mountains Wilderness (wd:Q27974598)              | Big Horn Mountains Wilderness             |
| Phoenix metropolitan area (wd:Q3290452)                   | Phoenix metropolitan area                 |
| Agua Fria National Monument (wd:Q397726)                  | Agua Fria National Monument               |

[Assistant]
The initial query returned some results, but they seem to be broader areas rather than specific landmarks or tourist attractions within Phoenix, Arizona. We need to refine our approach to find more specific points of interest.

Let's try another property that might be more suitable for finding tourist attractions. The property `wdt:P131` (located in the administrative territorial entity) can help us find entities that are located within Phoenix, Arizona. We can then filter these entities to find those that are classified as tourist attractions or landmarks.

Here is the refined SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place wdt:P31 wd:Q117466764 .  # Instance of tourist attraction
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = "en") }
}
```

Let's execute this query to see the results.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that there might not be any entities directly classified as tourist attractions (`wd:Q117466764`) located in Phoenix, Arizona. We need to broaden our search criteria to include other types of landmarks or points of interest.

Let's try a more general approach by looking for entities that are located in Phoenix, Arizona, and are instances of various types of landmarks or attractions, such as parks, museums, historical sites, and buildings.

Here is the updated SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place wdt:P31 ?type .
  VALUES ?type {
    wd:Q117466764  # Tourist attraction
    wd:Q500894     # Park
    wd:Q33599      # Museum
    wd:Q117466764  # Historical site
    wd:Q41171      # Building
  }
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = "en") }
}
LIMIT 10
```

Let's execute this query to see the results.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even with a broader set of types, the query did not return any results. This suggests that the specific types we are using might not be the best fit for finding tourist attractions in Phoenix, Arizona.

Let's try a different approach by searching for entities that are located in Phoenix, Arizona, and are commonly known as tourist attractions or landmarks. We can use the property `wdt:P180` (depicts) to find entities that are depicted in images or descriptions, which often indicates they are notable or significant.

Here is the updated SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place wdt:P180 ?depiction .
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = "en") }
}
LIMIT 10
```

Let's execute this query to see the results.

[Tool]
Got 5 rows and 2 columns:
| ?place                                                                             | ?placeLabel                                                         |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Scorpion (wd:Q20816782)                                                            | Scorpion                                                            |
| The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 (wd:Q56248836) | The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 |
| The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 (wd:Q56248836) | The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 |
| The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 (wd:Q56248836) | The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 |
| The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 (wd:Q56248836) | The View of Phoenix's Urban Spra... Mountain in Background , 6/1972 |

[Assistant]
The query returned some results, but they are not the specific landmarks or tourist attractions we are looking for. It seems that the property `wdt:P180` (depicts) is not the best fit for this purpose.

Let's try a different approach by searching for entities that are located in Phoenix, Arizona, and are instances of more specific types of landmarks, such as parks, museums, historical sites, and buildings. We can also include properties like `wdt:P31` (instance of) and `wdt:P131` (located in the administrative territorial entity) to filter the results more effectively.

Here is the updated SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place wdt:P31 ?type .
  VALUES ?type {
    wd:Q500894  # Park
    wd:Q33599   # Museum
    wd:Q117466764  # Tourist attraction
    wd:Q41171   # Building
    wd:Q117466764  # Historical site
  }
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = "en") }
}
LIMIT 10
```

Let's execute this query to see the results.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even with a more specific set of types, the query did not return any results. This suggests that the specific types we are using might not be the best fit for finding tourist attractions in Phoenix, Arizona.

Let's try a different approach by searching for entities that are located in Phoenix, Arizona, and are commonly known as tourist attractions or landmarks. We can use the property `wdt:P131` (located in the administrative territorial entity) and look for entities that have a label indicating they are tourist attractions or landmarks.

Here is the updated SPARQL query:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place rdfs:label ?placeLabel .
  FILTER(LANG(?placeLabel) = "en")
  FILTER(CONTAINS(LCASE(?placeLabel), "park") || CONTAINS(LCASE(?placeLabel), "museum") || CONTAINS(LCASE(?placeLabel), "historical") || CONTAINS(LCASE(?placeLabel), "building") || CONTAINS(LCASE(?placeLabel), "attraction"))
}
LIMIT 10
```

Let's execute this query to see the results.

[Tool]
Got 10 rows and 2 columns:
| ?place                                                          | ?placeLabel                                     |
| --------------------------------------------------------------- | ----------------------------------------------- |
| Riverside Park Ballroom (wd:Q108800000)                         | Riverside Park Ballroom                         |
| City of Phoenix Parks and Recreation Department (wd:Q126963982) | City of Phoenix Parks and Recreation Department |
| Shemer Art Center and Museum (wd:Q16900026)                     | Shemer Art Center and Museum                    |
| Security Building (wd:Q16933880)                                | Security Building                               |
| Wells Fargo History Museum (wd:Q18325619)                       | Wells Fargo History Museum                      |
| Papago Park Military Reservation (wd:Q23014322)                 | Papago Park Military Reservation                |
| Phoenix Carnegie Library and Library Park (wd:Q24693348)        | Phoenix Carnegie Library and Library Park       |
| Martin Auto Museum (wd:Q28403329)                               | Martin Auto Museum                              |
| Children's Museum of Phoenix (wd:Q30278626)                     | Children's Museum of Phoenix                    |
| Mountain Park Health Center (wd:Q30287899)                      | Mountain Park Health Center                     |

[Assistant]
The query returned a list of notable places in Phoenix, Arizona, including parks, museums, historical sites, and buildings. These results provide a good starting point for what to see in Phoenix.

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?place ?placeLabel
WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place rdfs:label ?placeLabel .
  FILTER(LANG(?placeLabel) = "en")
  FILTER(CONTAINS(LCASE(?placeLabel), "park") || CONTAINS(LCASE(?placeLabel), "museum") || CONTAINS(LCASE(?placeLabel), "historical") || CONTAINS(LCASE(?placeLabel), "building") || CONTAINS(LCASE(?placeLabel), "attraction"))
}
LIMIT 10
```

### Answer:
Some notable places to see in Phoenix, Arizona, include:
- **Riverside Park Ballroom**
- **City of Phoenix Parks and Recreation Department**
- **Shemer Art Center and Museum**
- **Security Building**
- **Wells Fargo History Museum**
- **Papago Park Military Reservation**
- **Phoenix Carnegie Library and Library Park**
- **Martin Auto Museum**
- **Children's Museum of Phoenix**
- **Mountain Park Health Center**

These places offer a variety of experiences, from historical sites to cultural attractions and recreational areas.

[Tool] Stopped generation process


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

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] To answer the question "Who is Kevin Jonas married to?", we need to identify Kevin Jonas and then find his spouse. Let's start by searching 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 top result for "Kevin Jonas" is Paul Kevin Jonas II (wd:Q210172), who is the American singer, actor, and musician. Now, let's find out who he is married to by looking for the property that indicates marriage or spouse.

I will search for the property related to "spouse" to ensure we use the correct property.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The top result for the property "spouse" is wd:P26. This property is used to indicate the spouse of a person. Now, let's use this property to find out who Kevin Jonas is married to.

I will execute a SPARQL query to retrieve the spouse of Kevin Jonas (wd:Q210172).

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

[Assistant]
The SPARQL query returned that Kevin Jonas is married to Danielle Jonas (wd:Q50526598).

Therefore, the answer to the question "Who is Kevin Jonas married to?" is Danielle Jonas.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?causeOfDeath ?causeOfDeathLabel WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel .
    FILTER ( LANG( ?causeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?causeOfDeath               | ?causeOfDeathLabel |
| --------------------------- | ------------------ |
| cerebral edema (wd:Q979168) | cerebral edema     |

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] To find the cause of death for Bruce Lee, we need to identify the entity for Bruce Lee and then look for the property that indicates the cause of death. Let's start by searching for the entity representing Bruce Lee in the knowledge graph.

[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 top result is the correct entity for Bruce Lee, which is `wd:Q16397`. Now, let's find the property that indicates the cause of death. We can search for properties related to "cause of death" and see if it applies to Bruce Lee.

[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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): effect of this item, followed by
10. category for deaths in this time period (wd:P12687 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): category item for people who died in this time period, point in time

[Assistant]
The property `wd:P509` (cause of death) is the one we need. Now, let's construct a SPARQL query to find the cause of death for Bruce Lee (`wd:Q16397`).

Here is the initial SPARQL query:

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

Let's execute this query to see the result.

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

[Assistant]
The cause of death for Bruce Lee is listed as "cerebral edema" (wd:Q979168). To provide a more complete answer, we can include the label of the cause of death in the query. Here is the refined SPARQL query:

```sparql
SELECT ?causeOfDeath ?causeOfDeathLabel
WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
  OPTIONAL { ?causeOfDeath rdfs:label ?causeOfDeathLabel . FILTER(LANG(?causeOfDeathLabel) = "en") }
}
```

Let's execute this query to get the label as well.

[Tool]
Got 1 row and 2 columns:
| ?causeOfDeath               | ?causeOfDeathLabel |
| --------------------------- | ------------------ |
| cerebral edema (wd:Q979168) | cerebral edema     |

[Assistant]
The cause of death for Bruce Lee is "cerebral edema" (wd:Q979168).

Here is the final SPARQL query and the answer:

```sparql
SELECT ?causeOfDeath ?causeOfDeathLabel
WHERE {
  wd:Q16397 wdt:P509 ?causeOfDeath .
  OPTIONAL { ?causeOfDeath rdfs:label ?causeOfDeathLabel . FILTER(LANG(?causeOfDeathLabel) = "en") }
}
```

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?occupation ?occupationLabel ?notableWork ?notableWorkLabel ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel .
    FILTER ( LANG( ?occupationLabel ) = "en" )
  }
  wd:Q133622 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
  }
  wd:Q133622 wdt:P1344 wd:Q66666935 .
  BIND( wd:Q66666935 AS ?notableWork ) OPTIONAL {
    ?notableWork rdfs:label ?notableWorkLabel .
    FILTER ( LANG( ?notableWorkLabel ) = "en" )
  }
}

Got 14 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?occupation                    | ?occupationLabel | ?notableWork                       | ?notableWorkLabel   | ?placeOfBirth       | ?placeOfBirthLabel |
| ------------------------------ | ---------------- | ---------------------------------- | ------------------- | ------------------- | ------------------ |
| explorer (wd:Q11900058)        | explorer         | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| ethnographer (wd:Q12347522)    | ethnographer     | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| researcher (wd:Q1650915)       | researcher       | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| world traveler (wd:Q1937330)   | world traveler   | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| historian (wd:Q201788)         | historian        | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| ...                            | ...              | ...                                | ...                 | ...                 | ...                |
| writer (wd:Q36180)             | writer           | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| archaeologist (wd:Q3621491)    | archaeologist    | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| marine biologist (wd:Q3640160) | marine biologist | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| sailor (wd:Q45199)             | sailor           | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| anthropologist (wd:Q4773904)   | anthropologist   | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |

Thor Heyerdahl was a Norwegian anthropologist, explorer, and adventurer. He was born in Larvik, Norway, and had a diverse range of occupations including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist. One of his most notable works is the Kon-Tiki expedition, a research expedition he led to demonstrate the possibility of ancient Polynesian settlement by South American peoples.

[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]
To answer the question "Who is Thor Heyerdahl?", we need to identify the entity representing Thor Heyerdahl in the knowledge graph and then gather relevant information about him, such as his occupation, notable works, and other significant details.

Let's start by searching for the entity "Thor Heyerdahl" in the Wikidata knowledge graph.

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

[Assistant]
The top result for "Thor Heyerdahl" is the Norwegian anthropologist and adventurer Thor Heyerdahl (wd:Q133622). This is the entity we are looking for.

Next, let's gather some basic information about Thor Heyerdahl, such as his occupations, notable works, and other significant details. We can do this by listing the triples associated with this entity.

[Tool]
Got 797 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)         | 1914-01-01T00:00:00Z                                                   |
| 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 list of triples, we can gather the following information about Thor Heyerdahl:

- **Instance of**: Human (wd:Q5)
- **Occupation**: Writer (wd:Q36180)
- **Sex or Gender**: Male (wd:Q6581097)
- **Given Name**: Thor (wd:Q2428812)
- **Date of Birth**: 1914-01-01
- **Country of Citizenship**: Norway (wd:Q20)
- **Family Name**: Heyerdahl (wd:Q21508246)
- **Place of Birth**: Larvik (wd:Q156125)

We can also see that he has other occupations and notable works. Let's refine our query to include more specific information, such as his other occupations and notable works.

Let's construct a SPARQL query to retrieve this information.

```sparql
SELECT ?occupation ?occupationLabel ?notableWork ?notableWorkLabel ?placeOfBirth ?placeOfBirthLabel
WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  OPTIONAL { ?occupation rdfs:label ?occupationLabel . FILTER(LANG(?occupationLabel) = "en") }
  wd:Q133622 wdt:P800 ?notableWork .
  OPTIONAL { ?notableWork rdfs:label ?notableWorkLabel . FILTER(LANG(?notableWorkLabel) = "en") }
  wd:Q133622 wdt:P19 ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel . FILTER(LANG(?placeOfBirthLabel) = "en") }
}
```

This query will retrieve Thor Heyerdahl's occupations, notable works, and place of birth, along with their labels in English.

Let's execute this query.

[Tool] Got no rows and 6 columns

[Assistant]
It seems that the query did not return any results, which is unexpected. Let's break down the query and check each part separately to identify the issue.

First, let's check the occupations of Thor Heyerdahl.

```sparql
SELECT ?occupation ?occupationLabel
WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  OPTIONAL { ?occupation rdfs:label ?occupationLabel . FILTER(LANG(?occupationLabel) = "en") }
}
```

This query will retrieve Thor Heyerdahl's occupations and their labels in English.

Let's execute this query.

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

[Assistant]
The query for Thor Heyerdahl's occupations returned the expected results. He had multiple occupations, including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist.

Next, let's check the notable works of Thor Heyerdahl.

```sparql
SELECT ?notableWork ?notableWorkLabel
WHERE {
  wd:Q133622 wdt:P800 ?notableWork .
  OPTIONAL { ?notableWork rdfs:label ?notableWorkLabel . FILTER(LANG(?notableWorkLabel) = "en") }
}
```

This query will retrieve Thor Heyerdahl's notable works and their labels in English.

Let's execute this query.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that Thor Heyerdahl does not have any notable works listed under the property `P800` (notable work) in Wikidata. This might be because his notable works are listed under different properties or are not directly linked to him in this way.

Let's try another approach to find his notable works. We can look for his publications or expeditions, which are often considered notable works.

We can use the property `P800` (notable work) and also try `P698` (work) and `P1184` (participant of).

```sparql
SELECT ?notableWork ?notableWorkLabel
WHERE {
  VALUES ?property { wdt:P800 wdt:P698 wdt:P1184 }
  wd:Q133622 ?property ?notableWork .
  OPTIONAL { ?notableWork rdfs:label ?notableWorkLabel . FILTER(LANG(?notableWorkLabel) = "en") }
}
```

This query will retrieve Thor Heyerdahl's notable works, publications, and expeditions, along with their labels in English.

Let's execute this query.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that Thor Heyerdahl does not have any notable works, publications, or expeditions listed under the properties `P800` (notable work), `P698` (work), or `P1184` (participant of) in Wikidata. This might be due to the data not being structured in this way or the properties not being used for his notable activities.

Let's try a different approach by searching for his notable works or expeditions directly. We can use the search function to find entities related to Thor Heyerdahl and then check if they are notable works or expeditions.

First, let's search for entities related to Thor Heyerdahl.

```sparql
SELECT ?relatedEntity ?relatedEntityLabel
WHERE {
  wd:Q133622 ?property ?relatedEntity .
  OPTIONAL { ?relatedEntity rdfs:label ?relatedEntityLabel . FILTER(LANG(?relatedEntityLabel) = "en") }
}
LIMIT 10
```

This query will retrieve the first 10 related entities to Thor Heyerdahl and their labels in English.

Let's execute this query.

[Tool]
Got 10 rows and 2 columns:
| ?relatedEntity   | ?relatedEntityLabel |
| ---------------- | ------------------- |
| 5                |                     |
| 000000012103745X |                     |
| 00000005169      |                     |
| 000010736        |                     |
| 0000151459       |                     |
| 000016602        |                     |
| 000030603        |                     |
| 000047124        |                     |
| 000084050        |                     |
| 000101862        |                     |

[Assistant]
The query returned a list of related entities, but they do not seem to be meaningful or labeled in English. This suggests that the direct relationships might not be providing useful information about Thor Heyerdahl's notable works or expeditions.

Let's try a more targeted approach by searching for specific notable works or expeditions that Thor Heyerdahl is known for. For example, the Kon-Tiki expedition is one of his most famous achievements.

We can search for the entity "Kon-Tiki expedition" and then check if it is related to Thor Heyerdahl.

### Step 1: Search for the entity "Kon-Tiki expedition"
Let's search for the entity "Kon-Tiki expedition" in Wikidata.

```json
{
  "name": "search_entity",
  "arguments": {
    "kg": "wikidata",
    "query": "kon-tiki expedition"
  }
}
```

### Step 2: Check if the entity is related to Thor Heyerdahl
Once we have the entity for the Kon-Tiki expedition, we can check if it is related to Thor Heyerdahl.

Let's execute the search for the entity "Kon-Tiki expedition" first.

[Tool]
Top 10 entity alternatives:
1. Kon-Tiki expedition, also known as Kon-Tiki (wd:Q66666935): research expedition by Thor Heyerdahl
2. The Kon-Tiki expedition and telemedicine (wd:Q88012068): scientific article published on 08 May 2017
3. Kon-Tiki (wd:Q204025): raft used by Thor Heyerdahl
4. Kon-Tiki (wd:Q1759619): 2012 film directed by Joachim Rønning and Espen Sandberg
5. Kon-Tiki (wd:Q1758118): 1950 Norwegian documentary film directed by Thor Heyerdahl, 1950 Norwegian film directed by Thor Heyerdahl
6. expedition (wd:Q2401485): discovery or research trip to a remote or undeveloped region
7. Expedition (wd:Q2413618): book by Wayne Barlowe
8. Kon-Tiki (wd:Q6428677): 1961 single by The Shadows
9. Expedition (wd:Q21928716): park in Queensland, Australia
10. Expedition (wd:Q108803765): British slave ship

[Assistant]
The top result for "Kon-Tiki expedition" is the research expedition by Thor Heyerdahl (wd:Q66666935). This is the entity we are looking for.

Next, let's check if this entity is related to Thor Heyerdahl. We can do this by listing the triples where Thor Heyerdahl (wd:Q133622) is the subject and the Kon-Tiki expedition (wd:Q66666935) is the object.

### Step 2: Check if the Kon-Tiki expedition is related to Thor Heyerdahl

```sparql
SELECT ?property ?propertyLabel
WHERE {
  wd:Q133622 ?property wd:Q66666935 .
  OPTIONAL { ?property rdfs:label ?propertyLabel . FILTER(LANG(?propertyLabel) = "en") }
}
```

This query will retrieve the properties that link Thor Heyerdahl to the Kon-Tiki expedition, along with their labels in English.

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| ?property                  | ?propertyLabel |
| -------------------------- | -------------- |
| participant in (wdt:P1344) |                |

[Assistant]
The query shows that Thor Heyerdahl (wd:Q133622) participated in the Kon-Tiki expedition (wd:Q66666935) through the property `P1344` (participant in).

Now, let's combine all the information we have gathered to provide a comprehensive answer to the question "Who is Thor Heyerdahl?".

### Final SPARQL Query

```sparql
SELECT ?occupation ?occupationLabel ?notableWork ?notableWorkLabel ?placeOfBirth ?placeOfBirthLabel
WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  OPTIONAL { ?occupation rdfs:label ?occupationLabel . FILTER(LANG(?occupationLabel) = "en") }
  wd:Q133622 wdt:P19 ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel . FILTER(LANG(?placeOfBirthLabel) = "en") }
  wd:Q133622 wdt:P1344 wd:Q66666935 .
  BIND(wd:Q66666935 AS ?notableWork)
  OPTIONAL { ?notableWork rdfs:label ?notableWorkLabel . FILTER(LANG(?notableWorkLabel) = "en") }
}
```

This query will retrieve Thor Heyerdahl's occupations, place of birth, and the Kon-Tiki expedition as his notable work, along with their labels in English.

Let's execute this final query.

[Tool]
Got 14 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?occupation                    | ?occupationLabel | ?notableWork                       | ?notableWorkLabel   | ?placeOfBirth       | ?placeOfBirthLabel |
| ------------------------------ | ---------------- | ---------------------------------- | ------------------- | ------------------- | ------------------ |
| explorer (wd:Q11900058)        | explorer         | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| ethnographer (wd:Q12347522)    | ethnographer     | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| researcher (wd:Q1650915)       | researcher       | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| world traveler (wd:Q1937330)   | world traveler   | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| historian (wd:Q201788)         | historian        | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| ...                            | ...              | ...                                | ...                 | ...                 | ...                |
| writer (wd:Q36180)             | writer           | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| archaeologist (wd:Q3621491)    | archaeologist    | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| marine biologist (wd:Q3640160) | marine biologist | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| sailor (wd:Q45199)             | sailor           | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |
| anthropologist (wd:Q4773904)   | anthropologist   | Kon-Tiki expedition (wd:Q66666935) | Kon-Tiki expedition | Larvik (wd:Q156125) | Larvik             |

[Assistant]
The final query has successfully retrieved Thor Heyerdahl's occupations, place of birth, and the Kon-Tiki expedition as his notable work, along with their labels in English.

### Summary of Information:
- **Occupations**: Explorer, Ethnographer, Researcher, World Traveler, Historian, Writer, Archaeologist, Marine Biologist, Sailor, Anthropologist
- **Place of Birth**: Larvik, Norway
- **Notable Work**: Kon-Tiki expedition

### Answer to the Question:
Thor Heyerdahl was a Norwegian anthropologist, explorer, and adventurer. He was born in Larvik, Norway, and had a diverse range of occupations including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist. One of his most notable works is the Kon-Tiki expedition, a research expedition he led to demonstrate the possibility of ancient Polynesian settlement by South American peoples.

Here is the final SPARQL query and answer:

```sparql
SELECT ?occupation ?occupationLabel ?notableWork ?notableWorkLabel ?placeOfBirth ?placeOfBirthLabel
WHERE {
  wd:Q133622 wdt:P106 ?occupation .
  OPTIONAL { ?occupation rdfs:label ?occupationLabel . FILTER(LANG(?occupationLabel) = "en") }
  wd:Q133622 wdt:P19 ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel . FILTER(LANG(?placeOfBirthLabel) = "en") }
  wd:Q133622 wdt:P1344 wd:Q66666935 .
  BIND(wd:Q66666935 AS ?notableWork)
  OPTIONAL { ?notableWork rdfs:label ?notableWorkLabel . FILTER(LANG(?notableWorkLabel) = "en") }
}
```

Thor Heyerdahl was a Norwegian anthropologist, explorer, and adventurer. He was born in Larvik, Norway, and had a diverse range of occupations including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist. One of his most notable works is the Kon-Tiki expedition, a research expedition he led to demonstrate the possibility of ancient Polynesian settlement by South American peoples.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?countryOfCitizenship ?countryOfCitizenshipLabel WHERE {
  wd:Q34086 wdt:P27 ?countryOfCitizenship .
  OPTIONAL {
    ?countryOfCitizenship rdfs:label ?countryOfCitizenshipLabel .
    FILTER ( LANG( ?countryOfCitizenshipLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| ?countryOfCitizenship | ?countryOfCitizenshipLabel |
| --------------------- | -------------------------- |
| Canada (wd:Q16)       | Canada                     |

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] To answer the question about Justin Bieber's country of origin, we need to identify the entity for Justin Bieber and then find the property that indicates his place of birth or nationality. Let's start by searching for the entity representing Justin Bieber in the knowledge graph.

[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 top result for Justin Bieber is the correct one: Justin Drew Bieber (wd:Q34086). Now, let's find the property that indicates his place of birth or nationality. We can search for properties related to "birth" or "nationality" for this entity.

Let's start by searching for properties related to "birth" for Justin Bieber.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
8. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
9. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant]
The property "place of birth" (wdt:P19) seems to be the most relevant for finding Justin Bieber's country of origin. Let's execute a SPARQL query to retrieve Justin Bieber's place of birth.

We will also include an optional clause to fetch the label of the place of birth for better readability.

[Tool]
Got 1 row and 2 columns:
| ?placeOfBirth      | ?placeOfBirthLabel |
| ------------------ | ------------------ |
| London (wd:Q92561) | London             |

[Assistant]
It appears that the query returned London as Justin Bieber's place of birth, which is incorrect. Justin Bieber is known to be from Canada. Let's try another approach by checking his country of citizenship (wdt:P27) instead.

I will execute a new SPARQL query to retrieve Justin Bieber's country of citizenship.

[Tool]
Got 1 row and 2 columns:
| ?countryOfCitizenship | ?countryOfCitizenshipLabel |
| --------------------- | -------------------------- |
| Canada (wd:Q16)       | Canada                     |

[Assistant]
The query correctly returned Canada as Justin Bieber's country of citizenship. Therefore, Justin Bieber comes from Canada.

Here is the final SPARQL query and answer:

```sparql
SELECT ?countryOfCitizenship ?countryOfCitizenshipLabel
WHERE {
  wd:Q34086 wdt:P27 ?countryOfCitizenship .
  OPTIONAL { ?countryOfCitizenship rdfs:label ?countryOfCitizenshipLabel . FILTER(LANG(?countryOfCitizenshipLabel) = 'en') }
}
```

Answer: Justin Bieber comes from Canada.

[Tool] Stopped generation process