PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}
LIMIT 10

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

Charles Darwin died at 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?", I need to find the entity for Charles Darwin in Wikidata and then find the property that indicates the place of death. I will start by searching for the entity "Charles Darwin" in Wikidata.

[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 entity for Charles Darwin, the English naturalist and biologist, is wd:Q1035. Next, I will search for the property that indicates the place of death for this entity. I will look for properties related to "place of death" for Charles Darwin (wd:Q1035).

[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 "place of death" is wd:P20. Now I will construct a SPARQL query to get the place of death of Charles Darwin (wd:Q1035) using this property.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death of Charles Darwin using the property wdt:P20. The query returns the identifier and the English label of the place, which is Down House. The answer is accurate and complete, and the query follows best practices by including an optional label retrieval with language filtering. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?place ?placeLabel WHERE {
  {
    ?place wdt:P31 wd:Q33506 ; wdt:P131 wd:Q16556 .
  } UNION {
    ?place wdt:P31 wd:Q22698 ; wdt:P131 wd:Q16556 .
  } UNION {
    ?place wdt:P31 wd:Q839954 ; wdt:P131 wd:Q16556 .
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( LANG( ?placeLabel ) = "en" )
  }
}

Got 10 rows and 2 columns:
| place                                                    | placeLabel                                     |
| -------------------------------------------------------- | ---------------------------------------------- |
| Deer Valley Petroglyph Preserve (wd:Q16242066)           | Deer Valley Petroglyph Preserve (en)           |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum (en)              |
| Wells Fargo History Museum (wd:Q18325619)                | Wells Fargo History Museum (en)                |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park (en) |
| Martin Auto Museum (wd:Q28403329)                        | Martin Auto Museum (en)                        |
| Arizona Science Center (wd:Q4791396)                     | Arizona Science Center (en)                    |
| Arizona Street Railway Museum (wd:Q4791443)              | Arizona Street Railway Museum (en)             |
| Moon Valley Park (wd:Q49528056)                          | Moon Valley Park (en)                          |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park (en)                       |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum (en)                        |

Notable places to see in Phoenix, Arizona include museums such as Shemer Art Center and Museum, Wells Fargo History Museum, Martin Auto Museum, Arizona Science Center, Arizona Street Railway Museum, and Phoenix Art Museum; parks such as Phoenix Carnegie Library and Library Park, Moon Valley Park, and South Mountain Park; and historic sites like Deer Valley Petroglyph Preserve.

[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]
The user is asking for things to see in Phoenix, Arizona. This is a request for notable places or attractions located in Phoenix, Arizona.

Step 1: Identify the entity "Phoenix, Arizona" in Wikidata.
Step 2: Identify properties related to "notable places," "tourist attractions," or "things to see" in a city.
Step 3: Query for notable places or tourist attractions located in Phoenix, Arizona.

I will start by searching for the entity "Phoenix, Arizona" in Wikidata.

[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 entity "Phoenix, Arizona" is identified as wd:Q16556, which is a city in Maricopa County, Arizona, United States.

Next, I will search for properties related to notable places or tourist attractions in a city. I will search for properties related to "tourist attractions" or "notable places" to find the appropriate property to use in the query.

[Tool]
Top 10 property alternatives:
1. visitor center, also known as contact station, tourist office, visitor centre (wd:P2872 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): official tourist office of this destination
2. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): things, places this place offers views on
3. significant place, also known as sign. place, significant location, significant landmark, place associated with the subject, notable place (wd:P7153 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): significant or notable places associated with the subject, location
4. visited by, also known as organisms attracted, wildlife visitors, wildlife attracted, wildlife associations, wildlife association (wd:P11801 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): organisms attracted by this plant taxon and reported to visit it
5. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): number of passengers, patrons or visitors in specified time period
6. located in protected area, also known as located in provincial park, located in state park, located in territorial park, located in wildlife refuge, located in wildlife sanctuary (wd:P3018 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): protected area where a place or geographical feature is physically located, located in the administrative territorial entity
7. appears in the heritage monument list (wd:P2817 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): heritage monument is a part of the list of heritage monuments
8. dedicated heritage entity, also known as associated heritage entity, has museum (wd:P8786 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): heritage entity dedicated to or associated with the item's subject
9. tourist information point number (wd:P12316 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): identifier for a tourist information point (guidepost) in the Czech Republic
10. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant]
The property "significant place" (wdt:P7153) seems relevant as it refers to significant or notable places associated with the subject or location. This could be used to find notable places in Phoenix, Arizona.

I will now construct a SPARQL query to find notable places (significant places) located in Phoenix, Arizona (wd:Q16556). I will also include labels for better readability.

[Tool] Got no rows and 2 columns

[Assistant]
The property "significant place" (wdt:P7153) did not return any results for Phoenix, Arizona. I will try another approach.

Another common property to find places located in a city is "located in the administrative territorial entity" (wdt:P131). I will search for notable places or tourist attractions that have Phoenix, Arizona (wd:Q16556) as their administrative territorial entity.

I will try to find entities that are located in Phoenix, Arizona and are instances of tourist attractions or landmarks. I will first search for properties related to "instance of" and "tourist attraction" or "landmark."

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

[Assistant]
The entity "tourist attraction" is identified as wd:Q570116.

I will now construct a SPARQL query to find entities that are instances of tourist attractions (wd:Q570116) and are located in the administrative territorial entity Phoenix, Arizona (wd:Q16556). I will also include labels for better readability.

[Tool] Got no rows and 2 columns

[Assistant]
There are no direct instances of tourist attractions (wd:Q570116) located in Phoenix, Arizona (wd:Q16556) using the property "located in the administrative territorial entity" (wdt:P131).

I will try a broader approach by looking for entities located in Phoenix, Arizona (wd:Q16556) that are instances of more general classes such as "landmark" or "building" or "museum" or "park," which are common types of tourist attractions.

I will first search for entities that are instances of "landmark" to see if that yields any results.

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

[Assistant]
The entity "landmark" is identified as wd:Q4895393 for a recognizable natural or artificial feature used for navigation, and wd:Q2319498 for architectural landmark.

I will try to find entities that are instances of architectural landmarks (wd:Q2319498) and are located in Phoenix, Arizona (wd:Q16556). I will include labels for readability.

[Tool] Got no rows and 2 columns

[Assistant]
There are no direct instances of architectural landmarks (wd:Q2319498) located in Phoenix, Arizona (wd:Q16556) using the property "located in the administrative territorial entity" (wdt:P131).

I will try another approach by looking for entities that are instances of "museum" (wd:Q33506) and are located in Phoenix, Arizona (wd:Q16556). Museums are common tourist attractions.

[Tool]
Got 6 rows and 2 columns:
| museum                                      | museumLabel                        |
| ------------------------------------------- | ---------------------------------- |
| Shemer Art Center and Museum (wd:Q16900026) | Shemer Art Center and Museum (en)  |
| Wells Fargo History Museum (wd:Q18325619)   | Wells Fargo History Museum (en)    |
| Martin Auto Museum (wd:Q28403329)           | Martin Auto Museum (en)            |
| Arizona Science Center (wd:Q4791396)        | Arizona Science Center (en)        |
| Arizona Street Railway Museum (wd:Q4791443) | Arizona Street Railway Museum (en) |
| Phoenix Art Museum (wd:Q977015)             | Phoenix Art Museum (en)            |

[Assistant]
I found several museums located in Phoenix, Arizona, which are notable places to see:

1. Shemer Art Center and Museum
2. Wells Fargo History Museum
3. Martin Auto Museum
4. Arizona Science Center
5. Arizona Street Railway Museum
6. Phoenix Art Museum

I will now look for other types of notable places such as parks (wd:Q22698) located in Phoenix, Arizona.

[Tool]
Got 3 rows and 2 columns:
| park                                                     | parkLabel                                      |
| -------------------------------------------------------- | ---------------------------------------------- |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park (en) |
| Moon Valley Park (wd:Q49528056)                          | Moon Valley Park (en)                          |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park (en)                       |

[Assistant]
I found some parks located in Phoenix, Arizona, which are also notable places to see:

1. Phoenix Carnegie Library and Library Park
2. Moon Valley Park
3. South Mountain Park

I will now look for other types of notable places such as historic sites or landmarks. I will search for entities that are instances of "historic site" (wd:Q839954) located in Phoenix, Arizona.

[Tool]
Got 1 row and 2 columns:
| historicSite                                   | historicSiteLabel                    |
| ---------------------------------------------- | ------------------------------------ |
| Deer Valley Petroglyph Preserve (wd:Q16242066) | Deer Valley Petroglyph Preserve (en) |

[Assistant]
I found a historic site located in Phoenix, Arizona:

1. Deer Valley Petroglyph Preserve

I will now compile the notable places to see in Phoenix, Arizona, including museums, parks, and historic sites, and provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves notable places to see in Phoenix, Arizona, including museums, parks, and archaeological sites, as requested by the user. The answer lists relevant places with their labels, matching the query results. The query uses appropriate classes (museum, park, archaeological site) and the location property to filter places within Phoenix. The optional label retrieval is correctly done with language filtering. Overall, the output is accurate, complete, and well-structured for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse ?spouseLabel WHERE {
  wd:Q210172 wdt:P26 ?spouse .
  OPTIONAL {
    ?spouse rdfs:label ?spouseLabel FILTER ( LANG( ?spouseLabel ) = "en" )
  }
}

Kevin Jonas is married to Danielle Jonas.

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

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

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

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

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

[User] who is kevin jonas married to?

[Assistant] To answer the question "Who is Kevin Jonas married to?", I will first search for the entity "Kevin Jonas" in Wikidata to get his identifier. Then, I will look for the property related to marriage or spouse to find the person he is married to.

[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] I found the entity for Kevin Jonas with the identifier wd:Q210172. Now I will search for the property related to marriage or spouse for this entity to find out who Kevin Jonas is married to.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. 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
5. 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
6. 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)
7. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
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. 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
10. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative

No other items found

[Assistant] The property "spouse" (wdt:P26) is the relevant property to find who Kevin Jonas is married to. I will now write a SPARQL query to get the spouse of Kevin Jonas (wd:Q210172).

[Tool]
Got 1 row and 2 columns:
| spouse                        | spouseLabel         |
| ----------------------------- | ------------------- |
| Danielle Jonas (wd:Q50526598) | Danielle Jonas (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the spouse of Kevin Jonas using the property 'spouse' (wdt:P26). It returns both the identifier and the English label of the spouse, which is Danielle Jonas. The answer is accurate and complete according to the knowledge graph data. No further refinement is necessary.


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

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 answer the question about the cause of death for Bruce Lee, I will first search for the entity "Bruce Lee" in Wikidata to get his identifier. Then, I will look for the property related to the cause of death for that entity.

[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 entity for Bruce Lee, the Chinese-American martial artist and actor, is wd:Q16397. Next, I will search for the property related to the cause of death for this entity.

[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 p/wdt): 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 p/wdt): 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 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
4. 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
5. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
6. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as p/wdt): picture of a person or animal's grave, gravestone or tomb, image
7. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
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. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject

No other items found

[Assistant] The property "cause of death" (wdt:P509) is the most relevant for the question. I will now construct a SPARQL query to retrieve the cause of death for Bruce Lee (wd:Q16397).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the cause of death for Bruce Lee using the property P509 (cause of death) from Wikidata. The query returns the identifier and the English label for the cause of death, which is cerebral edema. The answer is accurate and complete according to the data retrieved. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?property ?value WHERE {
  VALUES ?property {
    wdt:P106 wdt:P569 wdt:P570
  }
  wd:Q133622 ?property ?value .
}

Got 16 rows and 2 columns, showing the first 5 and last 5 rows below:
| property                 | value                               |
| ------------------------ | ----------------------------------- |
| occupation (wdt:P106)    | explorer (wd:Q11900058)             |
| occupation (wdt:P106)    | ethnographer (wd:Q12347522)         |
| occupation (wdt:P106)    | researcher (wd:Q1650915)            |
| occupation (wdt:P106)    | world traveler (wd:Q1937330)        |
| occupation (wdt:P106)    | historian (wd:Q201788)              |
| ...                      | ...                                 |
| occupation (wdt:P106)    | marine biologist (wd:Q3640160)      |
| occupation (wdt:P106)    | sailor (wd:Q45199)                  |
| occupation (wdt:P106)    | anthropologist (wd:Q4773904)        |
| date of birth (wdt:P569) | 1914-10-06T00:00:00Z (xsd:dateTime) |
| date of death (wdt:P570) | 2002-04-18T00:00:00Z (xsd:dateTime) |

Thor Heyerdahl (wd:Q133622) was a Norwegian anthropologist and adventurer born on October 6, 1914, and died on April 18, 2002. His occupations included explorer, ethnographer, researcher, world traveler, historian, marine biologist, sailor, and anthropologist.

[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?" I need to find the entity Thor Heyerdahl in Wikidata and retrieve relevant information about him, such as his description or occupation. I will start by searching for the entity Thor Heyerdahl in Wikidata.

[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 entity "Thor Heyerdahl" in Wikidata is wd:Q133622. He is described as a Norwegian anthropologist and adventurer (1914-2002), marine biologist, anthropologist, world traveler, archaeologist, film director, ethnographer, screenwriter, researcher, adventurer, historian, traveler, explorer, writer, and sailor. I will now construct a SPARQL query to retrieve some basic information about Thor Heyerdahl such as his description, occupation, and date of birth and death.

[Tool] Got no rows and 4 columns

[Assistant] The query did not return any results because the endpoint used does not support the wikibase:directClaim and SERVICE wikibase:label syntax. I will rewrite the query without these constructs to retrieve Thor Heyerdahl's occupation, date of birth, and date of death using standard SPARQL and the properties directly.

[Tool]
Got 16 rows and 2 columns, showing the first 5 and last 5 rows below:
| property                 | value                               |
| ------------------------ | ----------------------------------- |
| occupation (wdt:P106)    | explorer (wd:Q11900058)             |
| occupation (wdt:P106)    | ethnographer (wd:Q12347522)         |
| occupation (wdt:P106)    | researcher (wd:Q1650915)            |
| occupation (wdt:P106)    | world traveler (wd:Q1937330)        |
| occupation (wdt:P106)    | historian (wd:Q201788)              |
| ...                      | ...                                 |
| occupation (wdt:P106)    | marine biologist (wd:Q3640160)      |
| occupation (wdt:P106)    | sailor (wd:Q45199)                  |
| occupation (wdt:P106)    | anthropologist (wd:Q4773904)        |
| date of birth (wdt:P569) | 1914-10-06T00:00:00Z (xsd:dateTime) |
| date of death (wdt:P570) | 2002-04-18T00:00:00Z (xsd:dateTime) |

[Assistant] Thor Heyerdahl (wd:Q133622) was a Norwegian anthropologist and adventurer born on October 6, 1914, and died on April 18, 2002. His occupations included explorer, ethnographer, researcher, world traveler, historian, marine biologist, sailor, and anthropologist. I will now provide this information as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Thor Heyerdahl's occupations, date of birth, and date of death, which are relevant to the question 'Who is Thor Heyerdahl?'. The answer provides a concise summary including his nationality, professions, and lifespan. The query adheres to the rules by returning identifiers and values without unnecessary label services. Overall, the output is accurate, complete, and well-formulated.


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

Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Canada (wd:Q16) | Canada (en)  |

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] Step 1: Identify the entity "Justin Bieber" in Wikidata. I will search for the entity "Justin Bieber" to get his Wikidata identifier.

[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] I found the entity for Justin Bieber as wd:Q34086, who is a Canadian singer. Now I will find the property that indicates the country of origin or nationality for this entity. I will search for properties related to "country" or "origin" or "nationality" for the entity Justin Bieber (wd:Q34086).

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. 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
4. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as p/wdt): country a person or a team represents when playing a sport, country
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
9. 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
10. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in

No other items found

[Assistant] The property "country of citizenship" (wdt:P27) is the most suitable to find the country Justin Bieber comes from. Now I will write a SPARQL query to get the country of citizenship for Justin Bieber (wd:Q34086) and also retrieve the label of the country.

[Tool]
Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Canada (wd:Q16) | Canada (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the country of citizenship for Justin Bieber using the property P27. It returns the country identifier and its English label, which is Canada. The answer provided is accurate and complete based on the query result. The query follows the rules by returning the actual identifier and label in an optional manner. No further refinement is needed.