PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath
}

Charles Darwin died at Down House (wd:Q3038318).

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

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

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

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

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

[User] where did charles darwin die?

[Assistant]
Let's break down the question:

1. The entity is "Charles Darwin".
2. The property we are interested in is "place of death".

First, I will search for the entity "Charles Darwin" in Wikidata to get its identifier.

[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 most relevant entity for "Charles Darwin" the naturalist is wd:Q1035.

Next, I need to find the property for "place of death". I'll search for properties related to "place of death".

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

[Assistant]
The correct property for "place of death" is wd:P20.

Now, I will construct a SPARQL query to find the place of death for Charles Darwin (wd:Q1035) using the property "place of death" (wd:P20). I will also try to include the label of the place for readability.

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

[Tool] Stopped generation process


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 ?type WHERE {
  ?place wdt:P131 wd:Q16556 .
  ?place wdt:P31 ?type .
  VALUES ?type {
    wd:Q570116 wd:Q33506 wd:Q22698 wd:Q483110 wd:Q44782 wd:Q12323 wd:Q8502 wd:Q174782 wd:Q17350442
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( lang( ?placeLabel ) = "en" )
  }
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( lang( ?typeLabel ) = "en" )
  }
}

Got 11 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?place                                                   | ?placeLabel                               | ?type                |
| -------------------------------------------------------- | ----------------------------------------- | -------------------- |
| Herberger Theater Center (wd:Q16983904)                  | Herberger Theater Center                  | venue (wd:Q17350442) |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park | park (wd:Q22698)     |
| Moon Valley Park (wd:Q49528056)                          | Moon Valley Park                          | park (wd:Q22698)     |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park                       | park (wd:Q22698)     |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum              | museum (wd:Q33506)   |
| ...                                                      | ...                                       | ...                  |
| Martin Auto Museum (wd:Q28403329)                        | Martin Auto Museum                        | museum (wd:Q33506)   |
| Arizona Science Center (wd:Q4791396)                     | Arizona Science Center                    | museum (wd:Q33506)   |
| Arizona Street Railway Museum (wd:Q4791443)              | Arizona Street Railway Museum             | museum (wd:Q33506)   |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum                        | museum (wd:Q33506)   |
| Piestewa Peak (wd:Q2111184)                              | Piestewa Peak                             | mountain (wd:Q8502)  |

Notable places to see in Phoenix, Arizona include museums (Phoenix Art Museum, Arizona Science Center, Martin Auto Museum, Shemer Art Center and Museum, Wells Fargo History Museum, Arizona Street Railway Museum), parks (South Mountain Park, Moon Valley Park, Phoenix Carnegie Library and Library Park), a mountain (Piestewa Peak), and a theater venue (Herberger Theater Center).

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

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

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

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

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

[User] what to see in phoenix arizona?

[Assistant]
Let's break down the question:

1. The user wants to know "what to see" in Phoenix, Arizona. This implies notable attractions, landmarks, or points of interest in Phoenix.
2. First, I need to identify the entity for Phoenix, Arizona in Wikidata.
3. Then, I need to find properties related to "attractions," "tourist sites," or "points of interest" for a city.

Step 1: Search 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 main entity for Phoenix, Arizona as a city is wd:Q16556.

Next, I need to find properties that relate a city to its attractions, landmarks, or points of interest. Common properties might include "tourist attraction," "landmark," "notable places," or similar.

I'll search for properties related to "attraction" to see which ones are relevant for a city.

[Tool]
Top 10 property alternatives:
1. attraction to (wd:P8824 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): item of special or vested interest to this person or organisation
7. advertises, also known as campaigns for, promotes (wd:P6291 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): qualifier for "adjacent station" (P197) to indicate the terminal station(s) of a transportation line or service in that direction

[Assistant]
None of the top properties directly relate to "tourist attraction" for a city. Another common property in Wikidata is "has part" (for notable places within a city), or "significant place," or "contains administrative territorial entity." I will search for properties related to "landmark" and "tourist site" to see if there are more relevant options.

First, I'll search for "landmark."

[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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): things, places this place offers views on
6. appears in the heritage monument list (wd:P2817 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): heritage designation of a cultural or natural site, has part(s), instance of
8. located on linear feature (wd:P795 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "significant place" (wd:P7153) is described as "significant or notable places associated with the subject, location." This seems relevant for finding notable places or landmarks in Phoenix.

Next, I'll check if Phoenix (wd:Q16556) has any "significant place" (wd:P7153) entries.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that Phoenix, Arizona does not have any entries under the "significant place" property in Wikidata. Another approach is to look for entities that are "located in" Phoenix and are instances of "tourist attraction," "landmark," or similar.

I'll search for the property "located in the administrative territorial entity," which is commonly used to relate places to cities, and then filter for entities that are tourist attractions or landmarks.

First, I'll search for the property "located in the administrative territorial entity."

[Tool]
Top 10 property alternatives:
1. 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Assistant]
The property "located in the administrative territorial entity" (wd:P131) is appropriate for finding entities located in Phoenix.

Now, I need to find entities that are "tourist attractions" or "landmarks." In Wikidata, these are often instances of "tourist attraction" (wd:Q570116) or "landmark" (wd:Q839954).

I'll confirm the entity for "tourist attraction" by searching for it.

[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 for "tourist attraction" is wd:Q570116.

Now, I will write a SPARQL query to find entities that:
- are instances of "tourist attraction" (wd:Q570116)
- are located in Phoenix, Arizona (wd:Q16556) via "located in the administrative territorial entity" (wd:P131)

I will also try to retrieve their labels for easier interpretation.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that there are no entities in Wikidata that are both instances of "tourist attraction" and explicitly located in Phoenix, Arizona using the "located in the administrative territorial entity" property.

As an alternative, many notable places in cities are also instances of "building," "museum," "park," "zoo," "stadium," etc. I can broaden the search to include these types and see which ones are located in Phoenix.

First, I'll search for entities that are instances of "museum" (wd:Q33506) and located in Phoenix. If this works, I can expand to other types.

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

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?place                                                   | ?placeLabel                               |
| -------------------------------------------------------- | ----------------------------------------- |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum              |
| Herberger Theater Center (wd:Q16983904)                  | Herberger Theater Center                  |
| Wells Fargo History Museum (wd:Q18325619)                | Wells Fargo History Museum                |
| Piestewa Peak (wd:Q2111184)                              | Piestewa Peak                             |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park |
| ...                                                      | ...                                       |
| Arizona Science Center (wd:Q4791396)                     | Arizona Science Center                    |
| Arizona Street Railway Museum (wd:Q4791443)              | Arizona Street Railway Museum             |
| Moon Valley Park (wd:Q49528056)                          | Moon Valley Park                          |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park                       |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum                        |

[Tool]
Got 11 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?place                                                   | ?placeLabel                               | ?type                |
| -------------------------------------------------------- | ----------------------------------------- | -------------------- |
| Herberger Theater Center (wd:Q16983904)                  | Herberger Theater Center                  | venue (wd:Q17350442) |
| Phoenix Carnegie Library and Library Park (wd:Q24693348) | Phoenix Carnegie Library and Library Park | park (wd:Q22698)     |
| Moon Valley Park (wd:Q49528056)                          | Moon Valley Park                          | park (wd:Q22698)     |
| South Mountain Park (wd:Q7567997)                        | South Mountain Park                       | park (wd:Q22698)     |
| Shemer Art Center and Museum (wd:Q16900026)              | Shemer Art Center and Museum              | museum (wd:Q33506)   |
| ...                                                      | ...                                       | ...                  |
| Martin Auto Museum (wd:Q28403329)                        | Martin Auto Museum                        | museum (wd:Q33506)   |
| Arizona Science Center (wd:Q4791396)                     | Arizona Science Center                    | museum (wd:Q33506)   |
| Arizona Street Railway Museum (wd:Q4791443)              | Arizona Street Railway Museum             | museum (wd:Q33506)   |
| Phoenix Art Museum (wd:Q977015)                          | Phoenix Art Museum                        | museum (wd:Q33506)   |
| Piestewa Peak (wd:Q2111184)                              | Piestewa Peak                             | mountain (wd:Q8502)  |

[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
}

Kevin Jonas is married to Danielle Jonas (wd:Q50526598).

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

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

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

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

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

[User] who is kevin jonas married to?

[Assistant]
Let's break down the question:

1. The entity is "Kevin Jonas".
2. The property we need is "spouse" or "married to".
3. We want to find the spouse of Kevin Jonas.

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

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

[Assistant]
The correct entity for Kevin Jonas is wd:Q210172.

Next, I need to find the property for "spouse" or "married to" in Wikidata. I will search for the property "spouse".

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The correct property for "spouse" is wdt:P26.

Now, I will construct a SPARQL query to find the spouse of Kevin Jonas (wd:Q210172) using the property "spouse" (wdt:P26). I will also try to retrieve the label of the spouse for easier interpretation, but the main result will be the IRI.

Here is the query I will use:

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

[Tool] Stopped generation process


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

The cause of death for Bruce Lee was cerebral edema (wd:Q979168).

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

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

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

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

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

[User] what was the cause of death for bruce lee?

[Assistant]
Let's break down the question:

1. The entity is "Bruce Lee".
2. The property we are interested in is "cause of death".

First, I will search for the entity "Bruce Lee" in Wikidata to get its identifier.

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

[Assistant]
The correct entity for Bruce Lee, the martial artist and actor, is wd:Q16397.

Next, I will search for the property "cause of death" to find its property identifier in Wikidata.

[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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): effect of this item, followed by
10. category for deaths in this time period (wd:P12687 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): category item for people who died in this time period, point in time

[Assistant]
The property "cause of death" corresponds to the identifier wd:P509.

Now, I will construct a SPARQL query to retrieve the cause of death for Bruce Lee (wd:Q16397) using the property "cause of death" (wd:P509). I will also try to get a human-readable label for the cause of death, if available.

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

[Tool] Stopped generation process


PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?description ?occupation WHERE {
  wd:Q133622 schema:description ?description .
  FILTER ( lang( ?description ) = "en" ) OPTIONAL {
    wd:Q133622 wdt:P106 ?occupation .
  }
}

Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?description                                        | ?occupation                    |
| --------------------------------------------------- | ------------------------------ |
| Norwegian anthropologist and adventurer (1914-2002) | explorer (wd:Q11900058)        |
| Norwegian anthropologist and adventurer (1914-2002) | ethnographer (wd:Q12347522)    |
| Norwegian anthropologist and adventurer (1914-2002) | researcher (wd:Q1650915)       |
| Norwegian anthropologist and adventurer (1914-2002) | world traveler (wd:Q1937330)   |
| Norwegian anthropologist and adventurer (1914-2002) | historian (wd:Q201788)         |
| ...                                                 | ...                            |
| Norwegian anthropologist and adventurer (1914-2002) | writer (wd:Q36180)             |
| Norwegian anthropologist and adventurer (1914-2002) | archaeologist (wd:Q3621491)    |
| Norwegian anthropologist and adventurer (1914-2002) | marine biologist (wd:Q3640160) |
| Norwegian anthropologist and adventurer (1914-2002) | sailor (wd:Q45199)             |
| Norwegian anthropologist and adventurer (1914-2002) | anthropologist (wd:Q4773904)   |

Thor Heyerdahl (wd:Q133622) was a Norwegian anthropologist and adventurer (1914-2002). His occupations include explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, 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]
Let's break down the question:

1. The user is asking about "Thor Heyerdahl," who is likely a person.
2. We need to find the entity for Thor Heyerdahl in Wikidata.
3. Then, we should retrieve basic information about him, such as his description, occupation, and possibly notable achievements.

First, I will search 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 top result for "Thor Heyerdahl" is wd:Q133622, described as a Norwegian anthropologist and adventurer (1914-2002). This matches the well-known figure.

Next, I will retrieve basic information about wd:Q133622, such as description, occupation, and other notable facts.

[Tool]
Got 30 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?property                                | ?propertyLabel                | ?value              | ?valueLabel |
| ---------------------------------------- | ----------------------------- | ------------------- | ----------- |
| number of children (wd:P1971)            | number of children            | 5                   |             |
| ISNI (wd:P213)                           | ISNI                          | 000000012103745X    |             |
| Munzinger person ID (wd:P1284)           | Munzinger person ID           | 00000005169         |             |
| National Library of Latvia ID (wd:P1368) | National Library of Latvia ID | 000010736           |             |
| BAnQ authority ID (wd:P3280)             | BAnQ authority ID             | 0000151459          |             |
| ...                                      | ...                           | ...                 | ...         |
| ELNET ID (wd:P6394)                      | ELNET ID                      | 11178401            |             |
| ELNET ID (wd:P6394)                      | ELNET ID                      | 11233643            |             |
| MovieMeter person ID (wd:P9463)          | MovieMeter person ID          | 1134936             |             |
| TMDB person ID (wd:P4985)                | TMDB person ID                | 1134936             |             |
| CiNii Research ID (wd:P11496)            | CiNii Research ID             | 1140845216575675520 |             |

[Tool]
Got 14 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?description                                        | ?occupation                    | ?occupationLabel |
| --------------------------------------------------- | ------------------------------ | ---------------- |
| Norwegian anthropologist and adventurer (1914-2002) | explorer (wd:Q11900058)        | explorer         |
| Norwegian anthropologist and adventurer (1914-2002) | ethnographer (wd:Q12347522)    | ethnographer     |
| Norwegian anthropologist and adventurer (1914-2002) | researcher (wd:Q1650915)       | researcher       |
| Norwegian anthropologist and adventurer (1914-2002) | world traveler (wd:Q1937330)   | world traveler   |
| Norwegian anthropologist and adventurer (1914-2002) | historian (wd:Q201788)         | historian        |
| ...                                                 | ...                            | ...              |
| Norwegian anthropologist and adventurer (1914-2002) | writer (wd:Q36180)             | writer           |
| Norwegian anthropologist and adventurer (1914-2002) | archaeologist (wd:Q3621491)    | archaeologist    |
| Norwegian anthropologist and adventurer (1914-2002) | marine biologist (wd:Q3640160) | marine biologist |
| Norwegian anthropologist and adventurer (1914-2002) | sailor (wd:Q45199)             | sailor           |
| Norwegian anthropologist and adventurer (1914-2002) | anthropologist (wd:Q4773904)   | anthropologist   |

[Tool] Stopped generation process


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

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

Justin Bieber comes from Canada (wd:Q16).

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

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

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

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

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

[User] what country does justin bieber come from?

[Assistant]
Let's break down the question:

1. The entity is "Justin Bieber".
2. The property we are interested in is the country he comes from, which usually refers to "country of citizenship" or "country of origin".

First, I will search for the entity "Justin Bieber" in Wikidata to get its 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]
The top result for "Justin Bieber" is wd:Q34086, described as a Canadian singer (born 1994), musician. This is the correct entity.

Next, I need to find the property that indicates the country he comes from. The most likely property is "country of citizenship" or "country of origin". I will search for properties related to "country" for this entity.

[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 most relevant property is "country of citizenship" (wdt:P27), which tells us the country that recognizes Justin Bieber as its citizen.

Now, I will write a SPARQL query to find the country of citizenship for Justin Bieber (wd:Q34086), and also try to get the label for the country.

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

[Tool] Stopped generation process