PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?attraction WHERE {
  ?attraction wdt:P31 / wdt:P279 * wd:Q570116 ; wdt:P131 wd:Q16556 .
}

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

Some tourist attractions in Phoenix, Arizona include: Castles N' Coasters (wd:Q5050593), Six Flags Hurricane Harbor Phoenix (wd:Q7989946), and Phoenix Art Museum (wd:Q977015).

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

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

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

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

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

[User] what to see in phoenix arizona?

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

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

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

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

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

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

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

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

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

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

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

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

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

[Assistant]
Based on the examples, we can construct a SPARQL query to find tourist attractions in Phoenix, Arizona. We'll use the `wd:Q570116` (tourist attraction) and `wd:Q16556` (Phoenix, Arizona) entities, along with the `wdt:P31` (instance of) and `wdt:P131` (located in the administrative territorial entity) properties.

Let's execute the following SPARQL query:
```sparql
SELECT DISTINCT ?attraction WHERE {
  ?attraction wdt:P31 / wdt:P279 * wd:Q570116 ;
              wdt:P131 wd:Q16556 .
}
```
This query will find all tourist attractions located in Phoenix, Arizona.

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

[Assistant]
The SPARQL query has returned three tourist attractions in Phoenix, Arizona:

1. **Castles N' Coasters** (wd:Q5050593)
2. **Six Flags Hurricane Harbor Phoenix** (wd:Q7989946)
3. **Phoenix Art Museum** (wd:Q977015)

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

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

[Tool] Stopped generation process


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

Kevin Jonas is married to Danielle Jonas.

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

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

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

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

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

[User] who is kevin jonas married to?

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

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

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

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

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

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

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

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

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

Example 3:
Question:
what is jonas brothers names?

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

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

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

[Assistant] From the examples, we can see that the property `wdt:P26` is used to represent the relationship of being married to someone. We need to find the entity for Kevin Jonas and then use this property to find out who 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] The correct entity for Kevin Jonas is `wd:Q210172`. Now, let's use the property `wdt:P26` to find out who he is married to.

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

[Assistant] The SPARQL query successfully returned the spouse of Kevin Jonas. Let's provide the final answer.

[Tool] Stopped generation process


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

cerebral edema

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[Assistant] Based on the examples, we need to identify Bruce Lee's entity and then use the `P509` property to find his cause of death. Let's first search for Bruce Lee's 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 correct entity for Bruce Lee is `wd:Q16397`. Now, let's use the `P509` property to find the cause of death for Bruce Lee.

I'll construct the SPARQL query to retrieve this information.

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

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

Here is the final SPARQL query:

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

And the answer is: **cerebral edema**.

[Tool] Stopped generation process


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

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

Thor Heyerdahl was a Norwegian anthropologist and adventurer with multiple occupations including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist. He was born in Larvik, Norway.

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

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

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

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

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

[User] who is thor heyerdahl?

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

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

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

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

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

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

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

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

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

Example 3:
Question:
who was louis riel?

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

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

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

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

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

[Assistant] The top result is the correct Thor Heyerdahl. Now let's look at his occupations and place of birth.

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

[Assistant]
Thor Heyerdahl was a Norwegian anthropologist and adventurer, with multiple occupations including explorer, ethnographer, researcher, world traveler, historian, writer, archaeologist, marine biologist, sailor, and anthropologist. He was born in Larvik, Norway.

Now, let's formulate the final SPARQL query to provide these details.

[Tool] Stopped generation process


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

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

Canada

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

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

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

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

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

[User] what country does justin bieber come from?

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

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

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

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

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

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

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

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

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

Example 3:
Question:
where did rihanna come from?

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

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

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

[Assistant] Based on the examples, we can see that the place of birth (P19) property is used to determine where a person comes from. Let's look at the data for Justin Bieber.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                 | object             |
| ------------------------- | ------------------------ | ------------------ |
| Justin Bieber (wd:Q34086) | place of birth (wdt:P19) | London (wd:Q92561) |

[Assistant] It seems there is an error in the response. Justin Bieber is known to be from Canada, not London. Let's double-check by searching for the country of origin (P153) for Justin Bieber.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the country of origin (P153) is not directly linked to Justin Bieber. However, we can infer his country of origin from his place of birth. Let's check the country where London, Ontario (which is the correct place of birth for Justin Bieber) is located.

First, let's confirm the correct place of birth for Justin Bieber.

[Tool]
Top 10 entity alternatives:
1. London, also known as City of London, London, ON, London, Ontario (wd:Q92561): city in Southwestern Ontario, Canada
2. London station (Ontario), also known as London, Ontario railway station, London railway station, London station, VIA Rail London station (wd:Q1449564): railway station in London, Canada
3. London, Ontario truck attack (wd:Q107148984): 2021 killing in Canada
4. Victoria Park, also known as Victoria Park, London, Ontario (wd:Q22421392): park in Canada
5. Streetcars in London, Ontario (wd:Q30594790): former public transit system in Ontario, Canada
6. flag of London, Ontario (wd:Q97627821): London, Ontario city logo
7. media in London, Ontario (wd:Q6805723): overview of mass media in London, Ontario, Canada
8. Hampton Inn London Ontario (wd:Q111392413): hotel in London, Canada
9. Lorne Heights London Ontario (wd:Q93358097): "Hand drawn map of proposed Lorne Heights subdivision by architect J. M. Moore OLS. At bottom of map: Hillcrest Survey"
10. Victoria Hospital, London, Ontario (wd:Q42429641): scientific article published in January 1967

[Assistant] The top result for "London, Ontario" is the city in Southwestern Ontario, Canada (wd:Q92561). Now, let's confirm that this is indeed the place of birth for Justin Bieber.

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

[Assistant]
The place of birth for Justin Bieber is indeed London, Ontario (wd:Q92561). Now, let's find out which country London, Ontario is located in.

We will use the property "country" (P17) to find the country where London, Ontario is located.

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

[Assistant]
The country where London, Ontario is located is Canada (wd:Q16).

Therefore, Justin Bieber comes from Canada.

Here is the final SPARQL query to answer the question:

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

And the answer is: Canada.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?vicePresident WHERE {
  wd:Q1124 p:P39 ?presidency .
  ?presidency ps:P39 wd:Q11696 ; pq:P580 ?startDate .
  ?vicePresident p:P39 ?vicePresidency .
  ?vicePresidency ps:P39 wd:Q11699 ; pq:P580 ?vpStartDate .
  FILTER ( ?startDate = ?vpStartDate )
}

Got 1 row and 1 column:
| vicePresident       |
| ------------------- |
| Al Gore (wd:Q19673) |

Al Gore was the Vice President during Bill Clinton's presidency.

[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 was vice president with bill clinton?

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

[Tool]
Example 1:
Question:
who was the vice president when bill clinton was in office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q11699 ; pq:P580 ?y .
  wd:Q1124 p:P39 ?q .
  ?q ps:P39 wd:Q11696 ; pq:P580 ?z .
  FILTER ( ?y = ?z )
}

Using entities:
Bill Clinton, also known as William Jefferson Blythe, William Jefferson Blythe III, William Jefferson "Bill" Clinton, William Jefferson Clinton, WJC (wd:Q1124): President of the United States from 1993 to 2001, autobiographer, statesperson, saxophonist, politician, governor, diplomat, teacher, jurist, lawyer, writer
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States

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

Example 2:
Question:
who was vice president under ronald reagan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q11699 ; pq:P580 ?y .
  wd:Q9960 p:P39 ?q .
  ?q ps:P39 wd:Q11696 ; pq:P580 ?z .
  FILTER ( ?y = ?z )
}

Using entities:
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
Ronald Reagan, also known as Ronald W Reagan, Ronald W. Reagan, R. W. Reagan, President Reagan, President Ronald Reagan (wd:Q9960): president of the United States from 1981 to 1989 and actor, television actor, military officer, character actor, game show host, autobiographer, anti-communist, trade unionist, art collector, statesperson, screenwriter, voice actor, film actor, politician, announcer, lifeguard, diarist, actor

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

Example 3:
Question:
who was president when nelson rockefeller was vice president?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?y .
  ?y ps:P39 wd:Q11696 ; pq:P580 ?p ; pq:P582 ?q .
  wd:Q11237 p:P39 ?z .
  ?z ps:P39 wd:Q11699 ; pq:P580 ?w ; pq:P582 ?v .
  FILTER ( ( ?w >= ?p ) && ( ?v <= ?q ) )
}

Using entities:
Nelson Rockefeller, also known as Nelson A. Rockefeller, Nelson Aldrich Rockefeller (wd:Q11237): Vice President of the United States from 1974 to 1977, businessperson, philanthropist, art collector, politician
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States

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

[Assistant] Based on the examples, we need to identify Bill Clinton and the positions of President and Vice President of the United States. Let's first look up the entity for Bill Clinton.

[Tool]
Top 10 entity alternatives:
1. Bill Clinton, also known as William Jefferson Blythe, William Jefferson Blythe III, William Jefferson "Bill" Clinton, William Jefferson Clinton, WJC (wd:Q1124): President of the United States from 1993 to 2001, autobiographer, statesperson, saxophonist, politician, governor, diplomat, teacher, jurist, lawyer, writer
2. Bill Clinton (wd:Q131550597): 2023 song by Freeze Corleone
3. Bill Clinton (wd:Q47508810): painting by Christopher Fox Payne
4. Bill Clinton (wd:Q47513276): painting by Nelson Shanks
5. Bill Clinton (wd:Q47513347): painting by Nancy Fleming Harris
6. Bill Clinton (wd:Q77009656): print in the National Gallery of Art (NGA 170818)
7. Bill Clinton Boulevard (wd:Q4908498): boulevard located in Pristina, Kosovo
8. Bill Clinton Administration cabinet, also known as Clinton Cabinet, Clinton Administration cabinet, Clinton administration, cabinet of Bill Clinton, cabinet Clinton (wd:Q28464553): most senior appointed officers of the executive branch of the fe...nment of the United States under the Bill Clinton Administration
9. Bill Clinton Kalonji, also known as Monseigner, Mancintosh, Didier Kalonji Mukeba, Didier Kalonji (wd:Q2903166): Congolese singer, singer
10. Billy Clinton (wd:Q63894307): musical character in the musical Clinton: The Musical by Paul Hodge

[Assistant] The correct entity for Bill Clinton is `wd:Q1124`. Next, let's confirm the entities for the positions of President and Vice President of the United States.

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
2. cultural depictions of John F. Kennedy, also known as cultural depictions of JFK, cultural depictions of John Fitzgerald Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of President Kennedy, President of the United States (wd:Q17512211): John F. Kennedy depicted in culture
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD)
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter Jr., James E. Carter, Jr., 39th President of the United States (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, environmentalist, autobiographer, businessperson, peace activist, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as USA presidential election, 2024, US 2024 presidential election, POTUS 47, Harris v. Trump, Harris vs. Trump (wd:Q101110072): 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004): head of state of the country of Mexico
8. Executive Office of the President of the United States, also known as EOP, EOPOTUS, Executive Office of the President, The White House, United States Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States
9. President-elect of the United States, also known as President-Elect (wd:Q1467287): winning candidate of the U.S. presidential election in the time before inauguration
10. The Presidents of the United States of America, also known as Pot USA, PotUSA, PUSA, The Presidents, The Presidents of the United States (wd:Q176430): American rock band

[Assistant] The correct entity for President of the United States is `wd:Q11696`. Now, let's confirm the entity for Vice President of the United States.

[Tool]
Top 10 entity alternatives:
1. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
2. Office of the Vice President of the United States, also known as Vice President's Ceremonial Office (wd:Q41160554): U.S. federal government office of the vice president of the United States
3. Second Lady or Gentleman of the United States, also known as SGOTUS, wife of the Vice President of the United States, SSOTUS, spouse of the Vice President of the United States, SLOTUS (wd:Q280808): spouse of the vice president of the United States
4. Vice President-elect of the United States (wd:Q106946815): elected candidate for vice president of the United States in the time before inauguration
5. flag of the vice president of the United States (wd:Q5456903): flag used by U.S. vice presidents
6. Vice President Oath of Office, also known as Oath of office of the vice president of the United States (wd:Q25351482): Oath taken by the new Vice president of the United States
7. Seal of the Vice President of the United States, also known as the Vice President of the United States seal, Vice President of the United States seal (wd:Q7440595)
8. Acting Vice President of the United States (wd:Q4676868)
9. Living vice presidents of the United States (wd:Q60740651)
10. Chief of Staff to the Vice President of the United States (wd:Q5097041): chief of staff position within the Office of the Vice President of the United States

[Assistant]
The correct entity for Vice President of the United States is `wd:Q11699`.

Now, we can construct the SPARQL query to find who was the Vice President during Bill Clinton's presidency. We will use the properties `position held` (`wd:P39`) and `start time` (`wd:P580`) to match the periods of their terms.

Let's write and execute the query.

[Tool]
Got 1 row and 1 column:
| vicePresident       |
| ------------------- |
| Al Gore (wd:Q19673) |

[Assistant]
The SPARQL query has returned the correct result. Al Gore was the Vice President during Bill Clinton's presidency.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?vicePresident WHERE {
  wd:Q1124 p:P39 ?presidency .
  ?presidency ps:P39 wd:Q11696 ; pq:P580 ?startDate .
  ?vicePresident p:P39 ?vicePresidency .
  ?vicePresidency ps:P39 wd:Q11699 ; pq:P580 ?vpStartDate .
  FILTER ( ?startDate = ?vpStartDate )
}
```

Answer: Al Gore was the Vice President during Bill Clinton's presidency.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT DISTINCT ?actor WHERE {
  ?statement p:P161 ?ps .
  ?ps ps:P161 ?actor ; pq:P453 wd:Q4169030 .
}

Rainn Wilson

[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 plays dwight in the office?

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

[Tool]
Example 1:
Question:
who does larry david play in seinfeld?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23733 p:P161 ?p .
  ?p ps:P161 wd:Q23728 ; pq:P453 ?x .
}

Using entities:
Larry David, also known as Lawrence Gene David, Lawrence Gene "Larry" David, Lawrence David (wd:Q23728): American comedian, writer and actor (born 1947), television producer, television director, television actor, film producer, screenwriter, voice actor, film actor, comedian, writer, actor
Seinfeld (wd:Q23733): American television sitcom (1989–1998)

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

Example 2:
Question:
who played captain kirk in star trek?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P161 ?y .
  ?y ps:P161 ?x ; pq:P453 wd:Q16311 .
}

Using entities:
James T. Kirk, also known as James Kirk, James Tiberius Kirk, Jim Kirk, Captain Kirk, Captain James Tiberius Kirk (wd:Q16311): fictional character from Star Trek, spaceship captain, tactician, explorer

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

Example 3:
Question:
who played andy in toy story 3?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q187278 p:P725 ?p .
  ?p ps:P725 ?x ; pq:P453 wd:Q1808466 .
}

Using entities:
Andy Davis (wd:Q1808466): Toy Story character
Toy Story 3 (wd:Q187278): 2010 American animated film

Using properties:
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as ps/p): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member

[Assistant] Based on the examples, we need to identify the entity for "Dwight" and "The Office". Let's start by searching for "Dwight" in the context of "The Office".

[Tool]
Top 10 entity alternatives:
1. The Office, also known as Flor cabrera (wd:Q23831): American sitcom broadcast on NBC
2. The Office (wd:Q23829): British sitcom television series
3. The Office, also known as Office (wd:Q4006581): 1966 Short film directed by Krzysztof Kieślowski
4. The Office (wd:Q43129905): International series of mockumentary sitcoms
5. The Office (wd:Q7754718): 2007 video game
6. The Office (wd:Q3220664)
7. The Office (wd:Q65043588): Indian TV series
8. The Office (wd:Q130441989): Australian TV series
9. The Office (wd:Q130537628): pub in Warton, Polesworth, North Warwickshire, Warwickshire, England
10. The Office (wd:Q20709864): 1995 American television series

[Assistant] It seems like the search did not directly give us the character "Dwight" from "The Office". However, we can see that "The Office" (American version) is listed as the first option (wd:Q23831). Let's now search for "Dwight" specifically as a character in "The Office".

[Tool]
Top 10 entity alternatives:
1. Dwight Schrute, also known as Dwight Kurt Schrute III, Dwight K. Schrute (wd:Q4169030): fictional character in NBC's The Office, regional manager, salesperson, hotel owner
2. Dwight K. Schrute, (Acting) Manager (wd:Q5318198): episode of The Office (S7 E24)
3. Dwight, also known as Dwight, Kansas, Dwight, KS (wd:Q2901450): city in Morris County, Kansas, United States
4. Dwight, also known as Dwight, IL, Dwight, Illinois (wd:Q2338703): village in Illinois, United States
5. Dwight, also known as Dwight, NE, Dwight, Nebraska (wd:Q2155585): human settlement in Butler County, Nebraska, United States of America
6. Dwight, also known as Dwight, ND, Dwight, North Dakota (wd:Q2049587): city in Richland County, North Dakota, United States
7. Jonathan Dwight, also known as Jonathan Dwight Jr., Jonathan Dwight V, J. Dwight, Dwight (wd:Q604878): ornithologist (1858–1929), ornithologist, zoologist
8. Dwight (wd:Q23091503): fictional character in The Walking Dead, zombie hunter
9. Dwight, also known as Dwight (first name), Dwight (given name) (wd:Q13582327): male given name
10. Dwight, also known as Dwight station (wd:Q55888281): passenger train station in Dwight, Illinois

[Assistant]
We found the correct entity for "Dwight Schrute" (wd:Q4169030), who is a character in "The Office". Now, we need to find out who plays this character. We can use the property `P161` (cast member) and `P453` (character role) to find the actor.

Let's construct a SPARQL query to find the actor who plays Dwight Schrute in "The Office".

[Tool]
Got 1 row and 1 column:
| actor                     |
| ------------------------- |
| Rainn Wilson (wd:Q349548) |

[Assistant]
The actor who plays Dwight Schrute in "The Office" is Rainn Wilson.

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?actor WHERE {
  ?statement p:P161 ?ps .
  ?ps ps:P161 ?actor ;
       pq:P453 wd:Q4169030 .
}
```

And the answer is:

Rainn Wilson

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?holiday WHERE {
  ?holiday wdt:P31 wd:Q6484291 .
}

The important holidays of Islam include Mawlid (wd:Q193027), Eid al-Fitr (wd:Q464458), Eid al-Adha (wd:Q514400), and Regaip (wd:Q6408072).

[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 are the important holidays of islam?

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

[Tool]
Example 1:
Question:
what are the holidays of islam?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q1197685 ; wdt:P140 wd:Q432 .
}

Using entities:
public holiday, also known as legal holiday, national holiday, state holiday, statutory holiday (wd:Q1197685): holiday generally established by law, usually a non-working day for most people
Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad

Using properties:
religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt): religion of a person, organization or religious building, or associated with this subject
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
who does the islam worship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P1049 wd:Q432 .
}

Using entities:
Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad

Using properties:
worshipped by, also known as deity of (wd:P1049 as wdt): religion or group/civilization that worships a given deity, part of

Example 3:
Question:
what are the basic beliefs of islam religion?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P1049 wd:Q432 .
}

Using entities:
Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad

Using properties:
worshipped by, also known as deity of (wd:P1049 as wdt): religion or group/civilization that worships a given deity, part of

[Assistant] From the examples, we can see that the first example is the most relevant to our question. It uses the entity "Islam" (wd:Q432) and the property "religion or worldview" (wdt:P140). Additionally, it uses the entity "public holiday" (wd:Q1197685) and the property "subclass of" (wdt:P279) to find holidays that are related to Islam. Let's try this query.

[Tool]
Got 2 rows and 1 column:
| x                        |
| ------------------------ |
| Eid al-Fitr (wd:Q464458) |
| Eid al-Adha (wd:Q514400) |

[Assistant]
The query returned two important holidays of Islam: Eid al-Fitr (wd:Q464458) and Eid al-Adha (wd:Q514400). However, these are only two of the many important holidays in Islam. To ensure we have a comprehensive list, let's modify the query to include more specific types of holidays, such as religious observances and festivals.

We can use the property "instance of" (wdt:P31) to find entities that are instances of religious observances or festivals. We will also use the property "religion or worldview" (wdt:P140) to filter for those related to Islam.

Let's try this updated query.

[Tool]
Got 2 rows and 1 column:
| holiday                  |
| ------------------------ |
| Eid al-Fitr (wd:Q464458) |
| Eid al-Adha (wd:Q514400) |

[Assistant]
The updated query still returns the same two holidays: Eid al-Fitr (wd:Q464458) and Eid al-Adha (wd:Q514400). To ensure we are not missing any important holidays, let's broaden our search by including other types of religious observances and festivals. We can use the property "instance of" (wdt:P31) to find entities that are instances of religious observances or festivals and then filter for those related to Islam.

Let's try this broader query:

```sparql
SELECT DISTINCT ?holiday WHERE {
  ?holiday wdt:P31 / wdt:P279* wd:Q169451 ;  # Religious observance or festival
  wdt:P140 wd:Q432 .  # Religion or worldview (Islam)
}
```

This query will look for holidays that are instances of religious observances or festivals and are related to Islam.

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the entity "religious observance or festival" (wd:Q169451) might not be the best choice for finding Islamic holidays. Let's try another approach by searching for specific terms related to Islamic holidays and see if we can find more relevant entities.

We can use the `search_entity` function to find entities related to Islamic holidays and then construct a query based on those entities.

Let's search for entities related to "Islamic holidays".

[Tool]
Top 10 entity alternatives:
1. Islamic holidays, also known as Islamic religious holidays, Muslim holidays (wd:Q6484291): holidays in Islam
2. holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law
3. vacation, also known as vacationing, vacationins, holidays, holiday (wd:Q116213): leave of absence from a regular occupation, or a specific trip or journey, usually for the purpose of recreation or tourism
4. Islamic culture, also known as Islamic, Islamic society, Muslim culture, Muslim society (wd:Q1340372): Islamic lifestyle
5. Holidays (wd:Q20022626): 2016 anthology horror film
6. Holidays (wd:Q15136244): 2010 film by Atlas Ramachandran
7. Holidays (wd:Q121090989): 2020 song by Meghan Trainor featuring Earth, Wind & Fire
8. HOLIDAYS (wd:Q122313621): 2020 video game
9. holidays (wd:Q107383247): Python library
10. Holidays (wd:Q119424270): painting by Nigel Oxley (b.1949), Conquest Hospital

[Assistant]
The search for "Islamic holidays" returned the entity "Islamic holidays" (wd:Q6484291), which seems to be the most relevant. This entity represents holidays in Islam. We can use this entity to find specific Islamic holidays.

Let's construct a query to find the specific holidays that are instances of "Islamic holidays" (wd:Q6484291).

```sparql
SELECT DISTINCT ?holiday WHERE {
  ?holiday wdt:P31 wd:Q6484291 .
}
```

This query will find all entities that are instances of "Islamic holidays".

Let's execute this query.

[Tool]
Got 4 rows and 1 column:
| holiday                  |
| ------------------------ |
| Mawlid (wd:Q193027)      |
| Eid al-Fitr (wd:Q464458) |
| Eid al-Adha (wd:Q514400) |
| Regaip (wd:Q6408072)     |

[Assistant]
The query returned four important holidays of Islam:
- Mawlid (wd:Q193027)
- Eid al-Fitr (wd:Q464458)
- Eid al-Adha (wd:Q514400)
- Regaip (wd:Q6408072)

These are the significant holidays celebrated in the Islamic faith.

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

```sparql
SELECT DISTINCT ?holiday WHERE {
  ?holiday wdt:P31 wd:Q6484291 .
}
```

Answer: The important holidays of Islam include Mawlid (wd:Q193027), Eid al-Fitr (wd:Q464458), Eid al-Adha (wd:Q514400), and Regaip (wd:Q6408072).

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q1496 wdt:P27 ?country .
}

Kingdom of Portugal

[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 did magellan represent?

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

[Tool]
Example 1:
Question:
what country did francis drake represent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q36517 wdt:P27 ?x .
}

Using entities:
Francis Drake, also known as Sir Francis Drake (wd:Q36517): English sailor and privateer (c. 1540 – 1596), military personnel, politician, privateer, engineer, explorer, sailor

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

Example 2:
Question:
what country did francis drake explored for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q36517 wdt:P27 ?x .
}

Using entities:
Francis Drake, also known as Sir Francis Drake (wd:Q36517): English sailor and privateer (c. 1540 – 1596), military personnel, politician, privateer, engineer, explorer, sailor

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

Example 3:
Question:
what country columbus was born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q7322 wdt:P19 ?p .
  ?p wdt:P17 ?x .
}

Using entities:
Christopher Columbus, also known as Cristóbal Colón, Cristoforo Colombo, Don Cristobál Colón, 'Christopher Columbus', Cristobal Colon, Christofer Columbus (wd:Q7322): Italian navigator, explorer, and colonist (1451–1506), explorer, seafarer, traveler, inventor, sailor

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

[Assistant] From the examples, we see that the property `country of citizenship` (P27) is used to determine the country a person represents. However, for Christopher Columbus, his place of birth (P19) is used to infer the country he was associated with. Let's first identify the entity for Magellan.

[Tool]
Top 10 entity alternatives:
1. Ferdinand Magellan, also known as Fernando de Magallanes, Fernão de Magalhães, Hernando de Magallanes, Magallanes, Magellan (wd:Q1496): Portuguese explorer in the service of Spain, seafarer, explorer, sailor
2. Magellan, also known as VRM, VOIR, Venus Radar Mapper, Magellan spacecraft, Magellan orbiter (wd:Q466932): NASA robotic space probe that studied the planet Venus
3. 4055 Magellan, also known as Magellan (wd:Q152597): asteroid
4. Magellan (wd:Q1883965): progressive metal group
5. Magellan (wd:Q3843119): fictional character from One Piece, prison warden
6. Magellan (wd:Q102045488): biography by Stefan Zweig
7. Magellan (wd:Q31669317): summit in New Zealand
8. GPS-III SV02, also known as GPS SVN 75, GPS-3 2, USA-293, Magellan, Navstar 78 (wd:Q106405833): GPS III satellite
9. Magellan (wd:Q11766140): Polish business
10. Magellan (wd:Q130438249)

[Assistant] The correct entity for Ferdinand Magellan is `wd:Q1496`. Now let's check if Magellan has a value for the `country of citizenship` (P27) property.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                         | object                          |
| ----------------------------- | -------------------------------- | ------------------------------- |
| Ferdinand Magellan (wd:Q1496) | country of citizenship (wdt:P27) | Kingdom of Portugal (wd:Q45670) |

[Assistant]
Ferdinand Magellan's country of citizenship is the Kingdom of Portugal (`wd:Q45670`). However, it's worth noting that Magellan also served Spain during his famous voyage. To ensure we capture this information, let's also look for any statements about the country he served or worked for.

We can use the property `employer` (P108) to check if Magellan had any employment relationships with countries or organizations.

[Tool] Got no rows and 3 columns

[Assistant]
There are no entries for Ferdinand Magellan under the `employer` (P108) property. Given this, the primary information we have is that Magellan's country of citizenship was the Kingdom of Portugal.

To finalize, let's construct a SPARQL query to confirm this and provide the answer.

```sparql
SELECT ?country WHERE {
  wd:Q1496 wdt:P27 ?country .
}
```

This query will return the country that Magellan represented based on his citizenship.

[Tool]
Got 1 row and 1 column:
| country                         |
| ------------------------------- |
| Kingdom of Portugal (wd:Q45670) |

[Assistant]
The SPARQL query confirms that Ferdinand Magellan's country of citizenship was the Kingdom of Portugal (`wd:Q45670`).

Therefore, the answer to the question "What country did Magellan represent?" is:

**Kingdom of Portugal**

Here is the final SPARQL query:

```sparql
SELECT ?country WHERE {
  wd:Q1496 wdt:P27 ?country .
}
```

And the answer:

**Kingdom of Portugal**

[Tool] Stopped generation process