PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?vicePresident WHERE {
  ?vicePresident wdt:P39 wd:Q11699 .
  ?vicePresident wdt:P580 ?start .
  ?vicePresident wdt:P582 ?end .
  FILTER ( ?start <= '2001-01-20T00:00:00Z' ^^ xsd:dateTime && ?end >= '1993-01-20T00:00:00Z' ^^ xsd:dateTime )
}

It seems that the query did not return any results, which suggests that the approach of filtering by the exact start date might not be the best way to find the Vice President during Bill Clinton's presidency.

Let's try a simpler approach by directly linking the Vice President to the position held during Bill Clinton's term using the "position held" property (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`), and then checking the time period of the position held.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the positions held during the same time period as Bill Clinton's presidency, but this time I will use the `wdt:P39` property to link the Vice President to the position and the `wdt:P580` and `wdt:P582` properties to filter the time period more broadly.

Here is the SPARQL query:

```sparql
SELECT ?vicePresident WHERE {
  ?vicePresident wdt:P39 wd:Q11699 .
  ?vicePresident wdt:P580 ?start .
  ?vicePresident wdt:P582 ?end .
  FILTER(?start <= '2001-01-20T00:00:00Z'^^xsd:dateTime && ?end >= '1993-01-20T00:00:00Z'^^xsd:dateTime)
}
```

This query will return the Vice President who held the position during any part of Bill Clinton's presidency.

Let's execute this query.

[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 examples.

[Tool]
Example 1:
Question:
what did the scientist thomson discover?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P61 wd:Q47285 .
}

Using entities:
J. J. Thomson, also known as Sir Joseph Thomson, John Thompson, Sir Joseph John Thomson, Joseph John Thomson (wd:Q47285): British physicist (1856-1940), university teacher, mathematician, physicist

Using properties:
discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as wdt): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory

Example 2:
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 3:
Question:
what countries in the world speak german?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P37 wd:Q188 ; wdt:P31 / wdt:P279 * wd:Q6256 .
}

Using entities:
German, also known as de, German language (wd:Q188): West Germanic language spoken mainly in Central Europe
country, also known as countries (wd:Q6256): distinct territorial body or political entity

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

[Assistant]
Based on the examples, we can see that the SPARQL queries typically involve identifying the relevant entity and then finding the property that connects it to the desired information. In our case, we need to identify Bill Clinton and then find out who served as his Vice President.

Let's start by searching for Bill Clinton in the knowledge graph.

[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 top result is the correct Bill Clinton, with the identifier `wd:Q1124`. Now, let's find the property that indicates the Vice President of a President.

I will search for the property "Vice President" to see if it exists and how it is used.

[Tool]
Top 10 property alternatives:
1. substitute/deputy/replacement of office/officeholder, also known as deputy office, vice position, vice office, substitute office, replacement office (wd:P2098 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): function that serves as deputy/replacement of this function/office (scope/conditions vary depending on office)
2. Vie publique person ID, also known as ViePublique, VP (wd:P7676 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): identifier for a public personality on Vie publique
3. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): official with the highest formal authority in a country/state, director / manager, chairperson
4. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): senior official in an educational institution., director / manager, chairperson
5. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): presiding member of an organization, group or body, director / manager, significant person
6. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
7. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): position of the head of this item
8. vice-county, also known as Praeger vice-county, Watsonian vice-county, vice county (wd:P1887 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): geographical delineation utilized for biological records in the British Isles
9. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): persons who hold and/or held the position
10. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): political office that is fulfilled by the head of state of this item

[Assistant]
The property "vice president" does not appear directly in the top results. However, the property "substitute/deputy/replacement of office/officeholder" (`wd:P2098`) might be relevant. Let's check if this property is used for Bill Clinton to indicate his Vice President.

I will list the triples where Bill Clinton is the subject and the property is `wd:P2098`.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the property `wd:P2098` is not used to indicate the Vice President for Bill Clinton. Let's try another approach by searching for the property "Vice President" specifically for Bill Clinton.

I will use the `search_property_of_entity` function to find properties related to "Vice President" for Bill Clinton.

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
2. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
3. candidacy in election, also known as ran in election, running in election, election candidacy, candidate in election, candidate in (wd:P3602 as p/wdt): election where the subject is a candidate, participant in
4. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as p/wdt): professional collaborator, significant person
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
It appears that the property "Vice President" is not directly listed among the properties for Bill Clinton. However, the property "position held" (`wd:P39`) might be relevant, as it could indicate the positions held by individuals during Bill Clinton's presidency.

Let's check if there is a Vice President position held during Bill Clinton's presidency by querying for the positions held by individuals where Bill Clinton is the head of government (`wd:P6`).

I will execute a SPARQL query to find the Vice President during Bill Clinton's presidency.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of using `wd:P39` and `wd:P361` might not be the correct way to find the Vice President during Bill Clinton's presidency.

Let's try a different approach by directly searching for the Vice President of the United States during Bill Clinton's term. We can use the property "head of government" (`wd:P6`) to find Bill Clinton and then look for the Vice President.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `wd:P34` (which is typically used for "head of state") is not the correct property to find the Vice President. Let's try another approach by directly searching for the Vice President of the United States during Bill Clinton's term using the property "position held" (`wd:P39`) and the specific position of Vice President.

I will search for the entity "Vice President of the United States" and then find the person who held this position during Bill Clinton's presidency.

First, let's search for the entity "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 top result is the correct entity for "Vice President of the United States" with the identifier `wd:Q11699`.

Now, let's find the person who held this position during Bill Clinton's presidency. We will use the property "position held" (`wd:P39`) to find the Vice President.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of using `wd:P361` to link the Vice President to Bill Clinton's presidency might not be correct. Let's try a simpler approach by directly linking the Vice President to the position held during Bill Clinton's term.

We can use the property "position held" (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`) and filter by the time period when Bill Clinton was President.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the time period of the position held.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of filtering by the exact time period might not be the best way to find the Vice President during Bill Clinton's presidency.

Let's try a different approach by directly linking the Vice President to Bill Clinton's presidency using the property "part of" (`wd:P361`). We will look for the Vice President who was part of the same government as Bill Clinton.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the government structure.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of using the "part of" property (`wd:P361`) to link the Vice President to Bill Clinton's presidency might not be the correct way.

Let's try a more direct approach by using the property "position held" (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`) and linking it to Bill Clinton's presidency through the "head of government" property (`wd:P6`).

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by linking the Vice President to the same government as Bill Clinton.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of using the "part of" property (`wd:P361`) to link the Vice President to Bill Clinton's presidency might not be the correct way.

Let's try a simpler approach by directly linking the Vice President to the position held during Bill Clinton's term using the "position held" property (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`).

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the positions held during the same time period as Bill Clinton's presidency.

I will use the property "time of office" (`wd:P580` and `wd:P582`) to filter the results to the period when Bill Clinton was President (1993-2001).

Here is the SPARQL query:

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results, which suggests that the approach of filtering by the exact time period might not be the best way to find the Vice President during Bill Clinton's presidency.

Let's try a different approach by directly linking the Vice President to Bill Clinton's presidency using the property "position held" (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`), and then checking the time period of the position held.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the positions held during the same time period as Bill Clinton's presidency, but this time I will use the `wdt:P39` property to link the Vice President to the position and the `wdt:P580` and `wdt:P582` properties to filter the time period.

Here is the SPARQL query:

```sparql
SELECT ?vicePresident WHERE {
  ?vicePresident wdt:P39 wd:Q11699 .
  ?vicePresident wdt:P580 ?start .
  ?vicePresident wdt:P582 ?end .
  FILTER(?start <= '1993-01-20T00:00:00Z'^^xsd:dateTime && ?end >= '1993-01-20T00:00:00Z'^^xsd:dateTime)
}
```

This query will return the Vice President who held the position during the start of Bill Clinton's presidency.

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 approach of filtering by the exact start date might not be the best way to find the Vice President during Bill Clinton's presidency.

Let's try a simpler approach by directly linking the Vice President to the position held during Bill Clinton's term using the "position held" property (`wd:P39`) and the specific position of Vice President of the United States (`wd:Q11699`), and then checking the time period of the position held.

I will execute a SPARQL query to find the Vice President of the United States during Bill Clinton's presidency by checking the positions held during the same time period as Bill Clinton's presidency, but this time I will use the `wdt:P39` property to link the Vice President to the position and the `wdt:P580` and `wdt:P582` properties to filter the time period more broadly.

Here is the SPARQL query:

```sparql
SELECT ?vicePresident WHERE {
  ?vicePresident wdt:P39 wd:Q11699 .
  ?vicePresident wdt:P580 ?start .
  ?vicePresident wdt:P582 ?end .
  FILTER(?start <= '2001-01-20T00:00:00Z'^^xsd:dateTime && ?end >= '1993-01-20T00:00:00Z'^^xsd:dateTime)
}
```

This query will return the Vice President who held the position during any part of Bill Clinton's presidency.

Let's execute this query.

[Tool] Got no rows and 1 columns


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 p:P175 ?statement .
  ?statement ps:P175 ?actor .
}

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 examples.

[Tool]
Example 1:
Question:
where is port st johns florida?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q945047 wdt:P131 ?x .
}

Using entities:
Port St. John, also known as Port St. John, FL, Port St. John, Florida (wd:Q945047): census designated place in Brevard County, Florida, 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

Example 2:
Question:
who is the voice of lois from family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q5930 p:P725 ?p .
  ?p ps:P725 ?x ; pq:P453 wd:Q853073 .
}

Using entities:
Family Guy (wd:Q5930): American adult animated sitcom
Lois Griffin, also known as Lois Pewterschmidt Griffin, Lois Pewterschmidt, Lois Patrice Pewterschmidt, Lois Patrice Griffin (wd:Q853073): fictional character from the Family Guy franchise, housewife

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

Example 3:
Question:
where is chowchilla located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q985260 wdt:P131 ?x .
}

Using entities:
Chowchilla, also known as Chowchilla, CA, Chowchilla, California (wd:Q985260): city in Madera County, California, United States

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant]
From the examples, we can see that the second example is relevant to our question. It shows how to find the voice actor of a character in an animated show. We can adapt this to find the actor who plays Dwight in The Office.

First, let's find the entity for Dwight Schrute in Wikidata.

[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]
The correct entity for Dwight Schrute from The Office is `wd:Q4169030`.

Next, we need to find the property that links the character to the actor who plays them. Based on the example, it seems like the property `P725` (voice actor) might be relevant, but since The Office is a live-action show, we should check if there's a different property used for live-action roles.

Let's search for properties related to "actor" or "performed by" for the entity `wd:Q4169030`.

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
8. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant]
The property `P175` (performer) is the most relevant for finding the actor who plays a character in a live-action show. Let's use this property to find the actor who plays Dwight Schrute.

We'll construct a SPARQL query to find the actor who plays Dwight Schrute (`wd:Q4169030`).

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 p:P175 ?statement .
  ?statement ps:P175 ?actor .
}
```

Now, let's execute this query.

[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 and answer:

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 p:P175 ?statement .
  ?statement ps:P175 ?actor .
}
```

Answer: Rainn Wilson

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Rainn Wilson as the actor who plays Dwight in The Office.


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

The important holidays of Islam are: Mawlid, Eid al-Fitr, Eid al-Adha, and Regaip.

[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 examples.

[Tool]
Example 1:
Question:
what is jackie kennedy famous for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q165421 wdt:P800 ?x .
}

Using entities:
Jacqueline Kennedy Onassis, also known as Jacqueline Bouvier Onassis, Jacqueline Lee Bouvier Kennedy, Jacqueline Kennedy, Jacqueline Kennedy-Onassis, Jacqueline Bouvier Kennedy Onassis (wd:Q165421): First Lady of the United States from 1961 to 1963, literary editor, journalist, socialite, writer, model

Using properties:
notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt): notable scientific, artistic or literary work, or other work of significance among subject's works

Example 2:
Question:
who did ayrton senna drive for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q10490 wdt:P54 ?x .
}

Using entities:
Ayrton Senna, also known as Senna, Ayrton Senna da Silva (wd:Q10490): Brazilian racing driver (1960-1994), racing automobile driver, Formula One driver, businessperson, philanthropist

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt): sports teams or clubs that the subject represents or represented, member of

Example 3:
Question:
what books did jules verne wright?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q47461344 ; wdt:P50 wd:Q33977 .
}

Using entities:
Jules Verne, also known as Jules Gabriel Verne, Julius Verne (wd:Q33977): French writer (1828–1905), science fiction writer, children's writer, Esperantist, playwright, novelist, writer, poet
written work, also known as creative written work, written delivery (wd:Q47461344): any work expressed in writing, such as inscriptions, manuscripts, documents or maps

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator

[Assistant] Based on the examples, we need to identify the entity for Islam and the property that links it to important holidays. Let's start by searching for the entity "Islam".

[Tool]
Top 10 entity alternatives:
1. Islam, also known as religion of the Muslims, Muslim religion, Mohammedanism, Islamic religion, al-’islām (wd:Q432): Abrahamic religion founded by Muhammad
2. Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad
3. Islam (wd:Q3802541): male given name
4. Islam (wd:Q15714033): Belgian political party
5. İslam İslamzadə (wd:Q39083558): politician
6. Islam Islam (wd:Q70618801): Tanzanian field hockey player, field hockey player
7. İslam (wd:Q109385182): suburb in Bahçesaray, Van, Turkey
8. İslam (wd:Q106304327): family name
9. Islam (wd:Q36909358): family name
10. Islam (wd:Q33541951): 1965 film by Svend Aage Lorentz

[Assistant] The correct entity for Islam is `wd:Q432`. Now let's search for properties related to holidays or festivals associated with Islam.

[Tool]
Top 10 property alternatives:
1. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as p/wdt): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
2. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as p/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
3. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
4. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as p/wdt): primary topic of a work (see also P180: depicts), depicts
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. The New Yorker topic ID, also known as TNY ID, The NewYorker topic ID, New Yorker topic ID, NewYorker topic ID, newyorker.com (wd:P13317 as p/wdt): identifier of a topic on The New Yorker website
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. full work available at URL, also known as full text available at, full text available at URL, full text url, online mirror, online version (wd:P953 as p/wdt): URL of a web page containing the full body of this item, URL

No other items found

[Assistant] The property `P547` (commemorates) seems to be the closest match for finding holidays or festivals associated with Islam. However, it might not be specific enough. Let's try another search for properties related to "festival" or "celebration" to see if we can find a more precise property.

[Tool]
Top 10 property alternatives:
1. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as p/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
6. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as p/wdt): primary topic of a work (see also P180: depicts), depicts
7. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country

No other items found

[Assistant]
The property `P793` (significant event) seems to be the most relevant for finding important holidays or festivals associated with Islam. Let's use this property to construct a SPARQL query to find the important holidays of Islam.

We will start with a simple query to see if we can get the desired results:

```sparql
SELECT ?holiday WHERE {
  wd:Q432 wdt:P793 ?holiday .
}
```

Let's execute this query and see the results.

[Tool]
Got 7 rows and 1 column:
| holiday                               |
| ------------------------------------- |
| Hijra (wd:Q131482)                    |
| Conquest of Mecca (wd:Q2092033)       |
| The Farewell Pilgrimage (wd:Q3352027) |
| Isra and Mi'raj (wd:Q381240)          |
| Battle of Badr (wd:Q486124)           |
| Battle of Uhud (wd:Q488278)           |
| Battle of the Trench (wd:Q826083)     |

[Assistant]
The query returned several significant events related to Islam, but these are not necessarily the holidays or festivals. We need to refine our query to specifically target holidays and festivals.

Let's try searching for the entity "Islamic holiday" or "Islamic festival" to see if we can find a more specific category or type of event.

[Tool]
Top 10 entity alternatives:
1. Islamic holiday (wd:L1325130-S1)
2. Islamic holidays, also known as Islamic religious holidays, Muslim holidays (wd:Q6484291): holidays in Islam
3. Eid, Islamic holiday (wd:L1319474-S3)
4. Eid, Islamic holiday (wd:L1319479-S1)
5. Eid, Islamic holiday (wd:L1319480-S1)
6. Eid, Islamic holiday (wd:L1319481-S1)
7. Eid, Islamic holiday (wd:L1319482-S1)
8. Eid, Islamic holiday (wd:L1319483-S1)
9. Eid, Islamic holiday (wd:L1319484-S1)
10. holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law

[Assistant]
The entity `wd:Q6484291` for "Islamic holidays" seems to be the most relevant. Let's use this entity to find the important holidays of Islam.

We will construct a query to find the holidays that are instances of `wd:Q6484291`.

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

Let's execute this query and see the results.

[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 the important holidays of Islam:

- Mawlid (wd:Q193027)
- Eid al-Fitr (wd:Q464458)
- Eid al-Adha (wd:Q514400)
- Regaip (wd:Q6408072)

These are the major Islamic holidays. Let's finalize the SPARQL query and provide the answer.

Here is the final SPARQL query:

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

And the answer to the question:

The important holidays of Islam are:
- Mawlid
- Eid al-Fitr
- Eid al-Adha
- Regaip

Let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. It identifies the important holidays of Islam by querying for instances of the class 'Islamic religious holidays'. The returned holidays match the well-known major Islamic holidays.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?expedition ?country WHERE {
  wd:Q1496 wdt:P1344 ?expedition .
  ?expedition wdt:P17 ?country .
}

The Crown of Castile (Spain)

[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 examples.

[Tool]
Example 1:
Question:
what is the braves mascot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q461595 wdt:P822 ?x .
}

Using entities:
Atlanta Braves, also known as Beaneaters, Rustlers, Milwaukee Braves, Doves, Braves (wd:Q461595): Major League Baseball team in Cumberland, Georgia

Using properties:
mascot (wd:P822 as wdt): mascot of an organization, e.g. a sports team or university

Example 2:
Question:
what religion are people in russia?

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

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

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

Example 3:
Question:
what is the most practiced religion in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q30 wdt:P140 ?x .
}

Using entities:
United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America

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

[Assistant] From the examples, we can see that the SPARQL queries typically involve selecting a specific property of an entity. In our case, we need to find out what country Magellan represented. 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 top result for "Magellan" is Ferdinand Magellan, which is the entity we are interested in. Now, let's find out what properties are associated with Ferdinand Magellan that might indicate the country he represented.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as p/wdt): name the subject is known by; preferably use a more specific subproperty if available
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
The property "country of citizenship" (P27) seems to be the most relevant for identifying the country Magellan represented. Let's construct a SPARQL query to retrieve this information.

### Step 1: Simple Query to Get Country of Citizenship
We'll start with a simple query to get the country of citizenship for Ferdinand Magellan.

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

Let's execute this query to see the results.

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

[Assistant]
The query returned that Ferdinand Magellan's country of citizenship was the Kingdom of Portugal. However, it's important to note that Magellan represented Spain during his famous voyage. Let's verify this by checking if there is any information about the country he represented during his voyages.

### Step 2: Check for Additional Properties
We need to look for properties that might indicate the country Magellan represented during his voyages. Let's search for properties related to "voyage" or "expedition" for Ferdinand Magellan.

[User]
Feedback (status=refine):
The current query only checks for Ferdinand Magellan's country of citizenship, which is the Kingdom of Portugal. However, the question asks for the country he represented during his voyages, which is Spain. We need to refine the query to check for the country he represented during his expeditions.

[Assistant]
Thank you for the feedback. Let's refine our query to check for the country Magellan represented during his voyages. We need to look for properties related to his expeditions and the countries involved.

### Step 3: Search for Properties Related to Expeditions
Let's search for properties related to "expedition" or "voyage" for Ferdinand Magellan.

[Tool]
Top 10 property alternatives:
1. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as p/wdt): battles, wars or other military engagements in which the person or item participated, participant in
4. KANTO ID, also known as Asteri ID, KANTO, finaf (wd:P8980 as wdtn/p/wdt): identifier for a person or an organization in the database KANTO curated by the National Library of Finland, URN-NBN
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
8. name in native language, also known as native name (wd:P1559 as p/wdt): name of a person in their native language, name
9. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as p/wdt): name the subject is known by; preferably use a more specific subproperty if available
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant]
The property "participant in" (P1344) seems relevant for identifying the expeditions Magellan participated in. Let's use this property to find the expeditions and then check the countries involved in those expeditions.

### Step 4: Find Expeditions and Countries Involved
We'll start by finding the expeditions Magellan participated in and then check the countries involved in those expeditions.

```sparql
SELECT ?expedition ?country WHERE {
  wd:Q1496 wdt:P1344 ?expedition .
  ?expedition wdt:P17 ?country .
}
```

Let's execute this query to see the results.

[Tool]
Got 1 row and 2 columns:
| expedition                               | country                       |
| ---------------------------------------- | ----------------------------- |
| Magellan-Elcano expedition (wd:Q1225170) | Crown of Castile (wd:Q217196) |

[Assistant]
The query returned that Ferdinand Magellan participated in the Magellan-Elcano expedition, which was sponsored by the Crown of Castile (Spain).

### Final Answer
Ferdinand Magellan represented the Crown of Castile (Spain) during his famous voyage.

Let's provide the final SPARQL query and answer.

```sparql
SELECT ?expedition ?country WHERE {
  wd:Q1496 wdt:P1344 ?expedition .
  ?expedition wdt:P17 ?country .
}
```

The answer to the question "What country did Magellan represent?" is the Crown of Castile (Spain).

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and the SPARQL query is well-formed. It returns the IRI of the country that Magellan represented, which is the Crown of Castile (Spain).


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?school ?schoolLabel WHERE {
  wd:Q4583 wdt:P69 ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Anne Frank attended the 6th Montessori School Anne Frank.

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

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

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

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

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

[User] where did anne frank go to school?

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

[Tool]
Example 1:
Question:
what are the major cities in france?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q1637706 ; wdt:P17 wd:Q142 .
}

Using entities:
France, also known as FR, FRA, French Republic (wd:Q142): country in Western Europe
million city, also known as city 1000000+ (wd:Q1637706): city with a population of more than 1,000,000

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
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 did warren moon play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q126710 wdt:P54 ?x .
}

Using entities:
Warren Moon, also known as Harold Warren Moon (wd:Q126710): American gridiron football player (born 1956), Canadian football player, American football player, actor

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt): sports teams or clubs that the subject represents or represented, member of

Example 3:
Question:
where north dakota located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1207 wdt:P131 ?x .
}

Using entities:
North Dakota, also known as Peace Garden State, North Dakota, United States, Roughrider State, NoDak, N. Dakota (wd:Q1207): state of the United States of America

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant] Based on the examples, we need to identify the entity for Anne Frank and the property for 'school'. Let's first search for the entity 'Anne Frank'.

[Tool]
Top 10 entity alternatives:
1. Anne Frank, also known as Anne M. Frank, Anna Frank, Anne Maries Frank, Annelies Marie Frank, Anna M Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
2. Anne Frank, also known as Anne Maries Frank, Anne M. Frank, Annelies Marie Frank, Anna M Frank, Anna Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
3. Statue of Anne Frank, also known as Anne Frank (wd:Q27918477): public artwork by Pieter d'Hont in Utrecht, the Netherlands
4. Bust of Anne Frank, also known as Anne Frank (wd:Q41688543): sculpture by Doreen Kern
5. Aenne Pahl, also known as Anne Frank (wd:Q60540011): painter
6. Anne Frank (wd:Q128498127): opera by Shulamit Ran
7. Anne Frank (wd:Q99711206): television executive
8. Anne Frank, also known as No Guilt (wd:Q123907483): 1990 single by Brainbombs
9. Anne Frank (wd:Q115618903): sculpture in Berlin, Germany
10. Anne Frank (wd:Q106898038): costume designer, theatre manager, textile worker, puppeteer, director

[Assistant] The correct entity for Anne Frank is `wd:Q4583`. Now let's search for the property that might indicate where she went to school. We can try searching for 'school' or 'education'.

[Tool]
Top 10 property alternatives:
1. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
2. school of (wd:P1780 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): for a creative work with author with a style influenced by the k... or circle, active in the same period, but a student or follower
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): educational institution attended by subject, affiliation
4. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): (qualifier) class of a given year/time period to which the person belonged in an educational institution
5. class, also known as type (wd:P2308 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. CEEB K-12 school code, also known as CEEB code, K–12 (wd:P7801 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): code issued by the College Board for K-12 schools
7. course, also known as meal course (wd:P8431 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): course type of a food dish (appetizer, dessert, drink, main course, salad, side dish)
8. has part(s) of the class, also known as has part of class, nwere akụkụ(s) na-akpụ subclass nke, part of class, nwere akụkụ nke klaasị, part of the class (wd:P2670 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the subject has one or more parts of the object class, has part(s)
9. instruction set, also known as architecture, Instruction Set Architecture, ISA (wd:P1068 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): set of machine code instructions on which a processor architecture is based
10. architectural style, also known as architecture, style of architecture (wd:P149 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): architectural style of a structure, movement

[Assistant]
The property `wdt:P69` (educated at) seems to be the most relevant for finding out where Anne Frank went to school. Let's construct a simple SPARQL query to find the school(s) Anne Frank attended.

```sparql
SELECT ?school WHERE {
  wd:Q4583 wdt:P69 ?school .
}
```

I will now execute this query.

[Tool]
Got 1 row and 1 column:
| school                                          |
| ----------------------------------------------- |
| 6th Montessori School Anne Frank (wd:Q19830060) |

[Assistant]
The query returned one result, indicating that Anne Frank attended the 6th Montessori School Anne Frank. However, it would be useful to verify if this is the complete list of schools she attended. Let's check if there are any additional schools listed by using a more detailed query that includes optional labels for better readability.

```sparql
SELECT ?school ?schoolLabel WHERE {
  wd:Q4583 wdt:P69 ?school .
  OPTIONAL { ?school rdfs:label ?schoolLabel . FILTER(LANG(?schoolLabel) = "en") }
}
```

I will now execute this query.

[Tool]
Got 1 row and 2 columns:
| school                                          | schoolLabel                           |
| ----------------------------------------------- | ------------------------------------- |
| 6th Montessori School Anne Frank (wd:Q19830060) | 6th Montessori School Anne Frank (en) |

[Assistant]
The query confirms that Anne Frank attended the 6th Montessori School Anne Frank. Since the result is consistent and no additional schools were found, we can conclude that this is the school she attended.

Here is the final SPARQL query and answer:

```sparql
SELECT ?school ?schoolLabel WHERE {
  wd:Q4583 wdt:P69 ?school .
  OPTIONAL { ?school rdfs:label ?schoolLabel . FILTER(LANG(?schoolLabel) = "en") }
}
```

Answer: Anne Frank attended the 6th Montessori School Anne Frank.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the school Anne Frank attended, and the answer provided is accurate based on the information retrieved from the knowledge graph.