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

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

Justin Bieber comes from Canada.

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

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

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

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

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

[User] what country does justin bieber come from?

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

[Tool]
Example 1:
Question:
what 3 countries does mexico border?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q96 wdt:P47 ?x .
}
LIMIT 3

Using entities:
Mexico, also known as US of M, United Mexican States, MXN, MX, Mexican United States (wd:Q96): country in North America

Using properties:
shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.

Example 2:
Question:
what money do they use in chile?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q298 wdt:P38 ?x .
}

Using entities:
Chile, also known as cl, Republic of Chile, CHI, República de Chile, CL (wd:Q298): country in South America

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 3:
Question:
who did elton john marry first?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q2808 p:P26 ?p .
  ?p ps:P26 ?x ; pq:P580 ?y .
}
ORDER BY ?y
LIMIT 1

Using entities:
Elton John, also known as Reggie Dwight, Rockaday Johnnie, Reg Dwight, Prince Rhino, Sir Elton Hercules John (wd:Q2808): British singer, songwriter and musician, HIV/AIDS activist, recording artist, keyboardist, film actor, composer, musician, lyricist, pianist, singer

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

[Assistant] Based on the examples, we need to find the country Justin Bieber comes from. We'll start by searching for Justin Bieber in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Justin Bieber, also known as Justin Drew Bieber (wd:Q34086): Canadian singer (born 1994), musician
2. Lili Elbe, also known as Einar Mogens Andreas Wegener, Einar Wegener, Justin Bieber, Lili Ilse Elvenes (wd:Q1140735): Danish painter and transgender woman (1882–1931), painter
3. Justin Bieber (wd:Q127000216): Is It A Good Idea To Microwave This? experiment 296
4. Justin Bieber, also known as Saturday Night Live S38E13, Saturday Night Live, season 38 episode 13 (wd:Q110037270): episode of Saturday Night Live (S38 E13)
5. Justin Bieber: Seasons (wd:Q84078716): docu-series
6. Kristian Marolt, also known as Croatian Justin Bieber (wd:Q49272382): Croatian singer-songwriter, singer-songwriter
7. Promo: Justin Bieber (wd:Q110056122): sketch from Saturday Night Live
8. Justin Bieber's Believe (wd:Q15285106): 2013 American biographical concert film directed by Jon M. Chu
9. Asim Azhar, also known as Justin Bieber of Pakistan, The Justin Bieber of Pakistan (wd:Q66771659): Pakistani singer-songwriter, singer-songwriter
10. Justin Bieber: Our World (wd:Q108704270): 2021 film directed by Michael D. Ratner

[Assistant] The top result is the correct Justin Bieber. Now let's look for the property that indicates his place of birth or origin.

[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 wdt/p): 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 wdt/p): most specific known birth location of a person, animal or fictional character, location
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. name in native language, also known as native name (wd:P1559 as wdt/p): name of a person in their native language, name
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
8. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/p): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
9. record label, also known as label, labels (wd:P264 as wdt/p): brand and trademark associated with the marketing of subject music recordings and music videos
10. Pitchfork artist ID, also known as Pitchfork, Pitchfork ID (wd:P8819 as wdt/p): identifier for musical artists on the Pitchfork website

No other items found

[Assistant]
The most relevant property here is "country of citizenship" (P27). Let's use this property to find out the country Justin Bieber is a citizen of, which should indicate his country of origin.

Now, let's construct a SPARQL query to get the country of citizenship for Justin Bieber.

```sparql
SELECT ?country WHERE {
  wd:Q34086 wdt:P27 ?country .
}
```

Let's execute this query.

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

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

Here is the final SPARQL query and answer:

```sparql
SELECT ?country WHERE {
  wd:Q34086 wdt:P27 ?country .
}
```

Answer: Justin Bieber comes from Canada.

[Tool] Stopped generation process


Failed to generate SPARQL 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 need to identify the relevant entities and properties for our question. We are looking for the Vice President of the United States during Bill Clinton's presidency. 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 correct entity for Bill Clinton is `wd:Q1124`. Now, let's find the property that links a president to their vice president. We can search for properties related to "vice president" to find the appropriate one.

[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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): senior official in an educational institution., director / manager, chairperson
5. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): position of the head of this item
8. vice-county, also known as Praeger vice-county, Watsonian vice-county, vice county (wd:P1887 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): political office that is fulfilled by the head of state of this item

[Assistant] The property that seems most relevant is `wd:P2098`, which stands for "substitute/deputy/replacement of office/officeholder." However, it might not be specific enough for the role of Vice President. Let's check if there is a more specific property by searching for properties related to "vice president" specifically for Bill Clinton.


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

Rainn Wilson (wd:Q349548) plays Dwight Schrute in The Office.

[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:
who is chris cooley married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q2964688 wdt:P26 ?x .
}

Using entities:
Chris Cooley, also known as Christopher Ken Cooley (wd:Q2964688): player of American football, American football player

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 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 p/ps): 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:
what did alvin smith died from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q4738229 wdt:P509 ?x .
}

Using entities:
Alvin Smith (wd:Q4738229): Later Day Saints Smith family member, writer

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] From the examples, we can see that the structure of the SPARQL query depends on the type of information we're looking for. In our case, we want to know who plays Dwight in The Office. We need to identify the entity for Dwight Schrute and the property that links him to his actor. Let's start by searching for the entity "Dwight Schrute".

[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`. Now, we need to find the property that links this character to the actor who plays him. Based on the second example, it seems like the property `voice actor` (P725) might be relevant, but since this is a live-action show, we should look for a property like `cast member` (P161). Let's search for the property `cast member`.

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): particular item that initiates this action or class of actions
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): object depicting this subject (object being creative works such as books, films, paintings)
7. character role, also known as role, plays, performer of, as, acting role (wd:P453 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
8. describes actor of (wd:P12027 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
9. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
10. film crew member (wd:P3092 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): member of the crew creating an audiovisual work, used for miscel... available: notably for cast member (P161), director (P57), etc., significant person

[Assistant]
The property `cast member` (P161) is the most relevant for our query. Now, let's construct a simple SPARQL query to find the actor who plays Dwight Schrute in The Office.

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 wdt:P161 ?actor .
}
```

I'll execute this query to see if it returns the correct result.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `cast member` (P161) did not return any results for Dwight Schrute. This might be because the property is used differently or there might be another property that links the character to the actor. Let's try using the property `voice actor` (P725) even though it's typically used for voice roles in animations. We can also check if there are any other properties that might be relevant.

Let's search for properties related to "actor" for the entity Dwight Schrute.

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 `performer` (P175) seems to be the most relevant for linking the character to the actor. Let's try using this property in our SPARQL query.

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 wdt:P175 ?actor .
}
```

I'll execute this query to see if it returns the correct result.

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

[Assistant]
The query returned the correct result. Rainn Wilson (wd:Q349548) plays Dwight Schrute in The Office.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q4169030 wdt:P175 ?actor .
}
```

Answer: Rainn Wilson (wd:Q349548) plays Dwight Schrute in The Office.

[Tool] Stopped generation process


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

The important holidays of Islam include 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 can see that to find the important holidays of Islam, we need to identify the entity for Islam and then look for properties that might relate to holidays or festivals. Let's first search for the entity representing 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 that might relate 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): significant or notable events associated with the subject
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. 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 wdt/p): URL of a web page containing the full body of this item, URL
10. has use, also known as utility, used in, used for, used as, use (wd:P366 as wdt/p): main use of the subject (includes current and former usage)

No other items found

[Assistant]
From the list of properties, `P547` (commemorates) seems to be the most relevant for finding holidays or festivals. However, it might not directly give us the holidays of Islam. Let's try another approach by searching for properties related to "festival" or "holiday" in general and see if they are used with Islam.

Let's search for properties related to "festival" or "holiday" in general.

[Tool]
Top 10 property alternatives:
1. Festivaletteratura person ID, also known as Festivaletteratura person identifier (wd:P9880 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): identifier for a person on the Festivaletteratura website
2. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): significant or notable events associated with the subject
3. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
4. parliamentary group, also known as faction, party organization, party (wd:P4100 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): parliamentary group to which a member of a parliament belongs, member of
5. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the political party of which a person is or has been a member or otherwise affiliated, member of
6. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
7. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): studio or location where a musical composition/release was recorded, recording location
8. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): home stadium or venue of a sports team or applicable performing arts organization, location
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
10. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): larger work that a given work was published in, like a book, journal or music album, part of

[Assistant]
None of these properties seem to directly relate to holidays or festivals. Let's try searching for properties related to "holiday" instead.

Let's search for properties related to "holiday" in general.

[Tool]
Top 10 property alternatives:
1. set during recurring event, also known as narrative event, narrative holiday, set during event, set during holiday (wd:P9215 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): recurring event (e.g. season, month, holiday) during which this fictional work is set
2. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
3. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): when a specific holiday or periodic event occurs. Can be used as property or qualifier
4. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)
5. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
6. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
7. day of week, also known as day of the week, days of week (wd:P2894 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): day of the week on which this item occurs, applies to or is valid
8. feast day (wd:P841 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): saint's principal feast day
9. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): what the place, monument, memorial, or holiday, commemorates, main subject
10. birthday, also known as b-day, bday, birth day (wd:P3150 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth

[Assistant]
From the list of properties, `P832` (public holiday) and `P9215` (set during recurring event) seem to be the most relevant for finding holidays or festivals. Let's use `P832` to find the public holidays associated with Islam.

We will execute a SPARQL query to find the public holidays of Islam.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there are no direct public holidays associated with Islam using the `P832` property. Let's try another approach by searching for entities that are labeled as holidays or festivals and then check if they are related to Islam.

First, let's search for entities labeled as holidays or festivals.

[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` (Islamic holidays) seems to be the most relevant. Let's explore the properties and objects associated with this entity to find the specific holidays.

We will execute a SPARQL query to find the specific holidays associated with `wd:Q6484291`.

[Tool]
Got 1 row and 1 column:
| holiday                                         |
| ----------------------------------------------- |
| religious and cultural festive day (wd:Q375011) |

[Assistant]
The query returned `wd:Q375011` (religious and cultural festive day) as a type of Islamic holiday. However, this is a general category rather than specific holidays. Let's try to find the specific holidays by looking for properties that link `wd:Q6484291` to individual holidays.

We will execute a SPARQL query to find the specific holidays associated with `wd:Q6484291`.

[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 following specific Islamic holidays:

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

These are the important holidays of Islam. Let's finalize the SPARQL query and provide the answer.

Here is the final SPARQL query and the answer:

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

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

[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:P945 ?country
}

The result shows that Ferdinand Magellan's allegiance was to the Spanish Empire (wd:Q80702). Therefore, the country he represented during his voyages was the Spanish Empire.

Here is the final SPARQL query and answer:

```sparql
SELECT ?country WHERE {
  wd:Q1496 wdt:P945 ?country
}
```

Answer: The country Magellan represented was the Spanish Empire.

[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] Now let's search for the entity "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] From the search results, it seems that the entity we are interested in is "Ferdinand Magellan" (wd:Q1496). Let's confirm this by listing the properties of this entity.

[Tool]
Got 1,033 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------- |
| Ferdinand Magellan (wd:Q1496) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Ferdinand Magellan (wd:Q1496) | occupation (wdt:P106)            | sailor (wd:Q45199)                                                                                |
| Ferdinand Magellan (wd:Q1496) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Ferdinand Magellan (wd:Q1496) | given name (wdt:P735)            | Fernão (wd:Q18171074)                                                                              |
| Ferdinand Magellan (wd:Q1496) | date of birth (wdt:P569)         | 1480-01-01T00:00:00Z (xsd:dateTime)                                                                |
| Ferdinand Magellan (wd:Q1496) | Commons category (wdt:P373)      | Ferdinand Magellan                                                                                |
| Ferdinand Magellan (wd:Q1496) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Retrato%20de%20Hernando%20de%20Magallanes.jpg> |
| Ferdinand Magellan (wd:Q1496) | country of citizenship (wdt:P27) | Kingdom of Portugal (wd:Q45670)                                                                    |
| Ferdinand Magellan (wd:Q1496) | family name (wdt:P734)           | de Magalhães (wd:Q109590735)                                                                       |
| Ferdinand Magellan (wd:Q1496) | described at URL (wdt:P973)      | <http://www.digiporta.net/index.php?id=143424712>                                                  |
| ...                           | ...                              | ...                                                                                |

[Assistant]
From the list of properties, we can see that Ferdinand Magellan was a citizen of the Kingdom of Portugal (wd:Q45670). However, the question asks about the country he represented during his voyages. Since Magellan undertook his famous voyage under the sponsorship of Spain, we need to look for a property that indicates the country he served or represented.

Let's search for properties related to "representation" or "service" for Ferdinand Magellan.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
5. allegiance, also known as ally of, fidelity, loyal to, loyalty, supporter of (wd:P945 as wdt/p): country (or other power) that the person or group serves
6. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as wdt/p): image of a person's signature, image
7. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
8. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
9. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
10. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in

No other items found

[Assistant] The property "allegiance" (wd:P945) seems to be the most relevant for determining the country Magellan represented. Let's check the value of this property for Ferdinand Magellan.

[Tool]
Got 1 row and 1 column:
| country                    |
| -------------------------- |
| Spanish Empire (wd:Q80702) |

[Assistant]
The result shows that Ferdinand Magellan's allegiance was to the Spanish Empire (wd:Q80702). Therefore, the country he represented during his voyages was the Spanish Empire.

Here is the final SPARQL query and answer:

```sparql
SELECT ?country WHERE {
  wd:Q1496 wdt:P945 ?country
}
```

Answer: The country Magellan represented was the Spanish Empire.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?school WHERE {
  wd:Q4583 wdt:P69 ?school .
}

Anne Frank went to 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 then find the property that indicates where she went to school. Let's start by searching for 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 find out the property that indicates where she went to school. We can search for properties related to education or school for this entity.

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdt/p): location where persons or organisations were actively participating in employment, business or other work, significant place, location
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
7. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
9. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject

No other items found

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

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

I will now execute this query to get the result.

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

[Assistant]
The SPARQL query returned the school where Anne Frank attended. She went to the 6th Montessori School Anne Frank.

Here is the final SPARQL query and the answer:

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

Answer: Anne Frank went to the 6th Montessori School Anne Frank.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?isthmus ?coordinates ( SAMPLE( ?label ) AS ?isthmusLabel ) WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  OPTIONAL {
    wd:Q182139 rdfs:label ?label .
    FILTER ( LANG( ?label ) = "en" )
  }
}
GROUP BY ?isthmus ?coordinates

The Isthmus of Panama is located at approximately 9.00° North latitude and 79.00° West longitude.

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

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

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

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

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

[User] where is isthmus of panama located on the map?

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

[Tool]
Example 1:
Question:
who was marilyn monroe's parents?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q4616 wdt:P22 | wdt:P25 ?x .
}

Using entities:
Marilyn Monroe, also known as Norma Jean Miller, Norma Jean Mortenson, Norma Jeane Dougherty, Norma Jeane Mortenson, Norma Jeane Baker (wd:Q4616): American actress and model (1926–1962), Playboy Playmate, autobiographer, fashion model, film producer, photo model, film actor, singer, actor, model

Using properties:
father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

Example 2:
Question:
what god does taoism believe in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P1049 wd:Q9598 .
}

Using entities:
Taoism, also known as Daoism (wd:Q9598): religious or philosophical tradition of Chinese origin

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 did ryan dunn died from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q316036 wdt:P509 ?x .
}

Using entities:
Ryan Dunn, also known as Ryan M. Dunn, Ryan Matthew Dunn (wd:Q316036): American actor and stunt performer (1977–2011), television presenter, stunt performer, film actor, 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] From the examples, we can see how to structure a basic SPARQL query to find information about a specific entity. In our case, we need to find the location of the Isthmus of Panama. Let's first search for the entity "Isthmus of Panama" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Isthmus of Panama, also known as Istmo de Panama, Istmo de Panamá, Panama Isthmus (wd:Q182139): narrow landstrip in Panama
2. Hydrology of the Isthmus of Panama (wd:Q33778332): scientific article
3. Ferns of the Isthmus of Panama (wd:Q56189008)
4. Formation of the Isthmus of Panama (wd:Q26740287): scientific article
5. Historical biogeography of the Isthmus of Panama (wd:Q30656167): scientific article
6. Piercing the Isthmus of Panama 1 (wd:Q60414062): scientific article published in Nature
7. Across the Isthmus of Panama in 1912 (wd:Q3604775): 1912 film
8. How old is the Isthmus of Panama? (wd:Q61465180): article published in 2013
9. Dengue-like fever on the Isthmus of Panama. (wd:Q41093706): scientific article published on January 1945
10. Fauna of the Gatun Formation, Isthmus of Panama (wd:Q106954095)

[Assistant] The top result is the entity we're looking for: "Isthmus of Panama" (wd:Q182139). Now, let's find out what properties are associated with this entity, particularly those related to its location.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/p): body of water on or next to which a place is located, location
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/wdt/p): identifier from an international authority file of names, subjects, and organizations
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as wdtn/wdt/p): identifier in the GeoNames geographical database

No other items found

[Assistant]
The most relevant property for the location of the Isthmus of Panama is `coordinate location` (wd:P625). This property provides the geocoordinates of the subject. Let's construct a SPARQL query to retrieve the coordinates of the Isthmus of Panama.

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

Here is the SPARQL query:

```sparql
SELECT ?isthmus ?coordinates (SAMPLE(?label) AS ?isthmusLabel)
WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  OPTIONAL { wd:Q182139 rdfs:label ?label . FILTER(LANG(?label) = "en") }
}
GROUP BY ?isthmus ?coordinates
```

Let's execute this query.

[Tool]
Got 1 row and 3 columns:
| isthmus | coordinates                                 | isthmusLabel           |
| ------- | ------------------------------------------- | ---------------------- |
|         | POINT(-79.000000 9.000000) (geo:wktLiteral) | Isthmus of Panama (en) |

[Assistant]
The SPARQL query successfully retrieved the coordinates of the Isthmus of Panama. The coordinates are `POINT(-79.000000 9.000000)`.

To provide a clear answer to the user, we can say that the Isthmus of Panama is located at approximately 9.00° North latitude and 79.00° West longitude.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?isthmus ?coordinates (SAMPLE(?label) AS ?isthmusLabel)
WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  OPTIONAL { wd:Q182139 rdfs:label ?label . FILTER(LANG(?label) = "en") }
}
GROUP BY ?isthmus ?coordinates
```

Answer: The Isthmus of Panama is located at approximately 9.00° North latitude and 79.00° West longitude.

Now, let's finalize this with the `answer` function.

[Tool] Stopped generation process