PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?government WHERE {
  wd:Q928 wdt:P122 ?government .
}

Got 1 row and 1 column:
| ?government         |
| ------------------- |
| republic (wd:Q7270) |

The Philippines has a republican form of government.

[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 form of government do we have in the philippines?

[Tool]
Top 10 entity alternatives:
1. Philippines, also known as ph, The Philippines, RP, Republic of the Philippines, Philippine Islands (wd:Q928): archipelagic country in Southeast Asia
2. Philippines (wd:Q70886687): scientific article published on 01 January 1966
3. Philippines (wd:Q116754458): scientific article published on 15 November 2001
4. Philippines (wd:Q47409215): scientific article published in August 1986
5. Philippines (wd:Q57715247): entry in Encyclopedia of Global Warming & Climate Change
6. Philippines. (wd:Q39611725): scientific article published on September 1983
7. Philippines (wd:L1259985-S1)
8. Philippines (wd:L476739-F2)
9. Philippines (wd:L254248-F1)
10. Philippines (wd:L254248)

[Assistant] The Philippines is wd:Q928. Now I will search for the property form of government of the Philippines.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as p/wdt): political office that is fulfilled by the head of the government of this item
5. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as p/wdt): political office that is fulfilled by the head of state of this item
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
8. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as p/wdt): diplomatic relations of the country
9. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
10. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)

No other items found

[Assistant] The property is basic form of government (wd:P122).

[Tool]
Got 1 row and 3 columns:
| subject               | property                            | object              |
| --------------------- | ----------------------------------- | ------------------- |
| Philippines (wd:Q928) | basic form of government (wdt:P122) | republic (wd:Q7270) |

[Assistant] The form of government of the Philippines is republic (wd:Q7270).

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie ?movieLabel WHERE {
  ?movie wdt:P31 wd:Q11424 .
  ?movie wdt:P57 wd:Q103646 .
  ?movie rdfs:label ?movieLabel .
  FILTER ( LANG( ?movieLabel ) = "en" )
}

Got 36 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                             | ?movieLabel         |
| ---------------------------------- | ------------------- |
| Thirteen Lives (wd:Q105962844)     | Thirteen Lives      |
| Apollo 13 (wd:Q106428)             | Apollo 13           |
| Cocoon (wd:Q1105463)               | Cocoon              |
| Splash (wd:Q1127184)               | Splash              |
| Parenthood (wd:Q1137831)           | Parenthood          |
| ...                                | ...                 |
| Frost/Nixon (wd:Q691672)           | Frost/Nixon         |
| Ransom (wd:Q752362)                | Ransom              |
| Far and Away (wd:Q839341)          | Far and Away        |
| Rebuilding Paradise (wd:Q96314873) | Rebuilding Paradise |
| Night Shift (wd:Q997228)           | Night Shift         |

Here are the movies directed by Ron Howard:
Thirteen Lives, Apollo 13, Cocoon, Splash, Parenthood, The Dilemma, Rush, Solo: A Star Wars Story, Inferno, In the Heart of the Sea, Getaway, Made in America, The Da Vinci Code, Cinderella Man, The Missing, How the Grinch Stole Christmas, EDtv, Apollo 13: The IMAX Experience, Ransom, Apollo 13, Far and Away, Backdraft, Willow, Gung Ho, Cocoon: The Return, Night Shift, Grand Theft Auto, Rebuilding Paradise, Pavarotti, A Beautiful Mind, Ron Howard: 50 Years in Film, Arrested Development: A Conversation, The Beatles: Eight Days a Week, Frost/Nixon

[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 movies did ron howard director?

[Assistant] Okay, let's start by finding the entity for "Ron Howard".

[Tool]
Top 10 entity alternatives:
1. Ron Howard, also known as Ronald William Howard (wd:Q103646): American film director, producer, and actor, television producer, television director, television actor, film producer, film director, screenwriter, voice actor, film actor, director, actor
2. Ron Howard (wd:Q4883): American basketball player, basketball player
3. Ron Howard, also known as Ronald Ford Howard (wd:Q3940969): American football player (born 1951), American football player, basketball player
4. Ron Howard, also known as Ronald John Howard (wd:Q19874445): Australian rules footballer (1940-2023), Australian rules football player
5. Ron Howard, also known as Ron Dean Howard (wd:Q107646515): politician
6. Ron Howard (wd:Q112407850)
7. Ron Howard (wd:Q100982902): college basketball player (1986–1986) U.S. International, basketball player
8. Ronald Howard (wd:Q2165643): British actor (1918–1996), television actor, stage actor, actor
9. Ronald A. Howard, also known as Ronald Arthur Howard, Ronald Howard (wd:Q7364615): management engineer, university teacher, American professor, academic
10. Ronald Howard, also known as Vice-Admiral Ronald Howard (wd:Q75253869): (1878-1959)

[Assistant] The most likely entity is "Ron Howard (wd:Q103646)", who is described as an American film director, producer, and actor. Let's use this entity to find the movies he directed. The property for "director" is likely "wdt:P57". Let's confirm this.

[Tool]
Top 10 property alternatives:
1. Ciné-Ressources person ID, also known as Cine person ID, Ciné-Ressources person identifier, cineressources.net person identifier, cineressources.net person ID, Cine person identifier (wd:P3204 as p/wdt): page of a person on the website "Ciné-Ressources"
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. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. 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
6. filmography, also known as list of films with the person, list of films the person contributed to, list of films about the person (wd:P1283 as p/wdt): item for the list of films a person has contributed to. Don't us...mber" (P161) on items for films, directors with "director" (P57), list of works
7. CineMagia person ID, also known as CineMagia actor ID, CineMagia actor identifier, CineMagia person identifier, Cinemagia.ro person ID, Cinemagia.ro person identifier (wd:P4666 as p/wdt): identifier for a person on the Cinemagia.ro website
8. Open Media Database person ID, also known as OMDb person ID, OMDb person identifier, Open Media Database person identifier (wd:P5534 as p/wdt): identifier for a person in the Open Media Database
9. 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)
10. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation

No other items found

[Assistant] The search for properties of Ron Howard related to "director" did not return "director" (wdt:P57). However, the initial search result for Ron Howard mentioned "film director". Let's try to find the "film director" property.

[Tool]
Top 10 property alternatives:
1. director, also known as film director, movie director, game director, directed by (wd:P57 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
2. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person who manages any kind of group, significant person
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. director of photography, also known as cinematographer, DOP (wd:P344 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person responsible for the framing, lighting, and filtration of the subject work, film crew member
5. 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 pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): position of the head of this item
6. Kinematoscope film director ID (wd:P7484 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): database of film adaptations of literary work (18th and 19th century)
7. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
8. Letterboxd director ID, also known as Letterboxd film director ID, Letterboxd movie director ID (wd:P12383 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): identifier for a film director on the online database Letterboxd
9. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person(s) who wrote the script for subject item, film crew member, author
10. creative director (wd:P12617 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): person who makes high-level creative decisions, director

[Assistant] Okay, "director" (wdt:P57) is indeed the correct property. Now we can construct the SPARQL query.

[Tool] Got no rows and 1 columns

[Assistant] The query returned no results. This could be because the directorship isn't directly stated, or there might be qualifiers involved. Let's try adding labels to the query to see if we get any results with labels.

[Tool] Got no rows and 2 columns

[Assistant] Still no results. Let's try listing the properties of Ron Howard to see if there's a different property that indicates directorship.

[Tool]
Got 815 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                                |
| ----------------------- | -------------------------------- | -------------------------------------------------------------------------------------------- |
| Ron Howard (wd:Q103646) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Ron Howard (wd:Q103646) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                            |
| Ron Howard (wd:Q103646) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                           |
| Ron Howard (wd:Q103646) | given name (wdt:P735)            | Ronald William (wd:Q64836125)                                                                |
| Ron Howard (wd:Q103646) | date of birth (wdt:P569)         | 1954-03-01T00:00:00Z                                                                         |
| Ron Howard (wd:Q103646) | Commons category (wdt:P373)      | Ron Howard                                                                                |
| Ron Howard (wd:Q103646) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Ron%20Howard%202011%20Shankbone%203.JPG> |
| Ron Howard (wd:Q103646) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                       |
| Ron Howard (wd:Q103646) | family name (wdt:P734)           | Howard (wd:Q908051)                                                                          |
| Ron Howard (wd:Q103646) | place of birth (wdt:P19)         | Duncan (wd:Q3041247)                                                                         |
| ...                     | ...                              | ...                                                                                |

[Assistant] The list of properties confirms that `wdt:P57` (director) is indeed a property of Ron Howard. The lack of results might indicate that the information is not directly asserted but inferred through other relations. Let's try a more general query to find all entities related to Ron Howard and then filter for movies.

[Tool]
Got 815 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?relation                             | ?object                                                 |
| ------------------------------------- | ------------------------------------------------------- |
| schema:description                    | "acteur, réalisateur et producteur américain"@fr        |
| schema:description                    | "actor american"@ro                                     |
| schema:description                    | "actor, director i productor estatunidenc"@ca           |
| schema:description                    | "actor, director y productor de cine estadounidense"@es |
| schema:description                    | "actor estadounidense"@gl                               |
| ...                                   | ...                                                     |
| National Library of Spain ID (p:P950) | s:Q103646-B84C1C4D-B929-451F-8C51-035CA16B6E07          |
| Podchaser creator ID (p:P9743)        | s:Q103646-36298774-6271-4BB7-AFEE-75A0EB73E14A          |
| SNK ID (p:P9807)                      | s:Q103646-78D7A5D5-8D2A-4F15-A063-728CAA0A1FCC          |
| CANTIC ID (p:P9984)                   | s:Q103646-BB961A5B-58DF-45F5-8F3F-66DD17537716          |
| MYmovies person ID (p:P9995)          | s:Q103646-BB29EFC1-C3E8-48DA-B083-01559BFB1402          |

[Assistant] Now, let's refine the query to find movies directed by Ron Howard.

[Tool] Got no rows and 2 columns

[Assistant] Still no results. Let's try a different approach. We'll search for movies and then check if Ron Howard is the director.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed due to an issue with the service. Let's try the same query without the service.

[Tool]
Got 36 rows and 1 column, showing the first 5 and last 5 rows below:
| ?movie                             |
| ---------------------------------- |
| Thirteen Lives (wd:Q105962844)     |
| Apollo 13 (wd:Q106428)             |
| Cocoon (wd:Q1105463)               |
| Splash (wd:Q1127184)               |
| Parenthood (wd:Q1137831)           |
| ...                                |
| Frost/Nixon (wd:Q691672)           |
| Ransom (wd:Q752362)                |
| Far and Away (wd:Q839341)          |
| Rebuilding Paradise (wd:Q96314873) |
| Night Shift (wd:Q997228)           |

[Assistant] We have a list of movies. Now let's add the movie labels.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 113 for token . with content '.' (the input most likely does not follow the grammar)

[Assistant] I made a syntax error in the query. Let's fix it.

[Tool]
Got 36 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                             | ?movieLabel         |
| ---------------------------------- | ------------------- |
| Thirteen Lives (wd:Q105962844)     | Thirteen Lives      |
| Apollo 13 (wd:Q106428)             | Apollo 13           |
| Cocoon (wd:Q1105463)               | Cocoon              |
| Splash (wd:Q1127184)               | Splash              |
| Parenthood (wd:Q1137831)           | Parenthood          |
| ...                                | ...                 |
| Frost/Nixon (wd:Q691672)           | Frost/Nixon         |
| Ransom (wd:Q752362)                | Ransom              |
| Far and Away (wd:Q839341)          | Far and Away        |
| Rebuilding Paradise (wd:Q96314873) | Rebuilding Paradise |
| Night Shift (wd:Q997228)           | Night Shift         |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?school WHERE {
  wd:Q19526 wdt:P69 ?school .
}

George Washington High School (wd:Q5545977)

[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 high school did maya angelou go to?

[Assistant] Okay, let's start by identifying the entity for Maya Angelou.

[Tool]
Top 10 entity alternatives:
1. Maya Angelou, also known as Marguerite Annie Johnson, Marguerite Ann Johnson, Marguerite Johnson, Marguerite Anne Johnson (wd:Q19526): American poet, author, and civil rights activist (1928–2014), human rights activist, television producer, television actor, autobiographer, film producer, film director, screenwriter, stage actor, playwright, journalist, politician, songwriter, professor, essayist, novelist, dancer, singer, writer
2. Maya Angelou, also known as Marguerite Ann Johnson, Marguerite Annie Johnson, Marguerite Johnson, Marguerite Anne Johnson (wd:Q19526): American poet, author, and civil rights activist (1928–2014), human rights activist, television producer, television actor, autobiographer, film director, film producer, screenwriter, stage actor, journalist, playwright, songwriter, politician, professor, essayist, novelist, writer, singer, dancer
3. Maya Angelou (wd:Q108467711): magazine article from 'American Funeral Director' published in 2014
4. Maya Angelou (wd:Q47513615): painting by Ross R. Rossin
5. Maya Angelou Academy (wd:Q14692192): American alternative school
6. Maya Angelou Birthplace, also known as Birthplace of Maya Angelou (wd:Q132261323): The house in St. Louis, Missouri where Maya Angelou was born
7. Maya Angelou, 1928-2014 (wd:Q116228315): journal article
8. Maya Angelou Library (wd:Q66364225): public library in Stockton, California, USA
9. Maya Angelou Northeast (wd:Q69781127): public library in Wichita, Kansas, USA
10. rue Maya Angelou (wd:Q125778051)

[Assistant] The correct entity is Maya Angelou (wd:Q19526). Now let's find the property for "high school". Since I don't know the exact property, I will search for properties of Maya Angelou related to "education".

[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 p/wdt): educational institution attended by subject, affiliation
2. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
3. 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
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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. 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)
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. 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
8. 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)
9. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
10. 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)

No other items found

[Assistant] The property "educated at" (wdt:P69) seems appropriate. Now I will construct a SPARQL query to find the high school Maya Angelou attended.

[Tool] Got no rows and 1 columns

[Assistant] I added the constraint that the school must be a high school (wd:Q36777). Let's try removing this constraint to see what schools are listed.

[Tool]
Got 2 rows and 1 column:
| ?school                                     |
| ------------------------------------------- |
| California Labor School (wd:Q16850567)      |
| George Washington High School (wd:Q5545977) |

[Assistant] Okay, it looks like Maya Angelou attended California Labor School and George Washington High School. Let's return George Washington High School.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?college WHERE {
  wd:Q7336 wdt:P69 ?college .
}

Otto Frank went to Heidelberg University.

[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 otto frank go to college?

[Assistant] Okay, let's start by identifying the entity "Otto Frank" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Frank Otto (wd:Q1443909): German water polo player, water polo player
2. Otto Frank, also known as Otto Friedrich Frank, Friedrich Wilhelm Ferdinand Otto Frank (wd:Q89925): German physiologist (1865–1944), university teacher, cardiologist, physiologist, physician
3. Frank Otto (wd:Q1443902): German media entrepreneur, film director, geologist, director
4. Frank Otto (wd:Q16104521): American linguist (1936-2017), linguist
5. Frank Otto (wd:Q1443905): German historian of modern age, historian of Modern Age, writer
6. Otto Frank (wd:Q36977791): German FDP politician (1900-1963), politician
7. Otto Frank (wd:Q94791903): military officer, cartographer
8. Frank Otto (wd:Q96110480): researcher
9. Otto Frank (wd:Q94941069): engineer
10. Otto Frank (wd:Q116960730): Austrian architect, architect

[Assistant] The most likely entity is "Otto Frank (wd:Q89925)". Let's confirm this is the correct Otto Frank by searching for properties related to him. I'll search for properties related to "education".

[Tool]
Top 10 property alternatives:
1. 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
2. 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)
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
4. 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
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. 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)
8. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdt/p): person or organization for which the subject works or worked, affiliation
9. 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
10. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)

No other items found

[Assistant] The search results don't directly show an "education" property. However, we can try "educated at" or "student of". Let's try searching for "educated at" as a property.

[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/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): educational institution attended by subject, affiliation
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): person or organization who grants an award, certification, grant, or role
3. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): person who has taught this person, significant person
4. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): notable student(s) of the subject individual, significant person
5. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): subject is studied by this science or domain, field of work
6. gender educated (wd:P7419 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): genders educated at this educational institution
7. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): major someone studied at college/university
8. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
9. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): academic degree that the person holds
10. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt/p/pqv/pq/psn/psv/ps/prv/wdtn/pqn/pr/prn): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant] "educated at (wd:P69)" seems like the correct property. Now, let's construct a SPARQL query to find the college Otto Frank attended.

[Tool] Got no rows and 1 columns

[Assistant] The query returned no results. This could mean that the information is not available in Wikidata, or that we have the wrong entity. Let's try searching for "Otto Frank" again, to make sure we have the right entity.

[Tool]
Top 10 entity alternatives:
1. Frank Otto (wd:Q1443909): German water polo player, water polo player
2. Otto Frank, also known as Otto Friedrich Frank, Friedrich Wilhelm Ferdinand Otto Frank (wd:Q89925): German physiologist (1865–1944), university teacher, cardiologist, physiologist, physician
3. Frank Otto (wd:Q1443902): German media entrepreneur, film director, geologist, director
4. Frank Otto (wd:Q16104521): American linguist (1936-2017), linguist
5. Frank Otto (wd:Q1443905): German historian of modern age, historian of Modern Age, writer
6. Otto Frank (wd:Q36977791): German FDP politician (1900-1963), politician
7. Otto Frank (wd:Q94791903): military officer, cartographer
8. Frank Otto (wd:Q96110480): researcher
9. Otto Frank (wd:Q94941069): engineer
10. Otto Frank (wd:Q116960730): Austrian architect, architect

[Assistant] My apologies, I seem to have picked the wrong Otto Frank. The correct Otto Frank is the father of Anne Frank. Let me search for "Anne Frank" to find her father.

[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] Anne Frank is "wd:Q4583". Now let's find her father.

[Tool] Got no rows and 3 columns

[Assistant] That didn't work. Let's try the other way around.

[Tool]
Got 1 row and 3 columns:
| subject               | property         | object                         |
| --------------------- | ---------------- | ------------------------------ |
| Anne Frank (wd:Q4583) | father (wdt:P22) | Otto Heinrich Frank (wd:Q7336) |

[Assistant] Okay, so Anne Frank's father is Otto Heinrich Frank (wd:Q7336). Now let's find where he was educated.

[Tool]
Got 1 row and 1 column:
| ?college                           |
| ---------------------------------- |
| Heidelberg University (wd:Q151510) |

[Assistant] So, Otto Frank went to Heidelberg University.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?school ?schoolLabel WHERE {
  wd:Q52651 wdt:P69 ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| ?school                                  | ?schoolLabel               |
| ---------------------------------------- | -------------------------- |
| Ohio State University (wd:Q309331)       | Ohio State University      |
| East Technical High School (wd:Q5329490) | East Technical High School |
| North Platte High School (wd:Q7056353)   | North Platte High School   |

Jesse Owens attended Ohio State University, East Technical High School, and North Platte High School.

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

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

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

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

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

[User] what was jesse owens education?

[Assistant] I need to find the education of Jesse Owens. I can start by searching for Jesse Owens in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Jesse Owens, also known as James Cleveland "Jesse" Owens, James Cleveland Owens (wd:Q52651): American track and field athlete (1913–1980), athletics competitor, long jumper, sprinter
2. Jesse Owens (wd:Q6186721): 2012 film
3. Jesse Owens Award (wd:Q3540423): awards given out by USA Track and Field
4. Jesse Hickman, also known as Jesse Owens Hickman (wd:Q6186412): American baseball player, baseball player
5. The Jesse Owens Story, also known as Jesse Owens Story, Jessie Owens Story (wd:Q7743138): 1984 television film
6. Jesse Owens Park (wd:Q49507611): park in Pima County, Arizona, United States of America
7. Jesse Owens Park (wd:Q49507612): park in Los Angeles County, California, United States of America
8. Jesse Owens Plaza (wd:Q49507617): park in Franklin County, Ohio, United States of America
9. Jesse Owens Playground (wd:Q49507615): park in Kings County, New York, United States of America
10. Jesse Owens Park, also known as Stony Island Park (wd:Q49566705): park in the United States of America

[Assistant] The most relevant entity is Jesse Owens (wd:Q52651), who was an American track and field athlete. Now I need to find the property related to education. I can use `search_property_of_entity` to find properties of Jesse Owens related to education.

[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 p/wdt): educational institution attended by subject, affiliation
2. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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. 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)
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. 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
8. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
9. 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)
10. 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)

No other items found

[Assistant] The property "educated at" (wd:P69) seems to be the most relevant. Now I can construct a SPARQL query to find the educational institutions that Jesse Owens attended.

[Tool]
Got 3 rows and 1 column:
| ?school                                  |
| ---------------------------------------- |
| Ohio State University (wd:Q309331)       |
| East Technical High School (wd:Q5329490) |
| North Platte High School (wd:Q7056353)   |

[Assistant] The query returns the entities for the schools Jesse Owens attended. I can add labels to the schools to make the result more readable.

[Tool]
Got 3 rows and 2 columns:
| ?school                                  | ?schoolLabel               |
| ---------------------------------------- | -------------------------- |
| Ohio State University (wd:Q309331)       | Ohio State University      |
| East Technical High School (wd:Q5329490) | East Technical High School |
| North Platte High School (wd:Q7056353)   | North Platte High School   |

[Assistant] I have the schools that Jesse Owens attended. Now I can provide the answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?religion ?religionLabel WHERE {
  wd:Q252 wdt:P140 ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel .
    FILTER ( LANG( ?religionLabel ) = 'en' )
  }
}

Got 6 rows and 2 columns:
| ?religion                 | ?religionLabel |
| ------------------------- | -------------- |
| Catholicism (wd:Q1841)    | Catholicism    |
| Protestantism (wd:Q23540) | Protestantism  |
| Islam (wd:Q432)           | Islam          |
| Buddhism (wd:Q748)        | Buddhism       |
| Hinduism (wd:Q9089)       | Hinduism       |
| Confucianism (wd:Q9581)   | Confucianism   |

The religions practiced in Indonesia are Catholicism, Protestantism, Islam, Buddhism, Hinduism, and Confucianism.

[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 religions practiced in indonesia?

[Assistant] Okay, I need to find the religions practiced in Indonesia. I can start by searching for the entity "Indonesia" and then look for properties related to religion.

[Tool]
Top 10 entity alternatives:
1. Indonesia, also known as id, ID, IDN, INA, Republic of Indonesia (wd:Q252): island country in Southeast Asia and Oceania
2. Nusantara, also known as Indonesian Islands, Old Javanese name for Indonesia, Nusantara Islands, Nusantara Archipelago, Indonesian Archipelago (wd:Q49332): Old Javanese term for the archipelagic Majapahit territory
3. Indonesia, also known as Indonesia Raya (wd:Q6025895): song
4. Indonesia, also known as Kota Palopo, Palopo (wd:Q12497996): village in Palopo Kota Palopo Sulawesi Selatan, South Sulawesi, Indonesia
5. indonesia (wd:Q97375377)
6. Indonesia (wd:Q20203516): 1981 single by Sandra Reemer
7. Indonesia at the 1982 Asian Games, also known as Indonesia (wd:Q16927493): sporting event delegation
8. Indonesia (wd:Q43379569): board game
9. INDONESIA (wd:Q127048047): hymn tune
10. Indonesia. (wd:Q30744720): scientific article

[Assistant] The first result, "Indonesia (wd:Q252)", seems to be the correct entity. Now I need to find properties related to religion for this entity.

[Tool]
Top 10 property alternatives:
1. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
2. 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
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
6. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
7. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
8. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
9. 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)
10. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used

No other items found

[Assistant] The property "religion or worldview (wd:P140)" seems to be the most relevant. Now I can construct a SPARQL query to find the religions practiced in Indonesia.

[Tool]
Got 6 rows and 1 column:
| ?religion                 |
| ------------------------- |
| Catholicism (wd:Q1841)    |
| Protestantism (wd:Q23540) |
| Islam (wd:Q432)           |
| Buddhism (wd:Q748)        |
| Hinduism (wd:Q9089)       |
| Confucianism (wd:Q9581)   |

[Assistant] The query returns the religions practiced in Indonesia. I can add labels to the results to make them more readable.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coords WHERE {
  wd:Q783 wdt:P625 ?coords .
}

Honduras is located at POINT(-86.816667 14.633333).

[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 honduras in the world?

[Assistant] I need to find the location of Honduras. I can use the `search_entity` function to find the entity for Honduras and then use its coordinates.

[Tool]
Top 10 entity alternatives:
1. Honduras, also known as hn, HN, HND, HON, Honduran Republic (wd:Q783): sovereign state in Central America
2. Hong Shengde, also known as Honduras (wd:Q9306612): Taiwanese actor, presenter, actor
3. Honduras, also known as Honduras, Barranquitas, Honduras Barrio, Honduras, Puerto Rico (wd:Q2879306): barrio in Barranquitas, Puerto Rico
4. Honduras, also known as Honduras, Cidra, Honduras, Puerto Rico, Honduras Barrio (wd:Q5901523): barrio in Cidra, Puerto Rico
5. Honduras, also known as Honduras, IN, Honduras, Indiana (wd:Q5893062): unincorporated community in Adams County, Indiana, United States
6. Honduras (wd:Q5901519): 1814 schooner
7. Honduras (wd:Q12891576)
8. Honduras (wd:Q12891575)
9. Honduras de la Sierra, also known as Honduras (wd:Q49978176): human settlement of Chiapas, Mexico
10. Honduras (wd:Q41377915): scientific article published on August 1985

[Assistant] The first result, "Honduras (wd:Q783): sovereign state in Central America", seems to be the correct one. Now I need to find a property that describes its location. I can use `search_property_of_entity` to search for properties related to location for Honduras.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as p/wdt): geographic data from Wikimedia Commons
3. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
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. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. motto text, also known as mission statement, travel slogan, tourism slogan, tagline, strapline (wd:P1451 as p/wdt): short motivation sentence associated to item
10. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject

No other items found

[Assistant] The property `coordinate location (wd:P625)` seems to be the most appropriate. I will now construct a SPARQL query to retrieve the coordinate location of Honduras.

[Tool]
Got 1 row and 1 column:
| ?coords                     |
| --------------------------- |
| POINT(-86.816667 14.633333) |

[Assistant] The query returned the coordinates of Honduras. I can now provide the answer.

[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] what is the current time in kauai hawaii?

[Assistant] I cannot answer questions that require real-time information, such as the current time. I can only access factual knowledge from the knowledge graph.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q79 wdt:P37 ?language .
}

Arabic

[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 kind of language do egyptian speak?

[Assistant] I need to find the language spoken in Egypt. I can start by searching for the entity "Egypt" and the property "official language".

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Republic of Egypt, Rep. Egypt, EGY, eg, Arab Republic of Egypt (wd:Q79): country in Northeast Africa and Southwest Asia
2. Khedivate of Egypt, also known as Egypt, Egyptian Khedivate (wd:Q127861): 1867-1914 monarchy in Northeastern Africa
3. Egypt Eyalet, also known as QASR of Egypt, Pashalik of Egypt, Egypt, Mısır Eyalet, Beylerbeyilik of Egypt (wd:Q491507): Egyptian State (1517–1867)
4. Egypt, also known as Egypt, AK, Egypt, AR (wd:Q2083973): town in Arkansas
5. Egypt, also known as Egypt, Etowah County, Alabama, Egypt, AL (wd:Q5348296): census-designated place in Etowah County, Alabama
6. Egypt, also known as Egypt, Pennsylvania (wd:Q5348306): human settlement in Pennsylvania, United States
7. Egypt 1156 B.C., also known as Egypt, Egypt 1156 B.C.: Tomb of the Pharaoh (wd:Q3586212): 1999 video game
8. Egypt, also known as Egypt, WV (wd:Q5348310): unincorporated community in Jefferson County, West Virginia
9. Egypt (wd:Q5348317): 2004 album by Youssou N'Dour
10. Egypt, also known as Egypt, IN, Egypt, Indiana (wd:Q5348297): unincorporated community in Jasper County, Minnesota

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pqn/wdt/ps/prv/pq/wdtn/prn/psn/pr/p/psv/pqv): language in which the writer has written their work, languages spoken, written or signed

[Assistant] I have found "Egypt" (wd:Q79) and "official language" (wdt:P37). Now I can construct a SPARQL query to find the official language of Egypt.

[Tool]
Got 1 row and 1 column:
| ?language          |
| ------------------ |
| Arabic (wd:Q13955) |

[Assistant] The query returned "Arabic" (wd:Q13955) as the official language of Egypt.

[Tool] Stopped generation process