PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?genre WHERE {
  dbr:Light_You_Up dbp:genre ?genre
}

Got 3 rows and 1 column:
| genre                                                               |
| ------------------------------------------------------------------- |
| Americana (music) (<http://dbpedia.org/resource/Americana_(music)>) |
| Folk rock (dbr:Folk_rock)                                           |
| Pop music (dbr:Pop_music)                                           |

The album 'Light You Up' belongs to the genres: Pop music, Folk rock, and Americana.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 genre of music does the album light you up belong to?

[Assistant]
Let's break down the question:

1. The user is asking for the genre of music for the album "Light You Up".
2. I need to identify the entity for the album "Light You Up" in DBpedia.
3. Then, I need to find the property that links an album to its genre.
4. Finally, I will construct a SPARQL query to retrieve the genre(s) for the album.

First, I will search for the entity "Light You Up" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Light You Up (dbr:Light_You_Up): Light You Up is the eighth studio album release from singer-songwriter Shawn Mullins.
2. Light You Up (album) (<http://dbpedia.org/resource/Light_You_Up_(album)>)
3. You Light Up My Life (dbr:You_Light_Up_My_Life)
4. You Light Up My Life (film) (<http://dbpedia.org/resource/You_Light_Up_My_Life_(film)>): You Light Up My Life is a 1977 American romantic drama film writ...ung friends to sing and her father, who wants her to be a comic.
5. You Light Up My Life (song) (<http://dbpedia.org/resource/You_Light_Up_My_Life_(song)>): "You Light Up My Life" is a ballad written by Joseph Brooks, and...y Debby Boone, the daughter of singer Pat Boone. It held the No.
6. You Light Up My Life (soundtrack) (<http://dbpedia.org/resource/You_Light_Up_My_Life_(soundtrack)>): You Light Up My Life: Original Soundtrack is the soundtrack albu...he 1977 film of the same name starring Didi Conn and Joe Silver.
7. You Light Up My Life (album) (<http://dbpedia.org/resource/You_Light_Up_My_Life_(album)>)
8. You Light Up My Life (disambiguation) (<http://dbpedia.org/resource/You_Light_Up_My_Life_(disambiguation)>)
9. Put Your Lighters Up (dbr:Put_Your_Lighters_Up)
10. You Light Up My Life: Inspirational Songs (<http://dbpedia.org/resource/You_Light_Up_My_Life:_Inspirational_Songs>): You Light Up My Life: Inspirational Songs or simply You Light Up...t justice. The album has been certified 4× Platinum by the RIAA.

[Assistant]
There are two relevant entities for "Light You Up" as an album in DBpedia:
1. dbr:Light_You_Up – described as the eighth studio album by Shawn Mullins.
2. <http://dbpedia.org/resource/Light_You_Up_(album)> – which may be a more specific or alternate entry.

Given that dbr:Light_You_Up is described as an album, I will use this entity.

Next, I need to find the property that links an album to its genre. I will search for properties related to "genre" for the entity dbr:Light_You_Up.

[Tool]
Top 10 property alternatives:
1. genre (dbp:genre)
2. next title (dbp:nextTitle)
3. type (dbp:type)
4. prev title (dbp:prevTitle)
5. cover (dbp:cover)
6. artist (dbp:artist)
7. producer (dbp:producer)
8. label (dbp:label)
9. released (dbp:released)
10. prev year (dbp:prevYear)

No other items found

[Tool]
Got 3 rows and 3 columns:
| subject                         | property          | object                                                              |
| ------------------------------- | ----------------- | ------------------------------------------------------------------- |
| Light You Up (dbr:Light_You_Up) | genre (dbp:genre) | Pop music (dbr:Pop_music)                                           |
| Light You Up (dbr:Light_You_Up) | genre (dbp:genre) | Folk rock (dbr:Folk_rock)                                           |
| Light You Up (dbr:Light_You_Up) | genre (dbp:genre) | Americana (music) (<http://dbpedia.org/resource/Americana_(music)>) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the genre(s) of the album 'Light You Up' by querying the dbp:genre property for the entity dbr:Light_You_Up. The result includes the IRIs of the genres, which is in line with the requirements. The answer provided is accurate and complete based on the query result. No further refinement is necessary.


PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
SELECT ?position WHERE {
  dbr:Bill_Windle dbo:position ?position
}

Got 1 row and 1 column:
| position                          |
| --------------------------------- |
| First baseman (dbr:First_baseman) |

Bill Windle played as a First baseman (dbr:First_baseman). The query now returns the IRI of the position.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Which position did bill windle play?

[Assistant]
Let's break down the question:

1. The entity is "bill windle", likely referring to a person (possibly an athlete).
2. The property is "position", which in the context of sports usually refers to the role or position played by the athlete.

First, I will search for the entity "bill windle" in DBpedia to find the correct IRI.

[Tool]
Top 10 entity alternatives:
1. Bill Windle (dbr:Bill_Windle): Willis Brewer Windle (December 13, 1904 – December 8, 1981) was ...He was born in Galena, Kansas and died in Corpus Christi, Texas.
2. Billy Windle (dbr:Billy_Windle): Billy Windle was an English footballer, who played as a winger in the Football League for Chester.
3. Bill Windley (dbr:Bill_Windley): William Dean Windley (28 August 1868 – 30 August 1953) was an Au...hey started out in the VFL, having played in the VFA since 1886.
4. William P. Lawrence, also known as "Bill" (dbr:William_P._Lawrence): William Porter "Bill" Lawrence (January 13, 1930 – December 2, 2..., and one of the final candidates for the Mercury space program.
5. William M. Hoge, also known as "Bill" (dbr:William_M._Hoge): General William Morris Hoge (January 13, 1894 – October 29, 1979... Korean War, with a military career spanning nearly forty years.
6. William Owens (admiral), also known as Bill (<http://dbpedia.org/resource/William_Owens_(admiral)>): William Arthur Owens (born May 8, 1940) is a retired admiral of ...ors of various companies, including Nortel Networks Corporation.
7. Ronald Forbes Adam, also known as "Bill" (dbr:Ronald_Forbes_Adam): General Sir Ronald Forbes Adam, 2nd Baronet, (30 October 1885 – 26 December 1982) was a senior British Army officer.
8. Brehon B. Somervell, also known as "Bill" (dbr:Brehon_B._Somervell): Brehon Burke Somervell (9 May 1892 – 13 February 1955) was a gen...d was commissioned in the United States Army Corps of Engineers.
9. Bill McCann, also known as Bill (dbr:Bill_McCann): Lieutenant Colonel William Francis James McCann, (19 April 1892 ... ranks to be commissioned during the Gallipoli campaign of 1915.
10. William F. Garrison, also known as "Bill" (dbr:William_F._Garrison): William F. "Bill" Garrison (born 27 June 1944) is an American re...launched in 1993 to capture Somali warlord Mohamed Farrah Aidid.

[Assistant]
The most relevant entity for "bill windle" is dbr:Bill_Windle, who appears to be an athlete.

Next, I need to determine which property in DBpedia is used to represent the "position" played by an athlete. I will search for properties related to "position" for the entity dbr:Bill_Windle.

[Tool]
Top 10 property alternatives:
1. position (dbp:position)
2. position (dbo:position)
3. birth date (dbo:birthDate): xsd:date, animal
4. birth date (dbp:birthDate)
5. birth place (dbo:birthPlace): where the person was born, animal, place
6. birth place (dbp:birthPlace)
7. teams (dbp:teams)
8. debut team (dbo:debutTeam): sports team, athlete
9. br (dbp:br)
10. throws (dbp:throws)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                       | property                | object                            |
| ----------------------------- | ----------------------- | --------------------------------- |
| Bill Windle (dbr:Bill_Windle) | position (dbp:position) | First baseman (dbr:First_baseman) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query retrieves the position as a literal string (e.g., 'First baseman') instead of the IRI (e.g., dbr:First_baseman). According to the guidelines, the query should return the IRI of the position. Please refine the query to retrieve the IRI, possibly by using dbo:position or by matching the literal to its corresponding resource if only dbp:position is available as a string.

[Assistant]
Thank you for the feedback. You are correct: dbp:position returns a literal string ("First baseman"), but the guidelines require returning the IRI (e.g., dbr:First_baseman).

Step-by-step plan:
1. Check if dbo:position is used for dbr:Bill_Windle and if it links to an IRI.
2. If not, map the dbp:position literal to a corresponding DBpedia resource (e.g., dbr:First_baseman) using a FILTER or by matching labels.

First, I will check if dbo:position is used for dbr:Bill_Windle.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                | object                            |
| ----------------------------- | ----------------------- | --------------------------------- |
| Bill Windle (dbr:Bill_Windle) | position (dbo:position) | First baseman (dbr:First_baseman) |

[Tool]
Got 1 row and 1 column:
| position                          |
| --------------------------------- |
| First baseman (dbr:First_baseman) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query retrieves the IRI of the position played by Bill Windle, as required. The answer is accurate and follows the guidelines, returning the IRI and not just the label. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?country ?countryLabel WHERE {
  dbr:Raiders_of_the_Living_Dead dbp:country ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| country            | countryLabel |
| ------------------ | ------------ |
| United States (en) |              |

The country associated with 'Raiders of the Living Dead' in DBpedia is given as the literal 'United States', not as an IRI. There is no IRI for the country in the dbp:country property for this film in DBpedia, only the literal string. Therefore, the best possible answer is the literal 'United States'.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 is raiders of the living dead from

[Assistant]
Let's break down the question:

1. The entity is "Raiders of the Living Dead", which is likely a film.
2. The property we are interested in is the country of origin.

First, I will search for the entity "Raiders of the Living Dead" in DBpedia to find its IRI.

[Tool]
Top 10 entity alternatives:
1. Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead): Raiders of the Living Dead is a 1986 American horror film directed by Samuel M. Sherman from a script he co-wrote with Brett Piper.
2. The Raiders of the Living Dead (dbr:The_Raiders_of_the_Living_Dead)
3. Night of the Living Dead (dbr:Night_of_the_Living_Dead): Night of the Living Dead is a 1968 American independent horror f...ritten by John Russo, and starring Duane Jones and Judith O'Dea.
4. The Return of the Living Dead (dbr:The_Return_of_the_Living_Dead): The Return of the Living Dead is a 1985 American comedy horror f... starring Clu Gulager, James Karen, Thom Matthews and Don Calfa.
5. City of the Living Dead (dbr:City_of_the_Living_Dead): City of the Living Dead (Italian: Paura nella città dei morti vi...ombardo Radice, Daniela Doria, Fabrizio Jovine, and Janet Agren.
6. Hell of the Living Dead (dbr:Hell_of_the_Living_Dead): Hell of the Living Dead (Italian: Virus - l'inferno dei morti vi...erous chemical, turning the technicians and locals into zombies.
7. Children of the Living Dead (dbr:Children_of_the_Living_Dead): Children of the Living Dead is a 2001 American direct-to-video z...directed by Tor Ramsey, and executive produced by John A. Russo.
8. Fight of the Living Dead (dbr:Fight_of_the_Living_Dead): Fight of the Living Dead is a reality streaming television serie... was a six episode pre-season, totaling under one hour combined.
9. Castle of the Living Dead (dbr:Castle_of_the_Living_Dead): Castle of the Living Dead (Italian: Il Castello dei Morti Vivi, ...fer. It was released in English under the title Crypt of Horror.
10. House of the Living Dead (dbr:House_of_the_Living_Dead): House of the Living Dead (Skaduwees Oor Brugplaas, or Shadows ov...in Apartheid-era South Africa and deals heavily with the occult.

[Assistant]
The top result is "Raiders of the Living Dead" with the IRI dbr:Raiders_of_the_Living_Dead.

Next, I need to find the property that links a film to its country of origin. Common properties in DBpedia for this are dbo:country or dbo:origin. I will check which properties are available for this entity that relate to country.

[Tool]
Top 10 property alternatives:
1. country (dbp:country)
2. name (dbp:name)
3. language (dbp:language)
4. caption (dbp:caption)
5. producer (dbo:producer): The producer of the creative work., agent, work
6. producer (dbp:producer)
7. writer (dbp:writer)
8. music (dbp:music)
9. starring (dbp:starring)
10. starring (dbo:starring): actor, work

No other items found

[Tool]
Got 87 rows and 3 columns, showing the first 10 rows below:
| subject                                                     | property                                                   | object                                                                   |
| ----------------------------------------------------------- | ---------------------------------------------------------- | ------------------------------------------------------------------------ |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | has abstract (dbo:abstract)                                | Raiders of the Living Dead est u...ain réalisé par , sorti en 1986. (fr) |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | Wikipage page ID (dbo:wikiPageID)                          | 4498589 (xsd:int)                                                        |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | Wikipage revision ID (dbo:wikiPageRevisionID)              | 1107034826 (xsd:int)                                                     |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | page length (characters) of wiki page (dbo:wikiPageLength) | 3890 (xsd:int)                                                           |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | name (dbp:name)                                            | Raiders of the Living Dead (en)                                          |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | caption (dbp:caption)                                      | DVD cover (en)                                                           |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | writer (dbp:writer)                                        | Brett Piper (en)                                                         |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | starring (dbp:starring)                                    | Zita Johann (dbr:Zita_Johann)                                            |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | country (dbp:country)                                      | United States (en)                                                       |
| Raiders of the Living Dead (dbr:Raiders_of_the_Living_Dead) | producer (dbp:producer)                                    | Dan Q. Kennis (dbr:Dan_Q._Kennis)                                        |
| ...                                                         | ...                                                        | ...                                                                      |

[Tool]
Got 1 row and 1 column:
| country            |
| ------------------ |
| United States (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves the country associated with 'Raiders of the Living Dead' from DBpedia. However, it only returns the country as a literal string (e.g., 'United States') and not as an IRI, which is required by the guidelines. The query should be refined to ensure that it returns the IRI of the country entity, if available, and optionally its label using rdfs:label in an OPTIONAL clause. For example, you could use:

SELECT ?country ?countryLabel WHERE { dbr:Raiders_of_the_Living_Dead dbp:country ?country . OPTIONAL { ?country rdfs:label ?countryLabel FILTER (lang(?countryLabel) = 'en') } }

This ensures compliance with the requirement to return IRIs.

[Tool]
Got 1 row and 2 columns:
| country            | countryLabel |
| ------------------ | ------------ |
| United States (en) |              |

[Tool] Got no rows and 3 columns

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property              | object                  |
| --------------------------------------------------------------------------------------------------------------- | --------------------- | ----------------------- |
| 1941 (film) (<http://dbpedia.org/resource/1941_(film)>)                                                         | country (dbp:country) | United States (en)      |
| 1963–64 Danish Cup qualifying rounds (<http://dbpedia.org/resource/1963–64_Danish_Cup_qualifying_rounds>)       | country (dbp:country) | Denmark (en)            |
| 2018 New Hampshire House of Representatives election (dbr:2018_New_Hampshire_House_of_Representatives_election) | country (dbp:country) | New Hampshire (en)      |
| 2018 United States gubernatorial elections (dbr:2018_United_States_gubernatorial_elections)                     | country (dbp:country) | Alabama (en)            |
| 2017–18 Coupe de France (<http://dbpedia.org/resource/2017–18_Coupe_de_France>)                                 | country (dbp:country) | France (en)             |
| 2021 New York City Council election (dbr:2021_New_York_City_Council_election)                                   | country (dbp:country) | New York City (en)      |
| 2014–15 FA Cup (<http://dbpedia.org/resource/2014–15_FA_Cup>)                                                   | country (dbp:country) | England (en)            |
| 2012 Glasgow City Council election (dbr:2012_Glasgow_City_Council_election)                                     | country (dbp:country) | Glasgow (en)            |
| 2021 Essex County Council election (dbr:2021_Essex_County_Council_election)                                     | country (dbp:country) | Essex (en)              |
| 2022–23 Thai FA Cup (<http://dbpedia.org/resource/2022–23_Thai_FA_Cup>)                                         | country (dbp:country) | Thailand (dbr:Thailand) |
| ...                                                                                | ...                   | ...                     |

[Tool]
Failed to call function search_object_of_property:
synonyms not found in row 74: - Translation test carried out simultaneously in participating schools across all member states of the European Union

[Tool]
Top 10 entity alternatives:
1. United States (dbr:United_States): The United States of America (U.S.A. or USA), commonly known as ...t is the world's third- or fourth-largest country by total area.
2. United States (<http://dbpedia.org/resource/Category:United_States>)
3. United states (dbr:United_states)
4. United States states (<http://dbpedia.org/resource/Category:United_States_states>)
5. UNITED STATES (dbr:UNITED_STATES)
6. United States states (dbr:United_States_states)
7. United States Navy (dbr:United_States_Navy): The United States Navy (USN) is the maritime service branch of t...ombined, including 11 U.S. allies or partner nations as of 2015.
8. United States Army (dbr:United_States_Army): The United States Army (USA) is the land service branch of the U...nch of the U.S. military in order of precedence, the modern U.S.
9. United States Congress (dbr:United_States_Congress): The United States Congress is the bicameral legislature of the f...ss has 535 voting members: 100 senators and 435 representatives.
10. United States dollar (dbr:United_States_dollar): The United States dollar (symbol: $; code: USD; also abbreviated...nto 1000 mills for accounting and taxation purposes (symbol: ₥).

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool]
Got 1 row and 2 columns:
| country            | countryLabel |
| ------------------ | ------------ |
| United States (en) |              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete given the data in DBpedia. The SPARQL query correctly retrieves the value of dbp:country for 'Raiders of the Living Dead', and the result is a literal ('United States') rather than an IRI. The query also attempts to get a label if the country were an IRI, which is good practice. Since the data only provides a literal, this is the best possible answer. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
SELECT DISTINCT ?labelIRI ?labelName WHERE {
  <http://dbpedia.org/resource/Epica_(band)> dbo:recordLabel ?labelIRI .
  OPTIONAL {
    ?labelIRI rdfs:label ?labelName FILTER ( lang( ?labelName ) = 'en' )
  }
}

Got 1 row and 2 columns:
| labelIRI                          | labelName          |
| --------------------------------- | ------------------ |
| Nuclear Blast (dbr:Nuclear_Blast) | Nuclear Blast (en) |

According to DBpedia, the music label that signed Epica (band) with an IRI is Nuclear Blast (dbr:Nuclear_Blast).

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] which music label signed the artist epica

[Assistant]
Let's break down the question:

1. The main entity is "Epica", which is an artist (specifically, a band).
2. The property of interest is the "music label" that signed Epica.

First, I will search for the entity "Epica" in DBpedia to get its IRI.

[Tool]
Top 10 entity alternatives:
1. Epica (dbr:Epica)
2. EPICA (dbr:EPICA)
3. Epica (band), also known as Sahara Dust (2002) (<http://dbpedia.org/resource/Epica_(band)>)
4. Daewoo Tosca, also known as Holden Epica, Chevrolet Tosca, Chevrolet Epica (dbr:Daewoo_Tosca): The Daewoo Tosca is a mid-size car designed by Daewoo in South K... it is available with transversely-mounted straight-six engines.
5. Daewoo Magnus, also known as Daewoo Evanda, Chevrolet Epica, Formosa Magnus, Suzuki Verona, Chevrolet Evanda (dbr:Daewoo_Magnus)
6. Banksia epica (dbr:Banksia_epica): Banksia epica is a shrub that grows on the south coast of Wester... the state, near the western edge of the Great Australian Bight.
7. Procyanidin A2, also known as Procyanidol A2, Procyanidin A2, Epicatechin-(2β→7,4β→8)-epicatechin, Proanthocyanidin A-2, (+)-Proanthocyanidin A2 (dbr:Procyanidin_A2): Procyanidin A2 is an A type proanthocyanidin.It is found in avoc...ex, cinnamon cortex, Urvillea ulmaceae, and Ecdysanthera utilis.
8. Epicardium (dbr:Epicardium)
9. Procyanidin C1, also known as Procyanidin C1, Epicatechin-(4β→8)-epicatechin--(4β→8)-epicatechin, Epicatechin-(4.beta.-->8)epicatechin-(4.beta.-->8)epicatechin, Procyanidol C1 (dbr:Procyanidin_C1): Procyanidin C1 is a B type proanthocyanidin. It is an epicatechin trimer found in grape (Vitis vinifera).
10. Epicauta (dbr:Epicauta): Epicauta is a genus of beetles in the blister beetle family, Mel...e particularly diverse in northern Arizona in the United States.

[Assistant]
The most relevant entity for the band Epica is dbr:Epica_(band).

Next, I need to find the property that links a band or artist to their music label. I will search for properties related to "music label" for the entity dbr:Epica_(band).

[Tool] Constraint "dbr:Epica_(band)" for subject position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Tool]
Top 10 property alternatives:
1. label (dbp:label)
2. record label (dbo:recordLabel): record label
3. name (dbp:name)
4. description (dbp:description)
5. genre (dbo:genre): The genre of the thing (music group, film, etc.), genre
6. genre (dbp:genre)
7. title (dbp:title)
8. caption (dbp:caption)
9. sound recording (dbo:soundRecording): Sound recording somehow related to the subject, sound
10. filename (dbp:filename)

No other items found

[Assistant]
The two most relevant properties for linking a band to its music label are:
- dbp:label
- dbo:recordLabel

I will now construct a SPARQL query to retrieve the music label(s) associated with Epica (band) using both properties, and also try to get their labels for better readability.

[Tool]
Got 2 rows and 2 columns:
| labelIRI                                      | labelName          |
| --------------------------------------------- | ------------------ |
| Transmission, Nuclear Blast, Atomic Fire (en) |                    |
| Nuclear Blast (dbr:Nuclear_Blast)             | Nuclear Blast (en) |

[Assistant]
The query results show that Epica (band) is associated with the music labels "Nuclear Blast", "Transmission", and "Atomic Fire". The only label with a clear IRI in DBpedia is "Nuclear Blast" (dbr:Nuclear_Blast), while the others are listed as a literal string.

Here is the final SPARQL query and answer:

- Nuclear Blast (dbr:Nuclear_Blast)
- Transmission
- Atomic Fire

Let me provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query attempts to retrieve all record labels associated with Epica, but the execution result indicates a problem: one row contains a concatenated string of multiple labels ("Transmission, Nuclear Blast, Atomic Fire") rather than individual IRIs, while the other row is correct. This suggests that the dbp:label property is being used as a string rather than as IRIs, which is not ideal for returning identifiers as required. The query should be refined to only return IRIs (and optionally labels) for each record label, ensuring each result row corresponds to a single label entity. The answer should be based solely on the IRIs returned, not on string values. Please revise the query to address this issue.

[Assistant]
Thank you for the feedback. You are correct: dbp:label is a string property and not suitable for returning IRIs, while dbo:recordLabel is the property that links to label entities with IRIs. To comply with the requirement to only return IRIs (and optionally their labels), I will revise the query to use only dbo:recordLabel and exclude dbp:label.

Here’s my revised approach:
- Only use dbo:recordLabel to ensure we get IRIs for the labels.
- Return each label as a separate row, with its IRI and optionally its English label.

Let me construct and execute the improved query.

[Tool]
Got 1 row and 2 columns:
| labelIRI                          | labelName          |
| --------------------------------- | ------------------ |
| Nuclear Blast (dbr:Nuclear_Blast) | Nuclear Blast (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the record label (music label) associated with Epica (band) from DBpedia, returning the IRI and optionally the English label. The answer matches the query result, and the query follows all required guidelines. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
SELECT ?position ?positionLabel WHERE {
  dbr:Cafuringa dbo:position ?position .
  OPTIONAL {
    ?position rdfs:label ?positionLabel FILTER ( lang( ?positionLabel ) = "en" )
  }
}

Cafuringa played as a Forward (association football).

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 position does cafuringa play in football?

[Assistant]
Let's break down the question:

1. The entity is "Cafuringa", who is a football player.
2. The property we are interested in is the "position" that Cafuringa played in football.

First, I will search for the entity "Cafuringa" in DBpedia to find the correct IRI.

[Tool]
Top 10 entity alternatives:
1. Cafuringa (dbr:Cafuringa): Moacir Fernandes, commonly known by the nickname Cafuringa (Nove...zilian footballer Cafu got his footballing name after Cafuringa.

[Assistant]
I have found the entity for Cafuringa: dbr:Cafuringa.

Next, I need to find the property that links a football player to their playing position. I will search for properties related to "position" for the entity dbr:Cafuringa.

[Tool]
Top 10 property alternatives:
1. position (dbp:position)
2. position (dbo:position)
3. career station (dbo:careerStation): this property links to a step in the career of a person, e.g. a ...n the time span, matches and goals he or she achieved at a club., career station, person
4. birth date (dbo:birthDate): xsd:date, animal
5. birth date (dbp:birthDate)
6. birth place (dbo:birthPlace): where the person was born, animal, place
7. birth place (dbp:birthPlace)
8. team (dbo:team): sports team
9. fullname (dbp:fullname)
10. caps (dbp:caps)

No other items found

[Assistant] The most relevant properties for football position are dbp:position and dbo:position. I will check which one is used for Cafuringa by listing triples with dbr:Cafuringa as the subject and these properties.

[Tool]
Got 130 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                   | object                                                                   |
| ------------------------- | ---------------------------------------------------------- | ------------------------------------------------------------------------ |
| Cafuringa (dbr:Cafuringa) | has abstract (dbo:abstract)                                | Moacir Fernandes, commonly known...ootballing name after Cafuringa. (en) |
| Cafuringa (dbr:Cafuringa) | Wikipage page ID (dbo:wikiPageID)                          | 20849331 (xsd:int)                                                       |
| Cafuringa (dbr:Cafuringa) | Wikipage revision ID (dbo:wikiPageRevisionID)              | 1086785371 (xsd:int)                                                     |
| Cafuringa (dbr:Cafuringa) | page length (characters) of wiki page (dbo:wikiPageLength) | 5617 (xsd:int)                                                           |
| Cafuringa (dbr:Cafuringa) | name (dbp:name)                                            | Cafuringa (en)                                                           |
| Cafuringa (dbr:Cafuringa) | team (dbo:team)                                            | Botafogo de Futebol e Regatas (dbr:Botafogo_de_Futebol_e_Regatas)        |
| Cafuringa (dbr:Cafuringa) | goals (dbp:goals)                                          | ? (en)                                                                   |
| Cafuringa (dbr:Cafuringa) | career station (dbo:careerStation)                         | dbr:Cafuringa__CareerStation__1                                          |
| Cafuringa (dbr:Cafuringa) | birth place (dbp:birthPlace)                               | Brazil (dbr:Brazil)                                                      |
| Cafuringa (dbr:Cafuringa) | years (dbp:years)                                          | 1965 (xsd:int)                                                           |
| ...                       | ...                                                        | ...                                                                      |

[Tool]
Got 1 row and 3 columns:
| subject                   | property                | object                                                                                |
| ------------------------- | ----------------------- | --------------------------------------------------------------------------------------------- |
| Cafuringa (dbr:Cafuringa) | position (dbp:position) | Forward (association football) (<http://dbpedia.org/resource/Forward_(association_football)>) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property                | object                                                                                |
| ------------------------- | ----------------------- | --------------------------------------------------------------------------------------------- |
| Cafuringa (dbr:Cafuringa) | position (dbo:position) | Forward (association football) (<http://dbpedia.org/resource/Forward_(association_football)>) |

[Assistant]
Both dbp:position and dbo:position link Cafuringa to "Forward (association football)" (dbr:Forward_(association_football)).

Now, I will construct a SPARQL query that returns the football position(s) played by Cafuringa, returning the IRI and optionally the label.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the football position played by Cafuringa using the dbo:position property and returns the IRI of the position, as well as its English label in an OPTIONAL clause. The answer is accurate and complete according to the data from DBpedia. No further refinement is needed.