PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?genre WHERE {
  fb:m.0brpsm fb:film.film.genre ?genre .
}

Got 7 rows and 1 column:
| genre                       |
| --------------------------- |
| Coming of age (fb:m.01j1n2) |
| Comedy-drama (fb:m.01t_vv)  |
| Indie film (fb:m.0219x_)    |
| Drama (fb:m.02822)          |
| Teen film (fb:m.02b5_l)     |
| Romance Film (fb:m.02l7c8)  |
| Comedy (fb:m.05p553)        |

The film 'The Battle of Shaker Heights' is classified as: Coming of age, Comedy-drama, Indie film, Drama, Teen film, Romance Film, and Comedy.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 type of film is the battle of shaker heights

[Assistant]
Let's break down the question:

1. The entity is "The Battle of Shaker Heights", which is a film.
2. The property we are interested in is the "type of film"—this could refer to genre, or possibly a more specific film type classification.

First, I will search for the entity "The Battle of Shaker Heights" in Freebase to get its identifier.

[Tool]
Top 10 entity alternatives:
1. The Battle of Shaker Heights, also known as The Battle Of Shaker Heights (fb:m.0brpsm): The Battle of Shaker Heights is a 2003 American comedy-drama fil... the winning script for the second season of Project Greenlight., has type Film
2. The Battle of Shaker Heights (fb:m.0pd7cy_): has type TV Episode
3. The Battle of Shaker Heights (fb:m.08vw2th)
4. The Battle of Shaker Heights (fb:m.08w4fm7)
5. The Battle of Shaker Heights (fb:m.08w5hjf)
6. The Battle of Shaker Heights (fb:m.08w9zpk)
7. Battle of the Seelow Heights (fb:m.05t9lp): The Battle of the Seelow Heights was part of the Seelow-Berlin O...the encirclement of the German 9th Army and the Battle of Halbe., has type Military Conflict
8. Battle of the Ancre Heights (fb:m.04rv6_): The Battle of the Ancre Heights 1 October – 11 November 1916, wa...elayed the British capture of the heights for more than a month., has type Military Conflict
9. Battle of the Tugela Heights (fb:m.09v8p7y): The Battle of Tugela Heights, consisted of a series of military ... army to lift the Siege of Ladysmith during the Second Boer War., has type Military Conflict
10. The battle of Queenston Heights (fb:m.06q13k1): has type Book

[Assistant]
The most relevant entity for "The Battle of Shaker Heights" film is fb:m.0brpsm.

Next, I need to determine what properties are available for this entity that relate to the "type of film"—this could be genre or a more specific classification. I will search for properties related to "type" and "genre" for this entity.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Genres (fb:film.film.genre): links to type Film genre, part of Film schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Country of origin (fb:film.film.country): links to type Country, part of Film schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. w id (fb:base.wfilmbase.film.w_id): part of W Film schema, links to type SiteID
9. Languages (fb:film.film.language): links to type Human Language, part of Film schema
10. Edited by (fb:film.film.edited_by): links to type Film editor, part of Film schema

No other items found

[Tool]
Top 10 property alternatives:
1. Genres (fb:film.film.genre): links to type Film genre, part of Film schema
2. Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
3. Netflix Genres (fb:media_common.netflix_title.netflix_genres): part of Netflix Title schema, links to type Netflix Genre
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Country of origin (fb:film.film.country): links to type Country, part of Film schema
6. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Release date(s) (fb:film.film.release_date_s): links to type Film regional release date, part of Film schema
10. Rated (fb:film.film.rating): links to type Film rating, part of Film schema

No other items found

[Tool]
Got 7 rows and 1 column:
| genre                       |
| --------------------------- |
| Coming of age (fb:m.01j1n2) |
| Comedy-drama (fb:m.01t_vv)  |
| Indie film (fb:m.0219x_)    |
| Drama (fb:m.02822)          |
| Teen film (fb:m.02b5_l)     |
| Romance Film (fb:m.02l7c8)  |
| Comedy (fb:m.05p553)        |

[Tool]
Got 233 rows and 2 columns, showing the first 5 and last 5 rows below:
| genre                       | genreLabel                    |
| --------------------------- | ----------------------------- |
| Coming of age (fb:m.01j1n2) | Cérémonie de la majorité (fr) |
| Coming of age (fb:m.01j1n2) | Coming of age (en)            |
| Coming of age (fb:m.01j1n2) | Coming of age (pt)            |
| Coming of age (fb:m.01j1n2) | Coming of Age (es)            |
| Coming of age (fb:m.01j1n2) | Coming of Age (it)            |
| ...                         | ...                           |
| Comedy (fb:m.05p553)        | เรื่องตลก (th)                |
| Comedy (fb:m.05p553)        | 코미디 영화 (ko)                   |
| Comedy (fb:m.05p553)        | コメディ (ja)                     |
| Comedy (fb:m.05p553)        | 喜剧电影 (zh)                     |
| Comedy (fb:m.05p553)        | 喜劇電影 (zh-Hant)                |

[Tool]
Got 7 rows and 2 columns:
| genre                       | genreLabel         |
| --------------------------- | ------------------ |
| Coming of age (fb:m.01j1n2) | Coming of age (en) |
| Comedy-drama (fb:m.01t_vv)  | Comedy-drama (en)  |
| Indie film (fb:m.0219x_)    | Indie film (en)    |
| Drama (fb:m.02822)          | Drama (en)         |
| Teen film (fb:m.02b5_l)     | Teen film (en)     |
| Romance Film (fb:m.02l7c8)  | Romance Film (en)  |
| Comedy (fb:m.05p553)        | Comedy (en)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all genres associated with 'The Battle of Shaker Heights' by returning the IRIs of the genres. The answer lists all the genres found in the query result, and the query adheres to the guidelines by returning identifiers and not using unsupported features. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?artist WHERE {
  fb:m.01r11nx fb:music.album.artist ?artist .
  OPTIONAL {
    ?artist rdfs:label ?artistLabel .
    FILTER ( lang( ?artistLabel ) = 'en' )
  }
}

The artist who recorded 'Year of the Iguana' is The Stooges.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 artist recorded the year of the iguana?

[Assistant]
Let's break down the question:

1. The user is asking for the artist who recorded "The Year of the Iguana".
2. First, I need to identify what "The Year of the Iguana" refers to—likely a song or album.
3. I will search for the entity "The Year of the Iguana" in Freebase to find its type and details.

Let's start by searching for the entity "The Year of the Iguana".

[Tool]
Top 10 entity alternatives:
1. Year of the Iguana (fb:m.032d03w): has type Consumer product
2. Year of the Iguana (fb:m.01r11nx): has type Musical Album
3. Officer of the Year (fb:m.0gktnvd): Officer of the Year is a 2011 comedy film written by Choi Jin-won and Lim Chan Ik and directed by Lim Chan Ik., has type Award-Winning Work
4. THE YEAR OF THERMOPYLAE (fb:m.09553fr): has type Book Edition
5. Officer of the Year (fb:m.05dgw8w): Joyce humiliates an unprepared Bates on the witness stand; Renko... at a luncheon honoring him as the Hispanic Officer of the Year., has type TV Episode
6. The Year Of, also known as Year Of, The (fb:m.01svlln): has type Musical Group
7. THE YEAR OF THERMOPYLAE (fb:m.06h0ck2): has type Book
8. The year of thepageant (fb:m.06vgy66): has type Book
9. Story of the Year, also known as bigbluemokey, StoryOfTheYear, Big Blue Monkey (fb:m.02y1vk): Story of the Year is an American rock band formed in St. Louis, ...rst release on Epitaph Records, followed by 2010's The Constant., has type Musical Group
10. Time's Person of the Year, also known as Man of the Year (fb:m.01dbzq): Person of the Year is an annual issue of the United States news ... worse...has done the most to influence the events of the year"., has type Award category

[Assistant]
From the search results, "Year of the Iguana" (fb:m.01r11nx) is identified as a Musical Album. The user is asking for the artist who recorded this album.

Next, I need to find the artist associated with the album "Year of the Iguana" (fb:m.01r11nx). I will look for properties of this entity that relate to the artist or performer.

[Tool]
Top 10 property alternatives:
1. Artist (fb:music.album.artist): links to type Musical Artist, part of Musical Album schema
2. Album content type (fb:music.album.album_content_type): links to type Album content type, part of Musical Album schema
3. Releases (fb:music.album.releases): links to type Musical Release, part of Musical Album schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
9. Release type (fb:music.album.release_type): links to type Musical Album Type, part of Musical Album schema

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                           | property                       | object                     |
| --------------------------------- | ------------------------------ | -------------------------- |
| Year of the Iguana (fb:m.01r11nx) | Artist (fb:music.album.artist) | The Stooges (fb:m.01ld0vl) |

[Tool]
Got 28 rows and 3 columns, showing the first 10 rows below:
| subject                    | property   | object           |
| -------------------------- | ---------- | ---------------- |
| The Stooges (fb:m.01ld0vl) | rdfs:label | Stooges (el)     |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (ca) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (cs) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (da) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (de) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (en) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (es) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (fi) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (fr) |
| The Stooges (fb:m.01ld0vl) | rdfs:label | The Stooges (hr) |
| ...                        | ...        | ...              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query directly retrieves the artist who recorded 'Year of the Iguana' by using the correct entity and property. The result matches the expected answer, and the query structure follows the guidelines, returning the IRI of the artist and optionally the label. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?type WHERE {
  fb:m.0274zcb fb:education.educational_institution.school_type ?type .
}

Ochanomizu University is a national 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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 type of school is ochanomizu university

[Assistant]
Let's break down the question:

1. The entity in question is "Ochanomizu University".
2. The property we are interested in is the "type of school" or "type" of the university.

First, I will search for "Ochanomizu University" in Freebase to find its entity identifier.

[Tool]
Top 10 entity alternatives:
1. Ochanomizu University, also known as Ochanomizu University, main campus (fb:m.0274zcb): Ochanomizu University is one of only two national women's univer...name of the Tokyo neighborhood where the university was founded., has type College/University
2. University of Washington, also known as UW, University, Washington, University of Washington, Seattle, University, University of Washington, main campus (fb:m.07t90): The University of Washington, commonly referred to as Washington...niversity competes in the NCAA Division I Pacific-12 Conference., has type College/University
3. University (fb:m.07tf8): A university is an institution of higher education and research ...arium, which roughly means "community of teachers and scholars.", has type Building function
4. University, also known as Hillsborough County / University CDP, University, Florida (fb:m.0rlhh): University is an unincorporated census-designated place in Hills...o by locals as Suitcase City due to the high rate of transients., has type US Census Designated Place
5. College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
6. HKU Station, also known as University (fb:m.06qd4d): HKU is a station on the Hong Kong MTR Island Line located in the...U Station is the largest and deepest station in the MTR network., has type Location
7. Ochanomizu, also known as Ochanomizu, Tokyo (fb:m.086y9s): Ochanomizu is a neighborhood in Tokyo, Japan. It extends from th...nient to access Yushima Seidō, Yushima Tenjin, and Kanda Myōjin., has type Neighborhood
8. University Station, also known as University (fb:m.03kqfj): University Station is an MTR station located near the Chinese Un...n on the line, and has the most curved track of any MTR station., has type Location
9. University (fb:base.atitdatlas.university)
10. University (fb:m.0nd3zxb): University is a 2002 Tamil romance film directed by Praghadish s...h this film. University failed to make a mark at the box office., has type Film

[Assistant]
The top result for "Ochanomizu University" is fb:m.0274zcb, which is described as a national women's university in Japan.

Next, I need to determine what properties are available for this entity that might describe its "type of school". This could be a property like "type", "institution type", or similar. I will search for properties related to "type" for this entity.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. School type (fb:education.educational_institution.school_type): part of Educational Institution schema, links to type School category
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
There is a property called "School type" (fb:education.educational_institution.school_type) in the Educational Institution schema, which likely describes the type of school for Ochanomizu University.

I will now list the values for this property for the entity fb:m.0274zcb (Ochanomizu University).

[Tool]
Got 1 row and 3 columns:
| subject                              | property                                                       | object                            |
| ------------------------------------ | -------------------------------------------------------------- | --------------------------------- |
| Ochanomizu University (fb:m.0274zcb) | School type (fb:education.educational_institution.school_type) | National university (fb:m.047951) |

[Tool]
Got 314 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                                            | object                                                                   |
| --------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| National university (fb:m.047951) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| National university (fb:m.047951) | Key (fb:type.object.key)                                            | /en/national_university                                                  |
| National university (fb:m.047951) | Name (fb:type.object.name)                                          | Đại học Quốc gia (vi)                                                    |
| National university (fb:m.047951) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2C%27%45%39%29_%2D%43%48%45%4A%29>        |
| National university (fb:m.047951) | Notable for (fb:common.topic.notable_for)                           | fb:g.1yl5tjkkj                                                           |
| National university (fb:m.047951) | Notable types (fb:common.topic.notable_types)                       | School category (fb:m.01y2hmg)                                           |
| National university (fb:m.047951) | Description (fb:common.topic.description)                           | A national university is general...-government on the institutions. (en) |
| National university (fb:m.047951) | Article (fb:common.topic.article)                                   | fb:m.047957                                                              |
| National university (fb:m.047951) | Image (fb:common.topic.image)                                       | DSC01982 (fb:m.05l1jf5)                                                  |
| National university (fb:m.047951) | Official website (fb:common.topic.official_website)                 | <http://isi.ac.id/>                                                      |
| ...                               | ...                                                                 | ...                                                                      |

[Tool]
Got 10 rows and 3 columns:
| subject                           | property                   | object                               |
| --------------------------------- | -------------------------- | ------------------------------------ |
| National university (fb:m.047951) | Name (fb:type.object.name) | Đại học Quốc gia (vi)                |
| National university (fb:m.047951) | Name (fb:type.object.name) | National university (en)             |
| National university (fb:m.047951) | Name (fb:type.object.name) | Державний університет (uk)           |
| National university (fb:m.047951) | Name (fb:type.object.name) | אוניברסיטה לאומית (iw)               |
| National university (fb:m.047951) | Name (fb:type.object.name) | جامعة حكومية (ar)                    |
| National university (fb:m.047951) | Name (fb:type.object.name) | สถาบันอุดมศึกษาในกำกับของรัฐบาล (th) |
| National university (fb:m.047951) | Name (fb:type.object.name) | 국립 대학 (ko)                           |
| National university (fb:m.047951) | Name (fb:type.object.name) | 国立大学 (ja)                            |
| National university (fb:m.047951) | Name (fb:type.object.name) | 国立大学 (zh)                            |
| National university (fb:m.047951) | Name (fb:type.object.name) | 國立大學 (zh-Hant)                       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query directly retrieves the school type of Ochanomizu University from Freebase, returning the IRI as required. The answer matches the expected result, and the query follows all guidelines.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?film ?filmLabel WHERE {
  ?film fb:film.film.genre fb:m.0vgkd .
  OPTIONAL {
    ?film rdfs:label ?filmLabel .
    FILTER ( lang( ?filmLabel ) = 'en' )
  }
}

Got 1,313 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                                                 | filmLabel                                                 |
| -------------------------------------------------------------------- | --------------------------------------------------------- |
| Socarrat (fb:g.119x75q80)                                            | Socarrat (en)                                             |
| S.O.S. (1999) (fb:g.120yljxd)                                        | S.O.S. (1999) (en)                                        |
| No somos nadie (fb:g.1213hpvr)                                       | No somos nadie (en)                                       |
| Karaoke Terror: The Complete Japanese Showa Songbook (fb:g.122brw9x) | Karaoke Terror: The Complete Japanese Showa Songbook (en) |
| Wetlands (fb:m.0_07lz5)                                              | Wetlands (en)                                             |
| ...                                                                  | ...                                                       |
| La última película (fb:m.0yq43b2)                                    | La última película (en)                                   |
| Thumb (fb:m.0yxrlf8)                                                 | Thumb (en)                                                |
| Action (fb:m.0z2nt1x)                                                | Action (en)                                               |
| Velvet Terrorists (fb:m.0zfg3_n)                                     | Velvet Terrorists (en)                                    |
| O Beautiful Istanbul (fb:m.0zn8l38)                                  | O Beautiful Istanbul (en)                                 |

This query retrieves all films that are classified as black comedies, with their English labels where available.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 movie is black comedy

[Assistant]
Let's break down the question:

- The user wants to know which movie is a "black comedy".
- "Black comedy" is a genre, so we need to find movies that have this genre.

Step 1: Find the entity for "black comedy" in Freebase.
Step 2: Find the property that links movies to their genres.
Step 3: Write a SPARQL query to find movies that have "black comedy" as a genre.

Let's start by searching for the entity "black comedy".

[Tool]
Top 10 entity alternatives:
1. Black comedy (fb:m.0vgkd): A black comedy is a comic work that employs farce and morbid hum.... Black comedy is often controversial due to its subject matter., has type TV Genre
2. Dark Humor, also known as black comedy (fb:m.0cq22qm)
3. Black Comedy (fb:m.03b4gh): Black Comedy is a one-act farce by Peter Shaffer, first performe... Clea shows up unexpectedly, things slide into disaster for him., has type Play
4. Black Comedy (fb:m.0v0z566): Black Comedy is a 2014 Hong Kong fantasy comedy film directed by Wilson Chin. It starred Chapman To, Wong Cho-lam and Kimmy Tong., Black Comedy is a 2013 comedy and romance film directed by Wilson Chin., has type Film
5. Black Comedy (fb:m.01vsn9v): has type Musical Artist
6. Black Comedy (fb:m.0rfmrz): has type Musical Recording
7. Black Comedy (fb:m.0fwz0bf): has type Musical Release
8. Black Comedy (fb:m.0trs1_): has type Musical Recording
9. Black Comedy (fb:m.0yb8s36): has type Musical Release
10. Black Comedy (fb:m.0qxpz1): has type Musical Recording

[Assistant]
From the search results, the entity "Black comedy" as a genre is fb:m.0vgkd. This is what we want.

Next, we need to find the property that links a movie (film) to its genre. Let's search for properties related to "genre" in Freebase.

[Tool]
Top 10 property alternatives:
1. Genre (fb:user.djmixtape.default_domain.mixtape.genre): part of Mixtape schema, links to type Text
2. Genre (fb:base.column.column.genre): links to type Column Genre, part of Column schema
3. Genre (fb:user.unfoldingart.unfoldingart.art_classification.genre): part of Art Classification schema, links to type Visual Art Genre
4. Genre (fb:base.animemanga.anime_manga_franchise.genre): part of Anime/Manga Franchise schema, links to type Anime/Manga Genre
5. Genre (fb:comic_books.comic_book_story.genre): part of Comic Book Story schema, links to type Comic Book Genre
6. Genre (fb:base.webvideo.internet_video.genre): links to type Internet Video Genre, part of Internet Video schema
7. Genre (fb:music.recording.genre): part of Musical Recording schema, links to type Musical genre
8. Genre (fb:comic_strips.comic_strip.genre): links to type Comic Strip Genre, part of Comic Strip schema
9. Genre (fb:computer.file_format.genre): links to type File Format Genre, part of File Format schema
10. Genre (fb:comic_books.comic_book_series.genre): part of Comic Book Series schema, links to type Comic Book Genre

[Assistant]
None of the top results directly mention film or movie genres, but let's try searching for properties related to "genre" specifically for films. This will help us find the correct property to link a film to its genre.

I'll search for properties of a known film entity with the query "genre". Let's first find a known film entity, such as "The Godfather".

[Tool]
Top 10 entity alternatives:
1. The Godfather, also known as O nonos, Ojciec chrzestny, Natlimama, Nasul, Mario Puzo's The Godfather (fb:m.07g1sm): The Godfather is a 1972 American crime film directed by Francis ...nd in the category Best Adapted Screenplay for Puzo and Coppola., has type Film
2. The Godfather, also known as Der Pate, Il Padrino (fb:m.0c8zk): The Godfather is a crime novel written by Italian American autho...rner where are held the controls in a hand of the "manipulator"., has type Book
3. Perry Farrell, also known as DJ Peretz, The Godfather, Simon Bernstein, Perry Ferrell, Perry Bernstein (fb:m.01nw3d): Perry Farrell is an American musician, best known as the frontma...ave appeared on the festival's lineup card more than four times., has type Musical Artist
4. The Godfather, also known as Jiaofu, O Poderoso Chefão, Ojciec Chrzestny, Le Parrain, Il Padrino (fb:m.06sdqq): The Godfather is a 2006 open world action-adventure video game d..., Robert Duvall as Tom Hagen and Abe Vigoda as Salvatore Tessio., has type Video game
5. Troy Aikman, also known as Roy, The Godfather, Troy Kenneth Aikman (fb:m.0dr5g9): Troy Kenneth Aikman is a former American football quarterback wh...ack Roger Staubach, and is a part-owner of the San Diego Padres., has type American football player
6. Speak Softly Love, also known as Love Theme from The Godfather, The Godfather, The Godfather Theme (fb:m.0281nvx): "Speak Softly, Love" is a song written for The Godfather, the fi...Academy Award for Best Score, despite containing the same piece., has type Composition
7. The Godfather, also known as Godfather Trilogy, La trilogia del Padrino, The Godfather trilogy (fb:m.065xzzx): The Godfather film series consists of three feature-length crime... box office, with the films earning over $550 million worldwide., has type Film series
8. The Godfather, also known as The Godfather Soundtrack (fb:m.01jrzr6): The Godfather is the soundtrack from the film of the same name, ...rtino, who performed it in the film as character Johnny Fontane., has type Soundtrack
9. The Godfather (fb:m.01jrzp9): has type Musical Release
10. The Godfather (fb:m.04ctx05): The Godfather is a DOS-based game that was released on six flopp... of New York City, Miami, and the village of Corleone in Sicily., has type Video game

[Tool]
Top 10 property alternatives:
1. Genres (fb:film.film.genre): links to type Film genre, part of Film schema
2. Soundtrack (fb:film.film.soundtrack): links to type Soundtrack, part of Film schema
3. Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
4. Netflix Genres (fb:media_common.netflix_title.netflix_genres): part of Netflix Title schema, links to type Netflix Genre
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Featured Song (fb:film.film.featured_song): links to type Film featured song, part of Film schema
7. Subjects (fb:film.film.subjects): links to type Film subject, part of Film schema
8. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
9. Country of origin (fb:film.film.country): links to type Country, part of Film schema
10. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema

No other items found

[Assistant]
The property "fb:film.film.genre" is the correct one to link a film to its genre.

Now, let's put it all together:
- We want films (?film) where ?film fb:film.film.genre fb:m.0vgkd (black comedy).
- We'll also optionally retrieve the film's label.

Let's write the SPARQL query to get movies that are black comedies.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                                                 | filmLabel                                                 |
| -------------------------------------------------------------------- | --------------------------------------------------------- |
| Socarrat (fb:g.119x75q80)                                            | Socarrat (en)                                             |
| S.O.S. (1999) (fb:g.120yljxd)                                        | S.O.S. (1999) (en)                                        |
| No somos nadie (fb:g.1213hpvr)                                       | No somos nadie (en)                                       |
| Karaoke Terror: The Complete Japanese Showa Songbook (fb:g.122brw9x) | Karaoke Terror: The Complete Japanese Showa Songbook (en) |
| Wetlands (fb:m.0_07lz5)                                              | Feuchtgebiete (de)                                        |
| ...                                                                  | ...                                                       |
| The Infinite Man (fb:m.010bn7yw)                                     | The Infinite Man (en)                                     |
| Violent Florence (fb:m.010bnbnl)                                     | Violent Florence (en)                                     |
| The Misfortune Of Others (fb:m.010bwz4m)                             | The Misfortune Of Others (en)                             |
| Mommy (fb:m.010f514q)                                                | Mama (pl)                                                 |
| Mommy (fb:m.010f514q)                                                | Mamica (sl)                                               |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct: it retrieves films that have the genre 'black comedy' and optionally their labels. However, there are a couple of refinements needed:

1. The query currently returns multiple labels for the same film in different languages (e.g., 'Mommy' appears with different labels). To improve clarity, you could restrict the rdfs:label to English labels by adding a FILTER (lang(?filmLabel) = 'en').
2. The LIMIT 20 is arbitrary and may exclude relevant results. If the user wants a more comprehensive list, consider increasing the limit or removing it, unless performance is a concern.

Otherwise, the query structure is correct and follows the rules.

[Assistant]
Thank you for the feedback! Here’s how I’ll refine the query:

1. I’ll add a FILTER to only include English labels: FILTER (lang(?filmLabel) = 'en').
2. I’ll remove the LIMIT clause to provide a more comprehensive list of black comedy films.

Here’s the improved SPARQL query:

```sparql
SELECT ?film ?filmLabel WHERE {
  ?film fb:film.film.genre fb:m.0vgkd .
  OPTIONAL { ?film rdfs:label ?filmLabel . FILTER (lang(?filmLabel) = 'en') }
}
```

This will return all films classified as black comedies, with their English labels where available.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all films that are classified as black comedies by filtering for the genre 'black comedy' (fb:m.0vgkd) and returns their IRIs and optional English labels. The query follows all the required rules, including returning IRIs, using OPTIONAL for labels, and not using unsupported SERVICE clauses. The answer is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?timezone WHERE {
  fb:m.03j6g4 fb:location.location.time_zones ?timezone .
}

Cres (the island in Croatia) is found in the Central European Time Zone.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] in what time zone is cres found

[Assistant]
Let's break down the question:

1. The user is asking for the time zone of "Cres".
2. First, I need to identify what "Cres" refers to in Freebase (likely a place, possibly the island in Croatia).
3. Then, I need to find the property in Freebase that relates a place to its time zone.

Step 1: Search for the entity "Cres" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Stainless steel, also known as CRES, Inox steel, Inox, Corrosion resistant steels, Corrosion-resistant steel (fb:m.06qqv): In metallurgy, stainless steel, also known as inox steel or inox...ks corrosion from spreading into the metal's internal structure., has type Material
2. Cres (fb:m.03j6g4): Cres is an Adriatic island in Croatia. It is one of the northern... town of Osor. Cres's only fresh water source is the Lake Vrana., has type Geographical Feature
3. Cres, also known as Cres, Croatia (fb:m.02rbd_g): Cres is a Croatian town found on the Island of Cres which can be... and located at 44°57′37″N 14°24′29″E / 44.96015°N 14.40811°E., has type City/Town/Village
4. Cres, also known as Cres (fb:m.0f7y6wh): has type Record Producer
5. Carrington Real Estate Services, also known as Carrington Real Estate Services (CA), Inc, CRES, Carrington Real Estate Services (US), LLC, Carrington Real Estate Services, LLC (fb:m.010p0d8w): has type Brand
6. Cres (fb:m.0h_ct_4): In Greek mythology, Cres or Kres was a possible eponym of the is...aker of the young Zeus who was hidden by him in a cave on Crete.
7. Cst8, also known as Cres, Cst-rs1, Cystatin 8 (cystatin-related epididymal spermatogenic), cystatin-related epididymal-specific (fb:m.02kfn5s): has type Protein
8. Franco Di Santo, also known as Crespito, Franco Matías Di Santo (fb:m.02wyvzm): Franco Matías Di Santo is an Argentine footballer who plays as a...spito' after Chelsea's former Argentinian striker Hernán Crespo., has type Football player
9. Chinese Crested Dog, also known as Crested, Puff (fb:m.01f57_): The Chinese crested dog is a hairless breed of dog. Like most ha...h are born in the same litter: the Powder Puff and the Hairless., has type Animal breed
10. Cressida (fb:m.0jw2m): Cressida is an inner satellite of Uranus. It was discovered from...da may collide with Desdemona within the next 100 million years., has type Moon

[Assistant]
From the search results, there are two relevant entities for "Cres" as a place:

- Cres (fb:m.03j6g4): The Adriatic island in Croatia.
- Cres, also known as Cres, Croatia (fb:m.02rbd_g): The town on the island of Cres.

Since the question is general ("in what time zone is cres found"), I will focus on the island (fb:m.03j6g4), as it encompasses the town as well.

Next, I need to find the property in Freebase that relates a geographical feature or place to its time zone. I'll search for properties related to "time zone".

[Tool]
Top 10 property alternatives:
1. Time zone (fb:business.open_times.time_zone): part of Open Times schema, links to type Time Zone
2. Time zone (fb:base.schemastaging.phone_open_times.time_zone): part of Phone open times schema, links to type Time Zone
3. Timezone (fb:user.ngerakines.world_of_warcraft.realm.timezone): part of Realm schema, links to type Topic
4. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
5. Time zone name (DST) (fb:time.time_zone.time_zone_name_dst): part of Time Zone schema, links to type Text
6. Time zone name (standard) (fb:time.time_zone.time_zone_name_standard): part of Time Zone schema, links to type Text
7. time (fb:base.recipetest.recipe.time): links to type Integer, part of recipe schema
8. Time (fb:user.trumpi.default_domain.stop.time): links to type Unit of Time, part of Stop schema
9. Time (fb:user.alexwright.transit.transit_line_timetable_stop.time): part of Transit Line Timetable Stop schema, links to type Date/Time
10. Time (fb:distilled_spirits.spirit_aging.time): links to type Floating Point Number, part of Spirit aging schema

[Assistant]
The most relevant property for relating a location to its time zone is:

- Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Now, I will check if the entity for Cres (the island, fb:m.03j6g4) has this property, and if not, I will check the town entity (fb:m.02rbd_g). I will list the triples for the island entity with the time zone property.

[Tool]
Got 1 row and 3 columns:
| subject            | property                                       | object                                   |
| ------------------ | ---------------------------------------------- | ---------------------------------------- |
| Cres (fb:m.03j6g4) | Time zone(s) (fb:location.location.time_zones) | Central European Time Zone (fb:m.02llzg) |

[Tool]
Got 41,739 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                                                            | object                                                                      |
| ---------------------------------------- | ------------------------------------------------------------------- | --------------------------------------------------------------------------- |
| Central European Time Zone (fb:m.02llzg) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                     |
| Central European Time Zone (fb:m.02llzg) | Key (fb:type.object.key)                                            | /en/central_european_time                                                   |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name)                                          | Centrāleiropas laiks (lv)                                                   |
| Central European Time Zone (fb:m.02llzg) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2A%48%42%4A%2A_%48%33%37_%23%48%31%48%28%27> |
| Central European Time Zone (fb:m.02llzg) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254yq_hs                                                              |
| Central European Time Zone (fb:m.02llzg) | Notable types (fb:common.topic.notable_types)                       | Time Zone (fb:m.02nsj6r)                                                    |
| Central European Time Zone (fb:m.02llzg) | Description (fb:common.topic.description)                           | A Hora Central Europeia equivale...cia*
 Suíça*
 Tunísia
 Vaticano* (pt)    |
| Central European Time Zone (fb:m.02llzg) | Article (fb:common.topic.article)                                   | fb:m.02llzr                                                                 |
| Central European Time Zone (fb:m.02llzg) | Image (fb:common.topic.image)                                       | ToÄen srednjeevropski Äas (fb:m.05plmmw)                                  |
| Central European Time Zone (fb:m.02llzg) | Pronunciation (fb:base.schemastaging.context_name.pronunciation)    | fb:g.125_n1f0t                                                              |
| ...                                      | ...                                                                 | ...                                                                         |

[Tool]
Got 38 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                   | object                               |
| ---------------------------------------- | -------------------------- | ------------------------------------ |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Centrāleiropas laiks (lv)            |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Central European Time Zone (da)      |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Central European Time Zone (en)      |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Central European Time Zone (en-US)   |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Central European Time Zone (it)      |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Centraleuropeisk tid (sv)            |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Czas środkowoeuropejski (pl)         |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Giờ chuẩn Trung Âu (vi)              |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Heure normale d'Europe centrale (fr) |
| Central European Time Zone (fb:m.02llzg) | Name (fb:type.object.name) | Hora central europea (es)            |
| ...                                      | ...                        | ...                                  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the time zone identifier for Cres using the appropriate entity and property. The answer matches the query result, and the query returns the actual IRI of the time zone, as required. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person ( SAMPLE( ?enLabel ) AS ?personLabel ) WHERE {
  ?person fb:people.person.place_of_birth fb:m.025_mm .
  OPTIONAL {
    ?person rdfs:label ?enLabel FILTER ( lang( ?enLabel ) = 'en' )
  }
  OPTIONAL {
    ?person rdfs:label ?anyLabel
  }
}
GROUP BY ?person

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                             | personLabel              |
| ---------------------------------- | ------------------------ |
| Ivo Ivanov (fb:m.0282824)          | Ivo Ivanov (en)          |
| Todor Yanchev (fb:m.02q33tk)       | Todor Yanchev (en)       |
| Marian Gospodinov (fb:m.03npl8h)   | Marian Gospodinov (en)   |
| Hristo Stambolski (fb:m.04g12xx)   | Hristo Stambolski (en)   |
| Galin Ivanov (fb:m.05f3d_3)        | Galin Ivanov (en)        |
| ...                                | ...                      |
| Epiphany Shanov (fb:m.0hzn2p2)     | Epiphany Shanov (en)     |
| Petar Drenchev (fb:m.0hznh4d)      | Petar Drenchev (en)      |
| Bozhidar Boyadzhiev (fb:m.0kf7f3f) | Bozhidar Boyadzhiev (en) |
| Kolyo Neshev (fb:m.0nfvxkx)        | Kolyo Neshev (en)        |
| Nelina Georgieva (fb:m.0zmznky)    | Nelina Georgieva (en)    |

This refined query returns each person born in Kazanlak (fb:m.025_mm) with a single English label if available, or another label otherwise, ensuring no duplicate person IRIs in the result.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] who was born in kazanlak?

[Assistant]
Let's break down the question:

1. The user wants to know which entities (likely people) were born in Kazanlak.
2. First, I need to identify the entity for "Kazanlak" in Freebase.
3. Then, I need to find the property that links people to their place of birth.
4. Finally, I will construct a SPARQL query to find all entities with a place of birth of Kazanlak.

Let's start by searching for the entity "Kazanlak" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Kazanlak, also known as Kazanlak municipality (fb:m.025_mm): Kazanlak is a Bulgarian town in Stara Zagora Province, located i...azanlak is one of the most widely recognizable national symbols., has type City/Town/Village
2. Kazanlak (fb:m.04rm4l5)
3. Kazanlak Municipality (fb:m.0_s4fjw): has type Location
4. Kazanlak Peak (fb:m.0b5d56): Kazanlak Peak is a rocky peak rising to 430 m in Delchev Ridge o...he peak is named after the city of Kazanlak in central Bulgaria., has type Location
5. Katex Kazanlak (fb:m.0cqk4fh): has type Business Operation
6. Vlahov Kazanlak (fb:m.0gzqht_)
7. Ino AD Kazanlak (fb:m.0cqkps_): has type Business Operation
8. Mesokombinat - Kazanlak (fb:m.0cqjctk): has type Business Operation
9. Thracian Tomb of Kazanlak (fb:m.04901g): The Thracian Tomb of Kazanlak is a vaulted-brickwork "beehive" t...on the reverse of the Bulgarian 50 stotinki coin issued in 2005., has type Location
10. The Center of Kazanlak (fb:m.04px7fv)

[Assistant]
The most relevant entity for the city of Kazanlak is "Kazanlak" (fb:m.025_mm), which is described as a Bulgarian town.

Next, I need to find the property in Freebase that links a person to their place of birth. I'll search for properties related to "place of birth".

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:base.iraqimusicbase.iraqi_person.place_of_birth): part of iraqi person schema, links to type Text
2. Place of Birth (fb:biology.organism.place_of_birth): part of Organism schema, links to type Location
3. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): part of Fictional Character schema, links to type Fictional Setting
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Date of Birth (fb:base.iceandfire.person.date_of_birth): links to type Date/Time, part of Person schema
6. Date of birth (fb:base.patienthealthrecord.profile.date_of_birth): part of phr Patient schema, links to type Day Of Year
7. Date of birth (fb:base.iraqimusicbase.iraqi_person.date_of_birth): part of iraqi person schema, links to type Date/Time
8. Date of birth (fb:base.battlestargalactica.character.date_of_birth): links to type Colonial date-time, part of Character schema
9. Date of birth (fb:user.bugs.default_domain.x.date_of_birth): links to type Date/Time, part of 非义务教育 schema
10. Date of Birth (fb:base.sportbase.sport_club_coach.date_of_birth): part of Sport Club Coach schema, links to type Date/Time

[Assistant]
The most general and relevant property for people is "place of birth" (fb:people.person.place_of_birth), which links a person to a location.

Now, I will construct a SPARQL query to find all entities (likely people) whose place of birth is Kazanlak (fb:m.025_mm). I'll also try to get their labels if available.

[Tool]
Got 74 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                             | personLabel            |
| ---------------------------------- | ---------------------- |
| Ivo Ivanov (fb:m.0282824)          | Ivo Ivanov (en)        |
| Ivo Ivanov (fb:m.0282824)          | Ivo Ivanov (it)        |
| Ivo Ivanov (fb:m.0282824)          | Ivo Ivanov Ivanov (fr) |
| Ivo Ivanov (fb:m.0282824)          | Iwo Iwanow (de)        |
| Ivo Ivanov (fb:m.0282824)          | Iwo Iwanow (pl)        |
| ...                                | ...                    |
| Bozhidar Boyadzhiev (fb:m.0kf7f3f) | Божидар Бояджиев (bg)  |
| Kolyo Neshev (fb:m.0nfvxkx)        | Kolo Neszew (pl)       |
| Kolyo Neshev (fb:m.0nfvxkx)        | Kolyo Neshev (en)      |
| Kolyo Neshev (fb:m.0nfvxkx)        | Кольо Нешев (bg)       |
| Nelina Georgieva (fb:m.0zmznky)    | Nelina Georgieva (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct and returns the IRIs of people born in Kazanlak, as well as their labels in various languages. However, the OPTIONAL clause for rdfs:label returns multiple rows per person (one for each language), which can lead to duplicate person IRIs in the result set. To improve the query, consider grouping the results by person or limiting the label to a preferred language (e.g., English) if only one label per person is desired. Otherwise, the query fulfills the requirements and returns the correct set of individuals.

[Assistant]
Thank you for your feedback! To address the issue of duplicate person IRIs due to multiple labels in different languages, I will refine the query to return only one label per person, prioritizing the English label if available.

I will use GROUP BY and the SAMPLE aggregate to select a single (preferably English) label per person. Here’s how I’ll proceed:

1. For each person born in Kazanlak, retrieve their English label if it exists.
2. If an English label is not available, retrieve any available label.
3. Ensure only one row per person is returned.

Here is the improved SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all persons born in Kazanlak by using the appropriate Freebase entity for Kazanlak and the correct property for place of birth. It returns the IRIs of the persons as required, and includes labels in an optional manner, prioritizing English labels. The grouping and use of SAMPLE prevent duplicate entries. The answer is correct and complete.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?country ( SAMPLE( ?countryLabel ) AS ?sampleLabel ) WHERE {
  fb:m.024w3s fb:people.person.nationality ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel
  }
}
GROUP BY ?country

Charlotte Caffey is from the United States of America (fb:m.09c7w0).

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 nation is charlotte caffey from?

[Assistant]
Let's break down the question:

1. The entity in question is "Charlotte Caffey".
2. The property we are interested in is the "nation" or "country" she is from, which typically relates to "nationality" or "place of birth".

First, I will search for the entity "Charlotte Caffey" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Charlotte Caffey, also known as Caffey, Charlotte, Charlotte Irene Caffey (fb:m.024w3s): Charlotte Irene Caffey is an American rock and roll guitarist an...d Kingdom debut at the Edinburgh Festival Fringe in August 2010., has type Guitarist
2. Charlotte Caffey (2008) (fb:m.04rfg69)
3. Charlotte, also known as Charlotte, NC, Charlotte, North Carolina, Mecklenburg County / Charlotte city, The Queen City (fb:m.0fsb8): Charlotte /ˈʃɑrlət/ is the largest city in the U.S. state of Nor...makes it the second largest banking center in the United States., has type City/Town/Village
4. Charlotte Nilsson, also known as Lotta, Charlotte Perrelli, Anna Jenny Charlotte Perrelli, Charlotte Perelli, Charlotte Nilsson-Perrelli (fb:m.01m716q): Charlotte Perrelli is a Swedish singer and occasional television... schlager, via modern pop, to soulful ballads and jazz melodies., has type Musical Artist
5. University of North Carolina at Charlotte, also known as UNCC, UNC Charlotte, Charlotte (fb:m.024y8p): The University of North Carolina at Charlotte, also known as UNC...which is the second largest banking center in the United States., has type College/University
6. Charlotte, also known as Charlotte, Michigan, Eaton County / Charlotte city (fb:m.0v51v): Charlotte is a city in the U.S. state of Michigan. As of the 201...ital of Lansing. It is located 21.5 miles from downtown Lansing., has type City/Town/Village
7. Charlotte, also known as Atascosa County / Charlotte city, Charlotte, Texas (fb:m.0_xp2): Charlotte is a city in Atascosa County, Texas, United States. Th...harles Simmons, who aided in the development of Atascosa County., has type City/Town/Village
8. Charlotte, also known as Charlotte, Iowa, Clinton County / Charlotte city (fb:m.0sthx): Charlotte is a city in Clinton County, Iowa, United States. The population was 394 at the 2010 census., has type City/Town/Village
9. Charlotte, also known as Charlotte, Tennessee, Dickson County / Charlotte town (fb:m.0_tl3): Charlotte is a town in Dickson County, Tennessee, United States....on County. This town is part of the Nashville metropolitan area., has type City/Town/Village
10. Charlotte, also known as Parish Of Charlotte (fb:m.0914p0): Charlotte is the largest parish of Saint Vincent and the Grenadi... the Cow and Calves, rocks off the north shore of Saint Vincent., has type Administrative Division

[Assistant]
The top result for "Charlotte Caffey" is fb:m.024w3s, described as an American rock and roll guitarist. This matches the person in question.

Next, I need to find the property that links a person to their nation, such as "nationality" or "country of citizenship". I will search for properties related to "nationality" in Freebase.

[Tool]
Top 10 property alternatives:
1. Nationality (fb:user.jamie.default_domain.war_ship.nationality): part of War Ship schema, links to type Country
2. nationality (fb:base.svocab.person.nationality): part of Person schema, links to type Text
3. Nationality (fb:user.rcheramy.default_domain.nhl_draft_pick.nationality): part of NHL Draft Pick schema, links to type Country
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Country of citizenship (fb:user.narphorium.people.citizen.country): part of Citizen schema, links to type Country
6. Place of birth (fb:base.iraqimusicbase.iraqi_person.place_of_birth): part of iraqi person schema, links to type Text
7. Place of Birth (fb:biology.organism.place_of_birth): part of Organism schema, links to type Location
8. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): part of Fictional Character schema, links to type Fictional Setting
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Was born (fb:user.maximilianschich.CIDOC_CRM.e21_person.was_born): links to type P98 brought into life (was born), part of E21 Person schema

[Assistant]
The most relevant property for linking a person to their nation is "Country of nationality" (fb:people.person.nationality), which links to a Country entity.

Now, I will construct a SPARQL query to find the country of nationality for Charlotte Caffey (fb:m.024w3s). I will also try to get the label of the country for clarity.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                                | countryLabel                     |
| -------------------------------------- | -------------------------------- |
| United States of America (fb:m.09c7w0) | Ameerika Ühendriigid (et)        |
| United States of America (fb:m.09c7w0) | Amerika Birleşik Devletleri (tr) |
| United States of America (fb:m.09c7w0) | Amerikai Egyesült Államok (hu)   |
| United States of America (fb:m.09c7w0) | Amerika Serikat (id)             |
| United States of America (fb:m.09c7w0) | Amerikas Savienotās Valstis (lv) |
| ...                                    | ...                              |
| United States of America (fb:m.09c7w0) | สหรัฐอเมริกา (th)                |
| United States of America (fb:m.09c7w0) | 미국 (ko)                          |
| United States of America (fb:m.09c7w0) | アメリカ合衆国 (ja)                     |
| United States of America (fb:m.09c7w0) | 美国 (zh)                          |
| United States of America (fb:m.09c7w0) | 美國 (zh-Hant)                     |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the nationality of Charlotte Caffey by using the appropriate entity and property. However, the query returns multiple rows for the same country (United States of America) due to different language labels. To improve the query, you should use SELECT DISTINCT or GROUP BY to ensure that each country appears only once in the result. This will make the result cleaner and more precise, especially if the user only wants to know the country identifier or a single label.

[Assistant]
Thank you for the feedback. To address the issue of duplicate rows caused by multiple language labels, I will update the SPARQL query to use SELECT DISTINCT. Additionally, I will retrieve only one label per country using GROUP BY and SAMPLE, which ensures a single, representative label is shown for each country.

Here is the improved query:

```sparql
SELECT DISTINCT ?country (SAMPLE(?countryLabel) AS ?sampleLabel) WHERE {
  fb:m.024w3s fb:people.person.nationality ?country .
  OPTIONAL { ?country rdfs:label ?countryLabel }
}
GROUP BY ?country
```

Now, I will provide the final answer using this refined query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the nationality of Charlotte Caffey by using her Freebase identifier and the appropriate property for nationality. The query returns the IRI of the country as required, and the answer matches the expected result. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?album ?albumLabel WHERE {
  fb:m.0p7h7 fb:music.artist.album ?album .
  ?album fb:music.album.artist fb:m.0p7h7 .
  ?album rdfs:label ?albumLabel .
  FILTER ( LANG( ?albumLabel ) = 'en' )
}
LIMIT 10

Got 10 rows and 2 columns:
| album                                                                   | albumLabel                                                   |
| ----------------------------------------------------------------------- | ------------------------------------------------------------ |
| Mean Old Man (fb:g.11b7qnjsjb)                                          | Mean Old Man (en)                                            |
| Great Balls Of Fire (fb:g.11b81r02lr)                                   | Great Balls Of Fire (en)                                     |
| The Country Collection (fb:g.11btzwkxls)                                | The Country Collection (en)                                  |
| The Return of Jerry Lee (fb:g.11bv2mvwmm)                               | The Return of Jerry Lee (en)                                 |
| Roy Orbison Sings (fb:g.11bxwfjh1y)                                     | Roy Orbison Sings (en)                                       |
| Les Rois du rock, vol. 8 (fb:m.010jhbd2)                                | Les Rois du rock, vol. 8 (en)                                |
| Historia de la musica rock (fb:m.010s5ckn)                              | Historia de la musica rock (en)                              |
| Playlist: The Very Best of Jerry Lee Lewis Sun Sessions (fb:m.011d4zw8) | Playlist: The Very Best of Jerry Lee Lewis Sun Sessions (en) |
| The Country Sound of Jerry Lee Lewis (fb:m.011w3_47)                    | The Country Sound of Jerry Lee Lewis (en)                    |
| Greatest Hits: Finest Performances (fb:m.01244yz4)                      | Greatest Hits: Finest Performances (en)                      |

This query returns only albums by Jerry Lee Lewis where he is the main artist and the album has an English label. Examples include "Mean Old Man", "Great Balls Of Fire", "The Country Collection", "The Return of Jerry Lee", and "Les Rois du rock, vol. 8". The query excludes unlabeled albums.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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's an album by jerry lee lewis

[Assistant]
Let's break down the question:

1. The user is asking for an album by Jerry Lee Lewis.
2. First, I need to identify the entity for "Jerry Lee Lewis" in Freebase.
3. Then, I need to find properties related to albums (such as "album", "music album", "discography", etc.) for this entity.
4. Finally, I will construct a SPARQL query to retrieve one or more albums by Jerry Lee Lewis.

Let's start by searching for the entity "Jerry Lee Lewis" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Jerry Lee Lewis, also known as rock & roll's first great wild man, Gerald Lee Lewis, The Killer Himself, The Killer, The Ferriday Fireball (fb:m.0p7h7): Jerry Lee Lewis is an American singer-songwriter, musician, and ... performances at this time were increasingly wild and energetic., has type Musical Artist
2. Jerry Lee Lewis, also known as Jerry Lee Lewis (disc 2) (fb:m.039582q): has type Musical Release
3. Jerry Lee Lewis, also known as High School Confidential (fb:m.07wl41): Jerry Lee Lewis is the debut album by American musician and rock...turing bonus tracks from his first EP, "The Great Ball of Fire"., has type Musical Album
4. Jerry Lee Lewis (fb:m.034t_1m): has type Musical Release
5. Jerry Lee Lewis (fb:m.01j38c5): has type Consumer product
6. Jerry Lee Lewis (fb:m.0x96_73): has type Musical Release
7. Jerry Lee Lewis (fb:m.0321mnv): has type Musical Release
8. Jerry Lee Lewis (fb:m.0wh56rd): has type Consumer product
9. Jerry Lee Lewis, also known as Rockin' My Life Away, Rockin' My Life Away: The Jerry Lee Lewis Collection (fb:m.0dvyc9l): Jerry Lee Lewis is an album by American rock and roll and country artist Jerry Lee Lewis released on the Elektra label in 1979., has type Musical Album
10. Jerry Lee Lewis (fb:m.0dvyc9d): has type Musical Release

[Assistant]
The main entity for the artist Jerry Lee Lewis is fb:m.0p7h7. There are also several entities for albums and releases named "Jerry Lee Lewis" and other albums.

Next, I need to find albums associated with the artist entity fb:m.0p7h7. To do this, I'll search for properties related to "album" or "discography" for this entity.

[Tool]
Top 10 property alternatives:
1. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
2. Recordings (fb:music.featured_artist.recordings): links to type Musical Recording, part of Featured artist schema
3. Recordings (fb:music.artist.track): links to type Musical Recording, part of Musical Artist schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre
7. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Assistant]
The property fb:music.artist.album is the most relevant, as it links a musical artist to their albums.

Now, I will construct a SPARQL query to retrieve the albums (with their IRIs and optionally their labels) associated with Jerry Lee Lewis (fb:m.0p7h7) using the property fb:music.artist.album.

[Tool]
Got 10 rows and 2 columns:
| album                                     | albumLabel                    |
| ----------------------------------------- | ----------------------------- |
| Mean Old Man (fb:g.11b7qnjsjb)            | Mean Old Man (en)             |
| Great Balls Of Fire (fb:g.11b81r02lr)     | Great Balls Of Fire (en)      |
| The Country Collection (fb:g.11btzwkxls)  | The Country Collection (en)   |
| The Return of Jerry Lee (fb:g.11bv2mvwmm) | The Return of Jerry Lee (en)  |
| Roy Orbison Sings (fb:g.11bxwfjh1y)       | Roy Orbison Sings (en)        |
| fb:g.11x7vbvdc                            |                               |
| fb:g.1218czyk                             |                               |
| fb:g.121ngm53                             |                               |
| fb:g.122y068b                             |                               |
| Les Rois du rock, vol. 8 (fb:m.010jhbd2)  | Les Rois du rock, vol. 8 (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves albums associated with Jerry Lee Lewis and returns their IRIs, as required. However, the result includes an album titled "Roy Orbison Sings," which is not an album by Jerry Lee Lewis but by Roy Orbison. This suggests that the property fb:music.artist.album may include albums where Jerry Lee Lewis is not the primary artist, or there is a data issue. The query should be refined to ensure that only albums where Jerry Lee Lewis is the main artist are returned, possibly by checking the main artist property of the album. Additionally, the query could filter for English labels to avoid empty label fields.

[Assistant]
Thank you for the feedback. Here’s my plan to refine the query:

1. The issue is that some albums (like "Roy Orbison Sings") are not actually by Jerry Lee Lewis, so we need to ensure that only albums where Jerry Lee Lewis is the main artist are returned.
2. To do this, I need to check if albums have a property indicating their main artist, and filter for those where the main artist is Jerry Lee Lewis (fb:m.0p7h7).
3. I will search for properties of a typical album entity (e.g., "Mean Old Man") to find the property that links an album to its main artist.
4. I will also filter for English labels to avoid empty or non-English label fields.

First, I’ll search for properties of the album "Mean Old Man" (fb:g.11b7qnjsjb) to find the main artist property.

[Tool]
Top 10 property alternatives:
1. Artist (fb:music.album.artist): links to type Musical Artist, part of Musical Album schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Release type (fb:music.album.release_type): links to type Musical Album Type, part of Musical Album schema

No other items found

[Assistant]
The property fb:music.album.artist links an album to its main artist. To ensure we only get albums where Jerry Lee Lewis is the main artist, I will add a triple to the query requiring ?album fb:music.album.artist fb:m.0p7h7.

Additionally, I will filter for English labels using a FILTER clause on the language tag.

Here is the refined query.

[Tool]
Got 10 rows and 2 columns:
| album                                     | albumLabel                    |
| ----------------------------------------- | ----------------------------- |
| Mean Old Man (fb:g.11b7qnjsjb)            | Mean Old Man (en)             |
| Great Balls Of Fire (fb:g.11b81r02lr)     | Great Balls Of Fire (en)      |
| The Country Collection (fb:g.11btzwkxls)  | The Country Collection (en)   |
| The Return of Jerry Lee (fb:g.11bv2mvwmm) | The Return of Jerry Lee (en)  |
| Roy Orbison Sings (fb:g.11bxwfjh1y)       | Roy Orbison Sings (en)        |
| fb:g.11x7vbvdc                            |                               |
| fb:g.1218czyk                             |                               |
| fb:g.121ngm53                             |                               |
| fb:g.122y068b                             |                               |
| Les Rois du rock, vol. 8 (fb:m.010jhbd2)  | Les Rois du rock, vol. 8 (en) |

[Assistant]
Even after requiring that the album's main artist is Jerry Lee Lewis, "Roy Orbison Sings" still appears, suggesting a data issue in Freebase where this album is incorrectly linked to Jerry Lee Lewis as the main artist. However, the query now correctly restricts results to albums where Jerry Lee Lewis is listed as the main artist, and filters for English labels.

Here is the refined SPARQL query that implements these improvements:

```sparql
SELECT ?album ?albumLabel WHERE {
  fb:m.0p7h7 fb:music.artist.album ?album .
  ?album fb:music.album.artist fb:m.0p7h7 .
  OPTIONAL { ?album rdfs:label ?albumLabel . FILTER(LANG(?albumLabel) = 'en') }
} LIMIT 10
```

Despite the data issue, this query is the best possible refinement based on the available properties and structure in Freebase.

[User]
Feedback (status=refine):
The SPARQL query is well-constructed and correctly restricts results to albums where Jerry Lee Lewis is the main artist, and it retrieves English labels. However, the presence of 'Roy Orbison Sings' in the results suggests a data quality issue in Freebase, which cannot be fixed at the query level. The query also returns unlabeled albums, which could be filtered out by requiring that ?albumLabel exists and is in English. To further refine, you could add a FILTER to exclude results where ?albumLabel is missing, ensuring only labeled albums are returned. Otherwise, the query is correct given the data limitations.

[Assistant]
Thank you for the feedback. To further refine the query as suggested, I will add a FILTER to ensure that only albums with an English label are returned, excluding any unlabeled albums.

Here is the improved SPARQL query:

```sparql
SELECT ?album ?albumLabel WHERE {
  fb:m.0p7h7 fb:music.artist.album ?album .
  ?album fb:music.album.artist fb:m.0p7h7 .
  ?album rdfs:label ?albumLabel .
  FILTER(LANG(?albumLabel) = 'en')
} LIMIT 10
```

This will ensure that only albums with an English label are included in the results.

Final answer:

[Tool] Stopped generation process