PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?song ) AS ?count ) WHERE {
  ?song wdt:P86 wd:Q238819 ; wdt:P7937 wd:Q7366 .
  FILTER NOT EXISTS {
    ?song wdt:P361 ?album .
    ?album wdt:P175 wd:Q238819 ; wdt:P31 wd:Q482994 .
  }
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

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

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

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

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

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

[User] How many songs were composed by Jay Chou but not released in his own albums?

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                       | property           | object       |
| ----------------------------- | ------------------ | ------------ |
| České Středohoří (wd:Q264667) | part of (wdt:P361) | wd:Q12045883 |

[Tool]
Top 10 entity alternatives:
1. Blue and White Porcelain (wd:Q22100125): 2007 song by Jay Chou
2. White Porcelain and Blue Vase (wd:Q119441817): painting by Vicente Gandía (1935–2009), Essex Collection of Art from Latin America
3. Seto ware blue and white porcelain, also known as Seto sometsuke (wd:Q96473413)
4. Flowers in a blue and white porcelain vase, also known as Blumenstrauß (wd:Q27979258): painting by Ambrosius Bosschaert d. Ä.
5. Blue and White, also known as Blue and White list, Blue and White party (wd:Q61788155): Israeli political alliance
6. Blue and White (wd:Q11854420): 1973 album by Jukka Kuoppamäki
7. Blue and White (wd:Q30602683): album by Doug Raney
8. Blue and White (wd:Q4930047): song
9. White And Blue (wd:Q24866669): album
10. Blue and white (wd:Q108853622): exhibition in Sweden 2008

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. song, also known as vocal pieces, vocal piece, songs, pieces of vocal music, piece of vocal music (wd:Q7366): musical composition for voice(s)
2. Song of Songs, also known as Canticles, Song of Solomon, Song (wd:Q51670): book of the Bible
3. Song dynasty, also known as Song, Sung Dynasty, Sung, Song Dynasty, Song Empire (wd:Q7462): former imperial dynasty of China
4. Song (wd:Q1065073): one of the twelve feudal states of Western Zhou dynasty
5. Song (wd:Q120230): district in Phrae province, Thailand
6. Song (wd:Q667992): defunct low-cost airline
7. Song, also known as Sòng, Soong, Sung, 宋 (wd:Q717770): Chinese family name (宋)
8. Ming, also known as Mingti, Song, Songti, Sun (wd:Q1071487): family of CJK typefaces
9. Song (wd:Q7560957): LGA and town in Adamawa State, Nigeria
10. Xue Song, also known as Song (wd:Q1018013): Tang Dynasty non imperial prince, politician

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 1 column:
| totalSongs  |
| ----------- |
| 0 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool] Got no rows and 2 columns

[Tool]
Got 34 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                            | object                                   |
| --------------------------------------- | ----------------------------------- | ---------------------------------------- |
| Blue and White Porcelain (wd:Q22100125) | instance of (wdt:P31)               | musical work/composition (wd:Q105543609) |
| Blue and White Porcelain (wd:Q22100125) | publication date (wdt:P577)         | 2007-11-02T00:00:00Z (xsd:dateTime)      |
| Blue and White Porcelain (wd:Q22100125) | language of work or name (wdt:P407) | Chinese (wd:Q7850)                       |
| Blue and White Porcelain (wd:Q22100125) | performer (wdt:P175)                | Jay Chou (wd:Q238819)                    |
| Blue and White Porcelain (wd:Q22100125) | form of creative work (wdt:P7937)   | song (wd:Q7366)                          |
| Blue and White Porcelain (wd:Q22100125) | Freebase ID (wdt:P646)              | /m/0zxbvd4                               |
| Blue and White Porcelain (wd:Q22100125) | wdt:P31279                          | musical work (wd:Q2188189)               |
| Blue and White Porcelain (wd:Q22100125) | schema:description                  | 2007 song by Jay Chou (en)               |
| Blue and White Porcelain (wd:Q22100125) | schema:name                         | Blue and White Porcelain (en)            |
| Blue and White Porcelain (wd:Q22100125) | rdf:type                            | wikibase:Item                            |
| ...                                     | ...                                 | ...                                      |

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
3. Jaya Choudhary (wd:Q88317282): researcher
4. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
5. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
6. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
7. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
8. Jay Chou 2007 World Tour Concert Live (wd:Q1100149): live album
9. J, also known as ᴊ, Juliett, Juliet, j, jay (wd:Q9773): 10th-17th letter of Latin alphabets
10. Eurasian Jay, also known as Garrulus glandarius, Jay, European Jay (wd:Q25354): species of bird

[Tool]
Got 1 row and 1 column:
| totalSongs  |
| ----------- |
| 1 (xsd:int) |

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Joe Shoong, also known as Chou Song, Zhou Song (wd:Q50385965): Chinese-American businessman and philanthropist, businessperson
3. Jay Song (wd:Q110015000): jewelry designer
4. Song Chou (wd:Q65868353): person, CBDB ID = 398245
5. Song Chou (wd:Q65915748): person, CBDB ID = 381700
6. Chō Happy Song, also known as Chou HAPPY SONG (wd:Q1058023): 2012 single by Berryz工房 × ℃-ute
7. Jay Hyok Song (wd:Q96249001): researcher
8. Song Chouwei (wd:Q45616633): Qing dynasty person CBDB = 354488
9. Songgom Jaya, also known as Songgomjaya (wd:Q13547272): village in Serang Regency, Banten, Indonesia
10. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. On the Run Tour: Beyoncé and Jay Z (wd:Q18152987): US television program
2. On the Run (wd:Q930240): Experimental electronic song by Pink Floyd, from their album The Dark Side of the Moon
3. Flight, also known as On the Run (wd:Q4080436): play written by Mikhail Bulgakov
4. Cavale, also known as On the Run, On the Run: Trilogy 1 (wd:Q2943208): 2002 film by Lucas Belvaux
5. On the Run (wd:Q704149): 2007 album by Jay Chou
6. Abartan, also known as On The Run (wd:Q25681768): 1993 Assamese language film
7. On the Run Tour, also known as On the Run (wd:Q7091538): 2011–12 concert tour by Paul McCartney
8. On the Run (wd:Q7091527): 1988 film by Alfred Cheung
9. On the Run, also known as On The Run™ (wd:Q117341499): 2015 video game
10. On the Run (wd:Q7091530): novel by Nina Bawden

[Tool]
Top 10 property alternatives:
1. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): author of song lyrics, author
2. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
4. Spotify songwriter ID (wd:P8347 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier for a songwriter credited on Spotify
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person(s) who wrote the script for subject item, film crew member, author
7. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): organization or person that developed the item, creator
9. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): notable scientific, artistic or literary work, or other work of significance among subject's works
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): time when an entity begins to exist; for date of official opening use P1619, start time

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 7 (xsd:int) |

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
3. Jaya Choudhary (wd:Q88317282): researcher
4. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
5. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
6. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
7. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
8. Jay and Silent Bob's Secret Stash (wd:Q6167384): comic book store
9. Kotte Divisional Secretariat, also known as SRI JAYAWARDHANAPURA KOTTE Divisional secretariat (wd:Q6434328): Divisional Secretariat in Western Province, Sri Lanka
10. Jay Chou 2007 World Tour Concert Live (wd:Q1100149): live album

[Tool]
Got 2 rows and 1 column:
| song                                |
| ----------------------------------- |
| Say Love You (wd:Q114406775)        |
| The Spirit of Knight (wd:Q45261044) |

[Tool]
Top 10 entity alternatives:
1. Jay Chou, also known as President Chou, Zhou Jielun, Chou Chieh-lun (wd:Q238819): Taiwanese pop singer, songwriter, and actor, recording artist, record producer, film director, songwriter, composer, director, rapper, singer, actor
2. Redemption (Jay Rock album) (wd:Q55224911): album by Jay Rock
3. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008
4. Jaya Choudhary (wd:Q88317282): researcher
5. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer, writer
6. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou
7. MTV Unplugged (Jay-Z album) (wd:Q1449420): 2001 live album by Jay-Z with The Roots
8. Jayanta Narayan Choudhury, also known as Jayanto Narayan Choudhury (wd:Q110437452): Indian police officer
9. Choudhury Jayprakash Das, also known as Choudhury Jayaprakash Das, Caudhurī Jaẏaprakāśa Dāsa (wd:Q60511536): Indian actor and academic, film actor, teacher, actor
10. Dilwale Dulhania Le Jayenge, also known as DDLJ (Original Motion Picture Soundtrack), Dilwale Dulhaniya Le Jayenge Soundtrack, Dilwale Dulhaniya Le Jayenge Album, Dilwale Dulhaniya Le Jayenge, Dilwale Dulhania Le Jayenge Soundtrack (wd:Q114096233): 1995 soundtrack album; various artists

[Tool]
Got 7 rows and 1 column:
| song                                 |
| ------------------------------------ |
| Listen to Mom (wd:Q10918532)         |
| Chinese Herbal Manual (wd:Q11093458) |
| Say Love You (wd:Q114406775)         |
| wd:Q18658355                         |
| The Spirit of Knight (wd:Q45261044)  |
| Secret (wd:Q699749)                  |
| Kung Fu Dunk (wd:Q715295)            |

[Tool]
Got 1 row and 3 columns:
| subject                      | property           | object             |
| ---------------------------- | ------------------ | ------------------ |
| Say Love You (wd:Q114406775) | part of (wdt:P361) | Magic (wd:Q702640) |

[Tool]
Got 2 rows and 3 columns:
| subject                             | property           | object             |
| ----------------------------------- | ------------------ | ------------------ |
| The Spirit of Knight (wd:Q45261044) | part of (wdt:P361) | Magic (wd:Q702640) |
| The Spirit of Knight (wd:Q45261044) | part of (wdt:P361) | wd:Q59342163       |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?work ) AS ?count ) WHERE {
  ?work wdt:P50 wd:Q30875 ; wdt:P31 ?type .
  ?type wdt:P279 * wd:Q7725634 .
  FILTER ( ?work != wd:Q82464 )
}

I found that Oscar Wilde (wd:Q30875) is the author of The Picture of Dorian Gray (wd:Q82464). Counting all distinct literary works (instances of or subclasses of “literary work”) by him, excluding The Picture of Dorian Gray itself, gives 131. Here is the SPARQL query I used:

```
SELECT (COUNT(DISTINCT ?work) AS ?count) WHERE {
  ?work wdt:P50 wd:Q30875 ;
        wdt:P31 ?type .
  ?type wdt:P279* wd:Q7725634 .
  FILTER(?work != wd:Q82464)
}
```

Answer: 131.

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

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

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

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

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

[User] How many literary works besides The Picture of Dorian Gray did its author write?

[Tool]
Top 10 entity alternatives:
1. The Picture of Dorian Gray, also known as El retrato de Dorian Gray, Picture of Dorian Gray (wd:Q82464): 1890–1891 novel by Oscar Wilde
2. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q1167299): 1945 film by Albert Lewin
3. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q7757057): 1916 film directed by Fred W. Durrant
4. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q16979666): 1913 film by Phillips Smalley
5. The Picture of Dorian Gray (wd:Q1397330): telenovela
6. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q7757058): 1917 film by Richard Oswald
7. The Picture of Dorian Gray, also known as Dorian Grays Portræt, Picture of Dorian Gray (wd:Q15177406): 1910 film by Axel Strøm
8. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q1167302): 1976 television film
9. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q17044933): 1915 film directed by Eugene Moore
10. The Picture of Dorian Gray, also known as Picture of Dorian Gray (wd:Q7757059): 1918 Hungarian silent film by Alfréd Deésy

[Tool]
Top 10 entity alternatives:
1. literary work, also known as work in literature, work (literature), work (literary), literary text (wd:Q7725634): written work read for enjoyment or edification
2. DARK HORSE by Michèle Betty, also known as Literary work (wd:Q125465635): Book by Michèle Betty
3. Dura-Europos archival photograph of back of P. CtYBR inv. DP 111, also known as Literary work (wd:Q119126424): archival photograph of back of p. ctybr inv. dp 111 from dura-europos
4. Dura-Europos archival photograph of front of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126432): archival photograph of front of p. ctybr inv. dp 92 from dura-europos
5. Dura-Europos archival photograph of front of P. CtYBR inv. DP 89, also known as Literary work (wd:Q119126448): archival photograph of front of p. ctybr inv. dp 89 from dura-europos
6. Dura-Europos archival photograph of front of P. CtYBR inv. DP 87, also known as Literary work (wd:Q119126454): archival photograph of front of p. ctybr inv. dp 87 from dura-europos
7. Dura-Europos archival photograph of front of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126503): archival photograph of front of p. ctybr inv. dp 64 from dura-europos
8. Dura-Europos archival photograph of back of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126501): archival photograph of back of p. ctybr inv. dp 64 from dura-europos
9. Dura-Europos archival photograph of back of P. CtYBR inv. DP 44, also known as Literary work (wd:Q119126531): archival photograph of back of p. ctybr inv. dp 44 from dura-europos
10. Dura-Europos archival photograph of back of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126431): archival photograph of back of p. ctybr inv. dp 92 from dura-europos

[Tool]
Got 1 row and 1 column:
| author                  |
| ----------------------- |
| Oscar Wilde (wd:Q30875) |

[Tool]
Got 1 row and 1 column:
| count         |
| ------------- |
| 131 (xsd:int) |

[Assistant]
I found that Oscar Wilde (wd:Q30875) is the author of The Picture of Dorian Gray (wd:Q82464). Counting all distinct literary works (instances of or subclasses of “literary work”) by him, excluding The Picture of Dorian Gray itself, gives 131. Here is the SPARQL query I used:

```
SELECT (COUNT(DISTINCT ?work) AS ?count) WHERE {
  ?work wdt:P50 wd:Q30875 ;
        wdt:P31 ?type .
  ?type wdt:P279* wd:Q7725634 .
  FILTER(?work != wd:Q82464)
}
```

Answer: 131.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q42053 wdt:P31 wd:Q1549591 .
}

Yes, Isfahan is a big city.

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

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

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

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

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

[User] is Isfahan a big city?

[Tool]
Top 10 entity alternatives:
1. big city, also known as city 100000+ (wd:Q1549591): city with a population of at least 100,000
2. Big City (wd:Q2754892): 1937 film by Frank Borzage, George B. Seitz
3. The Big City, also known as Big City (wd:Q3822606): 1928 film by Tod Browning
4. Big City (wd:Q16841683): 1948 film by Norman Taurog
5. Big City (wd:Q2902182): 2007 film directed by Djamel Bensalah
6. Big City (wd:Q124617437): 1972 Senegalese film
7. Big City (wd:Q4905452): album by Merle Haggard
8. Big City (wd:Q97159712): 2011 EP by Thou
9. Big City (wd:Q56404867): Norwegian songwriting company
10. Big City (wd:Q54585787): single of  Tol Hansse

[Tool]
Top 10 entity alternatives:
1. Isfahan, also known as Spahān, Spahan, Sepahan, Ispahān, Ispahân (wd:Q42053): city in Isfahan Province, Iran
2. Isfahan (wd:Q21998562): 1967 jazz song by Duke Ellington
3. Isfahan (wd:Q103936201): encyclopedia article
4. Isfahan Province, also known as Esfahan Province (wd:Q1367759): province of Iran
5. Isfahan County (wd:Q1282082): county in Isfahan Province, Iran
6. Isfahan International Airport, also known as IFN, IFN Airport, Isfahan Airport, OIFM, Shahid Beheshti Airport (wd:Q1151889): International Airport in Isfahan, Iran
7. Baharestan, also known as Baharestan, Isfahan (wd:Q430773): city in Isfahan Province, Iran
8. Isfahan Metro (wd:Q5963929): rapid transit system in Isfahan, Iran
9. Dowlatabad, also known as Shapurabad, Dowlatabad, Isfahan, Dowlatabad, Borkhar, Dowlatābād, Daulatābād (wd:Q2616779): city in Isfahan Province, Iran
10. Isfahan Grand Bazaar, also known as Isfahan Bazaar, Grand Bazaar of Isfahan, Grand Bazaar, Isfahan, Bazaar of Isfahan (wd:Q2754230): bazaar in Isfahan, Iran

[Tool]
Got 568 rows and 3 columns, showing the first 10 rows below:
| subject                | property                               | object                                                                    |
| ---------------------- | -------------------------------------- | ------------------------------------------------------------------------- |
| big city (wd:Q1549591) | instance of (wdt:P31)                  | classification of human settlements (wd:Q98966309)                        |
| big city (wd:Q1549591) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Pudong%20Shangai.jpg> |
| big city (wd:Q1549591) | subclass of (wdt:P279)                 | city (wd:Q515)                                                            |
| big city (wd:Q1549591) | different from (wdt:P1889)             | city (wd:Q515)                                                            |
| big city (wd:Q1549591) | topic's main category (wdt:P910)       | wd:Q9823231                                                               |
| big city (wd:Q1549591) | has characteristic (wdt:P1552)         | minimum population (wd:Q51706937)                                         |
| big city (wd:Q1549591) | properties for this type (wdt:P1963)   | population (wd:P1082)                                                     |
| big city (wd:Q1549591) | next higher rank (wdt:P3730)           | large city (wd:Q129676344)                                                |
| big city (wd:Q1549591) | next lower rank (wdt:P3729)            | average city (wd:Q896881)                                                 |
| big city (wd:Q1549591) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/120xnzm8>                                               |
| ...                    | ...                                    | ...                                                                       |

[Tool]
Got 5 rows and 1 column:
| type                        |
| --------------------------- |
| big city (wd:Q1549591)      |
| metropolis (wd:Q200250)     |
| global city (wd:Q208511)    |
| largest city (wd:Q51929311) |
| city of Iran (wd:Q56557504) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?work ?workLabel WHERE {
  wd:Q312101 wdt:P800 ?work .
  FILTER ( ?work != wd:Q11835640 ) .
  OPTIONAL {
    ?work rdfs:label ?workLabel FILTER ( LANG( ?workLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| work                                   | workLabel                     |
| -------------------------------------- | ----------------------------- |
| Time of Contempt (wd:Q2045474)         | Time of Contempt (en)         |
| The Last Wish (wd:Q2414756)            | The Last Wish (en)            |
| The Tower of the Swallow (wd:Q4080260) | The Tower of the Swallow (en) |
| Lady of the Lake (wd:Q4113386)         | Lady of the Lake (en)         |
| Baptism of Fire (wd:Q4240572)          | Baptism of Fire (en)          |

The author’s notable works, excluding the Witcher series, are:

• Time of Contempt
• The Last Wish
• The Tower of the Swallow
• Lady of the Lake
• Baptism of Fire

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

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

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

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

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

[User] Apart from the book series the witcher, name all of the author’s notable work.

[Tool]
Top 10 entity alternatives:
1. The Aisling Series, also known as Aisling Book Series, 'Aisling' Series, OMGWACA, The 'Aisling' book series, Aisling (wd:Q124535128): series of novels by Emer McLysaght and Sarah Breen
2. The Open Book Series (wd:Q96737433): US scientific journal
3. Urban Book Series, also known as The urban book series (wd:Q96334730)
4. The Selection, also known as The Selection series, book 1 (wd:Q3662846): speculative fiction novel for young adults, 2012, first in the Selection series
5. The Elite, also known as the Selection series, book 2 (wd:Q16272349): speculative fiction novel for young adults, 2013
6. My Side of the Mountain, also known as the Mountain series, book 1 (wd:Q3801260): American children's novel, 1959
7. The Witcher (polish comic book) (wd:Q9372680): 1993–1995 Polish comic books series
8. The Heir, also known as the Selection series, book 4 (wd:Q20856923): speculative fiction novel for young adults, 2015
9. Best essay (book series), also known as The Best Essay (book series) (wd:Q120629279): Book series in Japanese. Nihon Bungeika Kyokai
10. Malazan Book of the Fallen, also known as The Malazan Book of the Fallen series (wd:Q458982): novel series by Steven Erikson

[Tool]
Top 10 entity alternatives:
1. Ep 442 - The Last Wish (Introduc...e Witcher), by Andrzej Sapkowski (wd:Q116787375): Overdue podcast episode
2. Andrzej Sapkowski (wd:Q312101): Polish novelist, translator, writer
3. The Witcher, also known as The Witcher saga (wd:Q11835640): series of fantasy novels and short stories by Polish writer Andrzej Sapkowski
4. The Witcher (wd:Q47500433): 2019 fantasy drama television series
5. The Witcher (wd:Q287637): 2007 video game
6. The Witcher (wd:Q18935909): video game series by CD Projekt RED
7. The Hexer, also known as The Witcher (wd:Q1979337): 2002 fantasy television series
8. The Witcher, also known as Spellmaker (wd:Q9372681): short story by Andrzej Sapkowski
9. The Witcher (wd:Q11798735): short story collection by Andrzej Sapkowski
10. The Witcher, also known as The Witcher (remake) (wd:Q117083359): remake of the original 2007 'The Witcher' game

[Tool]
Got 6 rows and 2 columns:
| work                                   | workLabel                     |
| -------------------------------------- | ----------------------------- |
| The Witcher (wd:Q11835640)             | The Witcher (en)              |
| Time of Contempt (wd:Q2045474)         | Time of Contempt (en)         |
| The Last Wish (wd:Q2414756)            | The Last Wish (en)            |
| The Tower of the Swallow (wd:Q4080260) | The Tower of the Swallow (en) |
| Lady of the Lake (wd:Q4113386)         | Lady of the Lake (en)         |
| Baptism of Fire (wd:Q4240572)          | Baptism of Fire (en)          |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P166 wd:Q17985761 ; wdt:P172 wd:Q49085 .
}

There are 102 African-American individuals who have received a star on the Hollywood Walk of Fame.

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

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

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

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

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

[User] How many african-american people got a star on the Hollywood Walk of Fame?

[Tool]
Top 10 entity alternatives:
1. Hollywood Walk of Fame, also known as Walk of Fame (wd:Q71719): more than 2,700 five-pointed terrazzo and brass stars embedded i...ulevard and three blocks of Vine Street in Hollywood, California
2. star on Hollywood Walk of Fame, also known as Hollywood Walk of Fame star (wd:Q17985761): award in the Hollywood Walk of Fame, Hollywood, California, United States
3. Hollywood's Rock Walk of Fame (wd:Q3139400)
4. Walk of Fame (wd:Q48673901): 2017 film by Jesse Thomas
5. Walk of Fame (wd:Q51084447): street in Saint Petersburg, Russia
6. Starr gets star; Ringo added to Hollywood Walk of Fame (wd:Q18021457): Wikinews article
7. Walk of Fame (wd:Q7962075): memorial for famous dogs in Battersea Park, London, England, UK
8. walk of fame (wd:Q47502370): sidewalk or similar construction that commemorates outstanding individuals in a particular group
9. Walk of Fame (wd:Q114476628): episode of Cupcake Wars (S2 E11)
10. Walk of Fame, also known as Wigan's Walk of Fame, Believe Square (wd:Q121879112): public walkway in Wigan, England

[Tool]
Top 10 entity alternatives:
1. African Americans, also known as Black or African American, African-American, Black Americans and Afro-Americans, Black Americans, African American people (wd:Q49085): Americans with sub-Saharan African ancestry
2. Textbooks > Fiction & Literature > African American, also known as African American, Textbooks - Fiction & Literature - African American (wd:Q110593688): iTunes Textbooks genre
3. African American (wd:L983173-S1)
4. African American (wd:L983172-S1)
5. slavery in the United States, also known as African American slavery, American slavery, slavery in the United States of America, slavery (United States), slavery (United States of America) (wd:Q118382): form of slave labor which existed as a legal institution from the early years of the United States
6. African-American music, also known as African American music, Afro-American music, Black American music, Black music (wd:Q388207): musical traditions of African American people
7. African American literature, also known as African-American literature, Afro-American literature, Black literature, Negro literature (wd:Q388170): body of literature by Americans of African descent
8. Hoodoo, also known as African American Hoodoo (wd:Q1546302): spiritual practices, traditions and beliefs
9. African American history, also known as African-American history, Afro-American history, Black American history, history of African Americans, history of African-Americans (wd:Q162881): black American history
10. African American studies, also known as African American and Diaspora Studies, African-American/Black studies, African-Americanology, African-American studies, Black studies (wd:Q383968): academic field focusing on peoples of the African diaspora and Africa

[Tool]
Got 10 rows and 1 column:
| person                       |
| ---------------------------- |
| Halle Berry (wd:Q1033016)    |
| Sidney Poitier (wd:Q104049)  |
| Billie Holiday (wd:Q104358)  |
| Herbie Hancock (wd:Q105875)  |
| Charley Pride (wd:Q1066772)  |
| Count Basie (wd:Q107008)     |
| Thelonious Monk (wd:Q109612) |
| Queen Latifah (wd:Q1112005)  |
| Lena Horne (wd:Q112307)      |
| Aretha Franklin (wd:Q125121) |

[Tool]
Got 1 row and 1 column:
| count         |
| ------------- |
| 102 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q163310 wdt:P61 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel .
    FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| creator                | creatorLabel     |
| ---------------------- | ---------------- |
| Alan Turing (wd:Q7251) | Alan Turing (en) |

The Turing machine was created by Alan Turing (wd:Q7251).

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

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

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

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

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

[User] Who created the Turing machine?

[Tool]
Top 10 entity alternatives:
1. Turing machine, also known as deterministic Turing machine (wd:Q163310): abstract computation model; mathematical model of computation th...pulates symbols on a strip of tape according to a table of rules
2. Turing Machine (wd:Q7854958): band
3. Turing Machine (wd:Q118469770): Greek theatrical performance at the New Theatre of Katerina Vassilakou, Athens, 2022/3
4. Turing Machine (wd:Q116450980): 2022 board game
5. non-deterministic Turing machine, also known as nondeterministic Turing machine, NTM (wd:Q1190223): may have a set of rules that prescribes more than one action for...t actions may apply for the same combination of state and symbol
6. universal Turing machine, also known as UCM, Universal Computing Machine, UTM (wd:Q2703890): turing machine that can simulate an arbitrary Turing machine on ...e to be simulated as well as the input thereof from its own tape
7. probabilistic Turing machine (wd:Q1191836): non-deterministic Turing machine which chooses between the avail...sitions at each point according to some probability distribution
8. quantum Turing machine (wd:Q765620): model of quantum computation
9. Alternating Turing machine, also known as Alternating Turing Machine, ATM (wd:Q438833): abstract computation model
10. neural Turing machine (wd:Q25325414): neural network with external memory

[Tool]
Got 1 row and 3 columns:
| subject                     | property                         | object                 |
| --------------------------- | -------------------------------- | ---------------------- |
| Turing machine (wd:Q163310) | discoverer or inventor (wdt:P61) | Alan Turing (wd:Q7251) |

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?inceptionDate WHERE {
  wd:Q523286 wdt:P571 ?inceptionDate .
}

Hambach Castle was built (incepted) in the year 1100 (inception date: 1100-01-01T00:00:00Z).

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

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

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

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

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

[User] When was the Hambach Castle built?

[Tool]
Top 10 entity alternatives:
1. Hambach Castle (wd:Q523286): castle near the urban district Hambach of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany
2. castle (wd:Q23413): type of fortified structure built in Europe, Asia and the Middle East during the Middle Ages by nobility
3. rook, also known as marquess, tower, Rook (chess), rector, R (wd:Q137): piece from the board game chess
4. castling, also known as castle (wd:Q102877): chess move in which the king moves 2 squares toward a rook, while the rook moves to the square passed over by the king
5. Castle (wd:Q386880): American police procedural comedy-drama television series (2009-2016)
6. Hambach (wd:Q22391): commune in Moselle, France
7. château, also known as castle, chateau, landschloss (wd:Q751876): type of manor house mostly built by noble families for representative purposes
8. Hambach, also known as Hambach (Diez) (wd:Q566907): municipality of Germany
9. Castle, also known as Castle, OK (wd:Q3287085): town in Okfuskee County, Oklahoma, United States
10. Peveril Castle, also known as Peak Castle, Peveril Castle eleventh to fourteenth century tower keep castle, Castleton Castle (wd:Q255574): castle in Castleton, Derbyshire, England, UK

[Tool]
Got 1 row and 2 columns:
| inception                           | inceptionLabel |
| ----------------------------------- | -------------- |
| 1100-01-01T00:00:00Z (xsd:dateTime) |                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?festival ?label ?inception WHERE {
  ?festival wdt:P31 wd:Q220505 ; wdt:P571 ?inception .
  OPTIONAL {
    ?festival rdfs:label ?label .
    FILTER ( LANG( ?label ) = "en" )
  }
}
ORDER BY ?inception
LIMIT 1

The oldest film festival is the Venice Film Festival (wd:Q49024), which was first held in 1932.

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

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

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

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

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

[User] what is the oldest film festival?

[Tool]
Top 10 entity alternatives:
1. film festival, also known as motion picture festival, movie festival (wd:Q220505): dedicated event to screen films
2. Filmworks Film Festival (wd:Q125606262)
3. Filmworks Film Festival (wd:Q125735665)
4. Filmshift Film Festival (wd:Q125712688)
5. Filmstock Film Festival (wd:Q125713127)
6. Filmstock Film Festival (wd:Q14681975): annual film festival held in Arizona, New Mexico, Colorado and Utah, USA
7. film festival (wd:L745705-S1)
8. Cannes Film Festival, also known as Cannes International Film Festival, Festival de Cannes (wd:Q42369): annual film festival held in Cannes, France
9. Berlin International Film Festival, also known as Internationale Filmfestspiele Berlin, Berlin Film Festival, Berlinale, Berlin Festival (wd:Q130871): annual film festival held in Berlin, Germany
10. Venice Film Festival, also known as Venice International Film Festival (wd:Q49024): annual film festival held in Venice, Italy

[Tool]
Got 401 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                         | object                                                                                |
| -------------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Venice Film Festival (wd:Q49024) | instance of (wdt:P31)            | film festival (wd:Q220505)                                                                                |
| Venice Film Festival (wd:Q49024) | country (wdt:P17)                | Italy (wd:Q38)                                                                                |
| Venice Film Festival (wd:Q49024) | coordinate location (wdt:P625)   | POINT(12.367290 45.405975) (geo:wktLiteral)                                                                                |
| Venice Film Festival (wd:Q49024) | Commons category (wdt:P373)      | Venice Film Festival                                                                                |
| Venice Film Festival (wd:Q49024) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Mostra%20Internazionale%20d%E2%80%99Arte%20Cinematografica%20%28Venezia%29%20%284979198162%29.jpg> |
| Venice Film Festival (wd:Q49024) | location (wdt:P276)              | Venice (wd:Q641)                                                                                |
| Venice Film Festival (wd:Q49024) | inception (wdt:P571)             | 1932-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Venice Film Festival (wd:Q49024) | official name (wdt:P1448)        | Mostra Internazionale d'Arte Cin...rafica della Biennale di Venezia (it)                                                                               |
| Venice Film Festival (wd:Q49024) | official website (wdt:P856)      | <https://www.labiennale.org/en/cinema/>                                                                                |
| Venice Film Festival (wd:Q49024) | topic's main category (wdt:P910) | wd:Q6394637                                                                                |
| ...                              | ...                              | ...                                                                                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?title ?titleLabel WHERE {
  wd:Q7259 wdt:P97 ?title .
  OPTIONAL {
    ?title rdfs:label ?titleLabel .
    FILTER ( LANG( ?titleLabel ) = "en" )
  }
}

Ada Lovelace’s noble title was countess (wd:Q5177051).

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

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

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

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

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

[User] What was Ada Lovelace’s noble title?

[Tool]
Top 10 entity alternatives:
1. Ada, also known as Augusta Ada King Countess of Lovelace, Augusta Ada King-Noel, Countess of Lovelace, Augusta Ada King, Countess of Lovelace, Augusta Ada King, Lady Ada (wd:Q7259): English mathematician (1815–1852), English matematican, computer scientist, mathematician, programmer, translator, engineer, inventor, writer, poet
2. Ada Lovelace, also known as Augusta Ada King, Countess of Lovelace, Augusta Ada King-Noel, Countess of Lovelace, Augusta Ada King Countess of Lovelace, Lady Ada, Lovelace, Ada (wd:Q7259): English mathematician (1815–1852), English matematican, computer scientist, mathematician, translator, programmer, inventor, engineer, writer, poet
3. Ada Lovelace (wd:Q114068528): GPU microarchitecture designed by Nvidia
4. Ada Lovelace (wd:Q87282992): episode of In Our Time
5. Ada Lovelace Day (wd:Q115052486): 2nd Tuesday in October celebrating women in STEM
6. Ada Lovelace Day (wd:Q115052486): 2nd Tuesday in October celebrating women in STEM
7. Ada Lovelace Award (wd:Q30128828): award for women in computing
8. mail Ada Lovelace (wd:Q100740077): street of Saint-Denis, in Seine-Saint-Denis, France
9. Place Ada Lovelace (wd:Q124088750): public square at the EPFL, Ecublens, Switzerland
10. impasse Ada Lovelace (wd:Q125549094)

[Tool]
Top 10 property alternatives:
1. noble title, also known as hereditary title, nobility title, peerage, royal and noble ranks, royal title (wd:P97 as p/wdt): titles held by the person
2. honorific prefix, also known as called, style prefix, referred to as, pre-nominal, honorific title (wd:P511 as p/wdt): word or expression used before a name, in addressing or referring to a person
3. The Peerage person ID, also known as Peerage person ID, thepeerage, TP id (wd:P4638 as p/wdt): identifier for a person on The Peerage genealogical website
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as p/wdt): person who has taught this person, significant person
6. DUC ID, also known as Le Dictionnaire universel des Créatrices ID (wd:P7578 as p/wdt): identifier for a noted woman on the online version of Le Diction...l des Créatrices (English: The Universal Dictionary of Creators)
7. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
8. social classification, also known as social class, social status (wd:P3716 as p/wdt): social class as recognized in traditional or state law
9. name in native language, also known as native name (wd:P1559 as p/wdt): name of a person in their native language, name
10. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as p/wdt): person linked to the item in any possible way

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                 | property              | object                 |
| ----------------------- | --------------------- | ---------------------- |
| Ada Lovelace (wd:Q7259) | noble title (wdt:P97) | countess (wd:Q5177051) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?prize ) AS ?count ) WHERE {
  wd:Q7191 wdt:P527 ?prize .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 5 (xsd:int) |

There are 5 prizes established by Alfred Nobel.

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

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

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

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

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

[User] How many prizes are there established by Alfred Nobel ?

[Tool]
Top 10 entity alternatives:
1. Nobel Prize, also known as Nobel (wd:Q7191): set of annual international awards, primarily 5 established in 1895 by Alfred Nobel
2. Nobel prize (wd:Q68617247): scientific article published on 01 October 1970
3. Nobel prize (wd:Q68632222): scientific article published on 01 October 1971
4. Nobel Prize (wd:Q56550587): scientific article published in the British Medical Journal
5. Nobel Prize (wd:Q68562111): scientific article published on 01 October 1966
6. Nobel Prize (wd:Q84949135): scientific article published on 01 October 1964
7. Nobel Prize (wd:Q93856116)
8. Nobel Prize (wd:Q93924922): scientific article published in October 1960
9. NOBEL PRIZE (wd:Q81850411): scientific article published on 01 December 1912
10. Nobel Prize (wd:L1244268-S3)

[Tool]
Got 1,064 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                         | object                                                                                |
| ---------------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| Nobel Prize in Physics (wd:Q38104) | instance of (wdt:P31)            | physics award (wd:Q107494520)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | country (wdt:P17)                | Sweden (wd:Q34)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | Commons category (wdt:P373)      | Nobel Prize in Physics                                                                                |
| Nobel Prize in Physics (wd:Q38104) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Marie%20and%20Pierre%20Curie%27s%20Nobel%20Prize%20in%20Physics%201903.jpg> |
| Nobel Prize in Physics (wd:Q38104) | part of (wdt:P361)               | Nobel Prize (wd:Q7191)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | subclass of (wdt:P279)           | Nobel Prize (wd:Q7191)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | location (wdt:P276)              | Stockholm (wd:Q1754)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | inception (wdt:P571)             | 1901-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Nobel Prize in Physics (wd:Q38104) | official website (wdt:P856)      | <http://nobelprize.org/>                                                                                |
| Nobel Prize in Physics (wd:Q38104) | topic's main category (wdt:P910) | wd:Q31318214                                                                                |
| ...                                | ...                              | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
6. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
7. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
8. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
9. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
10. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person

No other items found

[Tool]
Top 10 entity alternatives:
1. Alfred Nobel, also known as Alfred Bernhard Nobel, Nobel, Alfred B. Nobel (wd:Q23810): Swedish chemist and inventor (1833–1896), weapons manufacturer, philanthropist, industrialist, photographer, scientist, inventor, engineer, chemist
2. Alfred Nobel (wd:Q18236602): Irish horse
3. Alfred Nobel (wd:Q4992600): Wikimedia duplicated page, scientist
4. Alfred Nobel (wd:Q2047706): train service
5. Alfred nobel (wd:Q82943104): scientific article published on 01 October 1996
6. Alfred Nobel (wd:Q123948893): street in Sofia, Bulgaria
7. Alfred Nobel. (wd:Q55480875): scientific article published in January 1959
8. Alfred Nobel (wd:Q59017243): scientific article published in Nature
9. Alfred Nobel (wd:Q127414859): railway underpass in Helmond, the Netherlands
10. Alfred Nobel (wd:Q124728259): painting by Emil Österman

[Tool]
Got 975 rows and 3 columns, showing the first 10 rows below:
| subject                | property                        | object                                                                                |
| ---------------------- | ------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |
| Nobel Prize (wd:Q7191) | instance of (wdt:P31)           | award (wd:Q618779)                                                                                |
| Nobel Prize (wd:Q7191) | country (wdt:P17)               | Norway (wd:Q20)                                                                                |
| Nobel Prize (wd:Q7191) | Commons category (wdt:P373)     | Nobel Prize                                                                                |
| Nobel Prize (wd:Q7191) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Marie%20Sk%C5%82odowska-Curie%27s%20Nobel%20Prize%20in%20Chemistry%201911.jpg> |
| Nobel Prize (wd:Q7191) | subclass of (wdt:P279)          | prize (wd:Q5257307)                                                                                |
| Nobel Prize (wd:Q7191) | location (wdt:P276)             | Stockholm (wd:Q1754)                                                                                |
| Nobel Prize (wd:Q7191) | inception (wdt:P571)            | 1901-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527)          | Nobel Prize in Literature (wd:Q37922)                                                                                |
| Nobel Prize (wd:Q7191) | described by source (wdt:P1343) | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                                                           |
| Nobel Prize (wd:Q7191) | official website (wdt:P856)     | <https://www.nobelprize.org/>                                                                                |
| ...                    | ...                             | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool]
Got 5 rows and 3 columns:
| subject                | property               | object                                            |
| ---------------------- | ---------------------- | ------------------------------------------------- |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527) | Nobel Prize in Literature (wd:Q37922)             |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527) | Nobel Peace Prize (wd:Q35637)                     |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527) | Nobel Prize in Physics (wd:Q38104)                |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527) | Nobel Prize in Chemistry (wd:Q44585)              |
| Nobel Prize (wd:Q7191) | has part(s) (wdt:P527) | Nobel Prize in Physiology or Medicine (wd:Q80061) |

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): notable scientific, artistic or literary work, or other work of significance among subject's works
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): time when an entity begins to exist; for date of official opening use P1619, start time
3. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): founder or co-founder of this organization, religion, place or entity, creator
4. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): location where a group or organization was formed, location of creation
5. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date or point in time on which a piece or class of equipment entered operational service, start time
6. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date or point in time when the item was discovered or invented
7. discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory
8. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): text through which an institution or object has been created or established
9. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date when company, organization or city was incorporated
10. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, name

[Tool]
Top 10 entity alternatives:
1. award, also known as honour, prize, medal, honor, Awards and Prizes (wd:Q618779): something given to a person or a group of people to recognize their merit or excellence
2. prize (wd:Q5257307): award to be given to a person, a group of people, or an organization to recognise and reward actions or achievements
3. The Prize, also known as Prize (wd:Q751341): 1963 film by Mark Robson
4. prize (wd:Q1967845): term used in admiralty law, equipment, vehicle, boat or vessel captured during a military conflict
5. The Prize, also known as El premio, Prize (wd:Q1324517): 2011 film by Paula Markovitch
6. Prize (wd:Q15700638): marketing concept
7. Madame Husson's Rose, also known as Prize, The Prize (wd:Q3226661): 1950 film by Jean Boyer
8. The Prize, also known as Il Premio, Prize (wd:Q55646353): 2017 film directed by Alessandro Gassmann
9. The Prize, also known as Prize (wd:Q10695755): 1986 film
10. Prize (wd:Q111168620): 1999 studio album by Arto Lindsay

[Tool]
Got 1 row and 3 columns:
| subject                | property              | object                   |
| ---------------------- | --------------------- | ------------------------ |
| Nobel Prize (wd:Q7191) | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |

[Tool] Got no rows and 3 columns

[Tool]
Got 6 rows and 3 columns:
| subject                             | property              | object                   |
| ----------------------------------- | --------------------- | ------------------------ |
| Nobel Prize (wd:Q7191)              | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |
| Branobel (wd:Q2306052)              | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |
| Dynamit Nobel (wd:Q872866)          | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |
| Dynamitfabrik Krümmel (wd:Q1269035) | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |
| Nobel Enterprises (wd:Q7045628)     | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |
| wd:Q114358385                       | founded by (wdt:P112) | Alfred Nobel (wd:Q23810) |

[Tool] Stopped generation process