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 ?song ?songLabel WHERE {
  ?song wdt:P361 wd:Q828282 .
  OPTIONAL {
    ?song rdfs:label ?songLabel FILTER ( LANG( ?songLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| song                              | songLabel                |
| --------------------------------- | ------------------------ |
| La Tortura (wd:Q1784211)          | La Tortura (en)          |
| Las de la Intuición (wd:Q2265331) | Las de la Intuición (en) |
| La pared (wd:Q2713486)            | La pared (en)            |
| No (wd:Q3040253)                  | No (en)                  |
| Día Especial (wd:Q3045530)        | Día Especial (en)        |
| Día de Enero (wd:Q576798)         | Día de Enero (en)        |
| Día de Enero (wd:Q62063330)       | Día de Enero (en)        |
| Obtener un sí (wd:Q9051589)       | Obtener un sí (en)       |

The album Fijación Oral vol. 1 consists of 8 songs: La Tortura, Las de la Intuición, La pared, No, Día Especial, Día de Enero (two different entities with the same name), and Obtener un sí. There are two entries for "Día de Enero" with different QIDs, which might represent different versions or duplicates, but both are listed as part of the album.

[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] Which songs made up the album Fijación Oral vol. 1 ?

[Assistant] To answer the question about which songs made up the album "Fijación Oral vol. 1," I will first search for the entity corresponding to this album in Wikidata. Then, I will look for the property that links this album to its songs (tracklist).

[Tool]
Top 10 entity alternatives:
1. Fijación Oral, Vol. 1, also known as Fijación Oral – vol. 1, Fijación Oral (Vol. 1), Fijación Oral Vol. 1 (wd:Q828282): 2005 studio album by Shakira
2. Oral Fixation Volumes 1 & 2, also known as Oral Fixation, Vols. 1-2 (wd:Q3278323): 2006 compilation box set by Shakira
3. Vol. 1 (wd:Q3284180): album by Hurt
4. 15 Vol. 1 (wd:Q9955140): 1997 compilation album by Arakain
5. Vol. 1, also known as Volume 1 (wd:Q2844005): 1965 debut studio album by Robert Charlebois
6. Vol. 1 (wd:Q96414091)
7. Vol. 1 (wd:Q9369071): 2008 studio album by Grzybowski Band
8. Vol. 1 (wd:Q7939947): album by We Are The Becoming
9. Vol. 1 (wd:Q7939946): 1999 extended play by Breed 77
10. Vol. 1 (wd:Q65054996): album by Samae Koskinen

[Assistant] The album "Fijación Oral vol. 1" corresponds to the Wikidata entity wd:Q828282. Next, I will look for the property that links this album to its songs or tracklist. Typically, the property for "tracklist" or "has part" might be used. I will check the properties of this album entity to find the relevant property.

[Tool]
Got 201 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                            | object                              |
| ---------------------------------- | ----------------------------------- | ----------------------------------- |
| Fijación Oral, Vol. 1 (wd:Q828282) | instance of (wdt:P31)               | album (wd:Q482994)                  |
| Fijación Oral, Vol. 1 (wd:Q828282) | title (wdt:P1476)                   | Fijación Oral, Vol. 1 (es)          |
| Fijación Oral, Vol. 1 (wd:Q828282) | publication date (wdt:P577)         | 2005-06-06T00:00:00Z (xsd:dateTime) |
| Fijación Oral, Vol. 1 (wd:Q828282) | language of work or name (wdt:P407) | multiple languages (wd:Q20923490)   |
| Fijación Oral, Vol. 1 (wd:Q828282) | part of (wdt:P361)                  | wd:Q65516009                        |
| Fijación Oral, Vol. 1 (wd:Q828282) | genre (wdt:P136)                    | Latin rock (wd:Q185162)             |
| Fijación Oral, Vol. 1 (wd:Q828282) | different from (wdt:P1889)          | wd:Q8961651                         |
| Fijación Oral, Vol. 1 (wd:Q828282) | place of publication (wdt:P291)     | United States (wd:Q30)              |
| Fijación Oral, Vol. 1 (wd:Q828282) | performer (wdt:P175)                | Shakira (wd:Q34424)                 |
| Fijación Oral, Vol. 1 (wd:Q828282) | form of creative work (wdt:P7937)   | studio album (wd:Q208569)           |
| ...                                | ...                                 | ...                                 |

[Assistant] The property "part of" (wdt:P361) is present but it indicates the album is part of something else, not the songs it contains. I will now check if there is a property like "tracklist" or "has part" that links the album to its songs. I will specifically search for properties related to "track" or "song" for this album.

[Tool]
Top 10 property alternatives:
1. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as p/wdt): the number of parts that a work comprises
2. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
7. 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)
8. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. review score, also known as rating (score), review rating (wd:P444 as p/wdt): review score received by a creative work or other entity

No other items found

[Assistant] The search for a property related to "track" or "song" for the album "Fijación Oral vol. 1" did not return a direct property linking the album to its songs. I will try a more general approach and look for properties related to "has part" or "contains" to see if the album has parts that are songs.

[Tool]
Top 10 property alternatives:
1. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as p/wdt): the number of parts that a work comprises
3. 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)
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
6. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as p/wdt): structure of a creative work
7. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
8. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
9. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
10. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject

No other items found

[Assistant] The property "has part" (wdt:P527) is mentioned in the description of "part of" (wdt:P361) but it is not directly listed for the album entity. I will explicitly check if the album has any "has part" (wdt:P527) statements to find its songs.

[Tool] Got no rows and 3 columns

[Assistant] The album "Fijación Oral vol. 1" does not have direct "has part" (wdt:P527) statements linking it to its songs in Wikidata. I will try another approach by searching for songs that have this album as their album or part of property. This means I will look for songs that are linked to this album as their album. The property for "album" in Wikidata is usually "album" (wdt:P361) or "part of" (wdt:P361). I will search for entities that have "part of" (wdt:P361) the album wd:Q828282.

[Tool]
Got 8 rows and 3 columns:
| subject                           | property           | object                             |
| --------------------------------- | ------------------ | ---------------------------------- |
| La Tortura (wd:Q1784211)          | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| Las de la Intuición (wd:Q2265331) | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| No (wd:Q3040253)                  | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| Día de Enero (wd:Q576798)         | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| Día Especial (wd:Q3045530)        | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| La pared (wd:Q2713486)            | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| Obtener un sí (wd:Q9051589)       | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |
| Día de Enero (wd:Q62063330)       | part of (wdt:P361) | Fijación Oral, Vol. 1 (wd:Q828282) |

[Assistant] I found 8 songs that have the album "Fijación Oral vol. 1" (wd:Q828282) as their part of (wdt:P361) property. These songs are: La Tortura, Las de la Intuición, No, Día de Enero, Día Especial, La pared, Obtener un sí, and another entity also named Día de Enero. I will now write a SPARQL query to retrieve these songs along with their labels.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the songs that are part of the album Fijación Oral vol. 1 using the property 'part of' (wdt:P361). The answer lists the songs found in the query result. However, the query result contains two entries for 'Día de Enero' with different QIDs, which might be duplicates or different entities with the same label. It would be good to verify if both are indeed songs on the album or if one should be filtered out. Additionally, the answer could mention the total number of songs found (8) and clarify the potential duplicate. Otherwise, the query and answer are appropriate and complete.

[Assistant] Thank you for the feedback. I will refine the query to include all songs with their labels and QIDs to verify the two entries for "Día de Enero." I will also count the total number of songs and mention the potential duplicate in the answer. This will provide a clearer and more complete response.

[Tool]
Got 8 rows and 2 columns:
| song                              | songLabel                |
| --------------------------------- | ------------------------ |
| La Tortura (wd:Q1784211)          | La Tortura (en)          |
| Las de la Intuición (wd:Q2265331) | Las de la Intuición (en) |
| La pared (wd:Q2713486)            | La pared (en)            |
| No (wd:Q3040253)                  | No (en)                  |
| Día Especial (wd:Q3045530)        | Día Especial (en)        |
| Día de Enero (wd:Q576798)         | Día de Enero (en)        |
| Día de Enero (wd:Q62063330)       | Día de Enero (en)        |
| Obtener un sí (wd:Q9051589)       | Obtener un sí (en)       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all songs that are part of the album Fijación Oral vol. 1 using the property 'part of' (wdt:P361) with the album's Wikidata ID (wd:Q828282). The query also optionally retrieves English labels for the songs, which helps in providing a human-readable answer. The result includes 8 songs, matching the known track list, including the two entries for "Día de Enero" which are distinct entities. The answer is complete and accurate based on the data retrieved. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label WHERE {
  wd:Q3783782 rdfs:label ?label FILTER ( LANG( ?label ) = "ja" )
}

Got 1 row and 1 column:
| label    |
| -------- |
| 林廣守 (ja) |

The native name of the composer of the Japanese national anthem, Hiromori Hayashi, is 林廣守 in Japanese.

[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 native name of the composer of the Japanese national anthem?

[Assistant]
Step 1: Identify the composer of the Japanese national anthem.
The Japanese national anthem is "Kimigayo." I will search for the entity related to the Japanese national anthem to find its composer.

I will start by searching for the Japanese national anthem entity.

[Tool]
Top 10 entity alternatives:
1. national anthem, also known as national hymn, state anthem (wd:Q23691): song that represents a country or sovereign state
2. National Anthem of Chile, also known as Canción Nacional, National Anthem (wd:Q484161): National Anthem of Chile
3. National Anthem (wd:Q2697331): Lana Del Rey song
4. National Anthem (wd:Q116945688): 2023 film directed by Luke Gilford
5. The National Anthem, also known as National Anthem (wd:Q19573235): 1999 film by Wu Ziniu
6. National Anthem (wd:Q16955069): album by The Away Team
7. National Anthem (wd:Q39078564): 2003 film
8. America, also known as National Anthem, National Hymn (wd:Q109781686): melody often used for national anthems; first published in 1744
9. National Anthem (wd:Q110059383): sketch from Saturday Night Live
10. anthem, also known as club anthem, march, national anthem, official hymn, official song (wd:P85): subject's official anthem

[Assistant] The search results did not directly show the Japanese national anthem entity. I will refine the search query to "Kimigayo" which is the name of the Japanese national anthem.

[Tool]
Top 10 entity alternatives:
1. Kimigayo, also known as national anthem of Japan (wd:Q81534): national anthem of Japan
2. Kimigayo (wd:Q130240831): edition in ''The National Anthems of the Allies'' (1917)
3. Kimigayo March, also known as Kimigayo Kōshinkyoku (wd:Q24887361)
4. Kimigayo boy (wd:Q10926866)
5. National Anthem,  Kimigayo, also known as Kokka Kimigayo (wd:Q106398988): short film by Noburo Ofuji
6. Music and Politics: Japanese Composer Mayuzumi Toshiro and Kimigayo (wd:Q127824960): scholarly article

[Assistant] The entity for the Japanese national anthem "Kimigayo" is wd:Q81534. Now I will find the composer of this anthem by checking the properties of this entity.

[Tool]
Got 484 rows and 3 columns, showing the first 10 rows below:
| subject              | property                            | object                                                                  |
| -------------------- | ----------------------------------- | ----------------------------------------------------------------------- |
| Kimigayo (wd:Q81534) | instance of (wdt:P31)               | national anthem (wd:Q23691)                                             |
| Kimigayo (wd:Q81534) | title (wdt:P1476)                   | 君が代 (ja)                                                                |
| Kimigayo (wd:Q81534) | language of work or name (wdt:P407) | Early Middle Japanese (wd:Q182695)                                      |
| Kimigayo (wd:Q81534) | country (wdt:P17)                   | Japan (wd:Q17)                                                          |
| Kimigayo (wd:Q81534) | Commons category (wdt:P373)         | National anthem of Japan                                                |
| Kimigayo (wd:Q81534) | image (wdt:P18)                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Kimigayo.score.svg> |
| Kimigayo (wd:Q81534) | copyright status (wdt:P6216)        | public domain (wd:Q19652)                                               |
| Kimigayo (wd:Q81534) | inception (wdt:P571)                | 1880-10-26T00:00:00Z (xsd:dateTime)                                     |
| Kimigayo (wd:Q81534) | depicts (wdt:P180)                  | sazare-ishi (wd:Q11267921)                                              |
| Kimigayo (wd:Q81534) | topic's main category (wdt:P910)    | wd:Q19821793                                                            |
| ...                  | ...                                 | ...                                                                     |

[Assistant] The list of properties for the Japanese national anthem entity (wd:Q81534) does not yet show the composer. I will specifically search for properties related to "composer" for this entity.

[Tool]
Top 10 property alternatives:
1. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as p/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt): author of song lyrics, author
4. MusicBrainz work ID, also known as composition ID (MusicBrainz), MBID work, MBW, MB work ID, MusicBrainz composition ID (wd:P435 as p/wdtn/wdt): identifier for a work per the MusicBrainz open music encyclopedia
5. tonality, also known as in key, key, key of musical composition, key used, musical key (wd:P826 as p/wdt): key of a musical composition
6. sheet music, also known as musical score (wd:P3030 as p/wdt): media file containing the musical score (sheet music) for this item
7. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
8. audio, also known as audio file, audio recording, audio sample, recording, song (wd:P51 as p/wdt): relevant sound. If available, use a more specific property. Samples: "spoken text audio" (P989), "pronunciation audio" (P443)
9. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as p/wdt): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
10. copyright status, also known as copyrighted, copyright restriction (wd:P6216 as p/wdt): copyright status for intellectual creations like works of art, publications, software, etc.

No other items found

[Assistant] The property "composer" (wdt:P86) is the correct property to find the composer of the Japanese national anthem. I will now query the composer of the anthem using this property.

[Tool]
Got 1 row and 2 columns:
| composer                       | composerLabel         |
| ------------------------------ | --------------------- |
| Hiromori Hayashi (wd:Q3783782) | Hiromori Hayashi (en) |

[Assistant] The composer of the Japanese national anthem "Kimigayo" is Hiromori Hayashi (wd:Q3783782). Now I will find the native name of Hiromori Hayashi. The native name is usually stored under the property "native label" or similar. I will check the labels and aliases of this entity.

[Tool]
Got 177 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                         | object                                                                      |
| ------------------------------ | -------------------------------- | --------------------------------------------------------------------------- |
| Hiromori Hayashi (wd:Q3783782) | instance of (wdt:P31)            | human (wd:Q5)                                                               |
| Hiromori Hayashi (wd:Q3783782) | occupation (wdt:P106)            | composer (wd:Q36834)                                                        |
| Hiromori Hayashi (wd:Q3783782) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                          |
| Hiromori Hayashi (wd:Q3783782) | date of birth (wdt:P569)         | 1831-12-28T00:00:00Z (xsd:dateTime)                                         |
| Hiromori Hayashi (wd:Q3783782) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Hayashi%20Hiromori.jpg> |
| Hiromori Hayashi (wd:Q3783782) | country of citizenship (wdt:P27) | Japan (wd:Q17)                                                              |
| Hiromori Hayashi (wd:Q3783782) | family name (wdt:P734)           | Hayashi (wd:Q279372)                                                        |
| Hiromori Hayashi (wd:Q3783782) | place of birth (wdt:P19)         | Reinin-cho (wd:Q73436066)                                                   |
| Hiromori Hayashi (wd:Q3783782) | date of death (wdt:P570)         | 1896-04-05T00:00:00Z (xsd:dateTime)                                         |
| Hiromori Hayashi (wd:Q3783782) | genre (wdt:P136)                 | gagaku (wd:Q718540)                                                         |
| ...                            | ...                              | ...                                                                         |

[Assistant] The list of properties for Hiromori Hayashi does not explicitly show a "native name" property. I will check if there is a label in Japanese (ja) language for this entity, as that might represent the native name.

[Tool]
Got 1 row and 1 column:
| label    |
| -------- |
| 林廣守 (ja) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the native Japanese name (label in Japanese) of Hiromori Hayashi, the composer of the Japanese national anthem. The answer is accurate and complete, providing the native name 林廣守 as requested. The query uses the correct entity and filters for the Japanese language label, which is appropriate for the question. No further refinement is necessary.


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 ?animal ?animalLabel ?lifespan WHERE {
  VALUES ?animal {
    wd:Q174199 wd:Q36341
  }
  ?animal wdt:P4214 ?lifespan .
  OPTIONAL {
    ?animal rdfs:label ?animalLabel FILTER ( LANG( ?animalLabel ) = "en" )
  }
}

Got 2 rows and 3 columns:
| animal                                 | animalLabel                    | lifespan           |
| -------------------------------------- | ------------------------------ | ------------------ |
| common bottlenose dolphin (wd:Q174199) | common bottlenose dolphin (en) | 51.6 (xsd:decimal) |
| Ursus arctos (wd:Q36341)               | Ursus arctos (en)              | 40 (xsd:decimal)   |

The common bottlenose dolphin has a higher observed lifespan of 51.6 years compared to the brown bear (Ursus arctos) which has an observed lifespan of 40 years.

[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 has a higher observed lifespan out of the common bottlenose dolphin and the brown bear?

[Assistant]
To answer the question "Who has a higher observed lifespan out of the common bottlenose dolphin and the brown bear?", I need to find the observed lifespan (maximum or typical lifespan) of both the common bottlenose dolphin and the brown bear from the knowledge graph.

Step 1: Identify the entities for "common bottlenose dolphin" and "brown bear" in Wikidata.
Step 2: Identify the property related to observed lifespan or maximum lifespan.
Step 3: Query the observed lifespan for both entities.
Step 4: Compare the lifespans and determine which one is higher.

I will start by searching for the entities "common bottlenose dolphin" and "brown bear" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. common bottlenose dolphin, also known as Atlantic bottlenose dolphin, Bottle-Nosed Dolphin, bottlenose dolphin, Bottlenose dolphin, Tursiops truncatus (wd:Q174199): best-known species of the dolphin family
2. bottlenose dolphin, also known as Tursiops (wd:Q149069): genus of dolphin
3. Common Dolphin (wd:Q84262742): ship built in 2012
4. Fetal omphalocele in a common bo...se dolphin (Tursiops truncatus). (wd:Q46363505): scientific article
5. Short-beaked Common Dolphin, also known as Delphinus delphis (wd:Q207114): species of mammal
6. mahi-mahi, also known as dorado, mahi mahi, Coryphaena hippurus, common dolphinfish (wd:Q14443): species of fish
7. Delphinus, also known as Common dolphin genus (wd:Q312257): genus of mammals
8. Indo-Pacific bottlenose dolphin, also known as Tursiops aduncus, Indian Ocean bottlenose dolphin (wd:Q370597): species of mammal
9. Delphinus capensis, also known as Long-beaked common dolphin (wd:Q604326): species of mammal
10. Tursiops erebennus, also known as Tamanend's bottlenose dolphin (wd:Q121222034): species of dolphin

[Tool]
Top 10 entity alternatives:
1. Ursus arctos, also known as brown bear, grizzly bear (wd:Q36341): species of mammal
2. Ursus arctos, also known as brown bear, grizzly bear (wd:Q36341): species of mammal
3. Brown Bear, also known as Brown Bear Public House, Brown Bear, Whitechapel, The Brown Bear, Whitechapel (wd:Q26318258): pub in Whitechapel, London
4. Brown bear (wd:Q57080481): sculpture by François Pompon on display at Musée de Grenoble
5. Brown Bear, also known as Beube (wd:Q124961726): South Korean online streamer
6. Brown Bear, also known as The Brown Bear (wd:Q79684102): pub in Berwick-Upon-Tweed, Northumberland, UK
7. The Brown Bear Public House, also known as Brown Bear, The Brown Bear, Ware (wd:Q17554255): pub in Braughing, Ware, UK
8. brown bear, also known as grizzly bear (wd:Q113488817): fictional monster from Dungeons & Dragons
9. Brown bear (wd:Q117481410): sculpture by Georg Wrba in Tierpark Berlin, Germany
10. Brown Bear, also known as Brown Bear, Devonport, Plymouth (wd:Q80476278): pub in Plymouth, Devon, UK

[Assistant]
I have identified the entities for the common bottlenose dolphin (wd:Q174199) and the brown bear (wd:Q36341).

Next, I need to find the property related to observed lifespan or maximum lifespan. I will search for properties related to "lifespan" or "maximum lifespan" in Wikidata.

[Tool]
Top 10 property alternatives:
1. life expectancy, also known as life span, lifespan (wd:P2250 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): average life expectancy for this group or species, duration
2. mean lifetime (wd:P2645 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): inverse of exponential decay rate; half-life is ln(2) times this value, duration
3. longest observed lifespan, also known as maximum age, oldest recorded individual, oldest observed, maximum life span, highest observed lifespan (wd:P4214 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): age of the oldest specimen of a taxon for which the age can be verified
4. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): length of time of an event or process
5. shelf life, also known as unfit for use after, expired by, expiration, expires in (wd:P4218 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): length of time that a commodity may be stored without becoming unfit for use or consumption
6. service life (wd:P5069 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): product's total life in use from the point of sale to the point of discard
7. biological phase, also known as life cycle stage, life stage (wd:P4774 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): biological period or stage when this biological process or phenomenon occurs
8. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
9. length, also known as size, long, LOA, distance, dimension (wd:P2043 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): measured dimension of an object
10. mean age, also known as average age (wd:P4442 as pqn/ps/psv/p/pq/psn/prv/prn/pqv/pr/wdtn/wdt): mean age in a given place

[Assistant]
I found the property "longest observed lifespan" (wdt:P4214) which corresponds to the age of the oldest specimen of a taxon for which the age can be verified. This property is suitable for comparing the observed lifespan of the common bottlenose dolphin and the brown bear.

Next, I will query the longest observed lifespan for both the common bottlenose dolphin (wd:Q174199) and the brown bear (wd:Q36341).

[Tool]
Got 2 rows and 3 columns:
| animal                                 | animalLabel                    | lifespan           |
| -------------------------------------- | ------------------------------ | ------------------ |
| common bottlenose dolphin (wd:Q174199) | common bottlenose dolphin (en) | 51.6 (xsd:decimal) |
| Ursus arctos (wd:Q36341)               | Ursus arctos (en)              | 40 (xsd:decimal)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the longest observed lifespan for both the common bottlenose dolphin and the brown bear using their Wikidata identifiers and the property for longest observed lifespan (wdt:P4214). The query returns the expected two results with the correct lifespan values: 51.6 years for the dolphin and 40 years for the brown bear. The answer correctly compares these values and states that the common bottlenose dolphin has a higher observed lifespan. The query follows the rules by returning identifiers and labels optionally, and no additional computation is done outside SPARQL. Therefore, the output is correct and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?dateOfOfficialOpening WHERE {
  wd:Q27706 wdt:P1619 ?dateOfOfficialOpening .
}

The Hamburg Airport was inaugurated in the year 1912.

[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 Hamburg Airport inaugurated?

[Assistant]
To answer the question "When was the Hamburg Airport inaugurated?", I need to find the entity for Hamburg Airport and then find the property related to its inauguration or opening date.

Step 1: Search for the entity "Hamburg Airport" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport, also known as Hamburg-Fuhlsbüttel Airport, Hamburg Airport “Helmut Schmidt”, EDDH, HAM (wd:Q27706): airport in Fuhlsbüttel, Hamburg, Germany
2. Hamburg Finkenwerder Airport, also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW (wd:Q663819): aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany
3. Hamburg Airport station (wd:Q5644290): railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport, also known as 4G2, Hamburg Inc Aerodrome (wd:Q34959585)
6. Hamburg : Airport, also known as A9 n35_Sm2 (wd:Q104725193): folder of the 20th Century Press Archives
7. Hamburg Airport S-Bahn line (wd:Q1430696): railway line in Germany
8. Novo Hamburgo Airport, also known as SSNH (wd:Q12694211): Brazilian airport
9. Hamburg : Airport, individual, also known as A9 n35_Sm2.II (wd:Q104725196): folder of the 20th Century Press Archives
10. Hamburg : Airport, general, also known as A9 n35_Sm2.I (wd:Q104725195): folder of the 20th Century Press Archives

[Assistant] The entity for Hamburg Airport is wd:Q27706. Next, I will look for the property related to the inauguration or opening date of this airport. Common properties for this type of information are "inception" or "opening date." I will search for properties related to "inauguration" or "opening date" for this entity.

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as p/wdt): date or point in time a place, organization, or event officially opened, start time, inception
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
4. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as p/wdt): number of passengers, patrons or visitors in specified time period
5. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
6. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant] The property "date of official opening" (wdt:P1619) is the most suitable to find the inauguration date of Hamburg Airport (wd:Q27706). I will now construct a SPARQL query to get the date of official opening for Hamburg Airport.

[Tool]
Got 1 row and 1 column:
| dateOfOfficialOpening               |
| ----------------------------------- |
| 1912-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the date of official opening (P1619) for Hamburg Airport (Q27706) from Wikidata. The answer '1912' matches the query result and is accurate. The query is simple, precise, and returns the expected information. No further refinement is necessary.


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 ?tvshow ?tvshowLabel ?startDate ?numSeasons WHERE {
  ?tvshow wdt:P31 wd:Q5398426 ; wdt:P161 wd:Q23760 ; wdt:P580 ?startDate .
  OPTIONAL {
    ?tvshow wdt:P2437 ?numSeasons .
  }
  OPTIONAL {
    ?tvshow rdfs:label ?tvshowLabel .
    FILTER ( LANG( ?tvshowLabel ) = "en" )
  }
  FILTER ( YEAR( ?startDate ) = 1983 )
}

The TV show that starred Rowan Atkinson, had 4 seasons, and started in 1983 is "Blackadder".

[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 TV-show that starred Rowan Atkinson , had 4 seasons and started in 1983?

[Assistant]
To answer this question, I need to find a TV show that meets the following criteria:
1. Starred Rowan Atkinson.
2. Had 4 seasons.
3. Started in 1983.

Step 1: Identify the entity for Rowan Atkinson.
Step 2: Find TV shows where Rowan Atkinson was a cast member.
Step 3: Filter those TV shows to find one that started in 1983.
Step 4: Check which of those TV shows had 4 seasons.

I will start by searching for the entity of Rowan Atkinson.

[Tool]
Top 10 entity alternatives:
1. Rowan Atkinson, also known as Rowan Sebastian Atkinson (wd:Q23760): English actor, comedian, and screenwriter, electrical engineer, television director, television actor, film producer, screenwriter, manufacturer, voice actor, stage actor, film actor, comedian, actor
2. Rowan Atkinson Live (wd:Q9322991): 1992 film
3. Hubert Rowan Atkinson, also known as Hon. Hubert Rowan Atkinson (wd:Q75293963): (born 1882)
4. Sorbus, also known as rowan (wd:Q157964): genus of plants
5. Sorbus aucuparia, also known as European mountain-ash, European rowan, rowan, rowan-berry (wd:Q146198): species of plant
6. Rowan, also known as Rowan, IA, Rowan, Iowa (wd:Q533345): American city in Iowa
7. Atkinson, also known as Atkinson, NE, Atkinson, Nebraska (wd:Q965125): town in Nebraska, United States
8. Atkinson, also known as Atkinson, IL (wd:Q576062): town in Illinois, United States
9. Atkinson, also known as Atkinson, NC, Atkinson, North Carolina (wd:Q2027754): town in North Carolina
10. 4599 Rowan, also known as Rowan (wd:Q543954): asteroid

[Assistant]
I have identified the entity for Rowan Atkinson as wd:Q23760.

Next, I will find TV shows where Rowan Atkinson was a cast member. I will search for TV shows with Rowan Atkinson as an actor.

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

[Assistant]
The query failed because the SERVICE wikibase:label is not supported by the QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for the TV show.

I will retry the query to find TV shows starring Rowan Atkinson that started in 1983 and get their number of seasons and labels.

[Tool]
Got 1 row and 4 columns:
| tvshow                 | tvshowLabel     | startDate                           | numSeasons      |
| ---------------------- | --------------- | ----------------------------------- | --------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 1983-06-15T00:00:00Z (xsd:dateTime) | 4 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the TV show starring Rowan Atkinson that started in 1983 and has 4 seasons. It uses appropriate properties for instance of TV show, cast member, start date, and number of seasons. The query returns the expected result 'Blackadder' with the correct start date and number of seasons. The answer is accurate and complete according to the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?album WHERE {
  ?album wdt:P175 wd:Q1744 .
  ?album wdt:P31 wd:Q482994 .
}

Got 52 rows and 1 column, showing the first 5 and last 5 rows below:
| album                                                                        |
| ---------------------------------------------------------------------------- |
| The Madonna Collection (wd:Q10381586)                                        |
| Madame X: Music from the Theater Xperience (wd:Q109035165)                   |
| Like a Virgin (wd:Q110977503)                                                |
| Finally Enough Love: 50 Number Ones (wd:Q111832621)                          |
| GHV2 (wd:Q1122620)                                                           |
| ...                                                                          |
| Celebration (wd:Q632665)                                                     |
| The Immaculate Collection (wd:Q642470)                                       |
| I'm Breathless – Music from and Inspired by the Film Dick Tracy (wd:Q746450) |
| Remixed & Revisited (wd:Q755143)                                             |
| Who's That Girl — Original Motion Picture Soundtrack (wd:Q841867)            |

Madonna performs on 52 albums.

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

You have access to the following knowledge graphs:
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] On how many albums does Madonna perform?

[Assistant] To answer the question "On how many albums does Madonna perform?" I need to find the entity for Madonna and then find the albums on which she performs. The property that relates an artist to an album they perform on is typically "performer" or "performer credited in" or similar. I will start by searching for the entity "Madonna" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Madonna, also known as Madonna Ciccone, Madonna Louise Veronica Ciccone, Madonna Louise Ciccone, Madonna L. Ciccone (wd:Q1744): American singer, songwriter, and actress (born 1958), songwriter, singer, actor
2. Mary, also known as Mother of God, Mother of Jesus, Notre Dame, Our Lady, Queen of the Universe (wd:Q345): mother of Jesus
3. Madonna, also known as Madonna: The First Album (wd:Q177943): 1983 self-titled debut studio album by Madonna
4. Madonna (wd:Q1989780): painting composition by Edvard Munch, in different versions
5. Madonna, also known as Madonna in art, The Madonna in art, Virgin Mary in art (wd:Q926743): artistic representation of Mary, either alone or with her child Jesus
6. Madonna (wd:Q19794647): 2015 South Korean film directed by Shin Su-won
7. Madonna (wd:Q1147459): album by …And You Will Know Us by the Trail of Dead
8. Madonna (wd:Q486604): 2010 EP by Secret
9. Madonna, also known as Madonna, MD, Madonna, Maryland (wd:Q6728358): unincorporated community in Harford County, Maryland
10. Virgin and Child with an Angel (Madonna del Latte), also known as Madonna, Madonna with child and John the Baptist (wd:Q3842618): painting by Antonio da Correggio from 1520

[Assistant] The entity for Madonna the American singer is wd:Q1744. Now I will search for albums where Madonna (wd:Q1744) is a performer. I will search for properties related to "performer" or "performer credited in" for this entity.

[Tool]
Top 10 property alternatives:
1. Muziekweb performer ID, also known as Muziekweb artist ID, Muziekweb band ID (wd:P5882 as p/wdt): identifier for a performer, composer or band at Muziekweb
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. 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
5. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt): alias used by someone (for nickname use P1449), name
6. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
7. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as p/wdt): identifier for a musical artist or author in the U.S. version of Apple Music
8. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
9. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
10. Vokrug.tv person ID, also known as https://www.vokrug.tv/person/show/, Vokrug.tv ID, Vokrug.tv identifier, Vokrug.tv person identifier, vokrug.tv/person/show/ (wd:P10052 as p/wdt): identify for person in Vokrug.tv

No other items found

[Assistant] The search for properties related to "performer" for Madonna (wd:Q1744) did not return a direct property linking her to albums she performs on. I will try a different approach: I will search for albums where Madonna (wd:Q1744) is listed as a performer by checking the property "performer" (wdt:P175) with Madonna as the object. This property is commonly used to indicate the performer of a musical work or album.

[Tool]
Got 52 rows and 1 column, showing the first 5 and last 5 rows below:
| album                                                                        |
| ---------------------------------------------------------------------------- |
| The Madonna Collection (wd:Q10381586)                                        |
| Madame X: Music from the Theater Xperience (wd:Q109035165)                   |
| Like a Virgin (wd:Q110977503)                                                |
| Finally Enough Love: 50 Number Ones (wd:Q111832621)                          |
| GHV2 (wd:Q1122620)                                                           |
| ...                                                                          |
| Celebration (wd:Q632665)                                                     |
| The Immaculate Collection (wd:Q642470)                                       |
| I'm Breathless – Music from and Inspired by the Film Dick Tracy (wd:Q746450) |
| Remixed & Revisited (wd:Q755143)                                             |
| Who's That Girl — Original Motion Picture Soundtrack (wd:Q841867)            |

[Assistant] Madonna performs on 52 albums according to the query results. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves albums where Madonna is a performer and filters for items that are instances of albums. The answer of 52 albums is consistent with the query result. The query follows best practices by returning the actual album identifiers and does not include unnecessary label service calls. The answer is clear and complete for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?inception WHERE {
  wd:Q800176 wdt:P571 ?inception .
}

The jazz club Birdland in Hamburg was founded in 1985.

[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 jazz club Birdland in Hamburg founded?

[Assistant] To answer the question about the founding date of the jazz club Birdland in Hamburg, I will first search for the entity "Birdland Hamburg" in Wikidata to identify the correct entity representing this jazz club. Then, I will look for properties related to the founding date of this entity.

[Tool]
Top 10 entity alternatives:
1. Hamburg, also known as Free and Hanseatic City of Hamburg, Hamburg, Germany, Hamburg, Freie und Hansestadt (wd:Q1055): city and state in the North of Germany
2. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
3. Hamburg, also known as Hamburg, IA, Hamburg, Iowa (wd:Q998718): city in Fremont County, Iowa, United States
4. Hamburg, also known as Hamburg, AR, Hamburg, Arkansas (wd:Q79657): city in Ashley County, Arkansas, United States
5. Hamburg, also known as Hamburg, Minnesota, Hamburg, MN (wd:Q1005682): city in Carver County, Minnesota, United States
6. Hamburg, also known as Hamburg, New Jersey, Hamburg, NJ (wd:Q1082931): borough in Sussex County, New Jersey, United States
7. Hamburg, also known as Hamburg, New York, Hamburg, NY (wd:Q742785): town in Erie County, New York, United States
8. Hamburg, also known as Hamburg, IL (wd:Q2672139): village in Calhoun County, Illinois, United States
9. Oriole Park at Camden Yards, also known as Birdland, Camden Yards, The House that Cal Built, The Yard (wd:Q1141174): baseball stadium in Baltimore, Maryland
10. Hamburg, also known as Hamburg, PA, Hamburg, Pennsylvania (wd:Q1181264): borough in Berks County, Pennsylvania, United States

[Assistant] The search for "Birdland Hamburg" did not return a direct match for the jazz club Birdland in Hamburg. The results mostly include various places named Hamburg and other unrelated entities. I will try a more general search for "Birdland" to see if the jazz club in Hamburg is listed under a different or more general name.

[Tool]
Top 10 entity alternatives:
1. Oriole Park at Camden Yards, also known as Birdland, Camden Yards, The House that Cal Built, The Yard (wd:Q1141174): baseball stadium in Baltimore, Maryland
2. Birdland (wd:Q256347): New York City jazz club
3. Birdland (wd:Q2904435): album by The Yardbirds
4. Birdland (wd:Q784489): song
5. Birdland (wd:Q800176): jazz club in Hamburg
6. Birdland (wd:Q55652970): 2018 film directed by Peter Lynch
7. Birdland (wd:Q11854283)
8. Birdland, also known as Birdland, San Diego (wd:Q4916004): neighborhood of San Diego, California, United States
9. Oliver Ho, also known as Raudive, Seeker, Veil, Zov Zov, Life (wd:Q1722141): British DJ and electronic music producer, disc jockey, DJ producer
10. Birdland (wd:Q118905393): erotic comic book series

[Assistant] I found an entity "Birdland" (wd:Q800176) which is described as a jazz club in Hamburg. This seems to be the correct entity for the jazz club Birdland in Hamburg. Next, I will look for the founding date property of this entity.

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                                    | object                                                                                |
| --------------------- | ----------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Birdland (wd:Q800176) | instance of (wdt:P31)                                       | jazz club (wd:Q1684522)                                                                                |
| Birdland (wd:Q800176) | country (wdt:P17)                                           | Germany (wd:Q183)                                                                                |
| Birdland (wd:Q800176) | located in the administrative territorial entity (wdt:P131) | Eimsbüttel (wd:Q1632)                                                                                |
| Birdland (wd:Q800176) | coordinate location (wdt:P625)                              | POINT(9.962400 53.578400) (geo:wktLiteral)                                                                                |
| Birdland (wd:Q800176) | Commons category (wdt:P373)                                 | Birdland (Hamburg)                                                                                |
| Birdland (wd:Q800176) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Tini%20Thomsen%20and%20Matthias%20Konrad%20with%20the%20Thomsen%20Group%20%40%20Birdland%2C%20Hamburg%20%282322324186%29.jpg> |
| Birdland (wd:Q800176) | location (wdt:P276)                                         | Eimsbüttel (wd:Q1611)                                                                                |
| Birdland (wd:Q800176) | inception (wdt:P571)                                        | 1985-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Birdland (wd:Q800176) | street address (wdt:P6375)                                  | Gärtnerstraße (de)                                                                                |
| Birdland (wd:Q800176) | date of official opening (wdt:P1619)                        | 1985-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| ...                   | ...                                                         | ...                                                                                |

[Assistant] The entity Birdland (wd:Q800176) has the property "inception" (wdt:P571) with the value "1985-01-01T00:00:00Z" which indicates the founding date. It also has the property "date of official opening" (wdt:P1619) with the same date. I will now construct a SPARQL query to retrieve the founding date (inception) of the jazz club Birdland in Hamburg.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the entity Birdland (wd:Q800176) as the jazz club in Hamburg and used the property inception (wdt:P571) to find its founding date. The SPARQL query is appropriate and returns the founding year 1985, which matches the answer given. The query returns the actual identifier and the inception date as required. No further refinement is necessary.


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 ?author ?authorLabel WHERE {
  wd:Q44649835 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

The author of "Prototypical Networks for Few-shot Learning" is Richard S. Zemel.

[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 wrote "Prototypical Networks for Few-shot Learning"?

[Assistant] To answer the question "Who wrote 'Prototypical Networks for Few-shot Learning'?", I will first search for the entity corresponding to the paper "Prototypical Networks for Few-shot Learning" in Wikidata. Then, I will look for the property that indicates the author(s) of this paper.

[Tool]
Top 10 entity alternatives:
1. Prototypical Networks for Few-shot Learning (wd:Q44649835): scientific article published in January 2017
2. Hybrid Graph Neural Networks for Few-Shot Learning (wd:Q114887023): scientific article published in 2022
3. Convolutional Shrinkage Neural N...a-Learning for Few-Shot Learning (wd:Q114955057): scientific article published in 2022
4. Facial Skin Type Analysis Using ...rning with Prototypical Networks (wd:Q129793741): scholarly article published on 31 December 2023
5. Few-Shot Ensemble Learning for V...on with SlowFast Memory Networks (wd:Q130987343): scientific article published on 12 October 2020
6. Co-Learning for Few-Shot Learning (wd:Q114955104): scientific article published in 2022
7. Differential learning for learning networks (wd:Q123992464): US patent 11468327
8. Bayesian Learning for Neural Networks (wd:Q60016544): scientific article published in 1996
9. Information Maximization for Few-Shot Learning (wd:Q104090143): scientific article published in November 2020
10. Ensemble Learning for Multi-Layer Networks (wd:Q77697315): scholarly article by David Barber & Christopher M. Bishop published 1998 in Advances in Neural Information Processing Systems 10

[Assistant] I found the entity for the paper "Prototypical Networks for Few-shot Learning" with the identifier wd:Q44649835. Now I will look for the property that indicates the author(s) of this paper. Typically, the property for author in Wikidata is "P50". I will check the authors of this paper using this property.

[Tool]
Got 1 row and 3 columns:
| subject                                                    | property         | object                          |
| ---------------------------------------------------------- | ---------------- | ------------------------------- |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author (wdt:P50) | Richard S. Zemel (wd:Q26702597) |

[Assistant] The author of the paper "Prototypical Networks for Few-shot Learning" (wd:Q44649835) is Richard S. Zemel (wd:Q26702597). I will now provide the final answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the author of the scientific article "Prototypical Networks for Few-shot Learning" using the property wdt:P50 (author). The query returns the author's identifier and English label, which is appropriate and follows the guidelines. The answer provided, Richard S. Zemel, matches the query result and is complete and accurate. No further refinement is necessary.