PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?nativeName WHERE {
  wd:Q81534 wdt:P86 ?composer .
  ?composer wdt:P1559 ?nativeName .
}

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

林廣守

[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 http://amur:7001

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?

[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

[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

[Tool]
Top 10 property alternatives:
1. name in native language, also known as native name (wd:P1559 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): name of a person in their native language, name
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): label for the items in their official language  or their original language, name
3. 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. endemic to, also known as endemic in, native in, native to (wd:P183 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sole location or habitat type where the taxon lives
6. Native Land language ID, also known as Native-Land.ca language ID (wd:P9717 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for language entry on the Native Land interactive map
7. taxon common name, also known as common name, taxon vernacular name, TCN, vernacular name (wd:P1843 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): common or vernacular name of a biological taxon, name
8. ancestral home, also known as native village, native place, ancestral village, ancestral homeplace, ancestral place (wd:P66 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): place of origin for ancestors of subject, significant place
9. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): language or languages a person has learned from early childhood, languages spoken, written or signed
10. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)

[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 wdt/p/wdtn): 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

[Tool]
Got 1 row and 1 column:
| composer                       |
| ------------------------------ |
| Hiromori Hayashi (wd:Q3783782) |

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

[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 ?species ?speciesLabel ?lifespan WHERE {
  VALUES ?species {
    wd:Q174199 wd:Q36341
  }
  ?species wdt:P4214 ?lifespan .
  ?species rdfs:label ?speciesLabel .
  FILTER ( LANG( ?speciesLabel ) = "en" )
}
ORDER BY DESC ( ?lifespan )
LIMIT 1

The common bottlenose dolphin has a higher observed lifespan than the brown bear.

[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 http://amur:7001

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?

[Tool]
Top 10 property alternatives:
1. life expectancy, also known as life span, lifespan (wd:P2250 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): average life expectancy for this group or species, duration
2. mean lifetime (wd:P2645 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): length of time that a commodity may be stored without becoming unfit for use or consumption
6. service life (wd:P5069 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): measured dimension of an object
10. mean age, also known as average age (wd:P4442 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): mean age in a given place

[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

[Tool] Stopped generation process


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

Hamburg Airport was officially inaugurated on 1 January 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 http://amur:7001

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?

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. 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)
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. 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)

No other items found

[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

[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. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as p/wdt): number of passengers, patrons or visitors in specified time period
4. EU Participant Identification Code, also known as EU PIC, PIC (wd:P5785 as p/wdt): ID of organization participating in EU programmes
5. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
6. 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
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. email address, also known as electronic mail address, mailto:, e-mail address, email, e-mail (wd:P968 as p/wdt): email address, prefixed with mailto:, URL
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as p/wdt): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item

No other items found

[Tool]
Got 1 row and 1 column:
| opening                             |
| ----------------------------------- |
| 1912-01-01T00:00:00Z (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 ?show ?showLabel WHERE {
  ?show wdt:P161 wd:Q23760 ; wdt:P2437 4 ; wdt:P580 ?startTime .
  FILTER ( YEAR( ?startTime ) = 1983 ) .
  OPTIONAL {
    ?show rdfs:label ?showLabel FILTER ( LANG( ?showLabel ) = "en" )
  }
}

The TV show is Blackadder (wd:Q49019).

[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 http://amur:7001

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?

[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

[Tool]
Top 10 property alternatives:
1. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of seasons a television or radio series has had, number of parts of this work
2. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
3. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): season of a series (televison, web, podcast), part of
4. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
5. volume, also known as volume of serial, volume of a book, volume number, vol., tome (wd:P478 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
6. season of club or team, also known as season of athletics program, season of club, season of team, sports season of club or team (wd:P5138 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): club or team that played the season
7. season ends (wd:P6118 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): to indicate what month of the year a sports season ends
8. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of episodes in a film/TV/radio series, number of parts of this work
9. season starts, also known as season begins (wd:P4794 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): month or season when sports competition begins
10. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): time period when a statement is valid

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): particular item that initiates this action or class of actions
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): object depicting this subject (object being creative works such as books, films, paintings)
7. character role, also known as role, plays, performer of, as, acting role (wd:P453 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
8. describes actor of (wd:P12027 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
9. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
10. film crew member (wd:P3092 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): member of the crew creating an audiovisual work, used for miscel... available: notably for cast member (P161), director (P57), etc., significant person

[Tool] Got no rows and 2 columns

[Tool]
Top 10 property alternatives:
1. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location where a work was first debuted, performed or broadcasted, significant place
2. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
3. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): channel, network, website or service that broadcast this item over radio, television or the Internet
4. licensed to broadcast to, also known as broadcasts to, broadcast to, city of license, community of license (wd:P1408 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): place that a radio/TV station is licensed/required to broadcast to
5. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date or point in time when a work was first published or released, point in time
6. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): work in which a fictional/mythical character or entity first appeared, present in 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
8. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): participant for whom this is their debut appearance in a series of events
9. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): company that produced this film, audio or performing arts work
10. first performance by, also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by (wd:P11849 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): performer or performing group for the first performance of a work

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date or point in time when a work was first published or released, point in time
2. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date a work was first debuted, performed or live-broadcasted, publication date
3. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): work in which a fictional/mythical character or entity first appeared, present in work
4. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
5. debut date (wd:P10673 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date when a person or group is considered to have "debuted"
6. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location where a work was first debuted, performed or broadcasted, significant place
7. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): series which contains the subject, part of
8. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): participant for whom this is their debut appearance in a series of events
9. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): season of a series (televison, web, podcast), part of
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): time when an entity begins to exist; for date of official opening use P1619, start time

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Blackadder (wd:Q49019): British television comedy series, 1983–89
2. Blackadder (wd:Q49019): British television comedy series, 1983–89
3. Blackadder Water, also known as Blackadder (wd:Q2769233): river in Scottish Borders, Scotland, UK, tributary of Whiteadder Water
4. Blackadder (wd:Q22812450): family name
5. Blackadder (wd:Q4922518): independent bottler of Scotch whisky
6. Blackadder (wd:Q4922510): village in Scottish Borders, Scotland, UK
7. Blackadder (wd:Q4922515): clipper ship
8. Blackadder, also known as IMO 9259587 (wd:Q52353058): tug built in 2002
9. Elizabeth Blackadder, also known as John, Mrs., Houston, Elizabeth Violet Blackadder, Elizabeth V. Blackadder, Dame Elizabeth Blackadder (wd:Q5362425): Scottish artist, watercolorist, lithographer, printmaker, painter
10. Blackadder II (wd:Q2668056): second series of the BBC sitcom Blackadder

[Tool]
Got 333 rows and 3 columns, showing the first 10 rows below:
| subject                | property                         | object                                     |
| ---------------------- | -------------------------------- | ------------------------------------------ |
| Blackadder (wd:Q49019) | instance of (wdt:P31)            | television series (wd:Q5398426)            |
| Blackadder (wd:Q49019) | title (wdt:P1476)                | Blackadder (en)                            |
| Blackadder (wd:Q49019) | has part(s) (wdt:P527)           | Blackadder II (wd:Q2668056)                |
| Blackadder (wd:Q49019) | country of origin (wdt:P495)     | United Kingdom (wd:Q145)                   |
| Blackadder (wd:Q49019) | official website (wdt:P856)      | <https://www.bbc.co.uk/comedy/blackadder/> |
| Blackadder (wd:Q49019) | genre (wdt:P136)                 | comedy television series (wd:Q9335576)     |
| Blackadder (wd:Q49019) | cast member (wdt:P161)           | Rowan Atkinson (wd:Q23760)                 |
| Blackadder (wd:Q49019) | creator (wdt:P170)               | Rowan Atkinson (wd:Q23760)                 |
| Blackadder (wd:Q49019) | start time (wdt:P580)            | 1983-06-15T00:00:00Z (xsd:dateTime)        |
| Blackadder (wd:Q49019) | topic's main category (wdt:P910) | wd:Q8302545                                |
| ...                    | ...                              | ...                                        |

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| count        |
| ------------ |
| 52 (xsd:int) |

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 http://amur:7001

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?

[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

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 52 (xsd:int) |

[Tool] Stopped generation process


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

The Birdland jazz club in Hamburg was founded on 1 January 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 http://amur:7001

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?

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. 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
5. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
6. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
7. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
8. Reduta Jazz Club (wd:Q12049057): music club
9. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
10. Ealing Jazz Club (wd:Q5325487)

[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

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. 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
5. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
6. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
7. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
8. Reduta Jazz Club (wd:Q12049057): music club
9. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
10. Ealing Jazz Club (wd:Q5325487)

[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

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. 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
5. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
6. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
7. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
8. Reduta Jazz Club (wd:Q12049057): music club
9. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
10. Ealing Jazz Club (wd:Q5325487)

[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

[Tool]
Got 1 row and 3 columns:
| subject               | property             | object                              |
| --------------------- | -------------------- | ----------------------------------- |
| Birdland (wd:Q800176) | inception (wdt:P571) | 1985-01-01T00:00:00Z (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 DISTINCT ?author ?authorName WHERE {
  {
    wd:Q44649835 wdt:P50 ?author .
    OPTIONAL {
      ?author rdfs:label ?authorName .
      FILTER ( LANG( ?authorName ) = "en" )
    }
  } UNION {
    wd:Q44649835 wdt:P2093 ?authorName .
  }
}
ORDER BY ?authorName

Got 3 rows and 2 columns:
| author                          | authorName            |
| ------------------------------- | --------------------- |
|                                 | Jake Snell            |
|                                 | Kevin Swersky         |
| Richard S. Zemel (wd:Q26702597) | Richard S. Zemel (en) |

The paper "Prototypical Networks for Few-shot Learning" was written by Jake Snell, Kevin Swersky, and 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 http://amur:7001

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"?

[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

[Tool]
Got 97 rows and 3 columns, showing the first 10 rows below:
| subject                                                    | property                              | object                                                                              |
| ---------------------------------------------------------- | ------------------------------------- | ----------------------------------------------------------------------------------- |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author name string (wdt:P2093)        | Jake Snell                                                                          |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | instance of (wdt:P31)                 | scholarly article (wd:Q13442814)                                                    |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | title (wdt:P1476)                     | Prototypical Networks for Few-shot Learning (en)                                    |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | publication date (wdt:P577)           | 2017-01-01T00:00:00Z (xsd:dateTime)                                                 |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | published in (wdt:P1433)              | Advances in Neural Information Processing Systems 30 (wd:Q39502823)                 |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author (wdt:P50)                      | Richard S. Zemel (wd:Q26702597)                                                     |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | main subject (wdt:P921)               | few-shot learning (wd:Q110797734)                                                   |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | language of work or name (wdt:P407)   | English (wd:Q1860)                                                                  |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | full work available at URL (wdt:P953) | <https://papers.nips.cc/paper/6996-prototypical-networks-for-few-shot-learning.pdf> |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | official website (wdt:P856)           | <https://papers.nips.cc/paper/6996-prototypical-networks-for-few-shot-learning>     |
| ...                                                        | ...                                   | ...                                                                                |

[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) |

[Tool]
Got 2 rows and 3 columns:
| subject                                                    | property                       | object        |
| ---------------------------------------------------------- | ------------------------------ | ------------- |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author name string (wdt:P2093) | Jake Snell    |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author name string (wdt:P2093) | Kevin Swersky |

[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 ?university ?universityLabel ?numStudents WHERE {
  ?university wdt:P31 / wdt:P279 * wd:Q3918 ; wdt:P2196 ?numStudents .
  FILTER ( ?numStudents > 200000 ) .
  OPTIONAL {
    ?university rdfs:label ?universityLabel .
    FILTER ( LANG( ?universityLabel ) = "en" ) .
  }
}
ORDER BY DESC ( ?numStudents )

Got 25 rows and 3 columns, showing the first 5 and last 5 rows below:
| university                                           | universityLabel                             | numStudents           |
| ---------------------------------------------------- | ------------------------------------------- | --------------------- |
| Indira Gandhi National Open University (wd:Q2028659) | Indira Gandhi National Open University (en) | 3000000 (xsd:decimal) |
| National University, Bangladesh (wd:Q4855355)        | National University, Bangladesh (en)        | 2097182 (xsd:decimal) |
| National University, Bangladesh (wd:Q4855355)        | National University, Bangladesh (en)        | 2097182 (xsd:decimal) |
| National University, Bangladesh (wd:Q4855355)        | National University, Bangladesh (en)        | 2097182 (xsd:decimal) |
| Islamic Azad University (wd:Q2661844)                | Islamic Azad University (en)                | 1702231 (xsd:decimal) |
| ...                                                  | ...                                         | ...                   |
| Ain Shams University (wd:Q2723670)                   | Ain Shams University (en)                   | 220000 (xsd:decimal)  |
| Damascus University (wd:Q1351317)                    | Damascus University (en)                    | 210929 (xsd:decimal)  |
| Cairo University (wd:Q194445)                        | Cairo University (en)                       | 207853 (xsd:decimal)  |
| Cairo University (wd:Q194445)                        | Cairo University (en)                       | 207853 (xsd:decimal)  |
| Universidad de San Carlos de Guatemala (wd:Q607331)  | Universidad de San Carlos de Guatemala (en) | 200174 (xsd:decimal)  |

This query retrieves universities (instances of Q3918) with more than 200,000 students, returning their Wikidata item, English label, and student count.

[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 http://amur:7001

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 universities have more than 200000 students?

[Tool]
Top 10 property alternatives:
1. count of students, also known as count of pupils, count of students, enrollment, number of pupils, number of pupils or students (wd:P2196 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of pupils or students of any type in an educational organ...evious years normal rank (not deprecated rank). Don't overwrite.
2. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): notable student(s) of the subject individual, significant person
3. number of out-of-school children (wd:P2573 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of out-of-school children reported for a place
4. number of teachers, also known as faculty count (wd:P10610 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of teachers at an educational facility
5. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): (qualifier) class of a given year/time period to which the person belonged in an educational institution
6. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of children of the person, animal, or character
7. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): educational institution attended by subject, affiliation
8. student retention rate (wd:P11698 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): proportion of first-year students at the educational institution who return for their second year
9. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
10. educational stage, also known as student classification (wd:P7374 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): educational stage of a specific school; qualifier of "educated at" (P69): the education stage of someone's attendance of school

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                         | property                      | object              |
| ----------------------------------------------- | ----------------------------- | ------------------- |
| Paris-Saclay University (wd:Q109409389)         | count of students (wdt:P2196) | 43578 (xsd:decimal) |
| ETH Zurich (wd:Q11942)                          | count of students (wdt:P2196) | 19233 (xsd:decimal) |
| University of Calcutta (wd:Q1145306)            | count of students (wdt:P2196) | 22520 (xsd:decimal) |
| Kazan Federal University (wd:Q113788)           | count of students (wdt:P2196) | 44992 (xsd:decimal) |
| Pierre and Marie Curie University (wd:Q1144549) | count of students (wdt:P2196) | 35114 (xsd:decimal) |
| Ghent University (wd:Q1137665)                  | count of students (wdt:P2196) | 50000 (xsd:decimal) |
| University of Sussex (wd:Q1161297)              | count of students (wdt:P2196) | 17319 (xsd:decimal) |
| Nagoya University (wd:Q1191132)                 | count of students (wdt:P2196) | 15834 (xsd:decimal) |
| Cardiff University (wd:Q1035745)                | count of students (wdt:P2196) | 28842 (xsd:decimal) |
| University of Delaware (wd:Q1068072)            | count of students (wdt:P2196) | 24221 (xsd:decimal) |
| ...                                             | ...                           | ...                 |

[Tool]
Got 7 rows and 2 columns:
| university                                                 | numStudents           |
| ---------------------------------------------------------- | --------------------- |
| Allama Iqbal Open University (wd:Q3694529)                 | 1326266 (xsd:decimal) |
| Universitas Terbuka (wd:Q7894421)                          | 525360 (xsd:decimal)  |
| National Open University of Nigeria, Lafia (wd:Q131290725) | 500000 (xsd:decimal)  |
| University of Phoenix (wd:Q1889100)                        | 420000 (xsd:decimal)  |
| National Autonomous University of Mexico (wd:Q222738)      | 360883 (xsd:decimal)  |
| Ain Shams University (wd:Q2723670)                         | 220000 (xsd:decimal)  |
| Cairo University (wd:Q194445)                              | 207853 (xsd:decimal)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?holiday ) AS ?numHolidays ) WHERE {
  wd:Q980 wdt:P832 ?holiday .
}

Got 1 row and 1 column:
| numHolidays  |
| ------------ |
| 13 (xsd:int) |

Bavaria has 13 public holidays in a year.

[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 http://amur:7001

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 public holidays does the state Bavaria have in a year?

[Tool]
Top 10 entity alternatives:
1. Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern (wd:Q980): federated state in the south of Germany
2. Kingdom of Bavaria, also known as Bavaria, Kinereich Baiern, Kinereich Bayern, Königreich Baiern, Königreich Bayern (wd:Q154195): kingdom in Central Europe between 1806 and 1918, from January 1871 part of the German Empire
3. Electorate of Bavaria, also known as Bavaria (wd:Q256961): state in the Holy Roman Empire
4. 301 Bavaria, also known as (301) Bavaria, Bavaria (wd:Q150590): main-belt asteroid
5. Bavaria, also known as Bavaria statue (wd:Q707669): Statue of Bavaria in Munich, Germany
6. Bavaria (wd:Q874953): former train on the Trans-Europ-Express connection Zurich-Munich
7. Bavaria, also known as Bavaria, Kansas, Bavaria, KS (wd:Q4873636): unincorporated community in Kansas, USA
8. Bavaria Brewery, also known as Bavaria S.A., Bavaria (wd:Q2946947): Colombian brewery company
9. Bavaria Fluggesellschaft, also known as Bavaria (wd:Q811995): former German airline
10. Bavaria (wd:Q117323380): female figure symbolising Bavaria

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
3. set during recurring event, also known as narrative event, narrative holiday, set during event, set during holiday (wd:P9215 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): recurring event (e.g. season, month, holiday) during which this fictional work is set
4. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
5. nature of statement, also known as validity of statement, status of statement, refine statement, precisely, modality of statement (wd:P5102 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): (qualifier only) the underlying circumstances of this statement
6. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): when a specific holiday or periodic event occurs. Can be used as property or qualifier
7. Jurisdiction List number, also known as J.L. number, JL number (wd:P7925 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): distinct number used to identify a mauza or village in Bangladesh and parts of India
8. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): place where a statement is valid, applies to part
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Tool]
Top 10 entity alternatives:
1. Christmas Day, also known as Natalis Domini, Xmas Day (wd:Q2703710): Christian holiday occurring on 25 December
2. Christmas Day (wd:Q5111336): song
3. Štědrý den, also known as Christmas Day, Christmas Eve (wd:Q10424846): ballad by Karel Jaromír Erben
4. Christmas Day (wd:Q5111333): single by Michael W. Smith and Mandisa
5. Christmas day (wd:Q111385821): drawing by Rommelaere, Emile
6. CHRISTMAS DAY (wd:Q127054718): hymn tune
7. Christmas Day (wd:Q60476575): chapter V of A Companion for the Festivals and Fasts of the Protestant Episcopal Church in the United States of America
8. Christmas Day (wd:Q119391370): painting by John Gardiner Crawford (b.1941), The Fleming Collection
9. Christmas Day (wd:Q119148282): painting by William McTaggart (1835–1910), Kirkcaldy Galleries
10. Christmas Day (wd:Q107599415): episode of Coroner (S3 E10)

[Tool]
Got 1,581 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                  | object                                 |
| ------------------------------------ | ------------------------- | -------------------------------------- |
| United States (wd:Q30)               | public holiday (wdt:P832) | New Year's Day (wd:Q196627)            |
| Russia (wd:Q159)                     | public holiday (wdt:P832) | Unity Day (wd:Q1355116)                |
| Japan (wd:Q17)                       | public holiday (wdt:P832) | Culture Day (wd:Q1009535)              |
| Italy (wd:Q38)                       | public holiday (wdt:P832) | Ferragosto (wd:Q1262719)               |
| France (wd:Q142)                     | public holiday (wdt:P832) | Assumption of Mary (wd:Q162691)        |
| Germany (wd:Q183)                    | public holiday (wdt:P832) | Second Day of Christmas (wd:Q15113728) |
| Finland (wd:Q33)                     | public holiday (wdt:P832) | Independence Day (wd:Q419595)          |
| India (wd:Q668)                      | public holiday (wdt:P832) | Republic Day (wd:Q1139536)             |
| People's Republic of China (wd:Q148) | public holiday (wdt:P832) | Youth Day (wd:Q10881633)               |
| Canada (wd:Q16)                      | public holiday (wdt:P832) | _:bn1302009                            |
| ...                                  | ...                       | ...                                    |

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject           | property                  | object                                 |
| ----------------- | ------------------------- | -------------------------------------- |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Christmas (wd:Q19809)                  |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | New Year (wd:Q34812)                   |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | International Workers' Day (wd:Q47499) |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Good Friday (wd:Q40317)                |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | All Saints' Day (wd:Q587)              |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Epiphany (wd:Q132001)                  |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Assumption of Mary (wd:Q162691)        |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Feast of the Ascension (wd:Q51638)     |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Feast of Corpus Christi (wd:Q152395)   |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Easter Monday (wd:Q209663)             |
| ...               | ...                       | ...                                    |

[Tool] Stopped generation process