PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?itemLabel ?lifespan WHERE {
  VALUES ?item {
    wd:Q174199 wd:Q36341
  }
  ?item wdt:P4214 ?lifespan .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY DESC ( ?lifespan )

Using entities:
common bottlenose dolphin (wd:Q174199), also known as Atlantic bottlenose dolphin, Bottle-Nosed Dolphin, bottlenose dolphin, Bottlenose dolphin, Tursiops truncatus
Ursus arctos (wd:Q36341), also known as brown bear, grizzly bear

Using properties:
longest observed lifespan (wd:P4214 as wdt), also known as highest observed lifespan, longest lifespan, maximum age, maximum life expectancy, maximum life span, etc.

Answer: I searched Wikidata for the two species (common bottlenose dolphin: wd:Q174199; brown bear / Ursus arctos: wd:Q36341) and for the property representing longest observed lifespan (P4214). I then queried both items for P4214. The query returns: common bottlenose dolphin — 51.6 years; brown bear (Ursus arctos) — 40 years. Therefore, the common bottlenose dolphin has the higher observed lifespan (51.6 years vs. 40 years).

Who has a higher observed lifespan out of the common bottlenose dolphin and 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 should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

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

[Assistant] I will first find the Wikidata items for the two species: "common bottlenose dolphin" and "brown bear". I'll search the knowledge graph for each entity to get the correct Q-ids. I'll start with "common bottlenose dolphin".

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

[Assistant] Now I'll search for the "brown bear" entity to get its Wikidata Q-id.

[Tool]
Top 10 entity alternatives:
1. Ursus arctos (wd:Q36341, matched via brown bear), also known as brown bear, grizzly bear: is instance of taxon / is subclass of bear / species of mammal / species of mammal / species of mammal / species of mammal
2. Brown Bear (wd:Q26318258), also known as Brown Bear Public House, Brown Bear, Whitechapel, The Brown Bear, Whitechapel: pub in Whitechapel, London / is instance of pub / pub in London, UK
3. Brown Bear (wd:Q124961726), also known as Beube: South Korean online streamer / is instance of human
4. The Brown Bear Public House (wd:Q17554255, matched via Brown Bear), also known as Brown Bear, The Brown Bear, Ware: pub in Braughing, Ware, UK / pub in Braughing, Ware, UK / is instance of pub
5. Brown bear (wd:Q57080481): sculpture by François Pompon on display at Musée de Grenoble / sculpture by François Pompon on display at Musée de Grenoble / is instance of sculpture
6. Brown Bear (wd:Q79684102), also known as The Brown Bear: pub in Berwick-Upon-Tweed, Northumberland, UK / pub in Berwick-Upon-Tweed, Northumberland, UK / is instance of pub
7. Brown bear (wd:Q117481410): sculpture by Georg Wrba in Tierpark Berlin, Germany / is instance of statue
8. brown bear (wd:Q113488817), also known as grizzly bear: fictional monster from Dungeons & Dragons / is subclass of monster / is subclass of bear
9. Brown Bear (wd:Q80476278), also known as Brown Bear, Devonport, Plymouth: pub in Plymouth, Devon, UK / pub in Plymouth, Devon, UK / is instance of pub
10. Ursus arctos arctos (wd:Q839769, matched via Common brown bear), also known as Common brown bear, Eurasian Brown Bear: subspecies of brown bear / is instance of taxon

[Assistant] I'll search for properties related to "observed lifespan" and "lifespan" in Wikidata to find the correct property for maximum or observed lifespan.

[Tool]
Top 10 property alternatives:
1. longest observed lifespan (wd:P4214 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as highest observed lifespan, longest lifespan, maximum age, maximum life expectancy, maximum life span, etc.: age of the oldest specimen of a taxon for which the age can be verified
2. life expectancy (wd:P2250 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via lifespan), also known as life span, lifespan, P2250: average life expectancy for this group or species / is subproperty of duration
3. shelf life (wd:P4218 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as expiration, expired by, expires in, unfit for use after, P4218: length of time that a commodity may be stored without becoming unfit for use or consumption
4. observed in (wd:P6531 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P6531: to be used as reference to location, condition, variant where upon the subject property object statement is based
5. religion or worldview (wd:P140 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via life stance), also known as belief system, believes, denomination, devotee of, faith, etc.: religion of a person, organisation or religious building, or associated with this subject / religion of a person, organisation or religious building, or associated with this subject / religion of a person, organization or religious building, or associated with this subject
6. mean lifetime (wd:P2645 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P2645: inverse of exponential decay rate; half-life is ln(2) times this value / is subproperty of duration
7. practiced by (wd:P3095 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via observed by), also known as associated with, done by, has practitioner, has proponent, implemented by, etc.: type of agents that study this religion or activity or work in this profession / type of agents that study this subject or work in this field
8. biological phase (wd:P4774 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via life cycle stage), also known as life cycle stage, life stage, P4774: biological period or stage when this biological process or phenomenon occurs
9. half-life (wd:P2114 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P2114: time required for the amount of something to fall to half its initial value / is subproperty of duration
10. state of transmission (wd:P12020 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via survival status), also known as state of preservation, survival status, P12020: state in which a work is transmitted or its existence; for the state of its material witnesses, use P5816

[Assistant] I'll run a SPARQL query to get the "longest observed lifespan" (property P4214) for both species (wd:Q174199 and wd:Q36341). This will tell us the observed lifespan values for each so we can compare them. Now I will execute that query.

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

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?airport ?airportLabel ?openingDate WHERE {
  BIND( wd:Q27706 AS ?airport ) .
  OPTIONAL {
    ?airport rdfs:label ?airportLabel .
    FILTER ( LANG( ?airportLabel ) = "en" )
  }
  OPTIONAL {
    ?airport wdt:P1619 ?openingDate .
  }
}

Using entities:
Hamburg Airport (wd:Q27706), also known as EDDH, HAM, Hamburg Airport “Helmut Schmidt”, Hamburg-Fuhlsbüttel Airport

Using properties:
date of official opening (wd:P1619 as wdt), also known as date of opening, date opened, grand opening, inaugurated, inauguration, etc.

Answer: The Wikidata entry for Hamburg Airport (wd:Q27706) gives its date of official opening (P1619) as 1912-01-01 (1 January 1912).

When was the Hamburg Airport inaugurated?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] When was the Hamburg Airport inaugurated?

[Assistant] I will search for the Wikidata item for "Hamburg Airport" and then query its inauguration (opening) date. I'll first search for the entity, then inspect relevant properties (inauguration/opening date), and finally run a SPARQL query to retrieve the date. I'll explain each step and show the intermediate queries.

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport (wd:Q27706), also known as EDDH, HAM, Hamburg Airport “Helmut Schmidt”, Hamburg-Fuhlsbüttel Airport: airport in Fuhlsbüttel, Hamburg, Germany / is instance of international airport / is instance of commercial airport
2. Hamburg Finkenwerder Airport (wd:Q663819), also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW: aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany / aircraft manufacturing plant and private airport in Germany / is instance of German special airfield / is instance of factory / is instance of Factory
3. Hamburg Airport station (wd:Q5644290): is instance of underground railway station / is instance of dead-end railway station / is instance of airport railway station / is instance of Bahnhof (station) / is instance of dead-end station / is instance of S-Bahn station / railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport (wd:Q34959585), also known as 4G2, Hamburg Inc Aerodrome: is instance of Aerodrome / is instance of aerodrome / is instance of airport
6. Hamburg : Airport (wd:Q104725193), also known as A9 n35_Sm2: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives
7. Novo Hamburgo Airport (wd:Q12694211), also known as SSNH: is instance of airport / airport in Brazil / airport in Brazil / Brazilian airport
8. Hamburg Airport S-Bahn line (wd:Q1430696): is instance of airport rail link / is instance of railway tunnel / is instance of railway line / railway line in Germany
9. Hamburg : Airport, individual (wd:Q104725196), also known as A9 n35_Sm2.II: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives
10. Hamburg : Airport, general (wd:Q104725195), also known as A9 n35_Sm2.I: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives

[Assistant] I'll check which properties on the Hamburg Airport item relate to dates like opening, inauguration, or inception. I'll search for properties on wd:Q27706 that mention "inaug" or "opening" or "inception".

[Tool]
Top 10 property alternatives:
1. date of official opening (wd:P1619 as p/wdt, matched via inaugurated), also known as date of opening, date opened, grand opening, inaugurated, inauguration, etc.: date or point in time a place, organization, or event officially opened / date or point in time an event, museum, theatre etc. officially opened / is subproperty of date of foundation or creation / is subproperty of start time / is subproperty of inception
2. inception (wd:P571 as p/wdt, matched via initiated), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
3. location (wd:P276 as p/wdt, matched via in), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
4. located in the administrative territorial entity (wd:P131 as p/wdt, matched via in), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
5. located in/on physical feature (wd:P706 as p/wdt, matched via on), also known as geographical region, is in, is on, landform, located on island, etc.: located on the specified landform or body of water. Should ... (provinces, states, countries, etc.). / located on the specified (geo)physical feature. Should not be ... political/administrative (P131) or a mountain range (P4552). / is subproperty of location / is subproperty of part of
6. industry (wd:P452 as p/wdt, matched via sector), also known as branch, economic branch, field of action, field of exercise, sector, etc.: specific industry of company or organization / is subproperty of part of
7. coordinate location (wd:P625 as p/wdt, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
8. logo image (wd:P154 as p/wdt, matched via insignia), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
9. instance of (wd:P31 as p/wdt, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. Instagram username (wd:P2003 as p/wdt, matched via igram), also known as https://www.instagram.com, IG account, IG profile, igram, IG username, etc.: is subproperty of website username or ID / item's username on Instagram / item's username on Instagram / item's username on Instagram

No other items found

[Assistant] Now I'll run a SPARQL query to fetch the "date of official opening" (P1619) for the Hamburg Airport item (wd:Q27706). I'll explain before and after the call.

[Tool]
Got 1 row and 3 columns:
| airport                     | airportLabel         | openingDate                         |
| --------------------------- | -------------------- | ----------------------------------- |
| Hamburg Airport (wd:Q27706) | Hamburg Airport (en) | 1912-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I will now provide the final SPARQL query (which I already executed to verify the result) and the answer based on its result. Below I summarize the steps I took and the result, then submit the final query and answer. After this call I will finish.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?series ?seriesLabel ?start WHERE {
  ?series wdt:P161 wd:Q23760 ; wdt:P2437 ?seasons ; wdt:P580 ?start .
  FILTER ( ?seasons = 4 ) FILTER ( YEAR( ?start ) = 1983 ) OPTIONAL {
    ?series rdfs:label ?seriesLabel FILTER ( LANG( ?seriesLabel ) = "en" )
  }
}

Using entities:
Rowan Atkinson (wd:Q23760), also known as Rowan Sebastian Atkinson

Using properties:
cast member (wd:P161 as wdt), also known as actor, actress, contestant of a play, feat., film starring, etc.
number of seasons (wd:P2437 as wdt), also known as no. of seasons, no. of series, number of series, seasons, P2437
start time (wd:P580 as wdt), also known as began, beginning, building date, effective, effectivity, etc.

Answer: The TV show is Blackadder (wd:Q49019). It has 4 seasons and its start date is 1983-06-15.

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

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What is the TV-show that starred Rowan Atkinson , had 4 seasons and started in 1983?

[Assistant] I will first locate the Wikidata item for Rowan Atkinson, then search for TV shows that have him as a cast member. I'll query for properties representing "number of seasons" and "start date" (or "publication date"/"first broadcast") to filter shows to those that started in 1983 and have 4 seasons. I'll begin by finding Rowan Atkinson's entity. I'll run a search for his name.

[Tool]
Top 10 entity alternatives:
1. Rowan Atkinson (wd:Q23760), also known as Rowan Sebastian Atkinson: English actor, comedian, and screenwriter / has occupation electrical engineer / has occupation television director / has occupation television actor / has occupation film producer / has occupation Film producer / has occupation screenwriter / has occupation manufacturer / has occupation voice actor / has occupation stage actor / has occupation film actor / has occupation comedian / has occupation actor / is instance of human
2. Rowan Atkinson Live (wd:Q9322991): is instance of film / 1992 film
3. Hubert Rowan Atkinson (wd:Q75293963), also known as Hon. Hubert Rowan Atkinson: is instance of human / (born 1882)
4. Archibald Rowan-Hamilton (wd:Q75356076, matched via Archibald Rowan Rowan-Hamilton), also known as Archibald Rowan Rowan-Hamilton: is instance of human / (born 1818)
5. Sidney Rowan Rowan-Hamilton (wd:Q75805113), also known as Sidney Augustus Rowan Rowan-Hamilton: is instance of human / (1846-1868)
6. George Rowan-Hamilton (wd:Q75805049, matched via George Rowan Rowan-Hamilton), also known as George Rowan Rowan-Hamilton: is instance of human / (1822-1902)
7. Sorbus (wd:Q157964, matched via rowan), also known as rowan: is instance of taxon / is subclass of tree / genus of plants
8. Sorbus aucuparia (wd:Q146198, matched via European rowan), also known as European mountain-ash, European rowan, rowan, rowan-berry: is subclass of useful plant / is instance of taxon / species of plant
9. Atkinson County (wd:Q488194), also known as Atkinson County, GA, Atkinson County, Georgia: is instance of county of Georgia / county in Georgia, United States
10. Rowan County (wd:Q507966), also known as Rowan County, NC, Rowan County, North Carolina: is instance of county of North Carolina / county in North Carolina, United States

[Assistant] I'll search for the property corresponding to "number of seasons" on Wikidata to use it in the query.

[Tool]
Top 10 property alternatives:
1. number of seasons (wd:P2437 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as no. of seasons, no. of series, number of series, seasons, P2437: number of seasons a television or radio series has had / number of series a television or radio show has had / is subproperty of number of parts of a work of art / is subproperty of number of parts of this work
2. number of episodes (wd:P1113 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via no. of episodes), also known as episode count, episodes, no. of episodes, series length, P1113: is subproperty of number of parts of a work of art / is subproperty of number of parts of this work / number of episodes in a film/TV/radio series / number of episodes in a film/TV/radio series / number of episodes in a film/TV/radio series
3. volume (wd:P478 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via number of series), also known as numbering in series, numbering of part, numbering of volume, number of part, number of series, etc.: volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication / volume of a book in a collection/series, for reference
4. number of representations (wd:P5027 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via no. of shows), also known as concerts, no. of shows, number of concerts, number of performances, number of shows, etc.: number of shows (including the premiere) of a concert tour or a performing arts production
5. season (wd:P4908 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via television season), also known as series of television program, television season, television series, TV season, TV series, etc.: season of a series (televison, web, podcast) / Series of a television show / is subproperty of part of
6. number of parts of this work (wd:P2635 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via number of segments of anthology film), also known as acts count, acts number, acts quantity, chapter count, chapters quantity, etc.: the number of parts that a work of art consists of / the number of parts that a work comprises
7. number of seats (wd:P1342 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as membership quantity, number of seats (members), quantity of members, seats (members), P1342: total number of seats/members in an assembly (legislative house or similar) / number of seats/members in an assembly (legislative house or similar)
8. number of seats in assembly (wd:P1410 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via number of seats), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
9. maximum capacity (wd:P1083 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via number of seats), also known as capacity, complement, crew, number of seats, seating capacity, etc.: number of people allowed for a venue or vehicle / number of people allowed for a venue or vehicle
10. Douban film ID (wd:P4529 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via Douban television series season ID), also known as Douban Film ID, Douban ID, Douban Movie ID, Douban season ID, Douban Subject ID, etc.: identifier for a film (movie) at the website Douban

[Assistant] I'll search for TV shows where Rowan Atkinson is part of the cast. To do that I'll look for items where "cast member" or "performer" includes Rowan Atkinson. Common property: cast member (wdt:P161) or participant (wdt:P710) or star (wdt:P175?). I'll search for properties of his entity related to television shows to find works he's been in.

[Tool]
Top 10 property alternatives:
1. unmarried partner (wd:P451 as p/wdt, matched via lover), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.: someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / is subproperty of significant person
2. name (wd:P2561 as p/wdt, matched via aka), also known as aka, also known as, be known as, be referred as, known as, etc.: name the subject is known by; preferably use a more specific subproperty if available
3. birth name (wd:P1477 as p/wdt, matched via né), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name
4. topic's main category (wd:P910 as p/wdt, matched via maincat), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
5. Open Library ID (wd:P648 as p/wdtn/wdt, matched via OLID), also known as OL ID, OLID, Open Library author ID, OpenLibrary author ID, Open Library book ID, etc.: identifier in "the Internet Archive" for information about a work ("W"), edition ("M") or author ("A") of a book / identifier for a work ("W"), edition ("M") or author ("A") for book data of the Internet Archive
6. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
7. image (wd:P18 as p/wdt, matched via portrait), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
8. FilmTv.it person ID (wd:P5254 as p/wdt, matched via FilmTv person identifier), also known as FilmTv.it person identifier, FilmTv person ID, FilmTv person identifier, P5254: identifier for a person at FilmTv.it
9. award received (wd:P166 as p/wdt, matched via win), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
10. AdoroCinema person ID (wd:P10266 as p/wdt), also known as AdoroCinema ID, AdoroCinema identifier, AdoroCinema person identifier, P10266: identifier for a person in AdoroCinema database / identifier for a person in AdoroCinema database / identifier for a person in AdoroCinema database

No other items found

[Assistant] I'll look for triples where Rowan Atkinson is used as a cast member (property P161) to find TV shows he starred in.

[Tool]
Got 46 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property               | object                     |
| --------------------------------------- | ---------------------- | -------------------------- |
| Wonka (wd:Q108456719)                   | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Scooby-Doo (wd:Q110314472)              | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Maigret in Montmartre (wd:Q110740058)   | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Maigret's Dead Man (wd:Q110740256)      | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Night at the Crossroads (wd:Q110746020) | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Man vs. Bee (wd:Q112078154)             | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Rat Race (wd:Q1140605)                  | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Live! From London (wd:Q133520495)       | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| The Witches (wd:Q1616747)               | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| Never Say Never Again (wd:Q180279)      | cast member (wdt:P161) | Rowan Atkinson (wd:Q23760) |
| ...                                     | ...                    | ...                        |

[Assistant] I will search for the TV show "Blackadder" and verify its start date and number of seasons.

[Tool]
Top 10 entity alternatives:
1. Blackadder (wd:Q49019): British television comedy series, 1983–89 / is instance of television series / is instance of serial
2. Blackadder Water (wd:Q2769233, matched via Blackadder), also known as Blackadder: river in Scottish Borders, Scotland, UK, tributary of Whiteadder Water / river in the United Kingdom / river in the United Kingdom / is instance of river
3. Blackadder (wd:Q22812450): is instance of family name / is instance of surname / family name / family name / surname
4. Blackadder (wd:Q4922510): village in Scottish Borders, Scotland, UK / is instance of village
5. Blackadder (wd:Q4922515): is instance of ship / clipper ship
6. Blackadder (wd:Q4922518): independent bottler of Scotch whisky / is instance of business
7. Blackadder (wd:Q52353058), also known as IMO 9259587: is instance of ship / tug built in 2002
8. Elizabeth Blackadder (wd:Q5362425), also known as Dame Elizabeth Blackadder, Elizabeth V. Blackadder, Elizabeth Violet Blackadder, John, Mrs., Houston: has occupation watercolourist / has occupation watercolorist / has occupation lithographer / has occupation printmaker / has occupation painter / is instance of human / Scottish artist
9. Blackadder II (wd:Q2668056): second series of the BBC sitcom Blackadder / is instance of television series season / is instance of television series / is instance of serial / is instance of series
10. Edmund Blackadder (wd:Q942939), also known as Edmund III: is instance of fictional human / fictional character

[Assistant] I'll check Blackadder's properties for start date and number of seasons. First I'll list triples for the Blackadder item to find those properties.

[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) | Freebase ID (wdt:P646)       | /m/01d25                                            |
| Blackadder (wd:Q49019) | VIAF cluster ID (wdtn:P214)  | <http://viaf.org/viaf/185869908>                    |
| Blackadder (wd:Q49019) | has part(s) (wdt:P527)       | Blackadder the Third (wd:Q1887578)                  |
| Blackadder (wd:Q49019) | GND ID (wdtn:P227)           | <https://d-nb.info/gnd/7749078-2>                   |
| 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)             | alternate history television series (wd:Q112254601) |
| Blackadder (wd:Q49019) | cast member (wdt:P161)       | Rowan Atkinson (wd:Q23760)                          |
| ...                    | ...                          | ...                                                 |

[Assistant] I will find the "number of seasons" (P2437) and "start time" (P580) or "publication date" (P577) or "original network's first broadcast date" (P) used for TV shows. I'll search for P2437 and P580 on the item.

[Tool]
Got 1 row and 3 columns:
| subject                | property                      | object          |
| ---------------------- | ----------------------------- | --------------- |
| Blackadder (wd:Q49019) | number of seasons (wdt:P2437) | 4 (xsd:decimal) |

[Assistant] Number of seasons is 4. Now find start date. TV shows often have "original network" with "start time" qualifiers, but the item might have "original release" or "publication date" (P577) or "start time" (P580) as properties. I'll search for properties related to start or first broadcast.

[Tool]
Top 10 property alternatives:
1. ComingSoon.it TV program ID (wd:P11872 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via ComingSoon.it television show ID), also known as ComingSoon.it television program ID, ComingSoon.it television programme ID, ComingSoon.it television show ID, ComingSoon.it TV programme ID, ComingSoon.it TV show ID, etc.: identifier for a TV program on ComingSoon.it
2. ComingSoon.it TV series ID (wd:P11871 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via ComingSoon.it television show ID), also known as ComingSoon.it series ID, ComingSoon.it television series ID, ComingSoon.it television show ID, ComingSoon.it TV-series ID, ComingSoon.it TV show ID, etc.: identifier for a TV series on ComingSoon.it
3. FilmTv.it TV series ID (wd:P5255 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as FilmTv.it TV identifier, P5255: identifier for a TV serie at FilmTv.it
4. season (wd:P4908 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via television season), also known as series of television program, television season, television series, TV season, TV series, etc.: season of a series (televison, web, podcast) / Series of a television show / is subproperty of part of
5. Television Academy Foundation show ID (wd:P5829 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as The Interviews title ID, P5829: identifier for a television show discussed on the Television Academy Foundation's The Interviews website
6. Unconsenting Media ID (wd:P9821 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via Unconsenting Media television show ID), also known as UM ID, UM identifier, Unconsenting Media book ID, Unconsenting Media book identifier, Unconsenting Media film ID, etc.: identifier for a film, television show, or literary work in ... about rape and sexual assault in TV, movies, and books
7. la Repubblica TV series ID (wd:P12159 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via la Repubblica television series ID), also known as la Repubblica series ID, la Repubblica television series ID, Repubblica.it series ID, Repubblica.it television series ID, Repubblica.it TV series ID, etc.: identifier for a TV series on Repubblica.it
8. FilmTv.it movie ID (wd:P5253 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via FilmTv.it identifier), also known as FilmTv ID, FilmTv identifier, FilmTv.it ID, FilmTv.it identifier, FilmTv movie ID, etc.: identifier for a movie at FilmTv.it / identifier for a movie at FilmTv.it / identifier for a movie at FilmTv.it
9. MovieMeter TV season ID (wd:P10495 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P10495: identifier for a television series season in the MovieMeter database
10. TV Guide show ID (former scheme) (wd:P3804 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as tvguide.com show ID, P3804: ID of a television program at TV Guide

[Assistant] I'll inspect all properties for Blackadder to find any date-related properties like "publication date" (P577), "start time" (P580), "original release date" (maybe P577). I already listed triples; I'll search within them for dates. But easier: query the item's triples for any property with a literal of type xsd:dateTime or with year 1983. I'll run a SPARQL query to get date properties for Blackadder.

[Tool]
Got 42 rows and 3 columns, showing the first 5 and last 5 rows below:
| prop      | propLabel                  | value                    |
| --------- | -------------------------- | ------------------------ |
| wd:P10356 | TV3 show ID (en)           | lescurco-negre           |
| wd:P1113  | number of episodes (en)    | 27 (xsd:decimal)         |
| wd:P11137 | Reddit topic ID (en)       | blackadder               |
| wd:P11460 | Plex media key (en)        | 5d9c07ef2df347001e3a6a60 |
| wd:P12096 | Kinobox film ID (en)       | 152892                   |
| ...       | ...                        | ...                      |
| wd:P6839  | TV Tropes ID (en)          | Series/Blackadder        |
| wd:P8013  | Trakt.tv ID (en)           | shows/blackadder         |
| wd:P827   | BBC programme ID (en)      | b006xxw3                 |
| wd:P905   | PORT film ID (en)          | 68324                    |
| wd:P9821  | Unconsenting Media ID (en) | 3219                     |

[Tool]
Got 1 row and 3 columns:
| p                     | pLabel          | value                               |
| --------------------- | --------------- | ----------------------------------- |
| start time (wdt:P580) | start time (en) | 1983-06-15T00:00:00Z (xsd:dateTime) |

[Assistant] The Blackadder series has number of seasons = 4 and start time 1983-06-15, and includes Rowan Atkinson as cast member. That fits the user's query: TV show that starred Rowan Atkinson, had 4 seasons and started in 1983. I'll prepare a SPARQL SELECT query that finds TV series with cast member Rowan Atkinson (wd:Q23760), number of seasons 4 (wdt:P2437 = 4), and start time in 1983 (year of wdt:P580 = 1983). The query should return item IRI and optionally label. I'll construct the query and execute it to verify it returns Blackadder (wd:Q49019). I must explain thought process before and after function call. Now I'll build and execute the final SPARQL query.

[Tool]
Got 1 row and 3 columns:
| series                 | seriesLabel     | start                               |
| ---------------------- | --------------- | ----------------------------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 1983-06-15T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned Blackadder (wd:Q49019), which matches the conditions. I'll now provide the final SPARQL query and the answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?album ) AS ?count ) WHERE {
  ?album wdt:P175 wd:Q1744 .
  ?album wdt:P31 / wdt:P279 * wd:Q482994 .
}

Using entities:
Madonna (wd:Q1744), also known as Madonna Ciccone, Madonna L. Ciccone, Madonna Louise Ciccone, Madonna Louise Veronica Ciccone
album (wd:Q482994), also known as audio album, full album, full-length album, music album, record album

Using properties:
performer (wd:P175 as wdt), also known as actor, actress, artist, dancer, musical artist, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1 row and 1 column:
| count        |
| ------------ |
| 60 (xsd:int) |

Answer: Madonna performs on 60 albums.

On how many albums does Madonna perform?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] On how many albums does Madonna perform?

[Assistant] Step 1: I'll search for the Madonna entity in Wikidata to get its identifier and confirm it's the right person (Madonna Louise Ciccone). I'll use a search for "Madonna". I'll run an entity search now.

[Tool]
Top 10 entity alternatives:
1. Madonna (wd:Q1744), also known as Madonna Ciccone, Madonna L. Ciccone, Madonna Louise Ciccone, Madonna Louise Veronica Ciccone: American singer, songwriter, and actress (born 1958) / American singer, songwriter and actress (born 1958) / has occupation songwriter / has occupation singer / has occupation actor / is instance of human
2. Mary (wd:Q345, matched via Madonna), also known as Blessed Mother, Blessed Virgin, Blessed Virgin Mary, God-Bearer, Holy Mary, etc.: religious figure; mother of Jesus of Nazareth / is instance of human biblical character / is instance of human biblical figure / mother of Jesus
3. Madonna (wd:Q177943), also known as Madonna: The First Album: 1983 self-titled debut studio album by Madonna / is instance of album
4. Madonna (wd:Q1989780): painting composition by Edvard Munch, in different versions / is instance of painting series
5. Madonna (wd:Q926743), also known as Madonna in art, The Madonna in art, Virgin Mary in art: artistic representation of Mary, either alone or with her child Jesus / is subclass of religious work of art / is instance of artistic theme
6. Madonna (wd:Q19794647): 2015 South Korean film directed by Shin Su-won / is instance of film
7. Madonna (wd:Q1147459): album by …And You Will Know Us by the Trail of Dead / is instance of album
8. Virgin and Child with an Angel (Madonna del Latte) (wd:Q3842618, matched via Madonna), also known as Madonna, Madonna with child and John the Baptist: painting by Antonio da Correggio from 1520 / painting by Antonio da Correggio / is instance of painting
9. Madonna (wd:Q6728358), also known as Madonna, Maryland, Madonna, MD: is instance of unincorporated community in the United States / unincorporated community in Harford County, Maryland
10. Madonna (wd:Q486604): is instance of extended play / 2010 EP by Secret

[Assistant] Step 2: I will search for properties that represent "performer" or "performing artist" to find how albums record performers (to be sure P175 is the right property). I'll call search_property for "performer".

[Tool]
Top 10 property alternatives:
1. performer (wd:P175 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
2. character role (wd:P453 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via performer of), also known as acting role, as, performer of, plays, role, etc.: specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725) / specific role played or filled by subject (use only as qualifier of P161 or P725)
3. creator (wd:P170 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via artist (non-musical)), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of a creative work or other object (where no more specific property exists)
4. lyricist (wd:P676 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via songwriter), also known as author, lyrics by, songwriter, text author, text by, etc.: author of song lyrics; also use P86 for music composer / is subproperty of author / author of song lyrics
5. composer (wd:P86 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via songwriter), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
6. cover art by (wd:P736 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via artist), also known as album art by, album artwork by, album artwork designed by, album artwork designer, artist, etc.: name of person or team creating cover artwork for book, record album, single record etc.
7. cast member (wd:P161 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as actor, actress, contestant of a play, feat., film starring, etc.: actor in the subject production [use "character role" (P453) ... "recorded participant" (P11108) for non-fiction productions] / actor in the subject production [use "character role" (P453) ... as qualifiers] [use "voice actor" (P725) for voice-only role] / actor performing live for a camera or audience [use ... as qualifier] [use "voice actor" (P725) for voice-only role] / is subproperty of significant person / is subproperty of performer
8. producer (wd:P162 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via music producer), also known as creative producer, film producer, musical producer, music producer, produced by, etc.: person(s) who produced the film, musical work, theatrical ... [for production company, use P272, video games - use P178] / producer(s) of this film or music work (film: not executive producers, associate producers, etc.)
9. playDB artist ID (wd:P9172 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via playDB artist identifier), also known as playDB artist identifier, P9172: identifier for music artists in playDB
10. exhibited creator (wd:P10661 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via exhibited artist), also known as artist exhibited, exhibited artist, P10661: intellectual or creative entity (person or organization) responsible for the elements exhibited / is subproperty of creator

[Assistant]
I will run a SPARQL query on Wikidata for items where Madonna (wd:Q1744) is listed as performer (wdt:P175) and the item is an album (instance of (P31) some class that is a subclass of album (Q482994)). I'll count distinct albums.

SPARQL I'll run:
SELECT (COUNT(DISTINCT ?album) AS ?count) WHERE {
  ?album wdt:P175 wd:Q1744 .
  ?album wdt:P31/wdt:P279* wd:Q482994 .
}

Now I'll execute this query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 60 (xsd:int) |

[Assistant] I'll now provide the final SPARQL query (same as I executed) and the answer. I already ran this query and verified it returns the expected result (count = 60). I'll send it as the final query to be executed and give the numeric answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?club ?clubLabel ?inception WHERE {
  VALUES ?club {
    wd:Q800176
  }
  ?club wdt:P571 ?inception .
  OPTIONAL {
    ?club rdfs:label ?clubLabel .
    FILTER ( LANG( ?clubLabel ) = "en" )
  }
}

Using entities:
Birdland (wd:Q800176)

Using properties:
inception (wd:P571 as wdt), also known as broke ground, built, commenced on date, commencement date, completed, etc.

Answer: Birdland (jazz club in Hamburg) was founded (inception) in 1985-01-01.

When was the jazz club Birdland in Hamburg founded?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] When was the jazz club Birdland in Hamburg founded?

[Assistant] I will search Wikidata for the entity corresponding to the jazz club "Birdland" in Hamburg, then look up its founding date (property P571 or possibly inception). I'll first search for entities matching "Birdland Hamburg".

[Tool]
Top 10 entity alternatives:
1. Hamburg (wd:Q1055), also known as Free and Hanseatic City of Hamburg, Hamburg, Freie und Hansestadt, Hamburg, Germany: is instance of urban municipality in Germany / is instance of Lists of former Hansa cities / is instance of Einheitsgemeinde of Germany / is instance of federated state of Germany / is instance of urban district of Hamburg / is instance of federal state of Germany / city and state in the North of Germany / is instance of free imperial city / is instance of Free imperial city / city and federal state in Germany / is instance of Hanseatic city / is instance of Metropolis / is instance of metropolis / is instance of city-state / is instance of port city / is instance of big city
2. Hamburger SV (wd:Q51974, matched via Hamburg), also known as Hamburg, Hamburger, Hamburger Sport-Verein, Hamburger S.V., HamburgerSV, etc.: German sports club based in Hamburg, with its largest branch being its football department / German professional sport club based in Hamburg, founded in 1887 / German professional sport club based in Hamburg, founded in 1887 / is instance of association football club / is instance of soccer club / is instance of sports club / is instance of sport club
3. University of Hamburg (wd:Q156725, matched via Hamburg University), also known as Hamburg University, Universität Hamburg: is instance of comprehensive university / is instance of University of Excellence / is instance of public university / university in Hamburg, Germany
4. Volksparkstadion (wd:Q150933, matched via Hamburg Stadium), also known as FIFA World Cup Stadium, Hamburg, Hamburg Stadium, Hamburg SV Stadium, HSV Stadium, People's Park Stadium, etc.: is instance of association football venue / football stadium in Hamburg, Germany / is instance of stadium
5. Hamburg Airport (wd:Q27706), also known as EDDH, HAM, Hamburg Airport “Helmut Schmidt”, Hamburg-Fuhlsbüttel Airport: airport in Fuhlsbüttel, Hamburg, Germany / is instance of international airport / is instance of commercial airport
6. Caldwell (wd:Q849592, matched via Hamburg Siding), also known as Caldwell, ID, Caldwell, Idaho, Hamburg Siding: city in and county seat of Canyon County, Idaho, United States / is instance of city of the United States / is instance of city in the United States / is instance of county seat
7. Elbphilharmonie (wd:Q673223, matched via Elbphilharmonie Hamburg), also known as Elbphilharmonie Hamburg, Elphi, Kaispeicher A: is instance of former warehouse / is instance of concert hall / is instance of hotel / concert hall
8. Hamburg (wd:Q1005682), also known as Hamburg, Minnesota, Hamburg, MN: city in Carver County, Minnesota, United States / is instance of city in the United States / is instance of city of the United States
9. Hamburg (wd:Q998718), also known as Hamburg, IA, Hamburg, Iowa: city in Fremont County, Iowa, United States / city in Fremont County, Iowa, United States / is instance of city of the United States / is instance of city in the United States
10. Hamburg (wd:Q79657), also known as Hamburg, AR, Hamburg, Arkansas: city in Ashley County, Arkansas, United States / is instance of city of the United States / is instance of city in the United States

[Tool]
Top 10 entity alternatives:
1. Hamburg (wd:Q1055), also known as Free and Hanseatic City of Hamburg, Hamburg, Freie und Hansestadt, Hamburg, Germany: is instance of urban municipality in Germany / is instance of Lists of former Hansa cities / is instance of Einheitsgemeinde of Germany / is instance of federated state of Germany / is instance of urban district of Hamburg / is instance of federal state of Germany / city and state in the North of Germany / is instance of Free imperial city / is instance of free imperial city / city and federal state in Germany / is instance of Hanseatic city / is instance of city-state / is instance of Metropolis / is instance of metropolis / is instance of port city / is instance of big city
2. Hamburger SV (wd:Q51974, matched via Hamburg), also known as Hamburg, Hamburger, Hamburger Sport-Verein, Hamburger S.V., HamburgerSV, etc.: German sports club based in Hamburg, with its largest branch being its football department / German professional sport club based in Hamburg, founded in 1887 / German professional sport club based in Hamburg, founded in 1887 / is instance of association football club / is instance of soccer club / is instance of sports club / is instance of sport club
3. University of Hamburg (wd:Q156725), also known as Hamburg University, Universität Hamburg: is instance of comprehensive university / is instance of University of Excellence / is instance of public university / university in Hamburg, Germany
4. Volksparkstadion (wd:Q150933, matched via Hamburg Stadium), also known as FIFA World Cup Stadium, Hamburg, Hamburg Stadium, Hamburg SV Stadium, HSV Stadium, People's Park Stadium, etc.: is instance of association football venue / football stadium in Hamburg, Germany / is instance of stadium
5. Hamburg Airport (wd:Q27706), also known as EDDH, HAM, Hamburg Airport “Helmut Schmidt”, Hamburg-Fuhlsbüttel Airport: airport in Fuhlsbüttel, Hamburg, Germany / is instance of international airport / is instance of commercial airport
6. Caldwell (wd:Q849592, matched via Hamburg Siding), also known as Caldwell, ID, Caldwell, Idaho, Hamburg Siding: city in and county seat of Canyon County, Idaho, United States / is instance of city of the United States / is instance of city in the United States / is instance of county seat
7. Reinbek (wd:Q516405, matched via Reinbek bei Hamburg), also known as Reinbek bei Hamburg: town in Stormarn district, Schleswig-Holstein, Germany / is instance of urban municipality in Germany
8. Elbphilharmonie (wd:Q673223, matched via Elbphilharmonie Hamburg), also known as Elbphilharmonie Hamburg, Elphi, Kaispeicher A: is instance of former warehouse / is instance of concert hall / is instance of hotel / concert hall
9. Hamburg (wd:Q1005682), also known as Hamburg, Minnesota, Hamburg, MN: city in Carver County, Minnesota, United States / is instance of city in the United States / is instance of city of the United States
10. Hamburg (wd:Q998718), also known as Hamburg, IA, Hamburg, Iowa: city in Fremont County, Iowa, United States / city in Fremont County, Iowa, United States / is instance of city of the United States / is instance of city in the United States

[Tool]
Top 10 entity alternatives:
1. Oriole Park at Camden Yards (wd:Q1141174, matched via Birdland), also known as Birdland, Camden Yards, The House that Cal Built, The Yard: baseball stadium in Baltimore, Maryland / is instance of stadium
2. Birdland (wd:Q256347): is instance of music venue / is instance of jazz club / New York City jazz club
3. Birdland (wd:Q2904435): album by The Yardbirds / is instance of album
4. Birdland (wd:Q784489): is instance of musical work/composition / song
5. Birdland (wd:Q800176): is instance of jazz club / jazz club in Hamburg
6. Birdland (wd:Q11854283): is instance of comics
7. Oliver Ho (wd:Q1722141, matched via Birdland), also known as Birdland, Broken English Club, Id, Life, Raudive, etc.: British DJ and electronic music producer / has occupation disc jockey / has occupation DJ producer / is instance of human / has occupation DJ
8. Birdland (wd:Q4916004), also known as Birdland, San Diego: neighborhood of San Diego, California, United States / is instance of neighbourhood / is instance of neighborhood
9. Birdland (wd:Q55652970): 2018 film directed by Peter Lynch / is instance of film
10. Birdland (wd:Q118874583): 1963 single by Chubby Checker

[Assistant] I will retrieve triples for the entity wd:Q800176 (Birdland, jazz club in Hamburg) to find a founding/inception property. I'll list triples with that subject.

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

[Assistant] I will run a SPARQL query that retrieves the inception (founding) date (wdt:P571) for the Birdland jazz club in Hamburg (wd:Q800176). I'll include an optional rdfs:label in English for readability. Then I'll execute the query to verify the result.

[Tool]
Got 1 row and 3 columns:
| club                  | clubLabel     | inception                           |
| --------------------- | ------------- | ----------------------------------- |
| Birdland (wd:Q800176) | Birdland (en) | 1985-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned inception 1985-01-01. Now I'll finalize by providing the SPARQL query and the answer. According to the rules, I must explain my thought process before and after each step and function call — I have been doing so. I will now call the answer function with the final SPARQL query and the answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?author ?authorLabel ?authorName WHERE {
  {
    wd:Q44649835 wdt:P50 ?author .
    OPTIONAL {
      ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
    }
  } UNION {
    wd:Q44649835 wdt:P2093 ?authorName .
  }
}
ORDER BY ?authorLabel ?authorName

Using entities:
Prototypical Networks for Few-shot Learning (wd:Q44649835)

Using properties:
author name string (wd:P2093 as wdt), also known as author indicated as, author named as, author string, byline, creator indicated as, etc.
author (wd:P50 as wdt), also known as co-author, creator, maker, playwright, poet, etc.

Answer: The authors of "Prototypical Networks for Few-shot Learning" are: Jake Snell; Kevin Swersky; and Richard S. Zemel (Richard S. Zemel: wd:Q26702597).

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

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who wrote "Prototypical Networks for Few-shot Learning"?

[Assistant]
I'll first search Wikidata for the publication "Prototypical Networks for Few-shot Learning" to find its item identifier. Then I'll look up the author(s) property for that item and build a SPARQL query returning the author IRIs (and optionally labels). I'll execute the query to verify results.

I'll start by searching for the entity.

[Tool]
Top 10 entity alternatives:
1. Prototypical Networks for Few-shot Learning (wd:Q44649835): scientific article published in January 2017 / scientific article published in January 2017 / scientific article published in January 2017 / is instance of scholarly article / is instance of academic article
2. Hybrid Graph Neural Networks for Few-Shot Learning (wd:Q114887023): scientific article published on 28 June 2022 / scientific article published on 28 June 2022 / scientific article published in 2022 / is instance of scholarly article / is instance of academic article
3. Differential learning for learning networks (wd:Q123992464): is instance of United States patent / US patent 11468327
4. Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks (wd:Q130987343): scientific article published on 12 October 2020 / is instance of scholarly article / is instance of academic article
5. Facial Skin Type Analysis Using Few-shot Learning with Prototypical Networks (wd:Q129793741): scholarly article published on 31 December 2023 / is instance of scholarly article / is instance of academic article
6. Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning (wd:Q114955057): scientific article published on 10 June 2022 / scientific article published on 10 June 2022 / scientific article published in 2022 / is instance of scholarly article / is instance of academic article
7. Ontology-enhanced Prompt-tuning for Few-shot Learning (wd:Q130856536): scientific article published on 25 April 2022 / is instance of scholarly article / is instance of academic article
8. Asynchronous Learning Networks for Knowledge Workforce Learning (wd:Q128185961): is instance of scholarly article / is instance of academic article / scholarly article
9. Information Maximization for Few-Shot Learning (wd:Q104090143): scientific article published in November 2020 / scientific article published in November 2020 / scientific article published in November 2020 / is instance of scholarly article / is instance of academic article
10. Networks for learning lightness algorithms (wd:Q114953424): scientific article published in January 1988 / scientific article published in January 1988 / scientific article published in 1988 / is instance of scholarly article / is instance of academic article

[Assistant] Next I'll query the Wikidata item wd:Q44649835 for its P50 (author) statements, requesting the author IRIs and their English labels. I'll run a SPARQL SELECT query to get those.

[Tool]
Got 1 row and 2 columns:
| author                          | authorLabel           |
| ------------------------------- | --------------------- |
| Richard S. Zemel (wd:Q26702597) | Richard S. Zemel (en) |

[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 online at (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>     |
| ...                                                        | ...                                      | ...                                                                                |

[Assistant] I'll run a SPARQL query that returns both linked author items (wdt:P50) and author name strings (wdt:P2093) for wd:Q44649835 so I can list all authors and include item IRIs where available.

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

[Assistant] I'll run a final SPARQL SELECT that retrieves linked authors (wdt:P50) and author name strings (wdt:P2093) for the Wikidata item for the paper (wd:Q44649835). This will return IRIs for any authors that have Wikidata items and also return plain author name strings for authors that are not linked. Then I'll provide the list of authors found. Now I'll execute the final query.

[Tool] Stopping