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

The Hamburg Airport was inaugurated in the year 1912.

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

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

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

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

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

[User] When was the Hamburg Airport inaugurated?

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] There are no similar examples found for this question. Next, I will search for the entity "Hamburg Airport" in Wikidata to identify its QID.

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

[Assistant] The Hamburg Airport is identified as wd:Q27706 in Wikidata. Now I will search for properties related to inauguration or opening date for this entity.

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as p/wdt): date or point in time a place, organization, or event officially opened, start time, inception
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
4. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant] The property "date of official opening" (wdt:P1619) seems to be the most appropriate to find the inauguration date of Hamburg Airport. I will now query the date of official opening for the entity Hamburg Airport (wd:Q27706).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property 'date of official opening' (wdt:P1619) for the Hamburg Airport (wd:Q27706) and retrieves the inauguration year 1912. The answer is accurate and complete based on the data from Wikidata. The query follows the rules by returning the identifier and the date value. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?tvShow ?tvShowLabel ?numberOfSeasons WHERE {
  ?tvShow wdt:P31 wd:Q5398426 .
  ?tvShow wdt:P161 wd:Q23760 .
  ?tvShow wdt:P580 ?startDate .
  ?tvShow wdt:P2437 ?numberOfSeasons .
  FILTER ( YEAR( ?startDate ) = 1983 && ?numberOfSeasons = 4 ) OPTIONAL {
    ?tvShow rdfs:label ?tvShowLabel FILTER ( LANG( ?tvShowLabel ) = "en" )
  }
}

Got 1 row and 3 columns:
| tvShow                 | tvShowLabel     | numberOfSeasons |
| ---------------------- | --------------- | --------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 4 (xsd:decimal) |

The TV show that starred Rowan Atkinson, started in 1983, and had 4 seasons is "Blackadder" (wd:Q49019).

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

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

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

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

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

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

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Which television shows were created by John Cleese?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q5398426 .
  {
    ?uri wdt:P170 wd:Q25014 .
  } UNION {
    ?uri wdt:P170 / wdt:P527 wd:Q25014 .
  }
}

Using entities:
John Cleese, also known as John Marwood Cleese (wd:Q25014): English comedian and actor (born 1939), television actor, autobiographer, film producer, film director, screenwriter, stage actor, voice actor, film actor, comedian, writer, actor
television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

[Assistant]
The example shows how to find television shows related to a person using the property "instance of" (P31) for TV shows and the property "cast member" (P161) or "creator" (P170) for people involved. For our question, we want to find a TV show that starred Rowan Atkinson, had 4 seasons, and started in 1983.

Step 1: Identify Rowan Atkinson entity in Wikidata.
Step 2: Find TV shows (instance of TV show) where Rowan Atkinson is a cast member.
Step 3: Filter TV shows that started in 1983.
Step 4: Filter TV shows that had 4 seasons.

I will start by searching for Rowan Atkinson entity in Wikidata.

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

[Assistant]
Rowan Atkinson is identified as wd:Q23760 in Wikidata.

Next, I will find TV shows (instance of TV show) where Rowan Atkinson (wd:Q23760) is a cast member (property P161).

[Tool]
Got 8 rows and 2 columns:
| tvShow                                  | tvShowLabel                    |
| --------------------------------------- | ------------------------------ |
| Man vs. Bee (wd:Q112078154)             | Man vs. Bee (en)               |
| The Thin Blue Line (wd:Q1816205)        | The Thin Blue Line (en)        |
| Not the Nine O'Clock News (wd:Q2044417) | Not the Nine O'Clock News (en) |
| Maigret (wd:Q21998218)                  | Maigret (en)                   |
| Blackadder II (wd:Q2668056)             | Blackadder II (en)             |
| Mr. Bean (wd:Q484020)                   | Mr. Bean (en)                  |
| Blackadder (wd:Q49019)                  | Blackadder (en)                |
| Funny Business (wd:Q5509357)            | Funny Business (en)            |

[Assistant]
I found 8 TV shows where Rowan Atkinson was a cast member. Now I will filter these TV shows to find the one that started in 1983 and had 4 seasons.

I will first check the start year of these TV shows.

[Tool]
Got 7 rows and 3 columns:
| tvShow                                  | tvShowLabel                    | startYear      |
| --------------------------------------- | ------------------------------ | -------------- |
| Not the Nine O'Clock News (wd:Q2044417) | Not the Nine O'Clock News (en) | 1979 (xsd:int) |
| Blackadder (wd:Q49019)                  | Blackadder (en)                | 1983 (xsd:int) |
| Blackadder II (wd:Q2668056)             | Blackadder II (en)             | 1986 (xsd:int) |
| Mr. Bean (wd:Q484020)                   | Mr. Bean (en)                  | 1990 (xsd:int) |
| The Thin Blue Line (wd:Q1816205)        | The Thin Blue Line (en)        | 1995 (xsd:int) |
| Maigret (wd:Q21998218)                  | Maigret (en)                   | 2016 (xsd:int) |
| Man vs. Bee (wd:Q112078154)             | Man vs. Bee (en)               | 2022 (xsd:int) |

[Assistant] Among the TV shows where Rowan Atkinson starred, "Blackadder" started in 1983. Now I will check the number of seasons for "Blackadder".

[Tool]
Got 1 row and 3 columns:
| tvShow                 | tvShowLabel     | numberOfSeasons  |
| ---------------------- | --------------- | ---------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 27 (xsd:decimal) |

[Assistant]
The number of seasons for "Blackadder" is 27, which does not match the 4 seasons specified in the question.

I will check the number of seasons for the other TV shows that started close to 1983, especially "Blackadder II" which is related to "Blackadder" and started in 1986.

[Tool]
Got 1 row and 3 columns:
| tvShow                      | tvShowLabel        | numberOfSeasons |
| --------------------------- | ------------------ | --------------- |
| Blackadder II (wd:Q2668056) | Blackadder II (en) | 6 (xsd:decimal) |

[Assistant]
"Blackadder II" has 6 seasons, which also does not match the 4 seasons specified in the question.

I will now check the number of seasons for "Not the Nine O'Clock News" which started in 1979, to see if it matches the 4 seasons.

[Tool]
Got 1 row and 3 columns:
| tvShow                                  | tvShowLabel                    | numberOfSeasons  |
| --------------------------------------- | ------------------------------ | ---------------- |
| Not the Nine O'Clock News (wd:Q2044417) | Not the Nine O'Clock News (en) | 27 (xsd:decimal) |

[Assistant]
"Not the Nine O'Clock News" has 27 seasons, which also does not match the 4 seasons specified in the question.

Since none of the TV shows found so far match the 4 seasons criteria, I will now explicitly filter TV shows starring Rowan Atkinson that started in 1983 and had exactly 4 seasons in one query to see if there is any match.

[Tool] Got no rows and 2 columns

[Assistant]
There is no TV show starring Rowan Atkinson that started in 1983 and had exactly 4 seasons according to the data in Wikidata.

I will now check if there is a TV show starring Rowan Atkinson that started in 1983 and had approximately 4 seasons (e.g., between 3 and 5 seasons) to see if there is a close match.

[Tool] Got no rows and 3 columns

[Assistant]
There is no TV show starring Rowan Atkinson that started in 1983 and had between 3 and 5 seasons according to Wikidata.

Given the information, the closest match is "Blackadder" which started in 1983 but has 27 seasons, which might be due to the series having multiple parts or spin-offs counted as seasons.

I will provide the answer as "Blackadder" with the note about the number of seasons.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer identifies 'Blackadder' as the TV show starring Rowan Atkinson that started in 1983, which is correct. However, the question specifies the show had 4 seasons, while the query returns 27 seasons, which likely includes multiple parts or spin-offs. The query uses the property P1113 (number of episodes) instead of the correct property for number of seasons, which is P2437 (number of seasons). Also, the query should filter for shows with exactly 4 seasons to match the question. Therefore, the SPARQL query should be refined to use the correct property for number of seasons and filter for 4 seasons to better match the question's criteria.

[Assistant] Thank you for the feedback. I will refine the query to use the correct property for the number of seasons (P2437) and filter for TV shows starring Rowan Atkinson that started in 1983 and had exactly 4 seasons.

[Tool]
Got 1 row and 3 columns:
| tvShow                 | tvShowLabel     | numberOfSeasons |
| ---------------------- | --------------- | --------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 4 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the TV show starring Rowan Atkinson that started in 1983 and had 4 seasons. It uses appropriate properties and filters to ensure the start year and number of seasons match the question. The result is precise and matches the known TV show 'Blackadder'. The query also optionally retrieves the English label for readability. Overall, the answer is correct and complete.


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

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

Madonna performs on 52 albums according to Wikidata.

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

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

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

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

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

[User] On how many albums does Madonna perform?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What was the first Queen album?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q482994 .
  ?uri wdt:P175 wd:Q15862 .
  ?uri wdt:P577 ?date
}
ORDER BY ?date
LIMIT 1

Using entities:
Queen (wd:Q15862): British musical group; rock band
album, also known as full album, record album, music album, full-length album, audio album (wd:Q482994): grouping of album releases by an artist usually released at the ...racks but in different formats for consumption (digital, CD, LP)

Using properties:
performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt): date or point in time when a work was first published or released, point in time

[Assistant]
From the example, we see that albums are instances of "album" (wd:Q482994) and the property "performer" (wdt:P175) is used to link albums to performers. We want to count the number of albums where Madonna is the performer.

Next, I will search for the entity representing Madonna to confirm her Wikidata ID.

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

[Assistant] The entity for Madonna the American singer is wd:Q1744. Now I will write a SPARQL query to count the number of albums (instances of wd:Q482994) where Madonna (wd:Q1744) is the performer (wdt:P175).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of distinct albums (wd:Q482994) on which Madonna (wd:Q1744) performs using the property performer (wdt:P175). The query returns a single integer value representing the count, which matches the human-readable answer. The query follows the rules by returning the actual identifiers and performing the count within SPARQL. No further refinement is necessary.


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

The jazz club Birdland in Hamburg was founded in 1985.

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

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

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

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

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

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

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] There are no similar examples found for this question. Next, I will search for the entity "Birdland Hamburg" in Wikidata to identify the correct entity for the jazz club Birdland in Hamburg.

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

[Assistant]
The search for "Birdland Hamburg" did not return a direct match for the jazz club Birdland in Hamburg. It returned mostly entities related to Hamburg city and other places named Hamburg, and one "Birdland" which is a baseball stadium in Baltimore, Maryland.

Next, I will try searching for the entity "Birdland jazz club" to see if the jazz club Birdland in Hamburg is listed under a different name or more general term.

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
5. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
6. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
7. Reduta Jazz Club (wd:Q12049057): music club
8. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
9. Ealing Jazz Club (wd:Q5325487)
10. Yoshi's, also known as Yoshi's Oakland, Yoshi's Jazz Club (wd:Q2601061): nightclub located in Jack London Square in Oakland, California, United States

[Assistant]
The search for "Birdland jazz club" did not return the specific jazz club Birdland in Hamburg either. It returned general jazz club entities and other jazz clubs in different locations.

Next, I will try to search for the property related to the founding date or inception for an entity, which could help us later to query the founding date of the jazz club once we identify it. I will search for properties related to "founded" or "inception".

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

[Assistant]
The property "inception" (wdt:P571) is used for the founding date or the time when an entity begins to exist. This property is suitable for querying the founding date of the jazz club once we identify the correct entity.

Next, I will try to search for the entity "Birdland" alone to see if the jazz club Birdland in Hamburg is listed under this name.

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

[Assistant]
I found an entity Birdland (wd:Q800176) which is described as a jazz club in Hamburg. This seems to be the correct entity for the jazz club Birdland in Hamburg.

Now, I will query the inception (founding date) of this entity using the property wdt:P571.

[Tool]
Got 1 row and 2 columns:
| inception                           | inceptionLabel |
| ----------------------------------- | -------------- |
| 1985-01-01T00:00:00Z (xsd:dateTime) |                |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inception date (property P571) of the jazz club Birdland in Hamburg (wd:Q800176). The answer '1985' matches the query result. The query is appropriate and follows the rules, returning the actual identifier and the inception date. No further refinement is necessary.


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

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

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

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

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

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

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

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

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Which computer scientist won an oscar?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q82594 .
  ?uri wdt:P166 ?award .
  ?award wdt:P31 wd:Q19020 .
}

Using entities:
Academy Awards, also known as Oscars, The Oscars (wd:Q19020): annual awards for cinematic achievements
computer scientist, also known as computer professional, computer specialist (wd:Q82594): one who studies or practises computer science

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt): award or recognition received by a person, organization or creative work
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] The example found is not directly related to authorship of a paper, so I will proceed by searching for the paper "Prototypical Networks for Few-shot Learning" as an entity in Wikidata to find its identifier. Then I will look for the property related to authorship or author to find who wrote it.

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

[Assistant] I found the entity for the paper "Prototypical Networks for Few-shot Learning" with the identifier wd:Q44649835. Now I will look for the property related to the author or creator of this paper. Common properties for authorship are "author" (wdt:P50) or "creator" (wdt:P170). I will check the authors of this paper using these properties.

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

[Tool] Got no rows and 3 columns

[Assistant] The author of "Prototypical Networks for Few-shot Learning" (wd:Q44649835) is Richard S. Zemel (wd:Q26702597) according to the property author (wdt:P50). I will now finalize the answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the author of the scientific article "Prototypical Networks for Few-shot Learning" using the property wdt:P50 (author). The query also optionally retrieves the English label of the author, which is helpful for readability. The result correctly identifies Richard S. Zemel as the author. The query follows best practices by returning the actual identifier and label optionally. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?university ?universityLabel ?studentCount WHERE {
  ?university wdt:P31 wd:Q3918 .
  ?university wdt:P2196 ?studentCount .
  FILTER ( ?studentCount > 200000 ) OPTIONAL {
    ?university rdfs:label ?universityLabel FILTER ( LANG( ?universityLabel ) = "en" )
  }
}
ORDER BY DESC ( ?studentCount )

Got 7 rows and 3 columns:
| university                                                 | universityLabel                                 | studentCount          |
| ---------------------------------------------------------- | ----------------------------------------------- | --------------------- |
| Allama Iqbal Open University (wd:Q3694529)                 | Allama Iqbal Open University (en)               | 1326266 (xsd:decimal) |
| Universitas Terbuka (wd:Q7894421)                          | Universitas Terbuka (en)                        | 525360 (xsd:decimal)  |
| National Open University of Nigeria, Lafia (wd:Q131290725) | National Open University of Nigeria, Lafia (en) | 500000 (xsd:decimal)  |
| University of Phoenix (wd:Q1889100)                        | University of Phoenix (en)                      | 420000 (xsd:decimal)  |
| National Autonomous University of Mexico (wd:Q222738)      | National Autonomous University of Mexico (en)   | 360883 (xsd:decimal)  |
| Ain Shams University (wd:Q2723670)                         | Ain Shams University (en)                       | 220000 (xsd:decimal)  |
| Cairo University (wd:Q194445)                              | Cairo University (en)                           | 207853 (xsd:decimal)  |

The universities with more than 200000 students are: Allama Iqbal Open University, Universitas Terbuka, National Open University of Nigeria, Lafia, University of Phoenix, National Autonomous University of Mexico, Ain Shams University, and Cairo University.

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

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

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

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

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

[User] Which universities have more than 200000 students?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
How many students does the Free University of Amsterdam have?

SPARQL:
SELECT ?o1 WHERE {
  wd:Q214341 wdt:P2196 ?o1 .
}

Using entities:
University of Amsterdam, also known as GUA, uva.nl, UvA, Univ. of Amsterdam, G.U.A. (wd:Q214341): public university in Amsterdam, Netherlands

Using properties:
count of students, also known as count of pupils, count of students, enrollment, number of pupils, number of pupils or students (wd:P2196 as wdt): number of pupils or students of any type in an educational organ...evious years normal rank (not deprecated rank). Don't overwrite.

Example 2:
Question:
Which German cities have more than 250000 inhabitants?

SPARQL:
SELECT ?s1 WHERE {
  ?s1 wdt:P17 wd:Q183 .
  ?s1 wdt:P31 wd:Q515 .
  ?s1 wdt:P1082 ?o1 .
  FILTER ( ?o1 > "250000" ^^ xsd:integer )
}

Using entities:
Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
city, also known as cities (wd:Q515): large human settlement

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Which city has the most inhabitants?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 / wdt:279 * wd:Q515 ; wdt:P1082 ?population .
}
ORDER BY DESC ( ?population )
LIMIT 1

Using entities:
city, also known as cities (wd:Q515): large human settlement

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
From the examples, I see that the property for the number of students in an educational institution is P2196 (count of students). The entity for university is likely needed as well.

Next, I will search for the entity "university" to get its Wikidata ID. Then I will use the property P2196 to filter universities with more than 200000 students.

[Tool]
Top 10 entity alternatives:
1. university, also known as uni, universities (wd:Q3918): academic institution for further education
2. University, also known as Suitcase City, University, FL (wd:Q2463874): human settlement in Hillsborough County, Florida, USA
3. medieval university, also known as mediaeval university, university (wd:Q1143413): corporation organized during the High Middle Ages
4. University, also known as University, Orange County, University, FL, University, Florida (wd:Q7894478): Orange County, Florida, USA
5. University, also known as University CDP, University Census Designated Place, University, Mississippi, University, MS (wd:Q3612349): census-designated place in Mississippi, United States
6. Expo Park/USC, also known as University (wd:Q1953496): Los Angeles Metro station
7. University Avenue, also known as University, University Ave (wd:Q3551335): street in Toronto, Ontario
8. Universidad, also known as Universidad station, University (wd:Q25442975): subway station in San Juan, Puerto Rico
9. University (wd:Q7894493): constituency of the Central and Western District Council of Hong Kong
10. Hochschule, also known as technical university, university (wd:Q21028957): German term for "higher schooling", i.e. institutions of tertiar... which may or may not include vocational or professional schools

[Assistant]
The entity for university is wd:Q3918. The property for the number of students is P2196.

I will now write a SPARQL query to find universities (instance of university) with more than 200000 students using these identifiers.

[Tool]
Got 7 rows and 3 columns:
| university                                                 | universityLabel                                 | studentCount          |
| ---------------------------------------------------------- | ----------------------------------------------- | --------------------- |
| Allama Iqbal Open University (wd:Q3694529)                 | Allama Iqbal Open University (en)               | 1326266 (xsd:decimal) |
| Universitas Terbuka (wd:Q7894421)                          | Universitas Terbuka (en)                        | 525360 (xsd:decimal)  |
| National Open University of Nigeria, Lafia (wd:Q131290725) | National Open University of Nigeria, Lafia (en) | 500000 (xsd:decimal)  |
| University of Phoenix (wd:Q1889100)                        | University of Phoenix (en)                      | 420000 (xsd:decimal)  |
| National Autonomous University of Mexico (wd:Q222738)      | National Autonomous University of Mexico (en)   | 360883 (xsd:decimal)  |
| Ain Shams University (wd:Q2723670)                         | Ain Shams University (en)                       | 220000 (xsd:decimal)  |
| Cairo University (wd:Q194445)                              | Cairo University (en)                           | 207853 (xsd:decimal)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies universities with more than 200,000 students by filtering on the student count property (wdt:P2196) and ensuring the entities are instances of universities (wd:Q3918). The query returns the university identifiers, their English labels, and the student counts, which matches the user's question. The answer lists all universities found in the query result, and the data is consistent with the execution result. No further refinement is necessary.


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

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

The state Bavaria (wd:Q980) has 13 public holidays explicitly linked to it in Wikidata using the property 'public holiday' (wdt:P832). This means there are 13 public holidays observed in Bavaria according to Wikidata.

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

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

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

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

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

[User] How many public holidays does the state Bavaria have in a year?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Give me all Swedish holidays.

SPARQL:
SELECT ?uri WHERE {
  ?uri wdt:P31 wd:Q1401522 .
}

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
Which holidays are celebrated around the world?

SPARQL:
SELECT ?uri WHERE {
  ?uri wdt:P31 / wdt:P279 * wd:Q1445650 .
}

Using entities:
holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Which holidays are celebrated around the world?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?type wdt:P279 * wd:Q1445650 .
  ?uri wdt:P31 ?type .
}

Using entities:
holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
From the examples, it is clear that holidays are instances of the class "holiday" (wd:Q1445650) or its subclasses. To find the public holidays in Bavaria, we need to find holidays that are observed in Bavaria.

Step 1: Identify the entity for Bavaria.
Step 2: Identify the property that links holidays to the location or region where they are observed.
Step 3: Count the number of such holidays for Bavaria.

Let's start by searching for the entity for Bavaria.

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

[Assistant] The entity for the federated state in the south of Germany is wd:Q980. Next, I will search for properties that link holidays to the location or region where they are observed, using Bavaria (wd:Q980) as the context.

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as p/wdt): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
6. NE.se ID, also known as Nationalencyklopedin ID, Nationalencyklopedin Online ID, NE ID, NE.se (wd:P3222 as p/wdt): ID of article on the Swedish Nationalencyklopedin (NE.se) site
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as p/wdt): subject's official anthem
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The property "public holiday" (wdt:P832) is used to indicate official public holidays that occur in a place. We can use this property to find public holidays in Bavaria (wd:Q980).

Next, I will write a SPARQL query to count the number of public holidays in Bavaria using this property.

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

[Assistant]
The query returned 0, which means there are no public holidays directly linked to Bavaria using the property "public holiday" (wdt:P832). It is possible that public holidays are linked to Bavaria in a different way or that Bavaria is linked to the holidays as the location where they are observed.

Next, I will try to find holidays that are observed in Bavaria by looking for holidays that have Bavaria as the location or administrative territorial entity. I will search for properties related to location or region for holidays.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
3. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. NE.se ID, also known as Nationalencyklopedin ID, Nationalencyklopedin Online ID, NE ID, NE.se (wd:P3222 as p/wdt): ID of article on the Swedish Nationalencyklopedin (NE.se) site
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic
8. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/wdt/p): identifier from an international authority file of names, subjects, and organizations
9. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as p/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
10. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdtn/wdt/p): identifier for an item in FactGrid

No other items found

[Assistant] There are no direct properties related to location or region for the entity "holiday" (wd:Q1445650). I will try to find holidays that are instances of subclasses of "public holiday" and are linked to Bavaria through the property "located in the administrative territorial entity" (wdt:P131), which is commonly used for locations. Then I will count those holidays.

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

[Assistant]
The query returned 0, indicating no holidays are linked to Bavaria using the property "located in the administrative territorial entity" (wdt:P131).

I will try another approach by checking if Bavaria has a property that directly lists its public holidays. I will search for properties of Bavaria (wd:Q980) related to holidays.

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as p/wdt): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
6. NE.se ID, also known as Nationalencyklopedin ID, Nationalencyklopedin Online ID, NE ID, NE.se (wd:P3222 as p/wdt): ID of article on the Swedish Nationalencyklopedin (NE.se) site
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as p/wdt): subject's official anthem
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The property "public holiday" (wdt:P832) is the relevant property for Bavaria (wd:Q980) to list its public holidays. Since the direct count query returned 0, it is possible that public holidays are not directly linked to Bavaria but to the federal state of Germany or another entity.

I will now try to find public holidays in Germany (wd:Q183) that are specific to Bavaria by checking if the holidays have a qualifier or statement indicating they apply to Bavaria. I will first find public holidays in Germany.

[Tool] Got no rows and 1 columns

[Assistant] There are no holidays that are instances of "holiday" (wd:Q1401522) and have Germany (wd:Q183) as the country (wdt:P17). I will try to find holidays that are instances of "public holiday" (wd:Q177867) and have Germany as the country.

[Tool] Got no rows and 1 columns

[Assistant]
There are no holidays that are instances of "public holiday" (wd:Q177867) and have Germany (wd:Q183) as the country (wdt:P17).

I will try a different approach: find holidays that have Bavaria (wd:Q980) as the location or administrative territorial entity (wdt:P131) and are instances of "public holiday" or its subclasses. Then count those holidays.

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

[Assistant]
There are no holidays that are instances of "public holiday" or its subclasses and have Bavaria as the administrative territorial entity.

Since direct queries did not yield results, I will try to find public holidays that have Bavaria mentioned as a qualifier or part of a statement. I will search for holidays that have the property "public holiday" (wdt:P832) with Bavaria as the value or qualifier.

[Tool]
Got 1,579 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                  | object                                 |
| ------------------------------------ | ------------------------- | -------------------------------------- |
| United States (wd:Q30)               | public holiday (wdt:P832) | New Year's Day (wd:Q196627)            |
| Russia (wd:Q159)                     | public holiday (wdt:P832) | Unity Day (wd:Q1355116)                |
| Japan (wd:Q17)                       | public holiday (wdt:P832) | Culture Day (wd:Q1009535)              |
| Italy (wd:Q38)                       | public holiday (wdt:P832) | Ferragosto (wd:Q1262719)               |
| France (wd:Q142)                     | public holiday (wdt:P832) | Assumption of Mary (wd:Q162691)        |
| Germany (wd:Q183)                    | public holiday (wdt:P832) | Second Day of Christmas (wd:Q15113728) |
| Finland (wd:Q33)                     | public holiday (wdt:P832) | Independence Day (wd:Q419595)          |
| India (wd:Q668)                      | public holiday (wdt:P832) | Republic Day (wd:Q1139536)             |
| People's Republic of China (wd:Q148) | public holiday (wdt:P832) | Youth Day (wd:Q10881633)               |
| Canada (wd:Q16)                      | public holiday (wdt:P832) | _:bn1303913                            |
| ...                                  | ...                       | ...                                    |

[Assistant]
The property "public holiday" (wdt:P832) links countries or regions to their public holidays. Bavaria is a federated state of Germany, so it might be linked similarly.

I will now list public holidays linked to Germany (wd:Q183) and check if any of them have qualifiers or statements indicating they apply to Bavaria (wd:Q980). I will first list public holidays of Germany.

[Tool]
Got 9 rows and 1 column:
| holiday                                |
| -------------------------------------- |
| Second Day of Christmas (wd:Q15113728) |
| German Unity Day (wd:Q157582)          |
| New Year's Day (wd:Q196627)            |
| Easter Monday (wd:Q209663)             |
| Whit Monday (wd:Q2512993)              |
| Christmas Day (wd:Q2703710)            |
| Good Friday (wd:Q40317)                |
| International Workers' Day (wd:Q47499) |
| Feast of the Ascension (wd:Q51638)     |

[Assistant] Germany has 9 public holidays listed. Now I will check if any of these holidays have qualifiers or statements indicating they apply specifically to Bavaria (wd:Q980). I will check the statements for each holiday to see if Bavaria is mentioned as the applicable region.

[Tool]
Got 112 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                       | object                                          |
| -------------------------------------- | ---------------------------------------------- | ----------------------------------------------- |
| Second Day of Christmas (wd:Q15113728) | instance of (wdt:P31)                          | religious and cultural festive day (wd:Q375011) |
| Second Day of Christmas (wd:Q15113728) | Commons category (wdt:P373)                    | Boxing Day                                      |
| Second Day of Christmas (wd:Q15113728) | part of (wdt:P361)                             | Christmas (wd:Q19809)                           |
| Second Day of Christmas (wd:Q15113728) | follows (wdt:P155)                             | Christmas (wd:Q19809)                           |
| Second Day of Christmas (wd:Q15113728) | said to be the same as (wdt:P460)              | Boxing Day (wd:Q956699)                         |
| Second Day of Christmas (wd:Q15113728) | day in year for periodic occurrence (wdt:P837) | December 26 (wd:Q2761)                          |
| Second Day of Christmas (wd:Q15113728) | Google Knowledge Graph ID (wdtn:P2671)         | <http://g.co/kg/g/120wkld7>                     |
| Second Day of Christmas (wd:Q15113728) | WikiKids ID (wdt:P12086)                       | Tweede_kerstdag                                 |
| Second Day of Christmas (wd:Q15113728) | wdt:P31279                                     | holiday (wd:Q1445650)                           |
| Second Day of Christmas (wd:Q15113728) | schema:description                             | 26. desember (nb)                               |
| ...                                    | ...                                            | ...                                             |

[Assistant]
The statements for "Second Day of Christmas" (wd:Q15113728) do not show any indication that it is specific to Bavaria.

I will check the statements for the next holiday, "German Unity Day" (wd:Q157582), to see if it is specific to Bavaria.

[Tool]
Got 329 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------- |
| German Unity Day (wd:Q157582) | instance of (wdt:P31)            | national day (wd:Q57598)                                                                    |
| German Unity Day (wd:Q157582) | country (wdt:P17)                | Germany (wd:Q183)                                                                           |
| German Unity Day (wd:Q157582) | Commons category (wdt:P373)      | German Unity Day                                                                            |
| German Unity Day (wd:Q157582) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/3-Oktober.jpg>                          |
| German Unity Day (wd:Q157582) | native label (wdt:P1705)         | Tag der Deutschen Einheit (de)                                                              |
| German Unity Day (wd:Q157582) | topic's main category (wdt:P910) | wd:Q55268242                                                                                |
| German Unity Day (wd:Q157582) | named after (wdt:P138)           | German reunification (wd:Q56039)                                                            |
| German Unity Day (wd:Q157582) | pronunciation audio (wdt:P443)   | <http://commons.wikimedia.org/wiki/Special:FilePath/De-Tag%20der%20Deutschen%20Einheit.ogg> |
| German Unity Day (wd:Q157582) | replaces (wdt:P1365)             | wd:Q114028189                                                                               |
| German Unity Day (wd:Q157582) | Commons gallery (wdt:P935)       | German Unity Day                                                                            |
| ...                           | ...                              | ...                                                                                |

[Assistant]
The statements for "German Unity Day" (wd:Q157582) do not show any indication that it is specific to Bavaria.

I will check the statements for the next holiday, "New Year's Day" (wd:Q196627), to see if it is specific to Bavaria.

[Tool]
Got 479 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                       | object                                                                                |
| --------------------------- | ---------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| New Year's Day (wd:Q196627) | instance of (wdt:P31)                          | public holiday (wd:Q1197685)                                                                           |
| New Year's Day (wd:Q196627) | Commons category (wdt:P373)                    | New Year's Day                                                                                |
| New Year's Day (wd:Q196627) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Wildsch%C3%B6nau%20feiert%20Neues%20Jahr%2003.jpg> |
| New Year's Day (wd:Q196627) | part of (wdt:P361)                             | public holiday in Japan (wd:Q1195354)                                                                  |
| New Year's Day (wd:Q196627) | subclass of (wdt:P279)                         | holiday (wd:Q1445650)                                                                                |
| New Year's Day (wd:Q196627) | described by source (wdt:P1343)                | Encyclopædia Britannica 11th edition (wd:Q867541)                                                      |
| New Year's Day (wd:Q196627) | follows (wdt:P155)                             | New Year's Eve (wd:Q11269)                                                                             |
| New Year's Day (wd:Q196627) | named after (wdt:P138)                         | New Year (wd:Q34812)                                                                                |
| New Year's Day (wd:Q196627) | commemorates (wdt:P547)                        | New Year (wd:Q34812)                                                                                |
| New Year's Day (wd:Q196627) | day in year for periodic occurrence (wdt:P837) | January 1 (wd:Q2150)                                                                                |
| ...                         | ...                                            | ...                                                                                |

[Assistant]
The statements for "New Year's Day" (wd:Q196627) do not show any indication that it is specific to Bavaria.

Since checking individual holidays is not efficient, I will try a different approach: I will find holidays that have Bavaria (wd:Q980) as the location or administrative territorial entity (wdt:P131) or as a qualifier for the property "public holiday" (wdt:P832) for Germany (wd:Q183). I will write a query to find such holidays.

[Tool] Got no rows and 1 columns

[Assistant]
There are no holidays linked to Germany (wd:Q183) with the property "public holiday" (wdt:P832) that have Bavaria (wd:Q980) as the administrative territorial entity (wdt:P131) qualifier.

I will try to find holidays that have Bavaria (wd:Q980) as the administrative territorial entity (wdt:P131) directly and count them.

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

[Assistant]
There are no holidays that have Bavaria (wd:Q980) as the administrative territorial entity (wdt:P131) and are instances of "holiday" (wd:Q1445650) or its subclasses.

Since direct queries did not yield results, I will try to find public holidays in Bavaria by looking for holidays that have Bavaria mentioned in their description or label. I will search for holidays with the keyword "Bavaria" in their label.

[Tool]
Top 10 entity alternatives:
1. Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern (wd:Q980): federated state in the south of Germany
2. holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law
3. Kingdom of Bavaria, also known as Bavaria, Kinereich Baiern, Kinereich Bayern, Königreich Baiern, Königreich Bayern (wd:Q154195): kingdom in Central Europe between 1806 and 1918, from January 1871 part of the German Empire
4. vacation, also known as vacationing, vacationins, holidays, holiday (wd:Q116213): leave of absence from a regular occupation, or a specific trip or journey, usually for the purpose of recreation or tourism
5. The Holiday, also known as Holiday (wd:Q478748): 2006 film directed by Nancy Meyers
6. Electorate of Bavaria, also known as Bavaria (wd:Q256961): state in the Holy Roman Empire
7. 301 Bavaria, also known as (301) Bavaria, Bavaria (wd:Q150590): main-belt asteroid
8. annual leave, also known as leave with pay, vacations with pay, vacation, paid vacations, paid holidays (wd:Q5338673): paid time off, generally taken when an employee desires (though often requiring notice and approval), and for any reason
9. Holiday, also known as Holiday, Florida, Holiday, FL (wd:Q2126669): census-designated place in Pasco County, Florida, United States
10. Bavaria, also known as Bavaria statue (wd:Q707669): Statue of Bavaria in Munich, Germany

[Assistant]
The search for "holiday Bavaria" did not return specific holidays related to Bavaria. Given the complexity and the lack of direct links in the data, it seems that the public holidays specific to Bavaria might not be explicitly listed in Wikidata with a direct count.

I will provide a query that counts public holidays linked to Bavaria using the property "public holiday" (wdt:P832) and the entity for Bavaria (wd:Q980), which is the best approximation based on available data.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's answer states that Bavaria has 0 public holidays linked using property wdt:P832, but the SPARQL query result shows a count of 13. This is a contradiction. The query itself is correct for counting public holidays linked to Bavaria using property wdt:P832. The answer should reflect the query result, which is 13 public holidays. Therefore, the answer is incorrect and needs to be reworked to correctly state that Bavaria has 13 public holidays according to the query result. Also, it would be good to clarify that these are the public holidays explicitly linked to Bavaria in Wikidata using the property wdt:P832.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 13 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of public holidays linked to Bavaria using the property 'public holiday' (wdt:P832). The query returns the count as 13, which matches the answer provided. The query follows SPARQL best practices by returning the count directly without unnecessary labels or additional information. The answer is clear, complete, and directly addresses the user's question. No further refinement is needed.