PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?type ?typeLabel ( COUNT( ?item ) AS ?count ) WHERE {
  ?item wdt:P1225 ?naid .
  ?item wdt:P31 ?type .
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( LANG( ?typeLabel ) = "en" )
  }
}
GROUP BY ?type ?typeLabel
ORDER BY DESC ( ?count )

Got 2,484 rows and 3 columns, showing the first 5 and last 5 rows below:
| type                                                | typeLabel                                  | count            |
| --------------------------------------------------- | ------------------------------------------ | ---------------- |
| collection (wd:Q2668072)                            | collection (en)                            | 498469 (xsd:int) |
| item of collection or exhibition (wd:Q18593264)     | item of collection or exhibition (en)      | 118317 (xsd:int) |
| human (wd:Q5)                                       | human (en)                                 | 13416 (xsd:int)  |
| city in the United States (wd:Q1093829)             | city in the United States (en)             | 1677 (xsd:int)   |
| county seat (wd:Q62049)                             | county seat (en)                           | 804 (xsd:int)    |
| ...                                                 | ...                                        | ...              |
| gift (wd:Q707482)                                   | gift (en)                                  | 1 (xsd:int)      |
| naval offensive (wd:Q6982012)                       | naval offensive (en)                       | 1 (xsd:int)      |
| National Parkway (wd:Q6979644)                      | National Parkway (en)                      | 1 (xsd:int)      |
| National Reserve of the United States (wd:Q6978068) | National Reserve of the United States (en) | 1 (xsd:int)      |
| holy city (wd:Q692581)                              | holy city (en)                             | 1 (xsd:int)      |

The different types of items that have a U.S. National Archives Identifier (wdt:P1225) include collections, items of collection or exhibition, humans, cities in the United States, county seats, and many other types. The total count of items for each type is ordered in descending order, with 'collection' having the highest count of 498,469 items, followed by 'item of collection or exhibition' with 118,317 items, and 'human' with 13,416 items, among others.

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

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

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

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

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

[User] What are the different types of items that have a U.S. National Archives Identifier, along with the total count of how many items of each type exist, ordered by the total count in descending order?

[Assistant]
The question asks for different types of items that have a U.S. National Archives Identifier and the total count of items of each type, ordered by count in descending order.

Step 1: Identify the property for "U.S. National Archives Identifier."
I will search for the property related to "U.S. National Archives Identifier" in Wikidata.

[Tool]
Top 10 property alternatives:
1. U.S. National Archives Identifier, also known as NAID, NARA identiifier, National Archives Identifier, Organization Name NAID, United States National Archives Identifier (wd:P1225 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for the United States National Archives and Records Administration's online catalog
2. UK National Archives ID, also known as UKNA ID, NRA ID, TNA ID, TNA, Public Record Office (wd:P3029 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a person, family or organisation, in the UK's National Archives database
3. CofE archives place ID, also known as Archives and Manuscripts Catalogue place ID, Archives and Manuscripts Catalogue place identifier, Church of England archives place ID, Church of England archives place identifier, CofE archives place identifier (wd:P9491 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a place in the places database of the Church of E...f Lambeth Palace Library and the Church of England Record Centre
4. CofE archives name ID, also known as Archives and Manuscripts Catalogue name ID, Archives and Manuscripts Catalogue name identifier, Church of England archives name ID, Church of England archives name identifier, CofE archives name identifier (wd:P9485 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for an entity in the names database of the Church of ...f Lambeth Palace Library and the Church of England Record Centre
5. archival creator authority record at the Archives nationales, also known as Archives nationales ID (wd:P3599 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier of the Archives Nationales (French National Archives)
6. National Archives of Australia entity ID, also known as NAA entity ID, RecordSearch person number, RecordSearch organisation number, RecordSearch identifier, RecordSearch ID (wd:P10856 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for government agencies created by, and people and or...th of Australia, allocated by the National Archives of Australia
7. CofE archives catalogue ID, also known as Church of England archives catalogue identifier, CofE archives catalogue identifier, Church of England archives catalogue ID, Archives and Manuscripts Catalogue catalogue identifier, Archives and Manuscripts Catalogue catalogue ID (wd:P9483 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a catalogue item in the Church of England's Natio...f Lambeth Palace Library and the Church of England Record Centre
8. Smithsonian resource ID, also known as identifier for a resource held by the Smithsonian Institution, SIID, SI Record ID, Smithsonian ID, Smithsonian Institution resource ID (wd:P7851 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a resource held by the Smithsonian Institution
9. National Library of Wales Authority ID, also known as National Library of Wales Archives and Manuscripts, National Library of Wales Archives and Manuscripts identifier, NLoW ID, NLW Archives and Manuscripts identifier, NLW identifier (wd:P2966 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier of persons, corporate entities and families in the National Library of Wales Archives and Manuscripts database
10. Dictionary of Archives Terminology ID, also known as DAT ID, SAA ID (wd:P11567 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for an entry in the Society of American Archivists' Dictionary of Archives Terminology

[Assistant]
The property for "U.S. National Archives Identifier" is wd:P1225.

Step 2: Identify the types of items that have this property (wdt:P1225) and count how many items of each type exist.

I will write a SPARQL query to get the types (instance of - wdt:P31) of items that have the property wd:P1225 and count the number of items for each type, ordering by count in descending order.

[Tool]
Got 2,484 rows and 3 columns, showing the first 5 and last 5 rows below:
| type                                                | typeLabel                                  | count            |
| --------------------------------------------------- | ------------------------------------------ | ---------------- |
| collection (wd:Q2668072)                            | collection (en)                            | 498469 (xsd:int) |
| item of collection or exhibition (wd:Q18593264)     | item of collection or exhibition (en)      | 118317 (xsd:int) |
| human (wd:Q5)                                       | human (en)                                 | 13416 (xsd:int)  |
| city in the United States (wd:Q1093829)             | city in the United States (en)             | 1677 (xsd:int)   |
| county seat (wd:Q62049)                             | county seat (en)                           | 804 (xsd:int)    |
| ...                                                 | ...                                        | ...              |
| gift (wd:Q707482)                                   | gift (en)                                  | 1 (xsd:int)      |
| naval offensive (wd:Q6982012)                       | naval offensive (en)                       | 1 (xsd:int)      |
| National Parkway (wd:Q6979644)                      | National Parkway (en)                      | 1 (xsd:int)      |
| National Reserve of the United States (wd:Q6978068) | National Reserve of the United States (en) | 1 (xsd:int)      |
| holy city (wd:Q692581)                              | holy city (en)                             | 1 (xsd:int)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the different types of items that have a U.S. National Archives Identifier (wdt:P1225) along with the count of items for each type. It groups by the type and orders the results by the count in descending order as requested. The query also optionally retrieves the English labels for the types, which helps in understanding the results. The answer summary accurately reflects the query results and provides a clear explanation with example counts. No improvements are necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?publisher ?publisherLabel ?dob ?dod ?image ?publisherCoordinates ?workLocationCoordinates WHERE {
  ?publisher wdt:P31 wd:Q5 ; wdt:P106 wd:Q2516866 ; wdt:P937 wd:Q727 .
  OPTIONAL {
    ?publisher wdt:P569 ?dob .
  }
  OPTIONAL {
    ?publisher wdt:P570 ?dod .
  }
  OPTIONAL {
    ?publisher wdt:P18 ?image .
  }
  OPTIONAL {
    ?publisher wdt:P625 ?publisherCoordinates .
  }
  wd:Q727 wdt:P625 ?workLocationCoordinates .
  OPTIONAL {
    ?publisher rdfs:label ?publisherLabel FILTER ( LANG( ?publisherLabel ) = "en" )
  }
}
LIMIT 100

The refined query retrieves publishers who have worked in Amsterdam (wd:Q727) and includes their date of birth, date of death, image, and coordinates of the publishers if available. It also includes the coordinates of Amsterdam as the work location coordinates for all results. This ensures that the work location is consistently Amsterdam and avoids including other work locations. The results include publishers such as Carel Allard, Jan Jacobsz Bouman, Jacob Pietersz Wachter, Pieter Jan Entrop, and others with their respective information.

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

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

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

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

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

[User] Which publishers have worked in Amsterdam? For each publisher, include their date of birth (if available), date of death (if available), image (if available), work location, and coordinates of both the publishers (if available) and their work locations (if available)?

[Assistant]
To answer this question, I need to identify entities that are publishers and have a work location in Amsterdam. Then, for each publisher, I will retrieve their date of birth, date of death, image, work location, and coordinates of both the publisher and their work location.

Step 1: Identify the entity for "publisher."
Step 2: Identify the entity for "Amsterdam."
Step 3: Find publishers with a work location in Amsterdam.
Step 4: Retrieve the requested information for each publisher.

I will start by searching for the entity "publisher" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. publisher, also known as publisher, publishing company, publishing house (wd:Q2085381): company that prints and distributes pressed goods or electronic media
2. publishing company, also known as publisher, publishing company, publishing house (wd:Q2085381): company that prints and distributes pressed goods or electronic media
3. imprint, also known as publisher, publishing brand, publishing imprint (wd:Q2608849): trade name under which works are published, often corresponding to a division of a publishing company
4. publisher, also known as publishing director (wd:Q2516866): person heading a publishing company or who publishes media
5. printer, also known as publisher (wd:Q175151): person involved in manufacturing printed materials; operator of a printing press
6. Microsoft Publisher file format family, also known as .pub, Publisher, Publisher file (wd:Q7121072): file format family
7. publisher (wd:Q105044823): person or company responsible for release and distribution of print goods or electronic media
8. Passport Books, also known as publisher (wd:Q123002935)
9. publisher (wd:Q83961808): metadata in Dublin Core
10. publisher, also known as video game publisher, software publisher, sheet music publisher, publishing house, published by (wd:P123): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software

[Assistant] The relevant entity for "publisher" as a person is wd:Q2516866 (publisher, also known as publishing director). For "Amsterdam," I will search next to get the exact entity. Then I will find publishers with a work location in Amsterdam and retrieve the requested information.

[Tool]
Top 10 entity alternatives:
1. Amsterdam, also known as Amsterdam, Netherlands, Amsterdam, NL, A'dam, Amsterdam, North Holland, Mokum (wd:Q727): capital and most populous city of the Netherlands
2. Amsterdam, also known as Mokum, Amsterdam, North Holland, Amsterdam, NL, Amsterdam, Netherlands, A'dam (wd:Q727): capital and most populous city of the Netherlands
3. Amsterdam, also known as Amsterdam (city), New York, Amsterdam, NY (wd:Q478456): city in Montgomery County in the state of New York, USA
4. Amsterdam, also known as Amsterdam, Missouri, Amsterdam, MO (wd:Q959016): city in Missouri, United States
5. Amsterdam (wd:Q104830968): 2022 film directed by David O. Russell
6. Amsterdam, also known as Amsterdam, OH, Amsterdam, Ohio (wd:Q2049529): human settlement in Jefferson County, Ohio, United States of America
7. Amsterdam (wd:Q478433): novel by Ian McEwan
8. Amsterdam, also known as Le port d'Amsterdam (wd:Q122781): song written and composed by Jacques Brel
9. Amsterdam, also known as Amsterdam, Montana (wd:Q16974954): census-designated place in Gallatin County, Montana, United States
10. Amsterdam (wd:Q3152900): place in Mpumalanga, South Africa

[Assistant]
The entity for Amsterdam as the capital city of the Netherlands is wd:Q727.

Next, I will find publishers (wd:Q2516866) who have a work location (property wdt:P937) in Amsterdam (wd:Q727). I will also retrieve their date of birth (wdt:P569), date of death (wdt:P570), image (wdt:P18), work location (wdt:P937), and coordinates of both the publishers (wdt:P625) and their work locations (wdt:P625).

I will start by writing a query to get publishers with work location Amsterdam and retrieve the requested information.

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

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

I will now rewrite and execute the query again.

[Tool]
Got 100 rows and 9 columns, showing the first 5 and last 5 rows below:
| publisher                                  | publisherLabel                    | dob                                 | dod                                 | image | workLocation               | workLocationLabel | publisherCoordinates | workLocationCoordinates                     |
| ------------------------------------------ | --------------------------------- | ----------------------------------- | ----------------------------------- | ----- | -------------------------- | ----------------- | -------------------- | ------------------------------------------- |
| Andreas van Luchtenburg (wd:Q2471026)      | Andreas van Luchtenburg (en)      | 1643-01-01T00:00:00Z (xsd:dateTime) | 1709-05-01T00:00:00Z (xsd:dateTime) |       | Tholen (wd:Q10082)         | Tholen (en)       |                      | POINT(4.121100 51.584700) (geo:wktLiteral)  |
| Andreas van Luchtenburg (wd:Q2471026)      | Andreas van Luchtenburg (en)      | 1643-01-01T00:00:00Z (xsd:dateTime) | 1709-05-01T00:00:00Z (xsd:dateTime) |       | Renesse (wd:Q1024702)      | Renesse (en)      |                      | POINT(3.773100 51.732200) (geo:wktLiteral)  |
| Andreas van Luchtenburg (wd:Q2471026)      | Andreas van Luchtenburg (en)      | 1643-01-01T00:00:00Z (xsd:dateTime) | 1709-05-01T00:00:00Z (xsd:dateTime) |       | Renesse (wd:Q1024702)      | Renesse (en)      |                      | POINT(3.775000 51.732500) (geo:wktLiteral)  |
| Zacharias Härtel (wd:Q112530827)           | Zacharias Härtel (en)             |                                     |                                     |       | Hamburg (wd:Q1055)         | Hamburg (en)      |                      | POINT(10.000000 53.550000) (geo:wktLiteral) |
| Christian Friedrich Fritzsch (wd:Q1079592) | Christian Friedrich Fritzsch (en) | 1719-01-01T00:00:00Z (xsd:dateTime) | 1774-01-01T00:00:00Z (xsd:dateTime) |       | Hamburg (wd:Q1055)         | Hamburg (en)      |                      | POINT(10.000000 53.550000) (geo:wktLiteral) |
| ...                                        | ...                               | ...                                 | ...                                 | ...   | ...                        | ...               | ...                  | ...                                         |
| Benjamin Wright (wd:Q91791410)             | Benjamin Wright (en)              | 1575-01-01T00:00:00Z (xsd:dateTime) | 1625-01-01T00:00:00Z (xsd:dateTime) |       | Bologna (wd:Q1891)         | Bologna (en)      |                      | POINT(11.342778 44.493889) (geo:wktLiteral) |
| Benjamin Wright (wd:Q91791410)             | Benjamin Wright (en)              | 1575-01-01T00:00:00Z (xsd:dateTime) | 1650-01-01T00:00:00Z (xsd:dateTime) |       | Bologna (wd:Q1891)         | Bologna (en)      |                      | POINT(11.342778 44.493889) (geo:wktLiteral) |
| Jan Theunisz (wd:Q26690089)                | Jan Theunisz (en)                 | 1569-01-01T00:00:00Z (xsd:dateTime) | 1635-01-01T00:00:00Z (xsd:dateTime) |       | Zandstraat (wd:Q18951406)  | Zandstraat (en)   |                      | POINT(4.898900 52.370200) (geo:wktLiteral)  |
| Broer Jansz (wd:Q26690084)                 | Broer Jansz (en)                  | 1579-01-01T00:00:00Z (xsd:dateTime) | 1652-10-01T00:00:00Z (xsd:dateTime) |       | Langestraat (wd:Q19320670) | Langestraat (en)  |                      | POINT(4.892000 52.378200) (geo:wktLiteral)  |
| Henri Desbordes (wd:Q25099955)             | Henri Desbordes (en)              | 1649-11-28T00:00:00Z (xsd:dateTime) | 1722-01-01T00:00:00Z (xsd:dateTime) |       | Saumur (wd:Q193821)        | Saumur (en)       |                      | POINT(-0.078055 47.259167) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves publishers who have worked in Amsterdam and includes their date of birth, date of death, image, work location, and coordinates for both publishers and work locations. However, there is a logical issue: the query uses wdt:P937 wd:Q727 to filter publishers who have Amsterdam as their work location, but then also optionally retrieves other work locations (?publisher wdt:P937 ?workLocation), which can include locations other than Amsterdam. This causes the results to include work locations not in Amsterdam, which contradicts the question's intent to find publishers who have worked in Amsterdam. Also, the query does not ensure that the work location coordinates are for the work location actually in Amsterdam. To improve, the query should ensure that the work location is Amsterdam or at least include only work locations in Amsterdam, or clarify that the publisher has worked in Amsterdam but may have other work locations as well. Additionally, the query should ensure that the coordinates for the publisher and work location are retrieved correctly and consistently. Finally, the query should use rdfs:label for labels but keep them optional as done. Overall, the answer is mostly correct but the query needs refinement to better align with the question's intent and to avoid including irrelevant work locations.

[Assistant]
Thank you for the feedback. I understand the issue: the query filters publishers who have Amsterdam as a work location but then retrieves all their work locations, which may include locations other than Amsterdam. This can cause confusion as the question asks specifically for publishers who have worked in Amsterdam and their work location(s) should be Amsterdam or at least clearly indicate the Amsterdam work location.

To refine the query:
- I will ensure that the work location retrieved is Amsterdam (wd:Q727) only.
- I will retrieve the coordinates of Amsterdam as the work location coordinates.
- I will keep the publisher's coordinates as is.
- I will keep the optional labels and other requested information.

I will now rewrite and execute the refined query.

[Tool]
Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| publisher                                | publisherLabel                | dob                                 | dod                                 | image                                                                         | publisherCoordinates | workLocationCoordinates                    |
| ---------------------------------------- | ----------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------------------------------------------------- | -------------------- | ------------------------------------------ |
| Carel Allard (wd:Q1035877)               | Carel Allard (en)             | 1648-01-19T00:00:00Z (xsd:dateTime) | 1709-02-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Jan Jacobsz Bouman (wd:Q105046586)       | Jan Jacobsz Bouman (en)       |                                     | 1671-01-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Jacob Pietersz Wachter (wd:Q105834328)   | Jacob Pietersz Wachter (en)   | 1590-01-01T00:00:00Z (xsd:dateTime) | 1649-01-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Pieter Jan Entrop (wd:Q105964307)        | Pieter Jan Entrop (en)        |                                     | 1772-11-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Theunis Jacobsz Lootsman (wd:Q106375633) | Theunis Jacobsz Lootsman (en) | 1607-01-01T00:00:00Z (xsd:dateTime) | 1651-01-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| ...                                      | ...                           | ...                                 | ...                                 | ...                                                                           | ...                  | ...                                        |
| Anna Goelet (wd:Q117319715)              | Anna Goelet (en)              | 1634-01-01T00:00:00Z (xsd:dateTime) | 1695-01-18T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| David Herrliberger (wd:Q1174722)         | David Herrliberger (en)       | 1697-01-31T00:00:00Z (xsd:dateTime) | 1777-05-25T00:00:00Z (xsd:dateTime) | <http://commons.wikimedia.org/wiki/Special:FilePath/David%20Herrliberger.png> |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Izaak Duim (wd:Q117805471)               | Izaak Duim (en)               | 1696-01-01T00:00:00Z (xsd:dateTime) | 1782-01-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Friduwih Riemersma (wd:Q117857304)       | Friduwih Riemersma (en)       | 1962-01-01T00:00:00Z (xsd:dateTime) |                                     |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |
| Seger Tielemans (wd:Q118129394)          | Seger Tielemans (en)          | 1640-06-01T00:00:00Z (xsd:dateTime) | 1708-01-01T00:00:00Z (xsd:dateTime) |                                                                               |                      | POINT(4.883333 52.366667) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves publishers who have worked in Amsterdam, including their date of birth, date of death, image, and coordinates of both the publishers and the work location (Amsterdam). The query respects the requirement to return identifiers and optional human-readable labels. It also correctly uses the property for work location (wdt:P937) and filters for occupation publisher (wd:Q2516866). The coordinates of Amsterdam are consistently included as the work location coordinates, which is appropriate since the question specifically asks for publishers who have worked in Amsterdam. The results include relevant publishers with their respective information, fulfilling the user's request comprehensively. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?castle ?castleLabel ?image ( GROUP_CONCAT( DISTINCT ?designPlanImage ; separator = ", " ) AS ?designPlanImages ) WHERE {
  ?castle wdt:P31 wd:Q23413 ; wdt:P131 * wd:Q23298 .
  OPTIONAL {
    ?castle wdt:P18 ?image .
  }
  OPTIONAL {
    ?castle wdt:P3311 ?designPlanImage .
  }
  OPTIONAL {
    ?castle rdfs:label ?castleLabel FILTER ( LANG( ?castleLabel ) = "en" )
  }
}
GROUP BY ?castle ?castleLabel ?image

Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| castle                         | castleLabel           | image                                                                                | designPlanImages                                                    |
| ------------------------------ | --------------------- | ------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Rochester Castle (wd:Q1125527) | Rochester Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20Keep%20and%20Bailey%200038stcp.JPG>        | http://commons.wikimedia.org/wik...%281836%29%20V6%20page%20355.jpg |
| Hever Castle (wd:Q1132683)     | Hever Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Hever%20Castle.jpg>                                             |                                                                     |
| Deal Castle (wd:Q1180981)      | Deal Castle (en)      | <http://commons.wikimedia.org/wiki/Special:FilePath/Deal%20Castle%20Aerial%20View.jpg>                              | http://commons.wikimedia.org/wik...20Castle%20plan%20unlabelled.jpg |
| Deal Castle (wd:Q1180981)      | Deal Castle (en)      | <http://commons.wikimedia.org/wiki/Special:FilePath/Deal%20Castle%20Front.jpg>                                      | http://commons.wikimedia.org/wik...20Castle%20plan%20unlabelled.jpg |
| Eynsford Castle (wd:Q1385848)  | Eynsford Castle (en)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Eynsford%20Castle%20%2820%29%20%2818373797302%29%20%282%29.jpg> |                                                                     |
| ...                            | ...                   | ...                                                                                | ...                                                                 |
| Stone Castle (wd:Q7618887)     | Stone Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Stone%20Castle%20-%20geograph.org.uk%20-%20893976.jpg>          |                                                                     |
| Tonbridge Castle (wd:Q7820768) | Tonbridge Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/TonbridgeCastle0021.JPG>                                        |                                                                     |
| Upnor Castle (wd:Q7898392)     | Upnor Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Upnor%200109.JPG>                                               | http://commons.wikimedia.org/wik...astle%20OS%20map%20annotated.png |
| Upnor Castle (wd:Q7898392)     | Upnor Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Upnor%20Castle%20trimmed.jpg>                                   | http://commons.wikimedia.org/wik...astle%20OS%20map%20annotated.png |
| Dover Castle (wd:Q950970)      | Dover Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/1%20dover%20castle%20aerial%20panorama%202017.jpg>              | http://commons.wikimedia.org/wik...zabeth%20Fleuron%20T081529-8.png |

The refined query found multiple castles located in the historic county of Kent, along with their images and images of their design plans if available. The results include castles such as Rochester Castle, Hever Castle, Deal Castle, Eynsford Castle, Stone Castle, Tonbridge Castle, Upnor Castle, and Dover Castle. Each castle's images and design plan images are aggregated to avoid duplicates. For example, Rochester Castle has an image and multiple design plan images available. You can explore the images and design plans for these castles using the provided URLs in the query results.

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

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

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

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

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

[User] What are the castles located in the historic county of Kent, along with their images and/or image of their design plans if available?

[Assistant]
To answer this question, I need to identify the following:
1. The entity representing the historic county of Kent.
2. The entity representing castles.
3. The property that links castles to their location (specifically the historic county of Kent).
4. The properties for images and images of design plans of the castles.

Step 1: Search for the entity representing the historic county of Kent.

[Tool]
Top 10 entity alternatives:
1. Kent, also known as County of Kent, Kent, England (wd:Q23298): county of England, United Kingdom
2. historic county of England, also known as former county of England, traditional county of England, ancient county of England (wd:Q1138494): geographical designations for areas of England, based on historical traditions
3. historic county of England, also known as ancient county of England, traditional county of England, former county of England (wd:Q1138494): geographical designations for areas of England, based on historical traditions
4. historic county of Wales (wd:Q1857731): geographical designations for areas of Wales, based on historical traditions
5. historic county of Quebec, also known as List of historic counties of Quebec (wd:Q2991491): overview of historical counties and territories in Quebec
6. county of Kentucky, also known as counties of Kentucky, county in Kentucky, Kentucky counties, Kentucky county (wd:Q13410447): political subdivision of Kentucky, United States
7. historic county of England (wd:L1334675-S1)
8. county of Iceland, also known as counties of Iceland, historical county of Iceland, historical counties of Iceland, districts of Iceland, district of Iceland (wd:Q107024302): former first-level administrative territorial subdivision of Iceland
9. Historic communities of Alachua County (wd:Q113678153): aspect of history
10. Kent County Sheriff's Office (wd:Q6391677): primary law enforcement agency servicing Kent County

[Assistant]
The entity for the historic county of Kent is wd:Q23298 (Kent, also known as County of Kent, Kent, England).

Step 2: Search for the entity representing castles.

[Tool]
Top 10 entity alternatives:
1. castle (wd:Q23413): type of fortified structure built in Europe, Asia and the Middle East during the Middle Ages by nobility
2. rook, also known as marquess, tower, Rook (chess), rector, R (wd:Q137): piece from the board game chess
3. castling, also known as castle (wd:Q102877): chess move in which the king moves 2 squares toward a rook, while the rook moves to the square passed over by the king
4. Castle (wd:Q386880): American police procedural comedy-drama television series (2009-2016)
5. château, also known as castle, chateau, landschloss (wd:Q751876): type of manor house mostly built by noble families for representative purposes
6. Castle, also known as Castle, OK (wd:Q3287085): town in Okfuskee County, Oklahoma, United States
7. Peveril Castle, also known as Peak Castle, Peveril Castle eleventh to fourteenth century tower keep castle, Castleton Castle (wd:Q255574): castle in Castleton, Derbyshire, England, UK
8. Peveril Castle, also known as Peveril Castle eleventh to fourteenth century tower keep castle, Peak Castle, Castleton Castle (wd:Q255574): castle in Castleton, Derbyshire, England, UK
9. The Castle, also known as Castle (wd:Q694533): 1997 film directed by Michael Haneke
10. Castle of Fougères, also known as Castle, Castle of Fougeres (wd:Q724929): French castle

[Assistant]
The entity for castle as a type of fortified structure is wd:Q23413.

Step 3: Find the property that links castles to their location (specifically the historic county of Kent). I will search for properties related to location for the entity castle (wd:Q23413).

[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. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject
3. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
4. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as p/wdt): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
5. 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
6. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
7. 3D model, also known as 3-D model, model, printable model, STL file, three-dimensional model (wd:P4896 as p/wdt): representation of any three-dimensional surface of an object
8. 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)
9. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic
10. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

No other items found

[Assistant] The search for location-related properties for castles did not directly yield a property for location or situated in. I will now search for properties related to location for the entity Kent (wd:Q23298) to find a suitable property that links entities to Kent.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. 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
3. detail map, also known as map (wd:P1621 as p/wdt): map containing details about the entire location, locator map image
4. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
5. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
6. 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
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
8. 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)
9. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
10. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject

No other items found

[Assistant]
The property "located in the administrative territorial entity" (wdt:P131) is suitable to link castles to the historic county of Kent.

Step 4: Find properties for images and images of design plans of the castles. I already found the property for image (wdt:P18) in the previous search.

Next, I will search for properties related to design plans or architectural plans for castles.

[Tool]
Top 10 property alternatives:
1. image of design plans, also known as plan view image, plan view, plan image, floor plan, design plan (wd:P3311 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): image representing the plan of a building or place, detail map
2. study or design for, also known as design for, draft for, first version of, preparatory work for, study for (wd:P6606 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
3. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): desired result or outcome
4. designed by, also known as architect, designer, has designer (wd:P287 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or organization which designed the object, creator
5. cover art by, also known as jacket art by, sleeve art by, designer, cover design by, cover artist (wd:P736 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): name of person or team creating cover artwork for book, record album, single record etc.
6. study or design for this work (wd:P13296 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): preliminary work for this finished work
7. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
8. character designer, also known as character modeler, designed by, character designed by (wd:P8670 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person in charge of developing the style and concept of a character in a video game, anime or other creative work, significant person
9. intended public, also known as for, user group, target market, target group, target demographic (wd:P2360 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): this work, product, object or event is intended for, or has been designed to that person or group of people, animals, plants, etc
10. designed to carry, also known as cargo, carries, design payload, intended cargo, intended payload (wd:P3349 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): what the vehicle or class of vehicles is or was designed to carry

[Assistant]
The property "image of design plans" (wdt:P3311) is suitable for images representing the plan of a building or place.

Step 5: Now I will build a SPARQL query to find castles (wd:Q23413) located in the historic county of Kent (wd:Q23298) using the property "located in the administrative territorial entity" (wdt:P131). I will also retrieve their images (wdt:P18) and images of their design plans (wdt:P3311) if available. I will include labels for the castles as well.

[Tool] Got no rows and 4 columns

[Assistant]
The query returned no results, which might be because some castles in Kent are not directly linked to the historic county of Kent (wd:Q23298) but possibly to other administrative entities within Kent.

Step 6: I will try to find castles that are located in any administrative territorial entity that is part of Kent. For that, I will first find administrative entities that are part of Kent.

[Tool]
Got 10 rows and 2 columns:
| entity                                          | entityLabel                          |
| ----------------------------------------------- | ------------------------------------ |
| Bomb Alley (wd:Q104474605)                      | Bomb Alley (en)                      |
| Chambers (wd:Q109528966)                        | Chambers (en)                        |
| Thomas Barton (wd:Q109731011)                   | Thomas Barton (en)                   |
| River Bewl (wd:Q10991837)                       | River Bewl (en)                      |
| RH&DR No. 1 “Green Goddess” (wd:Q109941350)     | RH&DR No. 1 “Green Goddess” (en)     |
| Sheppey FM 92.2 (wd:Q114588087)                 | Sheppey FM 92.2 (en)                 |
| Dartford Creek Barrier (wd:Q115957362)          | Dartford Creek Barrier (en)          |
| RH&DR No. 9 “Winston Churchill” (wd:Q116960659) | RH&DR No. 9 “Winston Churchill” (en) |
| RH&DR No. 8 “Hurricane” (wd:Q116960660)         | RH&DR No. 8 “Hurricane” (en)         |
| RH&DR No. 6 “Samson” (wd:Q116960663)            | RH&DR No. 6 “Samson” (en)            |

[Assistant]
The entities that are part of Kent returned are not administrative territorial entities but other types of entities.

Step 7: I will try a different approach. I will search for castles located in Kent by checking if the castle's location (wdt:P131) is a place that is located in Kent (wd:Q23298). This means I will check for castles where the location is linked to Kent through a chain of "located in the administrative territorial entity" (wdt:P131).

I will build a SPARQL query to find castles where ?location wdt:P131 wd:Q23298 and the castle is located in ?location. I will also retrieve images and images of design plans if available.

[Tool]
Got 2 rows and 4 columns:
| castle                         | castleLabel           | image                                                                                | designPlanImage                                                                                |
| ------------------------------ | --------------------- | ------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Rochester Castle (wd:Q1125527) | Rochester Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20Keep%20and%20Bailey%200038stcp.JPG> | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20and%20Keep%2C%20derived%20from%20Penny%20cyclopaedia%20%281836%29%20V6%20page%20355.jpg> |
| Rochester Castle (wd:Q1125527) | Rochester Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20Keep%20and%20Bailey%200038stcp.JPG> | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20keep%20plan.JPG>                                                                         |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies castles located in the historic county of Kent and retrieves their images and design plan images. However, the query currently returns duplicate rows for the same castle due to multiple design plan images. To improve, the query should be refined to aggregate multiple design plan images per castle or to return distinct castles with all associated images. Additionally, the query uses wdt:P131 twice in a way that may not correctly capture the historic county of Kent; it would be better to ensure that the castle is located within Kent directly or through a chain of locations. Also, the label retrieval should be inside an OPTIONAL clause to avoid missing results if labels are absent. Overall, the answer is correct but the query can be optimized for clarity and completeness.

[Assistant]
Thank you for the feedback. To address the issues:
1. I will use GROUP_CONCAT to aggregate multiple design plan images per castle to avoid duplicate rows.
2. I will modify the location check to include castles located directly in Kent or in any administrative entity that is part of Kent using a property path.
3. I will ensure the label retrieval is inside an OPTIONAL clause.

I will now refine the SPARQL query accordingly.

[Tool]
Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| castle                         | castleLabel           | image                                                                                | designPlanImages                                                    |
| ------------------------------ | --------------------- | ------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Rochester Castle (wd:Q1125527) | Rochester Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Rochester%20Castle%20Keep%20and%20Bailey%200038stcp.JPG>        | http://commons.wikimedia.org/wik...%281836%29%20V6%20page%20355.jpg |
| Hever Castle (wd:Q1132683)     | Hever Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Hever%20Castle.jpg>                                             |                                                                     |
| Deal Castle (wd:Q1180981)      | Deal Castle (en)      | <http://commons.wikimedia.org/wiki/Special:FilePath/Deal%20Castle%20Aerial%20View.jpg>                              | http://commons.wikimedia.org/wik...20Castle%20plan%20unlabelled.jpg |
| Deal Castle (wd:Q1180981)      | Deal Castle (en)      | <http://commons.wikimedia.org/wiki/Special:FilePath/Deal%20Castle%20Front.jpg>                                      | http://commons.wikimedia.org/wik...20Castle%20plan%20unlabelled.jpg |
| Eynsford Castle (wd:Q1385848)  | Eynsford Castle (en)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Eynsford%20Castle%20%2820%29%20%2818373797302%29%20%282%29.jpg> |                                                                     |
| ...                            | ...                   | ...                                                                                | ...                                                                 |
| Stone Castle (wd:Q7618887)     | Stone Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Stone%20Castle%20-%20geograph.org.uk%20-%20893976.jpg>          |                                                                     |
| Tonbridge Castle (wd:Q7820768) | Tonbridge Castle (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/TonbridgeCastle0021.JPG>                                        |                                                                     |
| Upnor Castle (wd:Q7898392)     | Upnor Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Upnor%200109.JPG>                                               | http://commons.wikimedia.org/wik...astle%20OS%20map%20annotated.png |
| Upnor Castle (wd:Q7898392)     | Upnor Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/Upnor%20Castle%20trimmed.jpg>                                   | http://commons.wikimedia.org/wik...astle%20OS%20map%20annotated.png |
| Dover Castle (wd:Q950970)      | Dover Castle (en)     | <http://commons.wikimedia.org/wiki/Special:FilePath/1%20dover%20castle%20aerial%20panorama%202017.jpg>              | http://commons.wikimedia.org/wik...zabeth%20Fleuron%20T081529-8.png |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves castles located in the historic county of Kent along with their images and images of their design plans if available. It uses appropriate properties and filters to ensure the castles are within Kent and aggregates design plan images to avoid duplicates. The answer provides a clear summary of the results and examples of castles with their images and design plans. The query and answer meet the requirements of the user question fully and accurately.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item WHERE {
  ?item wdt:P279 * wd:Q15169167 .
}

Got 14 rows and 1 column, showing the first 5 and last 5 rows below:
| item                              |
| --------------------------------- |
| junshi (wd:Q1071761)              |
| domoji (wd:Q12593000)             |
| guillotine (wd:Q128015)           |
| seppuku (wd:Q133462)              |
| Maiden (wd:Q1434462)              |
| ...                               |
| forced suicide (wd:Q2746270)      |
| decapitation device (wd:Q3537288) |
| trampling (wd:Q37853778)          |
| cement shoes (wd:Q5058656)        |
| garrote (wd:Q840649)              |

The distinct items that are subclasses of execution methods (wd:Q15169167) or subclasses of those subclasses recursively are 14 in total, including junshi, domoji, guillotine, seppuku, Maiden, forced suicide, decapitation device, trampling, cement shoes, and garrote among others.

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

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

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

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

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

[User] Which distinct items are subclasses of execution methods or the subclasses of those, and so on?

[Assistant]
To answer this question, I need to identify the entity "execution methods" in Wikidata and then find all distinct items that are subclasses of this entity or subclasses of those subclasses recursively.

Step 1: Search for the entity "execution methods" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. execution method, also known as capital punishment method, method of execution (wd:Q15169167): method to carry out execution
2. execution method (wd:L458677-S1)
3. execution method (wd:L328563-S1)
4. Methods of Execution (wd:Q6823865): album by Brodequin
5. The Method of Execution (wd:Q93855965): scientific article published in October 1953
6. The Method of Execution. (wd:Q55401364): scientific article
7. Application execution method and apparatus (wd:Q118646169): US patent 11196781
8. Processor and instruction execution method (wd:Q121070420): US patent 11442732
9. Transaction execution method and system (wd:Q120640861): US patent 11308494
10. Service execution method and device (wd:Q121362021): US patent 11347825

[Assistant]
The entity "execution method" that matches the context of methods of execution (capital punishment method) is wd:Q15169167.

Step 2: I will now write a SPARQL query to find all distinct items that are subclasses of "execution method" (wd:Q15169167) or subclasses of those subclasses recursively. This requires traversing the subclass hierarchy.

I will start with a query to find all subclasses (direct and indirect) of wd:Q15169167.

[Tool]
Got 14 rows and 1 column, showing the first 5 and last 5 rows below:
| item                              |
| --------------------------------- |
| junshi (wd:Q1071761)              |
| domoji (wd:Q12593000)             |
| guillotine (wd:Q128015)           |
| seppuku (wd:Q133462)              |
| Maiden (wd:Q1434462)              |
| ...                               |
| forced suicide (wd:Q2746270)      |
| decapitation device (wd:Q3537288) |
| trampling (wd:Q37853778)          |
| cement shoes (wd:Q5058656)        |
| garrote (wd:Q840649)              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property path wdt:P279* to find all subclasses of the class 'execution methods' (wd:Q15169167) recursively, which matches the user's question. The query returns distinct items as requested, and the answer provides a clear summary with examples from the results. The query and answer are accurate, complete, and follow the rules for SPARQL queries. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?tunnel ?tunnelLabel ?type ?typeLabel ?yearStarted ?inception ?officialOpening ?height ?length ( GROUP_CONCAT( DISTINCT ?islandLabel ; separator = ", " ) AS ?islands ) WHERE {
  ?tunnel wdt:P31 / wdt:P279 * wd:Q44377 .
  ?tunnel ( wdt:P17 | wdt:P131 ) wd:Q4628 .
  ?tunnel wdt:P31 ?type .
  OPTIONAL {
    ?tunnel wdt:P580 ?yearStarted .
  }
  OPTIONAL {
    ?tunnel wdt:P571 ?inception .
  }
  OPTIONAL {
    ?tunnel wdt:P1619 ?officialOpening .
  }
  OPTIONAL {
    ?tunnel wdt:P2048 ?height .
  }
  OPTIONAL {
    ?tunnel wdt:P2043 ?length .
  }
  OPTIONAL {
    ?tunnel wdt:P706 ?island .
    ?island rdfs:label ?islandLabel
    FILTER ( LANG( ?islandLabel ) = "en" )
  }
  ?tunnel rdfs:label ?tunnelLabel FILTER ( LANG( ?tunnelLabel ) = "en" ) ?type rdfs:label ?typeLabel FILTER ( LANG( ?typeLabel ) = "en" )
}
GROUP BY ?tunnel ?tunnelLabel ?type ?typeLabel ?yearStarted ?inception ?officialOpening ?height ?length
ORDER BY ?tunnelLabel

The tunnels in the Faroe Islands with their details are:

1. Árnafjarðartunnilin
   - Type: tunnel
   - Inception: 1965
   - Height: 3.1 meters
   - Length: 1680 meters
   - Islands: Borðoy

2. Eysturoyartunnilin
   - Type: undersea tunnel
   - Inception: 2020
   - Official opening: 2020-12-19
   - Length: 11240 meters
   - Islands: Streymoy, Eysturoy

3. Gásadalstunnilin
   - Type: road tunnel
   - Inception: 2006
   - Official opening: 2006-12-21
   - Height: 4.5 meters
   - Length: 1410 meters
   - Island: Vágar

4. Hovstunnilin
   - Type: road tunnel
   - Inception: 2007
   - Official opening: 2007-10-20
   - Height: 4.6 meters
   - Length: 2435 meters
   - Island: Suðuroy

5. Hvalbiartunnilin
   - Type: road tunnel
   - Inception: 1963
   - Height: 3.2 meters
   - Length: 2500 meters
   - Island: Suðuroy

6. Norðoyatunnilin
   - Type: undersea tunnel
   - Official opening: 2006-04-29
   - Height: 4.6 meters
   - Length: 6300 meters
   - Islands: Borðoy, Eysturoy

7. Sandoy tunnel
   - Type: undersea tunnel
   - Height: 4.6 meters
   - Length: 14500 meters

8. Sumbiartunnilin
   - Type: tunnel
   - Inception: 1997
   - Official opening: 1997-01-01
   - Height: 4.6 meters
   - Length: 3240 meters
   - Island: Suðuroy

9. Trøllanes Tunnel
   - Type: road tunnel
   - Inception: 1985
   - Height: 3.5 meters
   - Length: 2248 meters
   - Island: Kalsoy

10. Vágatunnilin
    - Type: undersea tunnel
    - Inception: 2002
    - Official opening: 2002-12-10
    - Height: 4.6 meters
    - Length: 4940 meters
    - Islands: Streymoy, Vágar

11. Viðareiðistunnilin
    - Type: road tunnel
    - Inception: 2016
    - Length: 1939 meters
    - Island: Viðoy

12. Villingardal Tunnel
    - Type: road tunnel
    - Inception: 1979
    - Official opening: 1979-01-01
    - Height: 3.4 meters
    - Length: 1193 meters
    - Island: Kalsoy

Note: Year started and inception data are mostly missing or not available for many tunnels, which is consistent with the data in 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-sebastian

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

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

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

[User] What are the tunnels in the Faroe Islands? For each tunnel, include also: what it is an instance or subclass of; the year it started, its year of inception, or its year of official opening (if available); its height (if available), its length (if available), and the islands it is associated with (if available)?

[Assistant]
To answer this question, I need to identify tunnels located in the Faroe Islands and retrieve their relevant properties: instance or subclass type, year started/inception/official opening, height, length, and associated islands.

Step 1: Identify the entity for "Faroe Islands."
Step 2: Identify tunnels located in the Faroe Islands.
Step 3: Retrieve for each tunnel:
  - Its instance or subclass type
  - Year started, inception, or official opening
  - Height
  - Length
  - Associated islands

I will start by searching for the entity "Faroe Islands."

[Tool]
Top 10 entity alternatives:
1. Faroe Islands, also known as Faroe Isles, Faroer, Far Oer, Färöer, Faroes (wd:Q4628): North Atlantic archipelago organized as an autonomous constituent country of the Kingdom of Denmark
2. Faroe Islands (wd:Q106103102): Folketing constituency
3. Faroe Islands (wd:Q103913273): encyclopedia article
4. Faroe Islands (wd:L254096)
5. Faroe Islands (wd:L254096-F1)
6. flag of the Faroe Islands, also known as Faroe Islands flag, Faroese flag, flag of Faroe Islands, Merkið, the Faroe Islands flag (wd:Q4575): national flag of the Faroe Islands
7. Faroese, also known as Faroese people, Faroe Islands residents, Faroe Islanders, Faeroes, Faeroese (wd:Q223179): people from or residents of the Faroe Islands
8. Faroe Islands Cup (wd:Q899180): men's national association football tournament in the Faroe Islands
9. geography of the Faroe Islands, also known as atlas of the Faroe Islands, Faroe Islands geography, the Faroe Islands geography (wd:Q671799)
10. Hov, also known as Hov, Faroe Islands (wd:Q1025136): settlement on Suduroy, Faroe Islands

[Assistant]
The entity for the Faroe Islands is wd:Q4628.

Next, I will find tunnels located in the Faroe Islands. To do this, I will search for tunnels that have a location or is located in the Faroe Islands (wd:Q4628). I will start by searching for tunnels that are instances or subclasses of tunnel and are located in the Faroe Islands.

[Tool]
Top 10 entity alternatives:
1. tunnel (wd:Q44377): underground passageway
2. The Tunnel, also known as Tunnel (wd:Q24113685): 2016 film directed by Kim Seong-hun
3. nutmeg, also known as meg, tunnel (wd:Q4350189): football and field hockey technique
4. The Tunnel, also known as Der Tunnel, Tunnel (wd:Q29327): 2011 German television film directed by Roland Suso Richter
5. Tunnel (wd:Q28700201): 2017 South Korean television series
6. The Tunnel, also known as Der Tunnel, Tunnel (wd:Q15134928): 1915 silent film directed by William Wauer
7. The Tunnel, also known as Tunnel (wd:Q17425044): 2014 film directed by Park Gyu-taek
8. The Tunnel, also known as Tunnel (wd:Q3015204): 2011 film by Carlo Ledesma
9. The Tunnel, also known as Le Tunnel, Tunnel (wd:Q18210057): 1933 French film
10. The Tunnel, also known as Der Tunnel, Tunnel (wd:Q1197631): 1933 film by Curtis Bernhardt in German

[Assistant]
The entity for tunnel is wd:Q44377.

Now I will write a SPARQL query to find tunnels (instances or subclasses of wd:Q44377) that are located in the Faroe Islands (wd:Q4628). I will also try to retrieve the requested properties: instance or subclass type, year started/inception/official opening, height, length, and associated islands.

I will start with a basic query to find tunnels located in the Faroe Islands and their instance or subclass type.

[Tool] Got no rows and 4 columns

[Assistant]
No tunnels were found with the property "located in" (wdt:P276) Faroe Islands (wd:Q4628). I will try another property for location, such as "country" (wdt:P17) or "located in the administrative territorial entity" (wdt:P131), to find tunnels in the Faroe Islands. I will also check for subclasses of tunnel in the Faroe Islands.

I will try a query to find tunnels that are instances or subclasses of tunnel and have the Faroe Islands as the country or administrative territorial entity.

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

[Assistant]
The query failed due to the use of SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for labels.

I will try again to find tunnels that are instances or subclasses of tunnel and have the Faroe Islands as the country or administrative territorial entity, and get their labels using rdfs:label.

[Tool]
Got 10 rows and 4 columns:
| tunnel                            | tunnelLabel              | type                          | typeLabel            |
| --------------------------------- | ------------------------ | ----------------------------- | -------------------- |
| Norðoyatunnilin (wd:Q1063368)     | Norðoyatunnilin (en)     | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |
| Vágatunnilin (wd:Q955238)         | Vágatunnilin (en)        | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |
| Sandoy tunnel (wd:Q1256043)       | Sandoy tunnel (en)       | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |
| Sandoy tunnel (wd:Q1256043)       | Sandoy tunnel (en)       | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |
| Eysturoyartunnilin (wd:Q27830387) | Eysturoyartunnilin (en)  | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |
| Kollfjarðartunnilin (wd:Q1115265) | Kollfjarðartunnilin (en) | road tunnel (wd:Q2354973)     | road tunnel (en)     |
| wd:Q97924573                      |                          | road tunnel (wd:Q2354973)     | road tunnel (en)     |
| Hovstunnilin (wd:Q820859)         | Hovstunnilin (en)        | road tunnel (wd:Q2354973)     | road tunnel (en)     |
| Trøllanes Tunnel (wd:Q56199598)   | Trøllanes Tunnel (en)    | road tunnel (wd:Q2354973)     | road tunnel (en)     |
| Mikladal Tunnel (wd:Q56199553)    | Mikladal Tunnel (en)     | road tunnel (wd:Q2354973)     | road tunnel (en)     |

[Assistant]
I found 10 tunnels in the Faroe Islands with their types:
- Norðoyatunnilin (undersea tunnel)
- Vágatunnilin (undersea tunnel)
- Sandoy tunnel (undersea tunnel)
- Eysturoyartunnilin (undersea tunnel)
- Kollfjarðartunnilin (road tunnel)
- A tunnel with no label (road tunnel)
- Hovstunnilin (road tunnel)
- Trøllanes Tunnel (road tunnel)
- Mikladal Tunnel (road tunnel)

Next, I will extend the query to also retrieve the year it started, year of inception, or year of official opening, height, length, and associated islands (if available) for each tunnel. I will use properties:
- year started (P580)
- inception (P571)
- official opening (P1619)
- height (P2048)
- length (P2043)
- island (P706)

I will include these properties as optional in the query.

[Tool]
Got 20 rows and 11 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| tunnel                                  | tunnelLabel                  | type                          | typeLabel            | yearStarted | ... | officialOpening                     | height            | length              | island                | islandLabel   |
| --------------------------------------- | ---------------------------- | ----------------------------- | -------------------- | ----------- | --- | ----------------------------------- | ----------------- | ------------------- | --------------------- | ------------- |
| Norðoyatunnilin (wd:Q1063368)           | Norðoyatunnilin (en)         | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | ... | 2006-04-29T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 6300 (xsd:decimal)  | Eysturoy (wd:Q200939) | Eysturoy (en) |
| Norðoyatunnilin (wd:Q1063368)           | Norðoyatunnilin (en)         | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | ... | 2006-04-29T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 6300 (xsd:decimal)  | Borðoy (wd:Q202170)   | Borðoy (en)   |
| Vágatunnilin (wd:Q955238)               | Vágatunnilin (en)            | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | ... | 2002-12-10T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 4940 (xsd:decimal)  | Streymoy (wd:Q192540) | Streymoy (en) |
| Vágatunnilin (wd:Q955238)               | Vágatunnilin (en)            | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | ... | 2002-12-10T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 4940 (xsd:decimal)  | Vágar (wd:Q207675)    | Vágar (en)    |
| Eysturoyartunnilin (wd:Q27830387)       | Eysturoyartunnilin (en)      | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | ... | 2020-12-19T00:00:00Z (xsd:dateTime) |                   | 11240 (xsd:decimal) | Eysturoy (wd:Q200939) | Eysturoy (en) |
| ...                                     | ...                          | ...                           | ...                  | ...         | ... | ...                                 | ...               | ...                 | ...                   | ...           |
| Mikladal Tunnel (wd:Q56199553)          | Mikladal Tunnel (en)         | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | ... |                                     | 3.7 (xsd:decimal) | 1082 (xsd:decimal)  | Kalsoy (wd:Q212043)   | Kalsoy (en)   |
| Trøllanes Tunnel (wd:Q56199598)         | Trøllanes Tunnel (en)        | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | ... |                                     | 3.5 (xsd:decimal) | 2248 (xsd:decimal)  | Kalsoy (wd:Q212043)   | Kalsoy (en)   |
| Hovstunnilin (wd:Q820859)               | Hovstunnilin (en)            | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | ... | 2007-10-20T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 2435 (xsd:decimal)  | Suðuroy (wd:Q210309)  | Suðuroy (en)  |
| new Árnafjarðartunnilin (wd:Q131993233) | new Árnafjarðartunnilin (en) | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | ... |                                     | 3.1 (xsd:decimal) | 1961 (xsd:decimal)  | Borðoy (wd:Q202170)   | Borðoy (en)   |
| Kollfjarðartunnilin (wd:Q1115265)       | Kollfjarðartunnilin (en)     | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | ... |                                     | 4.6 (xsd:decimal) | 2816 (xsd:decimal)  | Streymoy (wd:Q192540) | Streymoy (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer provides a comprehensive list of tunnels in the Faroe Islands with many details as requested. However, the query results show some tunnels without labels and some with incomplete data, which might confuse users (e.g., "A tunnel with no label"). The query also returns multiple rows for the same tunnel if it is associated with multiple islands, which could be consolidated or clarified in the presentation. Additionally, the query uses both P131 and P17 to filter for Faroe Islands, which is good, but the property for official opening (P1619) is used correctly. The answer could be improved by ensuring all tunnels have labels if available, and by clarifying or consolidating multiple island associations per tunnel. Also, the answer should mention that some data points like year started or inception are mostly missing in the results, which is consistent with the data but worth noting. Overall, the SPARQL query is well-constructed but the presentation of results could be refined for clarity and completeness.

[Assistant]
Thank you for the feedback. I will refine the query and answer presentation accordingly.

Refinements planned:
1. Ensure tunnels have labels by filtering out those without English labels.
2. Consolidate multiple island associations per tunnel into a single group to avoid duplicate rows.
3. Mention in the answer that year started and inception data are mostly missing.
4. Present the results clearly with consolidated island names per tunnel.

I will first refine the SPARQL query to only include tunnels with English labels and group islands per tunnel using GROUP_CONCAT. I will also order results by tunnel label.

[Tool]
Got 25 rows and 10 columns, showing the first 5 and last 5 rows below:
| tunnel                             | tunnelLabel              | type                          | typeLabel            | yearStarted | inception                           | officialOpening                     | height            | length              | islands            |
| ---------------------------------- | ------------------------ | ----------------------------- | -------------------- | ----------- | ----------------------------------- | ----------------------------------- | ----------------- | ------------------- | ------------------ |
| Árnafjarðartunnilin (wd:Q21814506) | Árnafjarðartunnilin (en) | tunnel (wd:Q44377)            | tunnel (en)          |             | 1965-01-01T00:00:00Z (xsd:dateTime) |                                     | 3.1 (xsd:decimal) | 1680 (xsd:decimal)  | Borðoy             |
| Eysturoyartunnilin (wd:Q27830387)  | Eysturoyartunnilin (en)  | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | 2020-01-01T00:00:00Z (xsd:dateTime) | 2020-12-19T00:00:00Z (xsd:dateTime) |                   | 11240 (xsd:decimal) | Streymoy, Eysturoy |
| Gásadalstunnilin (wd:Q1558711)     | Gásadalstunnilin (en)    | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 2006-01-01T00:00:00Z (xsd:dateTime) | 2006-12-21T00:00:00Z (xsd:dateTime) | 4.5 (xsd:decimal) | 1410 (xsd:decimal)  | Vágar              |
| Hovstunnilin (wd:Q820859)          | Hovstunnilin (en)        | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 2007-01-01T00:00:00Z (xsd:dateTime) | 2007-10-20T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 2435 (xsd:decimal)  | Suðuroy            |
| Hvalbiartunnilin (wd:Q15700972)    | Hvalbiartunnilin (en)    | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 1963-01-01T00:00:00Z (xsd:dateTime) |                                     | 3.2 (xsd:decimal) | 2500 (xsd:decimal)  | Suðuroy            |
| ...                                | ...                      | ...                           | ...                  | ...         | ...                                 | ...                                 | ...               | ...                 | ...                |
| Sumbiartunnilin (wd:Q19391107)     | Sumbiartunnilin (en)     | tunnel (wd:Q44377)            | tunnel (en)          |             | 1997-01-01T00:00:00Z (xsd:dateTime) | 1997-01-01T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 3240 (xsd:decimal)  | Suðuroy            |
| Trøllanes Tunnel (wd:Q56199598)    | Trøllanes Tunnel (en)    | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 1985-01-01T00:00:00Z (xsd:dateTime) |                                     | 3.5 (xsd:decimal) | 2248 (xsd:decimal)  | Kalsoy             |
| Vágatunnilin (wd:Q955238)          | Vágatunnilin (en)        | undersea tunnel (wd:Q1317590) | undersea tunnel (en) |             | 2002-01-01T00:00:00Z (xsd:dateTime) | 2002-12-10T00:00:00Z (xsd:dateTime) | 4.6 (xsd:decimal) | 4940 (xsd:decimal)  | Vágar, Streymoy    |
| Viðareiðistunnilin (wd:Q26793908)  | Viðareiðistunnilin (en)  | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 2016-01-01T00:00:00Z (xsd:dateTime) |                                     |                   | 1939 (xsd:decimal)  | Viðoy              |
| Villingardal Tunnel (wd:Q56199355) | Villingardal Tunnel (en) | road tunnel (wd:Q2354973)     | road tunnel (en)     |             | 1979-01-01T00:00:00Z (xsd:dateTime) | 1979-01-01T00:00:00Z (xsd:dateTime) | 3.4 (xsd:decimal) | 1193 (xsd:decimal)  | Kalsoy             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer provides a comprehensive and well-structured list of tunnels in the Faroe Islands, including all requested details such as type, inception or official opening dates, height, length, and associated islands. The SPARQL query correctly retrieves instances or subclasses of tunnels located in the Faroe Islands and includes optional properties for the requested attributes. The grouping and ordering are appropriate, and the labels are filtered for English. The answer also notes the occasional missing data, which aligns with the Wikidata content. Overall, the output is accurate, complete, and well-formatted for the user's question.