PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?item ?itemLabel ?associatedProperty ?associatedPropertyLabel ?propertyType ?propertyTypeLabel WHERE {
  ?item wdt:P1963 ?associatedProperty .
  ?associatedProperty wdt:P31 ?propertyType .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?associatedProperty rdfs:label ?associatedPropertyLabel FILTER ( LANG( ?associatedPropertyLabel ) = "en" )
  }
  OPTIONAL {
    ?propertyType rdfs:label ?propertyTypeLabel FILTER ( LANG( ?propertyTypeLabel ) = "en" )
  }
}
LIMIT 50

Got 50 rows and 6 columns, showing the first 5 and last 5 rows below:
| item                         | itemLabel         | associatedProperty                  | associatedPropertyLabel       | propertyType                                                                 | propertyTypeLabel                                                  |
| ---------------------------- | ----------------- | ----------------------------------- | ----------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------------------------ |
| wd:L692149                   |                   | properties for this type (wd:P1963) | properties for this type (en) | Wikidata property about Wikidata entities themselves (wd:Q103824108)         | Wikidata property about Wikidata entities themselves (en)          |
| wd:L692149                   |                   | properties for this type (wd:P1963) | properties for this type (en) | Wikidata property for documentation of properties (wd:Q19820110)             | Wikidata property for documentation of properties (en)             |
| wd:L701947                   |                   | species kept (wd:P1990)             | species kept (en)             | Wikidata property related to biology (wd:Q22988603)                          | Wikidata property related to biology (en)                          |
| wd:L701990                   |                   | muscle action (wd:P3310)            | muscle action (en)            | Wikidata property related to anatomy (wd:Q42752243)                          | Wikidata property related to anatomy (en)                          |
| failure mode (wd:Q100151658) | failure mode (en) | associated hazard (wd:P3335)        | associated hazard (en)        | curated Wikidata property (wd:Q121928698)                                    | curated Wikidata property (en)                                     |
| ...                          | ...               | ...                                 | ...                           | ...                                                                          | ...                                                                |
| periodical (wd:Q1002697)     | periodical (en)   | SINTA journal ID (wd:P11442)        | SINTA journal ID (en)         | Wikidata property for authority control (publishers) (wd:Q107211254)         | Wikidata property for authority control (publishers) (en)          |
| periodical (wd:Q1002697)     | periodical (en)   | J-STAGE journal ID (wd:P11504)      | J-STAGE journal ID (en)       | Wikidata property for authority control for academic journals (wd:Q57589544) | Wikidata property for authority control for academic journals (en) |
| periodical (wd:Q1002697)     | periodical (en)   | Scopus source ID (wd:P1156)         | Scopus source ID (en)         | Wikidata property for authority control for academic journals (wd:Q57589544) | Wikidata property for authority control for academic journals (en) |
| periodical (wd:Q1002697)     | periodical (en)   | Scopus source ID (wd:P1156)         | Scopus source ID (en)         | Wikidata property related to research (wd:Q80840868)                         | Wikidata property related to research (en)                         |
| periodical (wd:Q1002697)     | periodical (en)   | ProQuest publication ID (wd:P11917) | ProQuest publication ID (en)  | Wikidata property for authority control for works (wd:Q19833377)             | Wikidata property for authority control for works (en)             |

The query returns items where the property "properties for this type" (wd:P1963) is used. For each such item, it retrieves the associated properties linked by wd:P1963 and the characteristics of these properties in terms of their property types (instance of). The results include the items, their labels, the associated properties, their labels, and the property types with labels. This provides a comprehensive overview of the items using the property, the associated properties, and their characteristics as requested.

[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 items where the property "properties for this type" is used, along with the associated properties and their characteristics?

[Assistant]
The user question is asking for items where the property "properties for this type" is used, along with the associated properties and their characteristics.

Step 1: Identify the property "properties for this type" in Wikidata.
I will search for the property "properties for this type" to find its identifier.

I will now search for the property "properties for this type".

[Tool]
Top 10 property alternatives:
1. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): when this subject is used as object of “instance of”, the following properties normally apply
2. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): main Wikidata property for this item
3. Wikidata property example for properties, also known as example for properties, property example (wd:P2271 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): examples of using a property in an item statement, Wikidata property example
4. inappropriate property for this type (wd:P8952 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): property that should not be present for instances of that element
5. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
6. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): item corresponding to the concept represented by the property
7. characteristic of, also known as quality of, property of, inheres in, of (wd:P13044 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value
8. type of unit for this property (wd:P2876 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): units for this property are all instances of this item
9. related property, also known as rdfs:seeAlso, related properties, see also, seealso (wd:P1659 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): used to indicate another property that might provide additional information about the subject
10. Wikidata property example for senses, also known as property example for senses (wd:P5977 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): example where this Wikidata property is used; target sense is on...ualifier the property being described given the associated value

[Assistant]
The property "properties for this type" corresponds to wd:P1963 in Wikidata. It is described as "when this subject is used as object of 'instance of', the following properties normally apply."

Step 2: Find items where this property (wd:P1963) is used as a statement property. These items will be the subjects of statements with property wd:P1963.

Step 3: For each such item, retrieve the associated properties and their characteristics. The associated properties are the objects of the statements with property wd:P1963.

I will now write a SPARQL query to get items where wd:P1963 is used, along with the associated properties. I will also try to get characteristics of these associated properties if available. I will start with a basic query to get items and associated properties.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                        | itemLabel                        | associatedProperty                 | associatedPropertyLabel      |
| ------------------------------------------- | -------------------------------- | ---------------------------------- | ---------------------------- |
| fictional intellectual work (wd:Q125942413) | fictional intellectual work (en) | video (wd:P10)                     | video (en)                   |
| animated film (wd:Q202866)                  | animated film (en)               | video (wd:P10)                     | video (en)                   |
| intellectual work (wd:Q15621286)            | intellectual work (en)           | video (wd:P10)                     | video (en)                   |
| creative work (wd:Q17537576)                | creative work (en)               | video (wd:P10)                     | video (en)                   |
| judiciary (wd:Q105985)                      | judiciary (en)                   | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |
| ...                                         | ...                              | ...                                | ...                          |
| comarcal council elections (wd:Q108509955)  | comarcal council elections (en)  | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |
| wd:Q13406463                                | Wikimedia list article (en)      | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |
| Région de France (wd:Q17561724)             | Région de France (en)            | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |
| municipal election (wd:Q152450)             | municipal election (en)          | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |
| legal case (wd:Q2334719)                    | legal case (en)                  | applies to jurisdiction (wd:P1001) | applies to jurisdiction (en) |

[Assistant]
I found items where the property "properties for this type" (wd:P1963) is used along with the associated properties. For example, "fictional intellectual work" uses the property "video" (wd:P10), "judiciary" uses the property "applies to jurisdiction" (wd:P1001), etc.

Step 4: Now I will try to get characteristics of these associated properties. Characteristics could be qualifiers or other properties related to these properties. I will try to get some common characteristics of these associated properties such as their datatype, property type, or other metadata.

I will write a query to get some characteristics of the associated properties used with wd:P1963.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query to get characteristics of the associated properties timed out, likely because it was too broad or complex.

I will simplify the query to just get the property type (instance of) for the associated properties used with wd:P1963. This should give a basic characteristic of the properties.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| associatedProperty                                  | associatedPropertyLabel                       | propertyType                                                           | propertyTypeLabel                                            |
| --------------------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------- | ------------------------------------------------------------ |
| video (wd:P10)                                      | video (en)                                    | curated Wikidata property (wd:Q121928698)                              | curated Wikidata property (en)                               |
| video (wd:P10)                                      | video (en)                                    | Wikidata property to link to Commons (wd:Q18610173)                    | Wikidata property to link to Commons (en)                    |
| video (wd:P10)                                      | video (en)                                    | Wikidata property for an identifier (wd:Q19847637)                     | Wikidata property for an identifier (en)                     |
| video (wd:P10)                                      | video (en)                                    | Wikidata property for linking to a representative image (wd:Q26940804) | Wikidata property for linking to a representative image (en) |
| applies to jurisdiction (wd:P1001)                  | applies to jurisdiction (en)                  | Wikidata qualifier (wd:Q15720608)                                      | Wikidata qualifier (en)                                      |
| ...                                                 | ...                                           | ...                                                                    | ...                                                          |
| Meetup group id (wd:P10048)                         | Meetup group id (en)                          | Wikidata property related to online communities (wd:Q30041186)         | Wikidata property related to online communities (en)         |
| Nederlandse Voornamenbank ID (wd:P10050)            | Nederlandse Voornamenbank ID (en)             | Wikidata property to indicate a name (wd:Q19643892)                    | Wikidata property to indicate a name (en)                    |
| Nederlandse Voornamenbank ID (wd:P10050)            | Nederlandse Voornamenbank ID (en)             | Wikidata property for an identifier (wd:Q19847637)                     | Wikidata property for an identifier (en)                     |
| Nationale Thesaurus voor Auteursnamen ID (wd:P1006) | Nationale Thesaurus voor Auteursnamen ID (en) | Wikidata property for authority control for people (wd:Q19595382)      | Wikidata property for authority control for people (en)      |
| Nationale Thesaurus voor Auteursnamen ID (wd:P1006) | Nationale Thesaurus voor Auteursnamen ID (en) | Wikidata property for authority control by VIAF member (wd:Q55586529)  | Wikidata property for authority control by VIAF member (en)  |

[Assistant]
I found items where the property "properties for this type" (wd:P1963) is used, along with the associated properties and their characteristics in terms of property types. For example, the property "video" (wd:P10) is a curated Wikidata property and also a Wikidata property to link to Commons. The property "applies to jurisdiction" (wd:P1001) is a Wikidata qualifier.

If you want, I can provide the full SPARQL query used to get this information. Would you like me to do that?

[User]
Feedback (status=refine):
The answer provides a good overview of items where the property "properties for this type" (wd:P1963) is used, along with associated properties and their types. The SPARQL query correctly retrieves these properties and their types, including labels. However, the answer could be improved by explicitly mentioning that the query returns the items using the property, the associated properties, and their characteristics (property types). Also, the query could be refined to include the items themselves (currently only ?item is used but not returned) to fully answer the question about the items where the property is used. Including the items in the SELECT clause and optionally their labels would make the answer more complete and directly aligned with the question. Additionally, the explanation could clarify the meaning of "characteristics" as the property types. Overall, the output is sensible but needs refinement to better match the question and completeness.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves items where the property "properties for this type" (wd:P1963) is used, along with the associated properties and their property types. The query includes labels for better readability and limits the results to 50 for manageability. The answer explanation accurately describes the query's purpose and results. The query follows the rules by returning identifiers and labels optionally, and it provides a comprehensive overview as requested. No further improvements are necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?movie ?movieLabel ( MIN( YEAR( ?publicationDate ) ) AS ?earliestYear ) WHERE {
  ?movie wdt:P57 wd:Q8877 .
  ?movie wdt:P31 wd:Q11424 .
  ?movie wdt:P577 ?publicationDate .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( LANG( ?movieLabel ) = "en" )
  }
}
GROUP BY ?movie ?movieLabel
ORDER BY ?earliestYear

Got 38 rows and 3 columns, showing the first 5 and last 5 rows below:
| movie                                           | movieLabel                              | earliestYear   |
| ----------------------------------------------- | --------------------------------------- | -------------- |
| Escape to Nowhere (wd:Q3057871)                 | Escape to Nowhere (en)                  | 1961 (xsd:int) |
| Firelight (wd:Q591320)                          | Firelight (en)                          | 1964 (xsd:int) |
| The Sugarland Express (wd:Q432526)              | The Sugarland Express (en)              | 1974 (xsd:int) |
| Jaws (wd:Q189505)                               | Jaws (en)                               | 1975 (xsd:int) |
| Close Encounters of the Third Kind (wd:Q320588) | Close Encounters of the Third Kind (en) | 1977 (xsd:int) |
| ...                                             | ...                                     | ...            |
| The Post (wd:Q30203425)                         | The Post (en)                           | 2017 (xsd:int) |
| Ready Player One (wd:Q22000542)                 | Ready Player One (en)                   | 2018 (xsd:int) |
| Living Space (wd:Q117789100)                    | Living Space (en)                       | 2018 (xsd:int) |
| West Side Story (wd:Q63643994)                  | West Side Story (en)                    | 2021 (xsd:int) |
| The Fabelmans (wd:Q107710009)                   | The Fabelmans (en)                      | 2022 (xsd:int) |

The distinct movies directed by Steven Spielberg, filtered to only include films, along with their titles and the earliest year of publication, sorted by year, include 38 movies. Examples are 'Escape to Nowhere' (1961), 'Firelight' (1964), 'The Sugarland Express' (1974), 'Jaws' (1975), 'Close Encounters of the Third Kind' (1977), 'The Post' (2017), 'Ready Player One' (2018), 'Living Space' (2018), 'West Side Story' (2021), and 'The Fabelmans' (2022). This query ensures the earliest publication year is shown by aggregating with MIN and filters to only include movies by checking instance of film.

[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 movies were directed by Steven Spielberg, along with their titles and the earliest year of publication, sorted by year?

[Assistant]
To answer the question, I need to identify the entity for Steven Spielberg, the property for "director" or "directed by," and the properties for the movie title and the earliest year of publication (release year). Then I will query for distinct movies directed by Steven Spielberg, including their titles and earliest year of publication, sorted by year.

Step 1: Search for the entity "Steven Spielberg" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Steven Spielberg, also known as Steven Allan Spielberg, Spielberg (wd:Q8877): American filmmaker (born 1946), science fiction writer, television producer, executive producer, film screenwriter, businessperson, art collector, film director, film producer, entrepreneur, screenwriter, film editor, film actor, director, producer, writer, actor
2. Steven Spielberg (wd:Q125960377): 1995 edition of written work by Antonio Sánchez-Escalonilla García-Rico
3. Steven Spielberg (wd:Q125960366): written work by Antonio Sánchez-Escalonilla García-Rico
4. Steven Spielberg bibliography (wd:Q17119094)
5. Animaniacs, also known as Steven Spielberg Presents Animaniacs (wd:Q547744): American animated television series
6. Taken, also known as Steven Spielberg Presents By Taken, Steven Spielberg Presents Taken, Steven Spielberg's Taken, Steven Spielbergs Taken (wd:Q1156592): American Sci-Fi, Drama TV series produced by Steven Spielberg (2002)
7. Animaniacs, also known as Steven Spielberg Presents Animaniacs, Animaniacs revival, Animaniacs reboot, Animaniacs (2020), Animaniacs 2020 (wd:Q97327699): 2020 animated television series
8. The Steven Spielberg Story (wd:Q105043841): 1983 book by Tony Crawley
9. Steven Spielberg's Director's Chair (wd:Q3973447): 1996 simulation game
10. Steven Spielberg Jewish Film Archive, also known as Spielberg archive (wd:Q2910589): archive of Jewish documentary films

[Assistant] The entity for Steven Spielberg is wd:Q8877. Next, I need to find the property that represents "director" or "directed by" for movies. I will search for properties related to "director" or "directed by" in Wikidata.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person who manages any kind of group, significant person
2. director, also known as film director, movie director, game director, directed by (wd:P57 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): position of the head of this item
5. creative director (wd:P12617 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person responsible for the overall artistic vision of an organization and for its execution. See also P3174 for works., director / manager
8. art director, also known as artistic director (wd:P3174 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person credited as the art director/artistic director of this wo... designers, lighting designers; See also P8938 for organizations
9. director of photography, also known as cinematographer, DOP (wd:P344 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person responsible for the framing, lighting, and filtration of the subject work, film crew member
10. director of archaeological fieldwork, also known as dig director, director of excavations, excavation director (wd:P4345 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant]
The property for "director" or "directed by" in the context of films is wd:P57. Now I need to find the properties for the movie title and the earliest year of publication (release year).

The property for the title is usually rdfs:label or schema:name, but I will check for the property representing the earliest year of publication or release date for movies. I will search for properties related to "publication date" or "release date."

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): date or point in time when a work was first published or released, point in time
2. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
3. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place
4. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): larger work that a given work was published in, like a book, journal or music album, part of
5. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): time of the first public presentation of a subject by the creator, of information by the media, point in time
6. edition number, also known as number of event, software version number, version number (wd:P393 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
7. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): method (or type) of distribution for the subject
9. publication interval, also known as frequency of publication, interval of publication, publication cycle, publication frequency, update frequency (wd:P2896 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): standard publication interval for daily or periodical publications, event interval
10. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): platform for which a work was developed or released, or the specific platform version of a software product

[Assistant] The property for the publication date or release date is wd:P577. Now I will write a SPARQL query to get distinct movies directed by Steven Spielberg (wd:Q8877) with their titles and earliest year of publication (wdt:P577), sorted by year. I will use rdfs:label for the movie titles in English.

[Tool]
Got 70 rows and 3 columns, showing the first 5 and last 5 rows below:
| movie                           | movieLabel             | earliestYear   |
| ------------------------------- | ---------------------- | -------------- |
| Escape to Nowhere (wd:Q3057871) | Escape to Nowhere (en) | 1961 (xsd:int) |
| Firelight (wd:Q591320)          | Firelight (en)         | 1964 (xsd:int) |
| Slipstream (wd:Q7540939)        | Slipstream (en)        | 1967 (xsd:int) |
| Amblin' (wd:Q457886)            | Amblin' (en)           | 1968 (xsd:int) |
| The Psychiatrist (wd:Q3988876)  | The Psychiatrist (en)  | 1970 (xsd:int) |
| ...                             | ...                    | ...            |
| Living Space (wd:Q117789100)    | Living Space (en)      | 2018 (xsd:int) |
| West Side Story (wd:Q63643994)  | West Side Story (en)   | 2021 (xsd:int) |
| The Fabelmans (wd:Q107710009)   | The Fabelmans (en)     | 2022 (xsd:int) |
| The Fabelmans (wd:Q107710009)   | The Fabelmans (en)     | 2023 (xsd:int) |
| Disclosure (wd:Q126683577)      | Disclosure (en)        | 2026 (xsd:int) |

[Assistant] I have found distinct movies directed by Steven Spielberg with their titles and earliest year of publication, sorted by year. The results include movies from 1961 to 2026. I will now provide the final SPARQL query and the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves distinct movies directed by Steven Spielberg along with their titles and publication years, sorted by year. However, the query does not ensure that the year is the earliest year of publication if multiple publication dates exist for a movie. This is evident from the example of 'The Fabelmans' showing two different years (2022 and 2023) for the same movie. To improve, the query should aggregate to get the minimum publication year per movie to guarantee the earliest year is shown. Also, the query should explicitly filter for movies (e.g., instance of film) to avoid including non-movie works. Otherwise, the answer is comprehensive and well presented.

[Assistant]
Thank you for the feedback. To address the issues:

1. I will ensure the query returns the earliest year of publication by aggregating with MIN on the publication date.
2. I will add a filter to ensure the items are instances of a film (movie) using the property "instance of" (wdt:P31) with the value "film" (wd:Q11424).

I will now update the SPARQL query accordingly.

[Tool]
Got 38 rows and 3 columns, showing the first 5 and last 5 rows below:
| movie                                           | movieLabel                              | earliestYear   |
| ----------------------------------------------- | --------------------------------------- | -------------- |
| Escape to Nowhere (wd:Q3057871)                 | Escape to Nowhere (en)                  | 1961 (xsd:int) |
| Firelight (wd:Q591320)                          | Firelight (en)                          | 1964 (xsd:int) |
| The Sugarland Express (wd:Q432526)              | The Sugarland Express (en)              | 1974 (xsd:int) |
| Jaws (wd:Q189505)                               | Jaws (en)                               | 1975 (xsd:int) |
| Close Encounters of the Third Kind (wd:Q320588) | Close Encounters of the Third Kind (en) | 1977 (xsd:int) |
| ...                                             | ...                                     | ...            |
| The Post (wd:Q30203425)                         | The Post (en)                           | 2017 (xsd:int) |
| Ready Player One (wd:Q22000542)                 | Ready Player One (en)                   | 2018 (xsd:int) |
| Living Space (wd:Q117789100)                    | Living Space (en)                       | 2018 (xsd:int) |
| West Side Story (wd:Q63643994)                  | West Side Story (en)                    | 2021 (xsd:int) |
| The Fabelmans (wd:Q107710009)                   | The Fabelmans (en)                      | 2022 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves distinct movies directed by Steven Spielberg, filtering for instances of films and obtaining their earliest publication year using the MIN aggregation. It also includes the movie titles in English and sorts the results by the earliest year as requested. The answer provides a clear summary with examples and the total count, matching the query results. The query adheres to the guidelines by returning identifiers and labels appropriately and performing all necessary computations within SPARQL. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?airport ?airportLabel ?place ?placeLabel ?iata ?icao ?endDate WHERE {
  ?airport wdt:P31 / wdt:P279 * ?type .
  VALUES ?type {
    wd:Q1248784 wd:Q695850 wd:Q62447
  }
  .
  OPTIONAL {
    ?airport wdt:P137 ?place .
    OPTIONAL {
      ?place rdfs:label ?placeLabel FILTER ( LANG( ?placeLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?airport wdt:P238 ?iata .
  }
  OPTIONAL {
    ?airport wdt:P239 ?icao .
  }
  OPTIONAL {
    ?airport wdt:P582 ?endDate .
  }
  OPTIONAL {
    ?airport rdfs:label ?airportLabel FILTER ( LANG( ?airportLabel ) = "en" )
  }
  FILTER ( BOUND( ?endDate ) )
}
LIMIT 100

Here are airports, military airbases, or aerodromes that have ceased to exist or stopped being valid. The results include their item IDs, names, item IDs and labels of places they serve (if available), IATA codes (if available), ICAO codes (if available), and end dates. For example, Luzhou Lantian Airport (wd:Q1015291) ceased to exist on 2018-09-10. Lockbourne Air Force Base (wd:Q107977477) ceased to exist on 1980-01-01. Cricklewood Aerodrome (wd:Q19803527) ceased to exist on 1929-01-01. The full list contains up to 100 such entities.

[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 airports, military airbases, or aerodromes that have ceased to exist or stopped being valid? Please provide their item IDs, names, item IDs and labels places they serve (if available), IATA codes (if available), ICAO codes (if available), and end dates.

[Assistant]
To answer this question, I need to identify entities that are airports, military airbases, or aerodromes and have ceased to exist or stopped being valid. I will look for the following:

1. Entities that are instances of airport, military airbase, or aerodrome.
2. These entities should have an end date or a property indicating they have ceased to exist or stopped being valid.
3. Retrieve their item IDs, names, item IDs and labels of places they serve (if available), IATA codes (if available), ICAO codes (if available), and end dates.

Step 1: Identify the Wikidata items for airport, military airbase, and aerodrome. I will search for these entities first.

[Tool]
Top 10 entity alternatives:
1. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
2. Airport (wd:Q409022): 1970 film directed by George Seaton
3. AirPort, also known as Apple AirPort (wd:Q697292): brand of wifi router equipment made by Apple Inc.
4. Airport, also known as Airport, CA, Airport, California (wd:Q4698872): census-designated place in Stanislaus County, California, USA
5. Airport (wd:Q2604087): 1968 novel by Arthur Hailey
6. Kasese Airport, also known as Airport, HUKS, KSE (wd:Q6374123): airport in Uganda
7. Basongo Airport, also known as airport, BAN, FZVR (wd:Q3339360): airport in Democratic Republic of the Congo
8. Bambili-Dingila Airport, also known as airport, FZKB, Aéroport de Bambili-Dingila (wd:Q3206837): airport in Democratic Republic of the Congo
9. Bokungu Airport, also known as Airport, FZGF (wd:Q4938837): airport in Democratic Republic of the Congo
10. Airport, also known as Rapid Airport (wd:Q11289474): Rapid trains in Hokkaido, Japan

[Tool]
Top 10 entity alternatives:
1. air base, also known as airbase, air force base, air force station, military air base, military airbase (wd:Q695850): aerodrome used by a military force for the operation of military aircraft
2. Tiyas Military Airbase, also known as T-4 Airbase (wd:Q21663059): Syrian Arab Air Force base in Homs Governorate, Syria
3. Kuweires Military Airbase, also known as Kuweires Airbase (wd:Q12694665): airbase and military aviation institute in Aleppo Governorate, Syria
4. Jirah Military Airbase (wd:Q29051268)
5. Tabqa Military Airbase, also known as Al-Thawrah airdrome (wd:Q21592797): Syrian Air Force base in Tabqa, Syria
6. Alcantarilla Military Airbase, also known as Alcantarilla Airbase, LERI (wd:Q3207184)
7. Ovar Military Airbase, also known as LPOV, Ovar AB Airport, Ovar Mil. (wd:Q9586748): military airbase in Portugal
8. Sitalchay Military Airbase (wd:Q7531621): military airbase in Azerbaijan
9. Al-Qusayr Military Airbase (wd:Q11824206): airport in Syria
10. Pollensa military airbase, also known as Pollença airbase (wd:Q15106269): Spanish military airbase in Pollensa

[Tool]
Top 10 entity alternatives:
1. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
2. aerodrome, also known as airdrome, airfield, air navigation feature (wd:Q62447): location from which aircraft flight operations take place
3. Aerodrome, also known as Aerodrome (Austria), Aerodrome (music festival) (wd:Q381424): music festival in Wiener Neustadt, Austria
4. Aerodrome (wd:Q116446160): map in the 2018 video game Battlefield V
5. Aerodrome (wd:Q108080429): protected area in France
6. aerodrome (wd:L454494-S1)
7. aerodrome (wd:L316086-F1)
8. aerodrome (wd:L316086)
9. Perth Airport, also known as Guildford Aerodrome, Perth International Airport, Perth Domestic Airport, PER, PERTH (wd:Q45935): international airport in Perth, Western Australia
10. Oulu Airport, also known as EFOU, OUL, Oulu Aerodrome, OULU airport, Oulunsalo Airport (wd:Q1131604): airport in Oulu, Finland

[Assistant]
I have identified the following relevant entities:
- airport or aerodrome (wd:Q1248784)
- military airbase (wd:Q695850)
- aerodrome (wd:Q62447)

Next, I will construct a query to find entities that are instances of any of these three classes and have an end date or a property indicating they ceased to exist or stopped being valid. I will also retrieve their item IDs, names, places they serve (if available), IATA codes, ICAO codes, and end dates.

[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 the SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query to manually get the labels using rdfs:label and put them in optional clauses.

[Tool]
Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| airport                                   | airportLabel                   | place                     | placeLabel        | iata | icao | endDate                             |
| ----------------------------------------- | ------------------------------ | ------------------------- | ----------------- | ---- | ---- | ----------------------------------- |
| Luzhou Lantian Airport (wd:Q1015291)      | Luzhou Lantian Airport (en)    |                           |                   |      |      | 2018-09-10T00:00:00Z (xsd:dateTime) |
| Luzhou Lantian Airport (wd:Q1015291)      | Luzhou Lantian Airport (en)    |                           |                   |      |      | 2018-09-10T00:00:00Z (xsd:dateTime) |
| Luzhou Lantian Airport (wd:Q1015291)      | Luzhou Lantian Airport (en)    |                           |                   |      |      | 2018-09-10T00:00:00Z (xsd:dateTime) |
| Luzhou Lantian Airport (wd:Q1015291)      | Luzhou Lantian Airport (en)    |                           |                   |      |      | 2018-09-10T00:00:00Z (xsd:dateTime) |
| Lockbourne Air Force Base (wd:Q107977477) | Lockbourne Air Force Base (en) |                           |                   |      |      | 1980-01-01T00:00:00Z (xsd:dateTime) |
| ...                                       | ...                            | ...                       | ...               | ...  | ...  | ...                                 |
| Kokura Airport (wd:Q1930822)              | Kokura Airport (en)            |                           |                   |      |      | 2006-03-01T00:00:00Z (xsd:dateTime) |
| Oedheim Airbase (wd:Q1935000)             | Oedheim Airbase (en)           |                           |                   |      |      | 1945-01-01T00:00:00Z (xsd:dateTime) |
| Oedheim Airbase (wd:Q1935000)             | Oedheim Airbase (en)           |                           |                   |      |      | 1945-01-01T00:00:00Z (xsd:dateTime) |
| Cricklewood Aerodrome (wd:Q19803527)      | Cricklewood Aerodrome (en)     | Handley Page (wd:Q965204) | Handley Page (en) |      |      | 1929-01-01T00:00:00Z (xsd:dateTime) |
| Cricklewood Aerodrome (wd:Q19803527)      | Cricklewood Aerodrome (en)     | Handley Page (wd:Q965204) | Handley Page (en) |      |      | 1929-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves airports, military airbases, or aerodromes that have ceased to exist or stopped being valid by filtering for an end date (wdt:P582). It includes the requested information: item IDs, labels, places served with their labels, IATA codes, ICAO codes, and end dates. The query uses appropriate classes (airport, air base, aerodrome) and optional clauses for the additional properties, ensuring that missing data does not exclude results. The example answers provided are consistent with the query results. The query respects the requirement to return identifiers and labels without using unsupported SERVICE clauses. Overall, the output is correct and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel ?residence ?residenceLabel ?coordinates ?gender ?genderLabel WHERE {
  ?person wdt:P4478 ?accusedWitchID .
  OPTIONAL {
    ?person wdt:P551 ?residence .
    OPTIONAL {
      ?residence wdt:P625 ?coordinates .
    }
    OPTIONAL {
      ?residence rdfs:label ?residenceLabel FILTER ( LANG( ?residenceLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?person wdt:P21 ?gender .
    OPTIONAL {
      ?gender rdfs:label ?genderLabel FILTER ( LANG( ?genderLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 100

Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| person                           | personLabel            | residence                   | residenceLabel    | coordinates                                 | gender               | genderLabel |
| -------------------------------- | ---------------------- | --------------------------- | ----------------- | ------------------------------------------- | -------------------- | ----------- |
| Margaret Atkin (wd:Q16594429)    | Margaret Atkin (en)    | Balwearie (wd:Q59244052)    | Balwearie (en)    | POINT(-3.204400 56.101600) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Jean Weir (wd:Q16849009)         | Jean Weir (en)         | Edinburgh (wd:Q23436)       | Edinburgh (en)    | POINT(-3.189167 55.953333) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Ewfame Makcalzene (wd:Q18810708) | Ewfame Makcalzene (en) | Clifton Hall (wd:Q17570276) | Clifton Hall (en) | POINT(-3.426910 55.923500) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Bessie Dunlop (wd:Q22907975)     | Bessie Dunlop (en)     | Lynn Glen (wd:Q59225889)    | Lynn Glen (en)    | POINT(-4.732871 55.700500) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Alesoun Balfour (wd:Q26838323)   | Alesoun Balfour (en)   | Stenness (wd:Q7607595)      | Stenness (en)     | POINT(-3.208330 58.985800) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| ...                              | ...                    | ...                         | ...               | ...                                         | ...                  | ...         |
| Marioun Tailyeor (wd:Q43390264)  | Marioun Tailyeor (en)  | Tiree (wd:Q511617)          | Tiree (en)        | POINT(-6.878122 56.505585) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Jonet Morison (wd:Q43390268)     | Jonet Morison (en)     | Gourock (wd:Q2469984)       | Gourock (en)      | POINT(-4.820000 55.950000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Beatrix Lyon (wd:Q43390271)      | Beatrix Lyon (en)      | Finnockbog (wd:Q64843095)   | Finnockbog (en)   | POINT(-4.877393 55.897687) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Christian Gray (wd:Q43390276)    | Christian Gray (en)    | Kinross (wd:Q781885)        | Kinross (en)      | POINT(-3.420000 56.200000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Cristian Steidman (wd:Q43390281) | Cristian Steidman (en) | Kinross (wd:Q781885)        | Kinross (en)      | POINT(-3.420000 56.200000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |

Here are some persons who have an accused witch ID in the Survey of Scottish Witchcraft, along with their residences, coordinates of their residences, and gender (if available):

- Margaret Atkin, residence: Balwearie, coordinates: POINT(-3.204400 56.101600), gender: female
- Jean Weir, residence: Edinburgh, coordinates: POINT(-3.189167 55.953333), gender: female
- Ewfame Makcalzene, residence: Clifton Hall, coordinates: POINT(-3.426910 55.923500), gender: female
- Bessie Dunlop, residence: Lynn Glen, coordinates: POINT(-4.732871 55.700500), gender: female
- Alesoun Balfour, residence: Stenness, coordinates: POINT(-3.208330 58.985800), gender: female
- Marioun Tailyeor, residence: Tiree, coordinates: POINT(-6.878122 56.505585), gender: female
- Jonet Morison, residence: Gourock, coordinates: POINT(-4.820000 55.950000), gender: female
- Beatrix Lyon, residence: Finnockbog, coordinates: POINT(-4.877393 55.897687), gender: female
- Christian Gray, residence: Kinross, coordinates: POINT(-3.420000 56.200000), gender: female
- Cristian Steidman, residence: Kinross, coordinates: POINT(-3.420000 56.200000), gender: female

This list is limited to 100 entries.

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

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

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

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

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

[User] Who has an accused witch ID in the Survey of Scottish Witchcraft? For each person, also include their residences, the coordinates of their residences, and gender (if available).

[Assistant]
Step 1: Identify the property or identifier related to "accused witch ID in the Survey of Scottish Witchcraft" in Wikidata. This might be a property that links a person to their accused witch ID in that survey.

I will start by searching for the property related to "accused witch ID in the Survey of Scottish Witchcraft" in Wikidata.

[Tool]
Top 10 property alternatives:
1. Survey of Scottish Witchcraft - Accused witch ID (wd:P4478 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): Accused witch identifier in the Survey of Scottish Witchcraft database
2. Survey of Scottish Witchcraft - Case ID (wd:P10838 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier for cases in the Survey of Scottish Witchcraft database
3. Survey of Scottish Witchcraft - Person ID (wd:P4524 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier for persons associated with the witch trials in the S... please use the Survey of Scottish Witchcraft - Accused Witch ID
4. Survey of Scottish Witchcraft - Trial ID (wd:P4532 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): іdentifier for trials in the Survey of Scottish Witchcraft database
5. Women of Scotland subject ID (wd:P8050 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): subject identifier for a woman in the Women of Scotland project
6. Gazetteer for Scotland person ID, also known as GfS person (wd:P7349 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier of a Scottish personality on www.scottish-places.info
7. Scottish Register of Tartans ID, also known as Scottish Register of Tartans identifier, tartan ID (wd:P12660 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier on the Scottish Register of Tartans, a repository of tartans
8. Aberdeenshire HER ID, also known as Aberdeenshire Historic Environment Record ID (wd:P7694 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier for a heritage feature in the Aberdeenshire Historic Environment Record website and database
9. POWiS ID, also known as POWiS identifier, Places of Worship in Scotland identifier, Places of Worship in Scotland ID (wd:P7659 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier in the Places of Worship in Scotland (POWiS) database
10. Undiscovered Scotland ID, also known as Undiscovered Scotland identifier (wd:P11131 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): identifier for a page on the Undiscovered Scotland website

[Assistant]
The property "Survey of Scottish Witchcraft - Accused witch ID" (wdt:P4478) is the identifier for accused witches in the Survey of Scottish Witchcraft database.

Step 2: Query for persons who have this property (wdt:P4478) and retrieve their residences, coordinates of residences, and gender (if available).

I will now build a SPARQL query to get:
- Persons with the property wdt:P4478 (accused witch ID)
- Their residences (wdt:P551)
- Coordinates of the residences (wdt:P625)
- Gender (wdt:P21)

I will also include optional clauses for residences, coordinates, and gender since they might not be available for all persons.

[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 the SERVICE wikibase:label which is not supported by the QLever SPARQL endpoint.

I will rewrite the query without using SERVICE wikibase:label and instead use optional patterns to get rdfs:label for the person, residence, and gender.

I will now execute the corrected query.

[Tool]
Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| person                           | personLabel            | residence                   | residenceLabel    | coordinates                                 | gender               | genderLabel |
| -------------------------------- | ---------------------- | --------------------------- | ----------------- | ------------------------------------------- | -------------------- | ----------- |
| Margaret Atkin (wd:Q16594429)    | Margaret Atkin (en)    | Balwearie (wd:Q59244052)    | Balwearie (en)    | POINT(-3.204400 56.101600) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Jean Weir (wd:Q16849009)         | Jean Weir (en)         | Edinburgh (wd:Q23436)       | Edinburgh (en)    | POINT(-3.189167 55.953333) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Ewfame Makcalzene (wd:Q18810708) | Ewfame Makcalzene (en) | Clifton Hall (wd:Q17570276) | Clifton Hall (en) | POINT(-3.426910 55.923500) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Bessie Dunlop (wd:Q22907975)     | Bessie Dunlop (en)     | Lynn Glen (wd:Q59225889)    | Lynn Glen (en)    | POINT(-4.732871 55.700500) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Alesoun Balfour (wd:Q26838323)   | Alesoun Balfour (en)   | Stenness (wd:Q7607595)      | Stenness (en)     | POINT(-3.208330 58.985800) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| ...                              | ...                    | ...                         | ...               | ...                                         | ...                  | ...         |
| Marioun Tailyeor (wd:Q43390264)  | Marioun Tailyeor (en)  | Tiree (wd:Q511617)          | Tiree (en)        | POINT(-6.878122 56.505585) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Jonet Morison (wd:Q43390268)     | Jonet Morison (en)     | Gourock (wd:Q2469984)       | Gourock (en)      | POINT(-4.820000 55.950000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Beatrix Lyon (wd:Q43390271)      | Beatrix Lyon (en)      | Finnockbog (wd:Q64843095)   | Finnockbog (en)   | POINT(-4.877393 55.897687) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Christian Gray (wd:Q43390276)    | Christian Gray (en)    | Kinross (wd:Q781885)        | Kinross (en)      | POINT(-3.420000 56.200000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |
| Cristian Steidman (wd:Q43390281) | Cristian Steidman (en) | Kinross (wd:Q781885)        | Kinross (en)      | POINT(-3.420000 56.200000) (geo:wktLiteral) | female (wd:Q6581072) | female (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves persons with an accused witch ID in the Survey of Scottish Witchcraft, along with their residences, coordinates, and gender when available. The query uses appropriate properties (wdt:P4478 for accused witch ID, wdt:P551 for residence, wdt:P625 for coordinates, and wdt:P21 for gender) and includes optional clauses to handle missing data gracefully. The results are limited to 100 entries as a reasonable constraint. The answer provides a clear and informative summary with example entries. No improvements are necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?rollerCoaster ?rollerCoasterLabel ?country ?countryLabel WHERE {
  ?rollerCoaster wdt:P31 wd:Q204832 .
  ?rollerCoaster wdt:P131 ?location .
  ?location wdt:P17 ?country .
  OPTIONAL {
    ?rollerCoaster rdfs:label ?rollerCoasterLabel FILTER ( LANG( ?rollerCoasterLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
LIMIT 50

Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| rollerCoaster                        | rollerCoasterLabel        | country          | countryLabel |
| ------------------------------------ | ------------------------- | ---------------- | ------------ |
| La Ronde des Rondins (wd:Q122459691) | La Ronde des Rondins (en) | France (wd:Q142) | France (en)  |
| Triops (wd:Q3539469)                 | Triops (en)               | France (wd:Q142) | France (en)  |
| Boomerang (wd:Q30742297)             | Boomerang (en)            | France (wd:Q142) | France (en)  |
| Boomerang (wd:Q30742297)             | Boomerang (en)            | France (wd:Q142) | France (en)  |
| Boomerang (wd:Q30742297)             | Boomerang (en)            | France (wd:Q142) | France (en)  |
| ...                                  | ...                       | ...              | ...          |
| Speedy Bob (wd:Q2876996)             | Speedy Bob (en)           | Belgium (wd:Q31) | Belgium (en) |
| Boomerang (wd:Q30742297)             | Boomerang (en)            | Belgium (wd:Q31) | Belgium (en) |
| wd:Q19765769                         |                           | Belgium (wd:Q31) | Belgium (en) |
| wd:Q114093353                        |                           | Belgium (wd:Q31) | Belgium (en) |
| wd:Q18285989                         |                           | Belgium (wd:Q31) | Belgium (en) |

Here is a list of roller coasters and their respective countries (if available) with labels included for better readability. The query is limited to 50 results to optimize performance.

[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] Get a list of roller coasters and their respective countries, if available.

[Assistant] To answer the question, I need to identify the entity for "roller coaster" and the property that relates roller coasters to their respective countries. I will start by searching for the entity "roller coaster" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. roller coaster, also known as coaster, rollercoaster (wd:Q204832): type of amusement ride found at amusement parks and carnivals
2. steel roller coaster, also known as steel roller coasters, roller coaster (steel), roller coasters (steel), roller coasters made of steel, roller coaster made of steel (wd:Q2389789): type of roller coaster that is defined by having a track made of steel
3. Roller Coaster (wd:Q15630210): single by Justin Bieber
4. Roller Coaster, also known as White Roller Coaster (wd:Q7361012): roller coaster at Lagoon Amusement Park
5. Roller Coaster (wd:Q25394129): single by Toni Braxton and Babyface
6. Roller Coaster (wd:Q120648054): 2023 single by Nmixx
7. 🎢, also known as U+1F3A2, roller coaster ride emoji, ROLLER COASTER, roller coaster emoji (wd:Q87577117): Unicode character
8. Roller Coaster (wd:Q7361018): steel roller coaster at Suối Tiên Amusement Park
9. Roller Coaster (wd:Q7361016): album by Scott Cain
10. Roller Coaster (wd:Q7361015): album by Red Bacteria Vacuum

[Assistant] The entity for "roller coaster" is wd:Q204832. Now, I need to find the property that relates roller coasters to their respective countries. Typically, this could be the location or country where the roller coaster is situated. I will search for properties related to "country" or "location" for the entity roller coaster (wd:Q204832).

[Tool]
Top 10 property alternatives:
1. 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
2. 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)
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
4. 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
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
7. 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)
8. described at URL, also known as mentioned at URL, descURL, described on webpage, discussed at URL, d@url (wd:P973 as p/wdt): item is described at the following URL, URL
9. history of topic, also known as history of the topic, timeline of subject, timeline of the subject, timeline of the topic, timeline of topic (wd:P2184 as p/wdt): item about the historical development of a subject's topic, exam... To list key events of the topic, use "significant event" (P793), studied in
10. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused

No other items found

[Assistant] The search for a direct property "country" related to roller coaster did not return relevant properties. I will try searching for the property "location" for the entity roller coaster (wd:Q204832) as location might indicate the country where the roller coaster is situated.

[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 at URL, also known as mentioned at URL, descURL, described on webpage, discussed at URL, d@url (wd:P973 as p/wdt): item is described at the following URL, URL
6. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
7. 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)
8. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as p/wdt/wdtn): identifier from an international authority file of names, subjects, and organizations
9. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Assistant] The search for the property "location" also did not return relevant properties for roller coaster. I will try a more general search for properties related to "country" to see if there is a common property used for location or country of entities.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/pqn/prv/wdtn/pr/ps/p/pqv/prn/wdt/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant] There are several properties related to country or location. The most relevant for the location of an item (like a roller coaster) seems to be "located in the administrative territorial entity" (wdt:P131) or "country" (wdt:P17). I will check if roller coasters have the property "located in the administrative territorial entity" (wdt:P131) to get their respective countries or locations.

[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. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses to get the labels for roller coasters and locations.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.2 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query failed due to memory limitations. I will try to limit the query further by only selecting roller coasters that have a location and limiting the number of results to 5 to reduce memory usage.

[Tool]
Got 5 rows and 4 columns:
| rollerCoaster                      | rollerCoasterLabel      | location                  | locationLabel    |
| ---------------------------------- | ----------------------- | ------------------------- | ---------------- |
| Black Hole (wd:Q26272007)          | Black Hole (en)         | Hellendoorn (wd:Q10005)   | Hellendoorn (en) |
| wd:Q122460558                      |                         | Hengelo (wd:Q10006)       | Hengelo (en)     |
| Jul's Rollerskates (wd:Q122460551) | Jul's Rollerskates (en) | Apeldoorn (wd:Q101918)    | Apeldoorn (en)   |
| wd:Q123660026                      |                         | Maashorst (wd:Q104758976) | Maashorst (en)   |
| Cyklon (wd:Q54150043)              | Cyklon (en)             | Prague (wd:Q1085)         | Prague (en)      |

[Assistant] I found a list of roller coasters and their respective locations (administrative territorial entities). Some roller coasters have labels, and some do not. The locations are cities or towns. To get the countries, I will now query the countries of these locations using the property "country" (wdt:P17). I will extend the query to include the country of the location.

[Tool]
Got 10 rows and 6 columns:
| rollerCoaster                                     | rollerCoasterLabel                     | location                                      | locationLabel                       | country                              | countryLabel                    |
| ------------------------------------------------- | -------------------------------------- | --------------------------------------------- | ----------------------------------- | ------------------------------------ | ------------------------------- |
| Boomerang (wd:Q30742297)                          | Boomerang (en)                         | Roquefort (wd:Q635643)                        | Roquefort (en)                      | France (wd:Q142)                     | France (en)                     |
| Grand Canyon (wd:Q106696200)                      | Grand Canyon (en)                      | Grand Est (wd:Q18677983)                      | Grand Est (en)                      | France (wd:Q142)                     | France (en)                     |
| Grand Canyon (wd:Q106696200)                      | Grand Canyon (en)                      | Jeanménil (wd:Q598991)                        | Jeanménil (en)                      | France (wd:Q142)                     | France (en)                     |
| La Ronde des Rondins (wd:Q122459691)              | La Ronde des Rondins (en)              | Jeanménil (wd:Q598991)                        | Jeanménil (en)                      | France (wd:Q142)                     | France (en)                     |
| Boomerang (wd:Q30742297)                          | Boomerang (en)                         | Les Avenières-Veyrins-Thuellin (wd:Q21979665) | Les Avenières-Veyrins-Thuellin (en) | France (wd:Q142)                     | France (en)                     |
| Boomerang (wd:Q30742297)                          | Boomerang (en)                         | Les Avenières (wd:Q603206)                    | Les Avenières (en)                  | France (wd:Q142)                     | France (en)                     |
| Triops (wd:Q3539469)                              | Triops (en)                            | Berck (wd:Q334301)                            | Berck (en)                          | France (wd:Q142)                     | France (en)                     |
| Grand Canyon (wd:Q106696200)                      | Grand Canyon (en)                      | Vosges (wd:Q3105)                             | Vosges (en)                         | France (wd:Q142)                     | France (en)                     |
| Bullet (wd:Q1004335)                              | Bullet (en)                            | Malton (wd:Q280506)                           | Malton (en)                         | United Kingdom (wd:Q145)             | United Kingdom (en)             |
| Wandering Oaken’s Sliding Sleighs (wd:Q124377115) | Wandering Oaken’s Sliding Sleighs (en) | Islands District (wd:Q752523)                 | Islands District (en)               | People's Republic of China (wd:Q148) | People's Republic of China (en) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is logically correct for retrieving roller coasters and their countries, but it failed to execute due to memory limitations (6.6 GB requested, only 1.8 GB available). To improve, the query should be optimized to reduce memory usage. Suggestions include removing unnecessary OPTIONAL clauses for labels or limiting the number of results further. Also, consider simplifying the query by retrieving only the roller coaster and country IRIs first, then optionally adding labels in a separate query if needed. The current query is too heavy for the endpoint's memory constraints and thus needs to be reworked for successful execution.

[Assistant] To optimize the query for memory usage, I will remove the OPTIONAL clauses for labels and only retrieve the roller coaster and country IRIs. This will reduce the complexity and memory requirements of the query. I will also limit the number of results to 50 to further reduce memory usage.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| rollerCoaster                      | country                  |
| ---------------------------------- | ------------------------ |
| Black Hole (wd:Q26272007)          | Netherlands (wd:Q55)     |
| wd:Q122460558                      | Netherlands (wd:Q55)     |
| Jul's Rollerskates (wd:Q122460551) | Netherlands (wd:Q55)     |
| wd:Q123660026                      | Netherlands (wd:Q55)     |
| Cyklon (wd:Q54150043)              | Czech Republic (wd:Q213) |
| ...                                | ...                      |
| Insane (wd:Q951739)                | Sweden (wd:Q34)          |
| Berg och dalbanan (wd:Q21037241)   | Sweden (wd:Q34)          |
| Twister (wd:Q2462361)              | Sweden (wd:Q34)          |
| wd:Q81085727                       | Germany (wd:Q183)        |
| Gamla bergbanan (wd:Q10502454)     | Sweden (wd:Q34)          |

[Assistant] I have retrieved a list of roller coasters and their respective countries (if available) with only the IRIs to optimize memory usage. If you want, I can also provide the labels for these roller coasters and countries in a separate query. Would you like me to do that?

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves roller coasters and their respective countries by traversing from the roller coaster to its location and then to the country. However, the query currently only returns IRIs without labels, which might not be very user-friendly. Since the user asked for a list of roller coasters and their countries, it would be better to include the labels of both roller coasters and countries in the query results. This can be done by adding OPTIONAL clauses to fetch rdfs:label for both ?rollerCoaster and ?country with a language filter for English. Also, the query limits results to 50, which is reasonable, but the user might want to know that this limit exists. Including labels will make the answer more informative and easier to understand without needing a separate query.

[Assistant] I will refine the query to include labels for both roller coasters and countries with a language filter for English. I will keep the limit of 50 results and mention this limit in the answer for clarity.

[Tool] Stopped generation process