PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  ?item wdt:P195 wd:Q3329624 .
  OPTIONAL {
    ?item wdt:P217 ?inv .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131 * wd:Q12130 .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
  OPTIONAL {
    ?birthplace rdfs:label ?birthplaceLabel FILTER ( LANG( ?birthplaceLabel ) = "en" )
  }
}
ORDER BY ?itemLabel ?creatorLabel

Using entities:
- Brittany (wd:Q12130), also known as Breizh, Bretagne, BZH, FR-BZH, Region of Brittany: is instance of region of France / administrative region of France / administrative region of France
- Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624), also known as Musee de Saint-Brieuc, Musée de Saint-Brieuc, Saint Brieuc Museum of Art and History: is instance of museum building / is instance of museum / museum in Saint-Brieuc, France
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: is subproperty of location / is subproperty of part of / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity.
- creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of a creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists)
- image (wd:P18 as wdt), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable
- collection (wd:P195 as wdt), also known as archival holdings, archives, art collection, bibliographic collection, book collection, etc.: is subproperty of part of / art, museum, archival, or bibliographic collection of which the subject is part / art, museum, archival, or bibliographic collection of which the subject is part
- place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.: is subproperty of location / most specific known birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character
- inventory number (wd:P217 as wdt), also known as accession number, call number, catalog number, catalogue number, collection number, etc.: identifier for a physical object or a set of physical objects in a collection / identifier for a physical object or a set of physical objects in a collection
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Answer:
I executed the SPARQL query above against Wikidata. Summary of results:
- Rows returned: 46 (each row is an item in the Musée d'art et d'histoire de Saint-Brieuc collection paired with a creator whose place of birth is in Brittany).
- Returned columns: ?item (item IRI), ?itemLabel (English label if available), ?inv (inventory number, P217), ?image (P18, if available), ?creator (creator IRI), ?creatorLabel (English label if available), ?birthplace (place-of-birth IRI), ?birthplaceLabel (English label if available).

A few example rows from the results:
- item: wd:Q43306519, inventory: DOC 267, creator: Adrien Hamon (wd:Q56878961), birthplace: Bégard (wd:Q217002)
- item: wd:Q43306350, creator: Alfred Beau (wd:Q2834960), birthplace: Morlaix (wd:Q202368), image: http://commons.wikimedia.org/wiki/Special:FilePath/Le-premier-bonhomme-alfred-beau-musee-d-art-et-d-histoire-de-saint-brieuc-doc-133-cropped.jpg, inventory: DOC 133
- item: wd:Q43306631 (Paysage DOC 53), inventory: DOC 53, creator: Paul Guibé (wd:Q3371384), birthplace: Saint-Brieuc (wd:Q29234), image: http://commons.wikimedia.org/wiki/Special:FilePath/Paysage-paul-guibe-musee-d-art-et-d-histoire-de-saint-brieuc-doc-53-cropped.jpg
- item: wd:Q43306427 (Portrait of my father), inventory: DOC 178, creator: Jean-Louis Hamon (wd:Q728189), birthplace: Plouha (wd:Q217114), image: http://commons.wikimedia.org/wiki/Special:FilePath/Portrait-de-mon-pere-jean-louis-hamon-musee-d-art-et-d-histoire-de-saint-brieuc-doc-178-cropped.jpg
- item: wd:Q43306306 (Raccommodeur de faïence), inventory: DOC 115, creator: Louis-Marie Baader (wd:Q14563575), birthplace: Lannion (wd:Q207581), image: http://commons.wikimedia.org/wiki/Special:FilePath/Raccommodeur-de-faience-louis-marie-baader-musee-d-art-et-d-histoire-de-saint-brieuc-doc-115-cropped.jpg

If you want, I can:
- Return the full table in CSV/JSON form,
- Include labels in French where English labels are missing,
- Extend the query to include creators who do not have a recorded place of birth, or creators born outside Brittany (and mark their birthplace country/region).

SPARQL query used (same as above):

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  # items in the museum's collection
  ?item wdt:P195 wd:Q3329624 .

  # optional inventory number and image
  OPTIONAL { ?item wdt:P217 ?inv. }
  OPTIONAL { ?item wdt:P18 ?image. }

  # creators who are humans
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .

  # creator place of birth in Brittany (region wd:Q12130) via admin chain
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131* wd:Q12130 .

  # English labels
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER(LANG(?creatorLabel) = "en") }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel FILTER(LANG(?birthplaceLabel) = "en") }
}
ORDER BY ?itemLabel ?creatorLabel

If you want the full result table exported (CSV/JSON) or modified label-language preferences, tell me which format or preference and I'll produce it.

I executed the SPARQL query above against Wikidata. Summary of results:
- Rows returned: 46 (each row is an item in the Musée d'art et d'histoire de Saint-Brieuc collection paired with a creator whose place of birth is in Brittany).
- Returned columns: ?item (item IRI), ?itemLabel (English label if available), ?inv (inventory number, P217), ?image (P18, if available), ?creator (creator IRI), ?creatorLabel (English label if available), ?birthplace (place-of-birth IRI), ?birthplaceLabel (English label if available).

A few example rows from the results:
- item: wd:Q43306519, inventory: DOC 267, creator: Adrien Hamon (wd:Q56878961), birthplace: Bégard (wd:Q217002)
- item: wd:Q43306350, creator: Alfred Beau (wd:Q2834960), birthplace: Morlaix (wd:Q202368), image: http://commons.wikimedia.org/wiki/Special:FilePath/Le-premier-bonhomme-alfred-beau-musee-d-art-et-d-histoire-de-saint-brieuc-doc-133-cropped.jpg, inventory: DOC 133
- item: wd:Q43306631 (Paysage DOC 53), inventory: DOC 53, creator: Paul Guibé (wd:Q3371384), birthplace: Saint-Brieuc (wd:Q29234), image: http://commons.wikimedia.org/wiki/Special:FilePath/Paysage-paul-guibe-musee-d-art-et-d-histoire-de-saint-brieuc-doc-53-cropped.jpg
- item: wd:Q43306427 (Portrait of my father), inventory: DOC 178, creator: Jean-Louis Hamon (wd:Q728189), birthplace: Plouha (wd:Q217114), image: http://commons.wikimedia.org/wiki/Special:FilePath/Portrait-de-mon-pere-jean-louis-hamon-musee-d-art-et-d-histoire-de-saint-brieuc-doc-178-cropped.jpg
- item: wd:Q43306306 (Raccommodeur de faïence), inventory: DOC 115, creator: Louis-Marie Baader (wd:Q14563575), birthplace: Lannion (wd:Q207581), image: http://commons.wikimedia.org/wiki/Special:FilePath/Raccommodeur-de-faience-louis-marie-baader-musee-d-art-et-d-histoire-de-saint-brieuc-doc-115-cropped.jpg

If you want, I can:
- Return the full table in CSV/JSON form,
- Include labels in French where English labels are missing,
- Extend the query to include creators who do not have a recorded place of birth, or creators born outside Brittany (and mark their birthplace country/region).

SPARQL query used (same as above):

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  # items in the museum's collection
  ?item wdt:P195 wd:Q3329624 .

  # optional inventory number and image
  OPTIONAL { ?item wdt:P217 ?inv. }
  OPTIONAL { ?item wdt:P18 ?image. }

  # creators who are humans
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .

  # creator place of birth in Brittany (region wd:Q12130) via admin chain
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131* wd:Q12130 .

  # English labels
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER(LANG(?creatorLabel) = "en") }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel FILTER(LANG(?birthplaceLabel) = "en") }
}
ORDER BY ?itemLabel ?creatorLabel

If you want the full result table exported (CSV/JSON) or modified label-language preferences, tell me which format or preference and I'll produce it.

SPARQL query over wikidata:
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  ?item wdt:P195 wd:Q3329624 .
  OPTIONAL {
    ?item wdt:P217 ?inv .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131 * wd:Q12130 .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
  OPTIONAL {
    ?birthplace rdfs:label ?birthplaceLabel FILTER ( LANG( ?birthplaceLabel ) = "en" )
  }
}
ORDER BY ?itemLabel ?creatorLabel

Using entities:
- Brittany (wd:Q12130), also known as Breizh, Bretagne, BZH, FR-BZH, Region of Brittany: is instance of region of France / administrative region of France / administrative region of France
- Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624), also known as Musee de Saint-Brieuc, Musée de Saint-Brieuc, Saint Brieuc Museum of Art and History: is instance of museum building / is instance of museum / museum in Saint-Brieuc, France
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: is subproperty of location / is subproperty of part of / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity.
- creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of a creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists)
- image (wd:P18 as wdt), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable
- collection (wd:P195 as wdt), also known as archival holdings, archives, art collection, bibliographic collection, book collection, etc.: is subproperty of part of / art, museum, archival, or bibliographic collection of which the subject is part / art, museum, archival, or bibliographic collection of which the subject is part
- place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.: is subproperty of location / most specific known birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character
- inventory number (wd:P217 as wdt), also known as accession number, call number, catalog number, catalogue number, collection number, etc.: identifier for a physical object or a set of physical objects in a collection / identifier for a physical object or a set of physical objects in a collection
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Execution result:
Got 46 rows and 8 columns, showing the first 5 and last 5 rows below:
| item                                   | itemLabel                         | inv     | image                                                                                | creator                            | creatorLabel                  | birthplace                  | birthplaceLabel          |
| -------------------------------------- | --------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------- | ----------------------------- | --------------------------- | ------------------------ |
| wd:Q43306519                           |                                   | DOC 267 |                                                                                | Adrien Hamon (wd:Q56878961)        | Adrien Hamon (lang:en)        | Bégard (wd:Q217002)         | Bégard (lang:en)         |
| wd:Q43306350                           |                                   | DOC 133 | <http://commons.wikimedia.org/wiki/Special:FilePath/Le-premier-bonhomme-alfred-beau-musee-d-art-et-d-histoire-de-saint-brieuc-doc-133-cropped.jpg>            | Alfred Beau (wd:Q2834960)          | Alfred Beau (lang:en)         | Morlaix (wd:Q202368)        | Morlaix (lang:en)        |
| wd:Q43306572                           |                                   | DOC 285 |                                                                                | André Coupé (wd:Q33429830)         | André Coupé (lang:en)         | Plancoët (wd:Q868439)       | Plancoët (lang:en)       |
| wd:Q43306669                           |                                   | DOC 73  |                                                                                | André Mériel-Bussy (wd:Q2848342)   | André Mériel-Bussy (lang:en)  | Fougères (wd:Q4043)         | Fougères (lang:en)       |
| wd:Q43306393                           |                                   | DOC 172 |                                                                                | Cécile Ravallec (wd:Q56878272)     | Cécile Ravallec (lang:en)     | Moëlan-sur-Mer (wd:Q216405) | Moëlan-sur-Mer (lang:en) |
| ...                                    | ...                               | ...     | ...                                                                                | ...                                | ...                           | ...                         | ...                      |
| Paysage DOC 53 (wd:Q43306631)          | Paysage DOC 53 (lang:en)          | DOC 53  | <http://commons.wikimedia.org/wiki/Special:FilePath/Paysage-paul-guibe-musee-d-art-et-d-histoire-de-saint-brieuc-doc-53-cropped.jpg>                          | Paul Guibé (wd:Q3371384)           | Paul Guibé (lang:en)          | Saint-Brieuc (wd:Q29234)    | Saint-Brieuc (lang:en)   |
| Portrait du peintre (wd:Q43306305)     | Portrait du peintre (lang:en)     | DOC 114 | <http://commons.wikimedia.org/wiki/Special:FilePath/Portrait-du-peintre-joseph-rene-gouezou-musee-d-art-et-d-histoire-de-saint-brieuc-doc-114-cropped.jpg>    | Joseph-René Gouézou (wd:Q29378312) | Joseph-René Gouézou (lang:en) | Saint-Brieuc (wd:Q29234)    | Saint-Brieuc (lang:en)   |
| Portrait of my father (wd:Q43306427)   | Portrait of my father (lang:en)   | DOC 178 | <http://commons.wikimedia.org/wiki/Special:FilePath/Portrait-de-mon-pere-jean-louis-hamon-musee-d-art-et-d-histoire-de-saint-brieuc-doc-178-cropped.jpg>      | Jean-Louis Hamon (wd:Q728189)      | Jean-Louis Hamon (lang:en)    | Plouha (wd:Q217114)         | Plouha (lang:en)         |
| Raccommodeur de faïence (wd:Q43306306) | Raccommodeur de faïence (lang:en) | DOC 115 | <http://commons.wikimedia.org/wiki/Special:FilePath/Raccommodeur-de-faience-louis-marie-baader-musee-d-art-et-d-histoire-de-saint-brieuc-doc-115-cropped.jpg> | Louis-Marie Baader (wd:Q14563575)  | Louis-Marie Baader (lang:en)  | Lannion (wd:Q207581)        | Lannion (lang:en)        |
| Tête de vieille (wd:Q43306232)         | Tête de vieille (lang:en)         | 116     | <http://commons.wikimedia.org/wiki/Special:FilePath/Tete-de-vieille-albert-durand-musee-d-art-et-d-histoire-de-saint-brieuc-doc-116-cropped.jpg>              | Albert Durand (wd:Q43305120)       | Albert Durand (lang:en)       | Fougères (wd:Q4043)         | Fougères (lang:en)       |

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, along with the items of their creators, the items of the creators' places of birth in Brittany, their inventory numbers, and images (if available)?

[Assistant]
Step 1 — I will locate the museum item on Wikidata to get its Q‑identifier. I'll search Wikidata for "Musée d'art et d'histoire de Saint-Brieuc". Then I'll verify it's the correct museum (instance of museum) before using it. I'll call search_entity next.

Question: Musée d'art et d'histoire de Saint-Brieuc

Top 10 entity alternatives:
1. Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624), also known as Musee de Saint-Brieuc, Musée de Saint-Brieuc, Saint Brieuc Museum of Art and History: is instance of museum building / museum in Saint-Brieuc, France / is instance of museum
2. Musée d'Art et d'Histoire de Geneva (wd:Q679075), also known as MAHG, Museum of Art and Design Geneva: Arts and History museum and Geneve / is instance of memory institution / is instance of history museum / museum in Geneva, Switzerland / is instance of art gallery / is instance of Art museum / is instance of art museum
3. Musée d'Art et d'Histoire (wd:Q3329620, matched via Musée d'art et d'histoire de Neuchâtel), also known as Musée d'art et d'histoire de Neuchâtel, Museum of Art and History: museum building in the city of Neuchâtel, Switzerland / is instance of memory institution / is instance of museum building / is instance of history museum / is instance of art gallery / is instance of art museum / is instance of Art museum
4. musée d'art et d'histoire de Saint-Denis (wd:Q3329627): museum in Saint-Denis, France / is instance of art gallery / is instance of Art museum / is instance of art museum
5. Musée d'art et d'histoire de Narbonne (wd:Q3329619): is instance of art gallery / museum in Narbonne, France / is instance of art museum / is instance of Art museum
6. Musée d'Art et d'Histoire de Cholet (wd:Q3329613): is instance of art gallery / is instance of art museum / is instance of Art museum / museum in Cholet, France
7. musée d'art et d'histoire de Lisieux (wd:Q3329623): is instance of art gallery / is instance of art museum / is instance of Art museum / museum in Lisieux, France
8. Musée d'art et d'histoire de Conflans (wd:Q21590086): is instance of museum / museum in France
9. Musée d'Art et d'Histoire de Chaumont (wd:Q23021635): is instance of museum / museum in France
10. Musée d'Art et d'Histoire de Granville (wd:Q3330399): is instance of museum / museum in France

[Assistant]
I'll search Wikidata for the Brittany region entity (English "Brittany", French "Bretagne") to use as the filter for creators' places of birth. I'll run a search for "Brittany".

Question: Brittany

Top 10 entity alternatives:
1. Brittany (wd:Q327): cultural area located in northwestern France / is instance of historical country / is instance of historical region / is instance of cultural region
2. Brittany (wd:Q12130), also known as Breizh, Bretagne, BZH, FR-BZH, Region of Brittany: is instance of region of France / administrative region of France / administrative region of France
3. Duchy of Brittany (wd:Q71747, matched via Brittany), also known as Bretagne, Brittany, Duché de Bretagne, Dugelezh Breizh: former European sovereign state 939–1547, then dukedom of the Kingdom of France / is instance of historical country / is instance of Duchy / is instance of duchy / is instance of realm / is subclass of duchy / is subclass of Duchy
4. Brittany (wd:Q38156), also known as Bretagnenspanieli, Breton, Bretoni, Brittany Spaniel, Epagneul breton, etc.: is instance of dog breed / dog breed
5. 51599 Brittany (wd:Q582528, matched via Brittany), also known as Brittany: is instance of asteroid / asteroid / asteroid / asteroid
6. Brittany (wd:Q11832360): is instance of peninsula / peninsula in France
7. Brittany (wd:Q1509566), also known as Brittany (first name), Brittany (given name): is instance of female given name / female given name / female given name / female given name
8. Brittany (wd:Q17986092), also known as Brittany, LA, Brittany, Louisiana: is instance of unincorporated community in the United States / human settlement in United States of America
9. province of Brittany (wd:Q18415117, matched via Brittany), also known as Brittany: is instance of historical province of France / historical province of France
10. Brittany (wd:Q36912681): is instance of family name / is instance of surname / family name / family name / surname

[Assistant]
I'll run a SPARQL SELECT to get items whose collection is the museum (wd:Q3329624), their inventory numbers (P217) and images (P18), the creators (P170) who are humans (P31 = Q5), and those creators' places of birth (P19) constrained to lie in the Brittany region (wd:Q12130) via P131* administrative chain. I'll request English labels for readability. Now I will execute that query.

execute

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  # items in the museum's collection
  ?item wdt:P195 wd:Q3329624 .

  # optional inventory number and image
  OPTIONAL { ?item wdt:P217 ?inv. }
  OPTIONAL { ?item wdt:P18 ?image. }

  # creators who are humans
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .

  # creator place of birth in Brittany (region wd:Q12130) via admin chain
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131* wd:Q12130 .

  # English labels
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER(LANG(?creatorLabel) = "en") }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel FILTER(LANG(?birthplaceLabel) = "en") }
}
ORDER BY ?itemLabel ?creatorLabel

[Assistant]
I will finalize by returning the SPARQL query I executed and a short summary of the results (number of rows and a few example rows). Then I'll provide the final SPARQL query and the summary as the answer.

answer

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  # items in the museum's collection
  ?item wdt:P195 wd:Q3329624 .

  # optional inventory number and image
  OPTIONAL { ?item wdt:P217 ?inv. }
  OPTIONAL { ?item wdt:P18 ?image. }

  # creators who are humans
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .

  # creator place of birth in Brittany (region wd:Q12130) via admin chain
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131* wd:Q12130 .

  # English labels
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER(LANG(?creatorLabel) = "en") }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel FILTER(LANG(?birthplaceLabel) = "en") }
}
ORDER BY ?itemLabel ?creatorLabel

Answer:
I executed the SPARQL query above against Wikidata. Summary of results:
- Rows returned: 46 (each row is an item in the Musée d'art et d'histoire de Saint-Brieuc collection paired with a creator whose place of birth is in Brittany).
- Returned columns: ?item (item IRI), ?itemLabel (English label if available), ?inv (inventory number, P217), ?image (P18, if available), ?creator (creator IRI), ?creatorLabel (English label if available), ?birthplace (place-of-birth IRI), ?birthplaceLabel (English label if available).

A few example rows from the results:
- item: wd:Q43306519, inventory: DOC 267, creator: Adrien Hamon (wd:Q56878961), birthplace: Bégard (wd:Q217002)
- item: wd:Q43306350, creator: Alfred Beau (wd:Q2834960), birthplace: Morlaix (wd:Q202368), image: http://commons.wikimedia.org/wiki/Special:FilePath/Le-premier-bonhomme-alfred-beau-musee-d-art-et-d-histoire-de-saint-brieuc-doc-133-cropped.jpg, inventory: DOC 133
- item: wd:Q43306631 (Paysage DOC 53), inventory: DOC 53, creator: Paul Guibé (wd:Q3371384), birthplace: Saint-Brieuc (wd:Q29234), image: http://commons.wikimedia.org/wiki/Special:FilePath/Paysage-paul-guibe-musee-d-art-et-d-histoire-de-saint-brieuc-doc-53-cropped.jpg
- item: wd:Q43306427 (Portrait of my father), inventory: DOC 178, creator: Jean-Louis Hamon (wd:Q728189), birthplace: Plouha (wd:Q217114), image: http://commons.wikimedia.org/wiki/Special:FilePath/Portrait-de-mon-pere-jean-louis-hamon-musee-d-art-et-d-histoire-de-saint-brieuc-doc-178-cropped.jpg
- item: wd:Q43306306 (Raccommodeur de faïence), inventory: DOC 115, creator: Louis-Marie Baader (wd:Q14563575), birthplace: Lannion (wd:Q207581), image: http://commons.wikimedia.org/wiki/Special:FilePath/Raccommodeur-de-faience-louis-marie-baader-musee-d-art-et-d-histoire-de-saint-brieuc-doc-115-cropped.jpg

If you want, I can:
- Return the full table in CSV/JSON form,
- Include labels in French where English labels are missing,
- Extend the query to include creators who do not have a recorded place of birth, or creators born outside Brittany (and mark their birthplace country/region).

SPARQL query used (same as above):

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?item ?itemLabel ?inv ?image ?creator ?creatorLabel ?birthplace ?birthplaceLabel WHERE {
  # items in the museum's collection
  ?item wdt:P195 wd:Q3329624 .

  # optional inventory number and image
  OPTIONAL { ?item wdt:P217 ?inv. }
  OPTIONAL { ?item wdt:P18 ?image. }

  # creators who are humans
  ?item wdt:P170 ?creator .
  ?creator wdt:P31 wd:Q5 .

  # creator place of birth in Brittany (region wd:Q12130) via admin chain
  ?creator wdt:P19 ?birthplace .
  ?birthplace wdt:P131* wd:Q12130 .

  # English labels
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER(LANG(?creatorLabel) = "en") }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel FILTER(LANG(?birthplaceLabel) = "en") }
}
ORDER BY ?itemLabel ?creatorLabel

If you want the full result table exported (CSV/JSON) or modified label-language preferences, tell me which format or preference and I'll produce it.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?const ?constLabel ?expectedSeats ( COUNT( DISTINCT ?person ) AS ?actualSeats ) WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q41582584 .
  ?stmt pq:P768 ?const .
  OPTIONAL {
    ?const wdt:P1342 ?exp1 .
  }
  OPTIONAL {
    ?const wdt:P1410 ?exp2 .
  }
  BIND( COALESCE ( ?exp1 , ?exp2 ) AS ?expectedSeats ) .
  ?const rdfs:label ?constLabel .
  FILTER ( LANG( ?constLabel ) = "en" )
}
GROUP BY ?const ?constLabel ?expectedSeats
HAVING ( COUNT( DISTINCT ?person ) > 1 )
ORDER BY DESC ( ?actualSeats )

Using entities:
- member of the 32nd Parliament of the United Kingdom (wd:Q41582584): is instance of position / is subclass of Member of Parliament / is subclass of Member of Parliament in the United Kingdom

Using properties:
- number of seats (wd:P1342 as wdt), also known as membership quantity, number of seats (members), quantity of members, seats (members), P1342: number of seats/members in an assembly (legislative house or similar) / total number of seats/members in an assembly (legislative house or similar)
- number of seats in assembly (wd:P1410 as wdt), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
- position held (wd:P39 as p/ps), also known as function, held position, holds position, job, office held, etc.: subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office
- electoral district (wd:P768 as pq), also known as constituency, electoral area, electorate, riding, seat, etc.: electoral district this person is representing, or of the ... "office contested" (P541) or "candidacy in election" (P3602) / electoral district this person is representing. Use as qualifier for "position held" (P39)

Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| const                                        | constLabel                               | expectedSeats   | actualSeats |
| -------------------------------------------- | ---------------------------------------- | --------------- | ----------- |
| Combined Scottish Universities (wd:Q5150880) | Combined Scottish Universities (lang:en) | 3 (xsd:decimal) | 3 (xsd:int) |
| Oldham (wd:Q7085618)                         | Oldham (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Down (wd:Q5302778)                           | Down (lang:en)                           | 2 (xsd:decimal) | 2 (xsd:int) |
| Dundee (wd:Q5314798)                         | Dundee (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Fermanagh and Tyrone (wd:Q5444374)           | Fermanagh and Tyrone (lang:en)           | 2 (xsd:decimal) | 2 (xsd:int) |
| ...                                          | ...                                      | ...             | ...         |
| Newcastle upon Tyne East (wd:Q42114997)      | Newcastle upon Tyne East (lang:en)       | 1 (xsd:decimal) | 2 (xsd:int) |
| Ludlow (wd:Q3336884)                         | Ludlow (lang:en)                         | 1 (xsd:decimal) | 2 (xsd:int) |
| Southampton (wd:Q11797285)                   | Southampton (lang:en)                    | 2 (xsd:decimal) | 2 (xsd:int) |
| Darlington (wd:Q1072896)                     | Darlington (lang:en)                     | 1 (xsd:decimal) | 2 (xsd:int) |
| Berwick-upon-Tweed (wd:Q1072626)             | Berwick-upon-Tweed (lang:en)             | 1 (xsd:decimal) | 2 (xsd:int) |

Answer:
I ran a query against Wikidata (SPARQL above) that finds constituencies mentioned as the electoral district (pq:P768) on position-held statements (p:P39) where the position is "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584). For each constituency it returns: the constituency IRI, the English label, an expected number of seats if present on the constituency (from P1342 or P1410), and the actual number of distinct people recorded as holding that seat in that parliament (COUNT(DISTINCT ?person)). The query filters to include only constituencies where the actual number of seats > 1.

Result summary (from the query):
- Number of constituencies returned: 34
- Each returned row includes: constituency IRI, English label, expectedSeats (if any), actualSeats (count of distinct persons representing that constituency in the 32nd Parliament).

If you want the full tabular output (all 34 rows) in CSV or as an inline table, I can provide it. If you want any additional filtering (for example, only constituencies with expectedSeats > 1, or breakdowns of who the members were), tell me and I will refine the query.

I ran a query against Wikidata (SPARQL above) that finds constituencies mentioned as the electoral district (pq:P768) on position-held statements (p:P39) where the position is "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584). For each constituency it returns: the constituency IRI, the English label, an expected number of seats if present on the constituency (from P1342 or P1410), and the actual number of distinct people recorded as holding that seat in that parliament (COUNT(DISTINCT ?person)). The query filters to include only constituencies where the actual number of seats > 1.

Result summary (from the query):
- Number of constituencies returned: 34
- Each returned row includes: constituency IRI, English label, expectedSeats (if any), actualSeats (count of distinct persons representing that constituency in the 32nd Parliament).

If you want the full tabular output (all 34 rows) in CSV or as an inline table, I can provide it. If you want any additional filtering (for example, only constituencies with expectedSeats > 1, or breakdowns of who the members were), tell me and I will refine the query.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?const ?constLabel ?expectedSeats ( COUNT( DISTINCT ?person ) AS ?actualSeats ) WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q41582584 .
  ?stmt pq:P768 ?const .
  OPTIONAL {
    ?const wdt:P1342 ?exp1 .
  }
  OPTIONAL {
    ?const wdt:P1410 ?exp2 .
  }
  BIND( COALESCE ( ?exp1 , ?exp2 ) AS ?expectedSeats ) .
  ?const rdfs:label ?constLabel .
  FILTER ( LANG( ?constLabel ) = "en" )
}
GROUP BY ?const ?constLabel ?expectedSeats
HAVING ( COUNT( DISTINCT ?person ) > 1 )
ORDER BY DESC ( ?actualSeats )

Using entities:
- member of the 32nd Parliament of the United Kingdom (wd:Q41582584): is instance of position / is subclass of Member of Parliament / is subclass of Member of Parliament in the United Kingdom

Using properties:
- number of seats (wd:P1342 as wdt), also known as membership quantity, number of seats (members), quantity of members, seats (members), P1342: number of seats/members in an assembly (legislative house or similar) / total number of seats/members in an assembly (legislative house or similar)
- number of seats in assembly (wd:P1410 as wdt), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
- position held (wd:P39 as p/ps), also known as function, held position, holds position, job, office held, etc.: subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office / subject currently or formerly holds the object position or public office
- electoral district (wd:P768 as pq), also known as constituency, electoral area, electorate, riding, seat, etc.: electoral district this person is representing, or of the ... "office contested" (P541) or "candidacy in election" (P3602) / electoral district this person is representing. Use as qualifier for "position held" (P39)

Execution result:
Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| const                                        | constLabel                               | expectedSeats   | actualSeats |
| -------------------------------------------- | ---------------------------------------- | --------------- | ----------- |
| Combined Scottish Universities (wd:Q5150880) | Combined Scottish Universities (lang:en) | 3 (xsd:decimal) | 3 (xsd:int) |
| Oldham (wd:Q7085618)                         | Oldham (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Down (wd:Q5302778)                           | Down (lang:en)                           | 2 (xsd:decimal) | 2 (xsd:int) |
| Dundee (wd:Q5314798)                         | Dundee (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Fermanagh and Tyrone (wd:Q5444374)           | Fermanagh and Tyrone (lang:en)           | 2 (xsd:decimal) | 2 (xsd:int) |
| ...                                          | ...                                      | ...             | ...         |
| Newcastle upon Tyne East (wd:Q42114997)      | Newcastle upon Tyne East (lang:en)       | 1 (xsd:decimal) | 2 (xsd:int) |
| Ludlow (wd:Q3336884)                         | Ludlow (lang:en)                         | 1 (xsd:decimal) | 2 (xsd:int) |
| Southampton (wd:Q11797285)                   | Southampton (lang:en)                    | 2 (xsd:decimal) | 2 (xsd:int) |
| Darlington (wd:Q1072896)                     | Darlington (lang:en)                     | 1 (xsd:decimal) | 2 (xsd:int) |
| Berwick-upon-Tweed (wd:Q1072626)             | Berwick-upon-Tweed (lang:en)             | 1 (xsd:decimal) | 2 (xsd:int) |

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the constituencies for elected members of the 32nd Parliament of the United Kingdom, along with the expected number of seats (if available) and the actual number of seats? Only include constituencies where the actual number of seats is greater than 1.

[Assistant]
Step 1: I'll search Wikidata for the item corresponding to "32nd Parliament of the United Kingdom" to get its Q identifier. Then I'll inspect properties to find "elected members" or membership constituencies. I'll search for the parliament entity first. I'll call search_entity for that.

Question: 32nd Parliament of the United Kingdom

Top 10 entity alternatives:
1. 32nd Parliament of the United Kingdom (wd:Q21084449), also known as 1922-1923 Parliament, 32nd UK Parliament: is instance of parliamentary term in the United Kingdom / Parliament of the United Kingdom, 1922-1923
2. member of the 32nd Parliament of the United Kingdom (wd:Q41582584): is subclass of Member of Parliament in the United Kingdom / is subclass of Member of Parliament / is instance of position
3. 1st session of the 32nd Parliament of the United Kingdom (wd:Q108997479): is instance of legislative session
4. 2nd session of the 32nd Parliament of the United Kingdom (wd:Q108997478): is instance of legislative session
5. Act of the Parliament of the United Kingdom (wd:Q4677783, matched via Act of Parliament of the United Kingdom), also known as Act of Parliament of the United Kingdom, Act of the United Kingdom Parliament, United Kingdom Act of Parliament: primary legislation in the United Kingdom / primary legislation in the United Kingdom / primary legislation in the United Kingdom / is instance of type of legislation / is subclass of act of parliament / is subclass of Act of Parliament
6. Parliament of the United Kingdom (wd:Q11010), also known as British legislature, British Parliament, Parliament, Parliament of Britain, Parliament of the UK, etc.: supreme legislative body of the United Kingdom / is instance of bicameral legislature / supreme legislative body of the UK / is instance of parliament
7. Member of Parliament (wd:Q16707842, matched via member of the United Kingdom parliament), also known as Member of Parliament in the Parliament of the United Kingdom, Member of Parliament in the United Kingdom, member of the British parliament, member of the House of Commons, member of the UK parliament, etc.: representative in the House of Commons of the Parliament of the United Kingdom / political representative in the House of Commons of the United Kingdom / is subclass of member of parliament / is instance of position
8. Parliament of Great Britain (wd:Q2739604, matched via Parliament of the United Kingdom), also known as British Parliament, Parliament of the United Kingdom, Parliament of the United Kingdom of Great Britain: United English and Scottish parliament 1707–1800 / is instance of bicameral legislature / is instance of parliament
9. Dissolution of the Parliament of the United Kingdom (wd:Q5282804): is instance of dissolution of parliament / British parliamentary procedure
10. Salaries of Members of the United Kingdom Parliament (wd:Q7403674)

[Assistant]
I'll list triples for the item "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584) to see how it's modeled and whether it links members to constituencies.

list

wd:Q41582584

Got 105 rows and 3 columns, showing the first 10 rows below:
| subject                                                            | property                                           | object                                                             |
| ------------------------------------------------------------------ | -------------------------------------------------- | ------------------------------------------------------------------ |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | instance of (wdt:P31)                              | position (wd:Q4164871)                                             |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | country (wdt:P17)                                  | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | subclass of (wdt:P279)                             | Member of Parliament (wd:Q16707842)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | inception (wdt:P571)                               | 1922-11-15T00:00:00Z (xsd:dateTime)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | follows (wdt:P155)                                 | member of the 31st Parliament of the United Kingdom (wd:Q41582582) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | followed by (wdt:P156)                             | member of the 33rd Parliament of the United Kingdom (wd:Q41582585) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | on focus list of Wikimedia project (wdt:P5008)     | WikiProject Q68235346 (wd:Q68235346)                               |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | applies to jurisdiction (wdt:P1001)                | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | topic's main category (wdt:P910)                   | wd:Q8852972                                                        |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | dissolved, abolished or demolished date (wdt:P576) | 1923-11-16T00:00:00Z (xsd:dateTime)                                |
| ...                                                                | ...                                                | ...                                                                |

[Assistant]
I'll search for properties related to "constituency", "electoral district", and "constituency represented" to find the correct property (P#) to use in the query.

Question: constituency represented

Top 10 property alternatives:
1. electoral district (wd:P768 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via constituency), also known as constituency, electoral area, electorate, riding, seat, etc.: electoral district this person is representing, or of the ... "office contested" (P541) or "candidacy in election" (P3602) / electoral district this person is representing. Use as qualifier for "position held" (P39)
2. associated electoral district (wd:P7938 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via constituency associated with place), also known as associated constituency, constituency associated with place, electoral district associated with place, located in electoral district, located in the constituency, etc.: constituencies/electoral districts in which a place is ... from administrative entities (P131) in predefined countries
3. number of constituencies (wd:P4253 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via num_constituencies), also known as num_constituencies, P4253: number of constituencies related to a legislative body / number of constituencies related to a legislative body
4. electoral district number (wd:P4565 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as district number, P4565: number of the constituency/electoral district established by ... lack legal force, even if contained in a government database.
5. represented by (wd:P1875 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via representative), also known as agent, managed by, manager, managing agent, rep, etc.: person or agency that represents or manages the subject
6. electorate (wd:P1831 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as P1831: number of persons qualified to vote during elections
7. elected in (wd:P2715 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as election, re-elected in, P2715: qualifier for statements in position held to link the ... from, or re-election in which the position was confirmed / election in which a person gained a position (as qualifier), or a position or legislative term is/was elected (as main value)
8. registration district (wd:P5564 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as civil registration district, ecclesiastical registration district, P5564: reference property indicating location for references to a civil or ecclesiastical registry
9. political coalition (wd:P5832 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via electoral list), also known as alliance, coalition, electoral alliance, electoral block, electoral list, etc.: agreement for cooperation between different political parties / is subproperty of member of
10. elector (wd:P2319 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via type of electors), also known as eligible voters, qualified voters, type of electors, P2319: people or other entities which are qualified to participate in the subject election

[Assistant]
Next I'll search for properties that could represent the expected number of seats and the actual number of seats for constituencies — likely P seats (e.g., "number of seats" P?) — to ensure I use the correct property IDs.

Question: number of seats constituency seats number of seats

Top 10 property alternatives:
1. number of constituencies (wd:P4253 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as num_constituencies, P4253: number of constituencies related to a legislative body / number of constituencies related to a legislative body
2. electoral district number (wd:P4565 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as district number, P4565: number of the constituency/electoral district established by ... lack legal force, even if contained in a government database.
3. electoral district (wd:P768 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as constituency, electoral area, electorate, riding, seat, etc.: electoral district this person is representing, or of the ... "office contested" (P541) or "candidacy in election" (P3602) / electoral district this person is representing. Use as qualifier for "position held" (P39)
4. Library of Parliament of Canada riding ID (wd:P10644 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as P10644: external identifier for instances of Q17202187 (federal electoral district of Canada) on Q1125633 (Library of Parliament)
5. Italian Chamber of Deputies dati ID (wd:P1341 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as Chamber of Deputies of Italy dati ID, P1341: identifier for incumbent and former deputies from the Italian Chamber of Deputies
6. number of seats in assembly (wd:P1410 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as number of delegates, number of representatives, number of seats, seats, P1410: number of seats a political party, faction, or group has in a given assembly
7. electorate (wd:P1831 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as P1831: number of persons qualified to vote during elections
8. associated electoral district (wd:P7938 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as associated constituency, constituency associated with place, electoral district associated with place, located in electoral district, located in the constituency, etc.: constituencies/electoral districts in which a place is ... from administrative entities (P131) in predefined countries
9. elector (wd:P2319 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via type of electors), also known as eligible voters, qualified voters, type of electors, P2319: people or other entities which are qualified to participate in the subject election
10. number of seats (wd:P1342 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as membership quantity, number of seats (members), quantity of members, seats (members), P1342: total number of seats/members in an assembly (legislative house or similar) / number of seats/members in an assembly (legislative house or similar)

[Assistant]
I'll search for a known constituency that historically had multiple seats (e.g., "Manchester (UK Parliament constituency)") to inspect which properties record seat counts.

Question: Manchester (UK Parliament constituency)

Top 10 entity alternatives:
1. Torfaen (wd:Q875434, matched via Torfaen Constituency (UK Parliament)), also known as Torfaen Constituency (UK Parliament), Torfaen Parliamentary Constituency, Torfaen (UK Parliament constituency): is instance of constituency of the Parliament of the United Kingdom / Parliamentary constituency in the United Kingdom, 1983 onwards / is instance of constituency of the House of Commons
2. constituency of the House of Commons (wd:Q27971968, matched via UK Parliament constituency), also known as Commons constituency, constituency in the United Kingdom, constituency of the UK parliament, constituency of the United Kingdom, electoral area of the UK, etc.: constituency for the British House of Commons (post-1801) / constituency for the British House of Commons (post-1801) / is subclass of constituency in the United Kingdom / is subclass of United Kingdom constituencies / is subclass of single-member district
3. Corby (wd:Q3335626, matched via Corby (UK Parliament constituency)), also known as Corby (UK Parliament constituency): is instance of constituency of the Parliament of the United Kingdom / Parliamentary constituency in the United Kingdom, 1983-2024 / is instance of constituency of the House of Commons
4. Merthyr Tydfil (wd:Q6820684, matched via Merthyr Tydfil (UK Parliament constituency)), also known as Merthyr Tudful, Merthyr Tydfil (UK Parliament constituency): parliamentary constituency centred on the town of Merthyr Tydfil in Glamorgan / is instance of constituency of the Parliament of the United Kingdom / Parliamentary constituency in the United Kingdom, 1950-1983 / is instance of constituency of the House of Commons
5. Doncaster North (wd:Q1070108, matched via Doncaster North (UK Parliamentary constituency)), also known as Doncaster North (UK Parliamentary constituency): is instance of constituency of the Parliament of the United Kingdom / Parliamentary constituency in the United Kingdom, 1983 onwards / is instance of constituency of the House of Commons
6. Horsham and Crawley (wd:Q15225323, matched via Horsham & Crawley (UK Parliament constituency)), also known as Horsham & Crawley (UK Parliament constituency): is instance of constituency of the Parliament of the United Kingdom / Parliamentary constituency in the United Kingdom, 1974-1983 / is instance of constituency of the House of Commons
7. Manchester (wd:Q18125, matched via Manchester, UK), also known as Capital of the North, Cottonopolis, Madchester, Manchester, England, Manchester, Lancashire, etc.: major city in Greater Manchester, England, UK / major city in Greater Manchester, England, UK / major city in Greater Manchester, England, UK / is instance of unparished area / is instance of big city / is instance of city
8. Parliament of the United Kingdom (wd:Q11010, matched via Parliament of the UK), also known as British legislature, British Parliament, Parliament, Parliament of Britain, Parliament of the UK, etc.: supreme legislative body of the United Kingdom / is instance of bicameral legislature / supreme legislative body of the UK / is instance of parliament
9. constituency of the European Parliament (wd:Q2631496, matched via European Parliament constituency), also known as electoral division for European elections, electoral division of European elections, Europarl constituency, European Parliamentary constituencies, European Parliamentary constituency, etc.: electoral district for a European Parliament seat / electoral district for a European Parliament seat / is subclass of electoral unit / is subclass of constituency / is subclass of riding
10. constituency in the United Kingdom (wd:Q2064521, matched via UK constituency), also known as constituency of the United Kingdom, electoral area of the UK, UK constituency, United Kingdom constituencies, United Kingdom constituency: is subclass of administrative territorial entity of the United Kingdom / various types of electoral area in the UK / is subclass of electoral unit / is subclass of constituency / is subclass of riding

[Assistant]
I'll run a SPARQL SELECT query that:
- finds p:P39 statements where the position is "member of the 32nd Parliament" (wd:Q41582584),
- extracts the electoral district qualifier (pq:P768) as the constituency,
- counts distinct persons per constituency (actual seats),
- fetches an expected number of seats from properties P1342 or P1410 if present,
- filters to only include constituencies with actual seats > 1,
- returns constituency IRIs, English labels, expected seats (if any), and actual seats.

Now I'll execute that query.

execute

SELECT ?const ?constLabel ?expectedSeats (COUNT(DISTINCT ?person) AS ?actualSeats) WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q41582584 .
  ?stmt pq:P768 ?const .
  OPTIONAL { ?const wdt:P1342 ?exp1 . }
  OPTIONAL { ?const wdt:P1410 ?exp2 . }
  BIND(COALESCE(?exp1, ?exp2) AS ?expectedSeats) .
  ?const rdfs:label ?constLabel . FILTER(LANG(?constLabel) = "en")
}
GROUP BY ?const ?constLabel ?expectedSeats
HAVING (COUNT(DISTINCT ?person) > 1)
ORDER BY DESC(?actualSeats)

Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| const                                        | constLabel                               | expectedSeats   | actualSeats |
| -------------------------------------------- | ---------------------------------------- | --------------- | ----------- |
| Combined Scottish Universities (wd:Q5150880) | Combined Scottish Universities (lang:en) | 3 (xsd:decimal) | 3 (xsd:int) |
| Oldham (wd:Q7085618)                         | Oldham (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Down (wd:Q5302778)                           | Down (lang:en)                           | 2 (xsd:decimal) | 2 (xsd:int) |
| Dundee (wd:Q5314798)                         | Dundee (lang:en)                         | 2 (xsd:decimal) | 2 (xsd:int) |
| Fermanagh and Tyrone (wd:Q5444374)           | Fermanagh and Tyrone (lang:en)           | 2 (xsd:decimal) | 2 (xsd:int) |
| ...                                          | ...                                      | ...             | ...         |
| Newcastle upon Tyne East (wd:Q42114997)      | Newcastle upon Tyne East (lang:en)       | 1 (xsd:decimal) | 2 (xsd:int) |
| Ludlow (wd:Q3336884)                         | Ludlow (lang:en)                         | 1 (xsd:decimal) | 2 (xsd:int) |
| Southampton (wd:Q11797285)                   | Southampton (lang:en)                    | 2 (xsd:decimal) | 2 (xsd:int) |
| Darlington (wd:Q1072896)                     | Darlington (lang:en)                     | 1 (xsd:decimal) | 2 (xsd:int) |
| Berwick-upon-Tweed (wd:Q1072626)             | Berwick-upon-Tweed (lang:en)             | 1 (xsd:decimal) | 2 (xsd:int) |

[Assistant]
I'll rerun the same query but order by constituency label so I can produce a clean alphabetical list of all constituencies (only those with actualSeats > 1). I will then provide the full list (constituency IRI, English label, expected seats if present, and actual seats).

SELECT ?const ?constLabel ?expectedSeats (COUNT(DISTINCT ?person) AS ?actualSeats) WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q41582584 .
  ?stmt pq:P768 ?const .
  OPTIONAL { ?const wdt:P1342 ?exp1 . }
  OPTIONAL { ?const wdt:P1410 ?exp2 . }
  BIND(COALESCE(?exp1, ?exp2) AS ?expectedSeats) .
  ?const rdfs:label ?constLabel . FILTER(LANG(?constLabel) = "en")
}
GROUP BY ?const ?constLabel ?expectedSeats
HAVING (COUNT(DISTINCT ?person) > 1)
ORDER BY ?constLabel

Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| const                                    | constLabel                           | expectedSeats   | actualSeats |
| ---------------------------------------- | ------------------------------------ | --------------- | ----------- |
| Antrim (wd:Q4777327)                     | Antrim (lang:en)                     | 2 (xsd:decimal) | 2 (xsd:int) |
| Berwick-upon-Tweed (wd:Q1072626)         | Berwick-upon-Tweed (lang:en)         | 1 (xsd:decimal) | 2 (xsd:int) |
| Blackburn (wd:Q43291394)                 | Blackburn (lang:en)                  | 2 (xsd:decimal) | 2 (xsd:int) |
| Bolton (wd:Q4940138)                     | Bolton (lang:en)                     | 2 (xsd:decimal) | 2 (xsd:int) |
| Brighton (wd:Q4967590)                   | Brighton (lang:en)                   | 2 (xsd:decimal) | 2 (xsd:int) |
| ...                                      | ...                                  | ...             | ...         |
| Tiverton (wd:Q7810397)                   | Tiverton (lang:en)                   | 1 (xsd:decimal) | 2 (xsd:int) |
| Whitechapel and St Georges (wd:Q7995781) | Whitechapel and St Georges (lang:en) | 1 (xsd:decimal) | 2 (xsd:int) |
| Willesden East (wd:Q8003680)             | Willesden East (lang:en)             | 1 (xsd:decimal) | 2 (xsd:int) |
| Yeovil (wd:Q750677)                      | Yeovil (lang:en)                     | 1 (xsd:decimal) | 2 (xsd:int) |
| Ynys Môn (wd:Q750661)                    | Ynys Môn (lang:en)                   | 1 (xsd:decimal) | 2 (xsd:int) |

[Assistant]
I'll run a SPARQL query that concatenates all result rows into a single newline-separated string so I can present the complete list in the response. This avoids truncated table previews.

SELECT (GROUP_CONCAT(?entry; separator="\n") AS ?list) WHERE {
  {
    SELECT ?const ?constLabel (COALESCE(STR(?expectedSeats), "") AS ?expectedStr) (STR(COUNT(DISTINCT ?person)) AS ?actualStr) WHERE {
      ?person p:P39 ?stmt .
      ?stmt ps:P39 wd:Q41582584 .
      ?stmt pq:P768 ?const .
      OPTIONAL { ?const wdt:P1342 ?exp1 . }
      OPTIONAL { ?const wdt:P1410 ?exp2 . }
      BIND(COALESCE(?exp1, ?exp2) AS ?expectedSeats) .
      ?const rdfs:label ?constLabel . FILTER(LANG(?constLabel) = "en")
    }
    GROUP BY ?const ?constLabel ?expectedSeats
    HAVING (COUNT(DISTINCT ?person) > 1)
    ORDER BY ?constLabel
  }
  BIND(CONCAT(?constLabel, " | expected: ", ?expectedStr, " | actual: ", ?actualStr) AS ?entry)
}

SPARQL execution failed:
Assertion `singleResult.size() == 1` failed. An expression returned a vector expression result that contained an unexpected amount of entries.. Please report this to the developers. In file "/qlever/src/engine/GroupByImpl.cpp " at line 248

[Assistant]
answer

SELECT ?const ?constLabel ?expectedSeats (COUNT(DISTINCT ?person) AS ?actualSeats) WHERE {
  ?person p:P39 ?stmt .
  ?stmt ps:P39 wd:Q41582584 .
  ?stmt pq:P768 ?const .
  OPTIONAL { ?const wdt:P1342 ?exp1 . }
  OPTIONAL { ?const wdt:P1410 ?exp2 . }
  BIND(COALESCE(?exp1, ?exp2) AS ?expectedSeats) .
  ?const rdfs:label ?constLabel . FILTER(LANG(?constLabel) = "en")
}
GROUP BY ?const ?constLabel ?expectedSeats
HAVING (COUNT(DISTINCT ?person) > 1)
ORDER BY DESC(?actualSeats)

Answer:
I ran a query against Wikidata (SPARQL above) that finds constituencies mentioned as the electoral district (pq:P768) on position-held statements (p:P39) where the position is "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584). For each constituency it returns: the constituency IRI, the English label, an expected number of seats if present on the constituency (from P1342 or P1410), and the actual number of distinct people recorded as holding that seat in that parliament (COUNT(DISTINCT ?person)). The query filters to include only constituencies where the actual number of seats > 1.

Result summary (from the query):
- Number of constituencies returned: 34
- Each returned row includes: constituency IRI, English label, expectedSeats (if any), actualSeats (count of distinct persons representing that constituency in the 32nd Parliament).

If you want the full tabular output (all 34 rows) in CSV or as an inline table, I can provide it. If you want any additional filtering (for example, only constituencies with expectedSeats > 1, or breakdowns of who the members were), tell me and I will refine the query.