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 xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?person ?personLabel ( GROUP_CONCAT( DISTINCT STR( ?dod ) ; separator = "; " ) AS ?deathDates ) ( GROUP_CONCAT( DISTINCT STR( ?archivesAt ) ; separator = "; " ) AS ?archivesAtIRIs ) ( GROUP_CONCAT( DISTINCT ?archivesAtLabel ; separator = "; " ) AS ?archivesAtLabels ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P21 wd:Q6581072 ; p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z" ^^ xsd:dateTime ) {
    ?person wdt:P19 ?place .
    ?place wdt:P131 * wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?place .
    ?place wdt:P131 * wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG( ?archivesAtLabel ) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG( ?personLabel ) = "en" )
}
GROUP BY ?person ?personLabel
ORDER BY ?personLabel

Using entities:
- Bouches-du-Rhône (wd:Q3240), also known as Bouches du Rhone, Bouches-du-Rhone, Mouths of the Rhône: is instance of department of France / French department in Provence-Alpes-Côte d'Azur
- 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
- female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.: is instance of sex of humans / is instance of gender / to be used in "sex or gender" (P21) to indicate that the human subject is a female / to be used in "sex or gender" (P21) to indicate that the ... (P10339) to indicate that a word refers to a female person

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.
- 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
- place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.: is subproperty of location / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character
- sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279) / sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279)
- 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
- archives at (wd:P485 as wdt), also known as archive location, correspondence at, papers at, P485: is subproperty of significant place / the institution holding the subject's archives / the institution holding the subject's archives
- date of death (wd:P570 as p/ps), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished / is subproperty of dissolved, abolished or demolished date / is subproperty of end time / date on which the subject died / date on which the subject died / date on which the subject died

Answer:
I ran the query above on Wikidata. Summary of results and notes:

- Total distinct female human individuals matching the criteria: 150.
- Criteria used: humans (wdt:P31 = wd:Q5), female (wdt:P21 = wd:Q6581072), date of death (p:P570 / ps:P570) earlier than 1948-01-01, and either place of birth (P19) or place of death (P20) located in Bouches-du-Rhône (wd:Q3240) or in an administrative child of it (via wdt:P131*).
- For each person I returned: the person IRI, English label, concatenated death date(s) (from ps:P570), concatenated archive institution IRIs (wdt:P485) and their English labels (if available).

Sample rows (person label — death date(s) — archive institution if any):
- Adèle Rebuffel (wd:Q2825436) — 1861-10-12T00:00:00Z — (no archives recorded)
- Aglaé, Charlotte, Mélanie de Forbin Gardane (wd:Q94294766) — 1841-11-16T00:00:00Z — (no archives recorded)
- Aglaé Constantin (wd:Q111660258) — 1875-02-17T00:00:00Z — (no archives recorded)
- Agnes d'Aguillenqui (wd:Q33141405) — 1672-06-18T00:00:00Z — (no archives recorded)
- Aleissandrino Bremound (wd:Q2927289) — 1898-01-01T00:00:00Z; 1898-06-22T00:00:00Z — (no archives recorded)
- Yvette Guilbert (wd:Q239838) — 1944-02-02T00:00:00Z; 1944-02-03T00:00:00Z — http://www.wikidata.org/entity/Q2860507 (Departmental archives of Yvelines)
- Yvonne Calment (wd:Q58208585) — 1934-01-19T00:00:00Z — (no archives recorded)

Notes, caveats and next steps:
- Some persons have multiple death-date statements (hence multiple dates concatenated). I included all ps:P570 values that satisfy the date filter (i.e., each statement date < 1948-01-01). If you prefer one canonical death date per person (e.g., the most specific or the latest/earliest), I can adjust the query to select that.
- The archives institution (P485) is optional; many persons do not have that property on Wikidata. Where present, I included both the institution IRI and its English label (if an English label exists). If you want labels in French or any other language, tell me and I will change the label filter.
- The place-of-birth / place-of-death matching uses wdt:P131* so it will include persons born/died in municipalities or places whose administrative parent chain includes the Bouches-du-Rhône department. If you prefer to restrict only to items whose P19/P20 is exactly wd:Q3240 (the department item itself), I can change that.

If you want the complete list (all 150 rows) verbatim, or exported as CSV/TSV, or limited to a smaller subset (e.g., persons with archives only), tell me which format and I will provide it.

I ran the query above on Wikidata. Summary of results and notes:

- Total distinct female human individuals matching the criteria: 150.
- Criteria used: humans (wdt:P31 = wd:Q5), female (wdt:P21 = wd:Q6581072), date of death (p:P570 / ps:P570) earlier than 1948-01-01, and either place of birth (P19) or place of death (P20) located in Bouches-du-Rhône (wd:Q3240) or in an administrative child of it (via wdt:P131*).
- For each person I returned: the person IRI, English label, concatenated death date(s) (from ps:P570), concatenated archive institution IRIs (wdt:P485) and their English labels (if available).

Sample rows (person label — death date(s) — archive institution if any):
- Adèle Rebuffel (wd:Q2825436) — 1861-10-12T00:00:00Z — (no archives recorded)
- Aglaé, Charlotte, Mélanie de Forbin Gardane (wd:Q94294766) — 1841-11-16T00:00:00Z — (no archives recorded)
- Aglaé Constantin (wd:Q111660258) — 1875-02-17T00:00:00Z — (no archives recorded)
- Agnes d'Aguillenqui (wd:Q33141405) — 1672-06-18T00:00:00Z — (no archives recorded)
- Aleissandrino Bremound (wd:Q2927289) — 1898-01-01T00:00:00Z; 1898-06-22T00:00:00Z — (no archives recorded)
- Yvette Guilbert (wd:Q239838) — 1944-02-02T00:00:00Z; 1944-02-03T00:00:00Z — http://www.wikidata.org/entity/Q2860507 (Departmental archives of Yvelines)
- Yvonne Calment (wd:Q58208585) — 1934-01-19T00:00:00Z — (no archives recorded)

Notes, caveats and next steps:
- Some persons have multiple death-date statements (hence multiple dates concatenated). I included all ps:P570 values that satisfy the date filter (i.e., each statement date < 1948-01-01). If you prefer one canonical death date per person (e.g., the most specific or the latest/earliest), I can adjust the query to select that.
- The archives institution (P485) is optional; many persons do not have that property on Wikidata. Where present, I included both the institution IRI and its English label (if an English label exists). If you want labels in French or any other language, tell me and I will change the label filter.
- The place-of-birth / place-of-death matching uses wdt:P131* so it will include persons born/died in municipalities or places whose administrative parent chain includes the Bouches-du-Rhône department. If you prefer to restrict only to items whose P19/P20 is exactly wd:Q3240 (the department item itself), I can change that.

If you want the complete list (all 150 rows) verbatim, or exported as CSV/TSV, or limited to a smaller subset (e.g., persons with archives only), tell me which format and I will provide it.

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 xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?person ?personLabel ( GROUP_CONCAT( DISTINCT STR( ?dod ) ; separator = "; " ) AS ?deathDates ) ( GROUP_CONCAT( DISTINCT STR( ?archivesAt ) ; separator = "; " ) AS ?archivesAtIRIs ) ( GROUP_CONCAT( DISTINCT ?archivesAtLabel ; separator = "; " ) AS ?archivesAtLabels ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P21 wd:Q6581072 ; p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z" ^^ xsd:dateTime ) {
    ?person wdt:P19 ?place .
    ?place wdt:P131 * wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?place .
    ?place wdt:P131 * wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG( ?archivesAtLabel ) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG( ?personLabel ) = "en" )
}
GROUP BY ?person ?personLabel
ORDER BY ?personLabel

Using entities:
- Bouches-du-Rhône (wd:Q3240), also known as Bouches du Rhone, Bouches-du-Rhone, Mouths of the Rhône: is instance of department of France / French department in Provence-Alpes-Côte d'Azur
- 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
- female (wd:Q6581072), also known as f, fairer sex, fem, female character, female gender, etc.: is instance of sex of humans / is instance of gender / to be used in "sex or gender" (P21) to indicate that the human subject is a female / to be used in "sex or gender" (P21) to indicate that the ... (P10339) to indicate that a word refers to a female person

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.
- 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
- place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.: is subproperty of location / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character
- sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279) / sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279)
- 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
- archives at (wd:P485 as wdt), also known as archive location, correspondence at, papers at, P485: is subproperty of significant place / the institution holding the subject's archives / the institution holding the subject's archives
- date of death (wd:P570 as p/ps), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished / is subproperty of dissolved, abolished or demolished date / is subproperty of end time / date on which the subject died / date on which the subject died / date on which the subject died

Execution result:
Got 150 rows and 5 columns, showing the first 5 and last 5 rows below:
| person                                                     | personLabel                                           | deathDates                                 | archivesAtIRIs                          | archivesAtLabels                            |
| ---------------------------------------------------------- | ----------------------------------------------------- | ------------------------------------------ | --------------------------------------- | ------------------------------------------- |
| Adèle Rebuffel (wd:Q2825436)                               | Adèle Rebuffel (lang:en)                              | 1861-10-12T00:00:00Z                       |                                         |                                             |
| Aglaé, Charlotte, Mélanie de Forbin Gardane (wd:Q94294766) | Aglaé, Charlotte, Mélanie de Forbin Gardane (lang:en) | 1841-11-16T00:00:00Z                       |                                         |                                             |
| Aglaé Constantin (wd:Q111660258)                           | Aglaé Constantin (lang:en)                            | 1875-02-17T00:00:00Z                       |                                         |                                             |
| Agnes d'Aguillenqui (wd:Q33141405)                         | Agnes d'Aguillenqui (lang:en)                         | 1672-06-18T00:00:00Z                       |                                         |                                             |
| Aleissandrino Bremound (wd:Q2927289)                       | Aleissandrino Bremound (lang:en)                      | 1898-01-01T00:00:00Z; 1898-06-22T00:00:00Z |                                         |                                             |
| ...                                                        | ...                                                   | ...                                        | ...                                     | ...                                         |
| Virginia de Blasis (wd:Q21789729)                          | Virginia de Blasis (lang:en)                          | 1838-05-12T00:00:00Z; 1838-03-12T00:00:00Z |                                         |                                             |
| Willa of Tuscany (wd:Q2054995)                             | Willa of Tuscany (lang:en)                            | 0970-01-01T00:00:00Z                       |                                         |                                             |
| Yolande of Anjou (wd:Q10303425)                            | Yolande of Anjou (lang:en)                            | 1440-07-26T00:00:00Z; 1440-01-01T00:00:00Z |                                         |                                             |
| Yvette Guilbert (wd:Q239838)                               | Yvette Guilbert (lang:en)                             | 1944-02-02T00:00:00Z; 1944-02-03T00:00:00Z | http://www.wikidata.org/entity/Q2860507 | Departmental archives of Yvelines (lang:en) |
| Yvonne Calment (wd:Q58208585)                              | Yvonne Calment (lang:en)                              | 1934-01-19T00:00:00Z                       |                                         |                                             |

[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] Which distinct female individuals were either born or died in Bouches-du-Rhône, and who died before January 1, 1948? Please include their date of death and the institution holding their archives (if available).

[Assistant]
Step 1: I'll search Wikidata for the entity corresponding to "Bouches-du-Rhône" to get its Q-id. I'll verify it's the French department.

Question: Bouches-du-Rhône

Top 10 entity alternatives:
1. Bouches-du-Rhône (wd:Q3240), also known as Bouches du Rhone, Bouches-du-Rhone, Mouths of the Rhône: French department in Provence-Alpes-Côte d'Azur / is instance of department of France
2. geography of Bouches-du-Rhône (wd:Q3123398, matched via Bouches-du-Rhône geography), also known as Bouches-du-Rhône geography: is instance of geography of geographic location
3. conseil de préfecture des Bouches-du-Rhône (wd:Q63168094, matched via CP Bouches-du-Rhône), also known as CP Bouches-du-Rhône, CP des Bouches-du-Rhône
4. general council of Bouches-du-Rhône (wd:Q2994039, matched via Bouches-du-Rhone general council), also known as Bouches-du-Rhone general council, Bouches-du-Rhône general council, conseil general des Bouches-du-Rhone, conseil général des Bouches-du-Rhône, general council of Bouches-du-Rhone: is instance of General council
5. OK Corral (wd:Q3349991, matched via OK Corral (Bouches-du-Rhône)), also known as OK Corral (Bouches-du-Rhône): is instance of amusement park / amusement park in France
6. departmental council of Bouches-du-Rhône (wd:Q23782140, matched via Bouches-du-Rhône departmental council), also known as Bouches-du-Rhône departmental council, conseil départemental des Bouches-du-Rhône: is instance of departmental council / deliberative assembly in France
7. demographics of Bouches-du-Rhône (wd:Q3044316): is subclass of demographics of region Provence-Alpes-Côte d'Azur / is instance of demographics of country or region / demographics of region
8. Saint-Mitre-les-Remparts (Bouches-du-Rhône). Saint-Blaise (wd:Q107407772): is instance of scholarly article / is instance of academic article / scientific article
9. Fontvieille (Bouches-du-Rhône). Montpaon (wd:Q107407868): is instance of scholarly article / is instance of academic article / scientific article
10. Aix-en-Provence (Bouches-du-Rhône). Notre-Dame-de-Consolation (wd:Q107408985): is instance of scholarly article / is instance of academic article / scientific article

[Assistant]
I'll search for properties related to "archives", "archives held by", or "archive" to find the property that links a person to an institution holding their archives.

Question: archives

Top 10 property alternatives:
1. streaming media URL (wd:P963 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archives), also known as archives, streaming url, P963: URL where the subject's media stream exists / is subproperty of URL
2. collection (wd:P195 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archives), also known as archival holdings, archives, art collection, bibliographic collection, book collection, etc.: art, museum, archival, or bibliographic collection of which the subject is part / art, museum, archival, or bibliographic collection of which the subject is part / is subproperty of part of
3. archives at (wd:P485 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as archive location, correspondence at, papers at, P485: the institution holding the subject's archives / the institution holding the subject's archives / is subproperty of significant place
4. collection creator (wd:P6241 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archives of), also known as archival collection creator, archive creator, archive of, archives of, collected by, etc.: entity (person, organization, etc.) that caused a record or collection to be produced or gathered
5. archive URL (wd:P1065 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via web archive), also known as archived url, archiveurl, URL archived, URL in archive, wayback machine, etc.: URL to the archived web page specified with URL property / is subproperty of URL
6. Internet Archive ID (wd:P724 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archive.org), also known as archive.org, archive.org ID, IAid, IA ID, Internet Archive identifier, etc.: globally unique ID of a given item on archive.org / identifier for an item on Internet Archive
7. archive date (wd:P2960 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as archival date, archivedate, archived in, date archived, P2960: date a document was archived / date a document was archived
8. fonds (wd:P12095 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archival fonds), also known as archival fonds, P12095: part of an archival collection which an item belongs to
9. Portrait Archive ID (wd:P9352 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via Portrait Archive identifier), also known as portraitarchiv.ch ID, Portrait Archive identifier, Swiss Portrait Archive ID, P9352: identifier for a person in the Swiss Portrait Archive / identifier for a person in the Portrait Archive / identifier for a person in the Portrait Archive
10. full work available online at (wd:P953 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via archived at), also known as archived at, article at, available at, available at URL, document at, etc.: URL of a web page containing the full work for this item / URL of a web page containing the full body of this item / is subproperty of URL

[Assistant]
I'll run a SPARQL query that:
- selects humans (?person wdt:P31 wd:Q5) who are female (wdt:P21 wd:Q6581072),
- whose place of birth (P19) or place of death (P20) is Bouches-du-Rhône (wd:Q3240),
- who have a recorded date of death (wdt:P570) earlier than 1948-01-01,
- and optionally returns the institution holding their archives (wdt:P485) and English labels.

I'll now execute this query to see the results.

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#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT DISTINCT ?person ?personLabel ?dod ?archivesAt ?archivesAtLabel WHERE {
  ?person wdt:P31 wd:Q5 ;
          wdt:P21 wd:Q6581072 ;
          wdt:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z"^^xsd:dateTime )
  {
    ?person wdt:P19 wd:Q3240 .
  } UNION {
    ?person wdt:P20 wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG(?archivesAtLabel) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG(?personLabel) = "en" )
}
ORDER BY ?personLabel

[Assistant]
The previous query returned no rows because many date-of-death values are stored as statements (p:P570 / ps:P570) rather than as direct wdt:P570 values. I'll switch to the statement pattern to capture those dates, then re-run the query.

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT DISTINCT ?person ?personLabel ?dod ?archivesAt ?archivesAtLabel WHERE {
  ?person wdt:P31 wd:Q5 ;
          wdt:P21 wd:Q6581072 ;
          p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z"^^xsd:dateTime )
  {
    ?person wdt:P19 wd:Q3240 .
  } UNION {
    ?person wdt:P20 wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG(?archivesAtLabel) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG(?personLabel) = "en" )
}
ORDER BY ?personLabel

[Assistant]
I'll run a query that uses admin-parent traversal (wdt:P131*) so places located within municipalities of Bouches-du-Rhône are included. I will again match date-of-death via p:P570 / ps:P570 and filter before 1948-01-01. Then I'll return optional archives (P485). Now I'll execute this revised query.

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT DISTINCT ?person ?personLabel ?dod ?archivesAt ?archivesAtLabel WHERE {
  ?person wdt:P31 wd:Q5 ;
          wdt:P21 wd:Q6581072 ;
          p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z"^^xsd:dateTime )
  {
    ?person wdt:P19 ?place .
    ?place wdt:P131* wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?place .
    ?place wdt:P131* wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG(?archivesAtLabel) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG(?personLabel) = "en" )
}
ORDER BY ?personLabel

[Assistant]
I'll aggregate the results so each person appears once, concatenating their death dates and any archive institutions (IRIs and English labels). I will GROUP BY the person and their English label and use GROUP_CONCAT to collect multiple death dates or multiple archive institutions. Then I'll execute the query.

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT ?person ?personLabel (GROUP_CONCAT(DISTINCT STR(?dod); separator="; ") AS ?deathDates) (GROUP_CONCAT(DISTINCT STR(?archivesAt); separator="; ") AS ?archivesAtIRIs) (GROUP_CONCAT(DISTINCT ?archivesAtLabel; separator="; ") AS ?archivesAtLabels) WHERE {
  ?person wdt:P31 wd:Q5 ;
          wdt:P21 wd:Q6581072 ;
          p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z"^^xsd:dateTime )
  {
    ?person wdt:P19 ?place .
    ?place wdt:P131* wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?place .
    ?place wdt:P131* wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG(?archivesAtLabel) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG(?personLabel) = "en" )
}
GROUP BY ?person ?personLabel
ORDER BY ?personLabel

[Assistant]
I'll finalize by returning the final SPARQL query I executed and a summary of the results (count + sample). If you want the full table I can paste it or export it in a format you prefer.

answer

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT ?person ?personLabel (GROUP_CONCAT(DISTINCT STR(?dod); separator="; ") AS ?deathDates) (GROUP_CONCAT(DISTINCT STR(?archivesAt); separator="; ") AS ?archivesAtIRIs) (GROUP_CONCAT(DISTINCT ?archivesAtLabel; separator="; ") AS ?archivesAtLabels) WHERE {
  ?person wdt:P31 wd:Q5 ;
          wdt:P21 wd:Q6581072 ;
          p:P570 ?dodStmt .
  ?dodStmt ps:P570 ?dod .
  FILTER ( ?dod < "1948-01-01T00:00:00Z"^^xsd:dateTime )
  {
    ?person wdt:P19 ?place .
    ?place wdt:P131* wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?place .
    ?place wdt:P131* wd:Q3240 .
  }
  OPTIONAL {
    ?person wdt:P485 ?archivesAt .
    ?archivesAt rdfs:label ?archivesAtLabel .
    FILTER ( LANG(?archivesAtLabel) = "en" )
  }
  ?person rdfs:label ?personLabel .
  FILTER ( LANG(?personLabel) = "en" )
}
GROUP BY ?person ?personLabel
ORDER BY ?personLabel

Answer:
I ran the query above on Wikidata. Summary of results and notes:

- Total distinct female human individuals matching the criteria: 150.
- Criteria used: humans (wdt:P31 = wd:Q5), female (wdt:P21 = wd:Q6581072), date of death (p:P570 / ps:P570) earlier than 1948-01-01, and either place of birth (P19) or place of death (P20) located in Bouches-du-Rhône (wd:Q3240) or in an administrative child of it (via wdt:P131*).
- For each person I returned: the person IRI, English label, concatenated death date(s) (from ps:P570), concatenated archive institution IRIs (wdt:P485) and their English labels (if available).

Sample rows (person label — death date(s) — archive institution if any):
- Adèle Rebuffel (wd:Q2825436) — 1861-10-12T00:00:00Z — (no archives recorded)
- Aglaé, Charlotte, Mélanie de Forbin Gardane (wd:Q94294766) — 1841-11-16T00:00:00Z — (no archives recorded)
- Aglaé Constantin (wd:Q111660258) — 1875-02-17T00:00:00Z — (no archives recorded)
- Agnes d'Aguillenqui (wd:Q33141405) — 1672-06-18T00:00:00Z — (no archives recorded)
- Aleissandrino Bremound (wd:Q2927289) — 1898-01-01T00:00:00Z; 1898-06-22T00:00:00Z — (no archives recorded)
- Yvette Guilbert (wd:Q239838) — 1944-02-02T00:00:00Z; 1944-02-03T00:00:00Z — http://www.wikidata.org/entity/Q2860507 (Departmental archives of Yvelines)
- Yvonne Calment (wd:Q58208585) — 1934-01-19T00:00:00Z — (no archives recorded)

Notes, caveats and next steps:
- Some persons have multiple death-date statements (hence multiple dates concatenated). I included all ps:P570 values that satisfy the date filter (i.e., each statement date < 1948-01-01). If you prefer one canonical death date per person (e.g., the most specific or the latest/earliest), I can adjust the query to select that.
- The archives institution (P485) is optional; many persons do not have that property on Wikidata. Where present, I included both the institution IRI and its English label (if an English label exists). If you want labels in French or any other language, tell me and I will change the label filter.
- The place-of-birth / place-of-death matching uses wdt:P131* so it will include persons born/died in municipalities or places whose administrative parent chain includes the Bouches-du-Rhône department. If you prefer to restrict only to items whose P19/P20 is exactly wd:Q3240 (the department item itself), I can change that.

If you want the complete list (all 150 rows) verbatim, or exported as CSV/TSV, or limited to a smaller subset (e.g., persons with archives only), tell me which format and I will provide it.