PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel ?dateOfDeath ?archiveInstitution WHERE {
  ?person wdt:P21 wd:Q6581072 ; wdt:P570 ?dateOfDeath .
  FILTER ( ?dateOfDeath < "1948-01-01" ^^ xsd:date ) {
    ?person wdt:P19 ?birthPlace .
    VALUES ?birthPlace {
      wd:Q231554 wd:Q23482 wd:Q47465
    }
  } UNION {
    ?person wdt:P20 ?deathPlace .
    VALUES ?deathPlace {
      wd:Q231554 wd:Q23482 wd:Q47465
    }
  }
  OPTIONAL {
    ?person wdt:P485 ?archiveInstitution .
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 20

Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                            | personLabel                            | dateOfDeath                         | archiveInstitution |
| ------------------------------------------------- | -------------------------------------- | ----------------------------------- | ------------------ |
| Amelie Talexis (wd:Q102279620)                    | Amelie Talexis (en)                    | 1911-01-08T00:00:00Z (xsd:dateTime) |                    |
| Charlotte Vauvelle (wd:Q102335084)                | Charlotte Vauvelle (en)                | 1934-05-19T00:00:00Z (xsd:dateTime) |                    |
| Caroline-Félicie Peytavin (wd:Q108039509)         | Caroline-Félicie Peytavin (en)         | 1898-03-14T00:00:00Z (xsd:dateTime) |                    |
| Lise Berty (wd:Q108672098)                        | Lise Berty (en)                        | 1943-08-22T00:00:00Z (xsd:dateTime) |                    |
| Valentine de Forbin la Barben (wd:Q109011318)     | Valentine de Forbin la Barben (en)     | 1850-01-20T00:00:00Z (xsd:dateTime) |                    |
| ...                                               | ...                                    | ...                                 | ...                |
| Genina Clapier (wd:Q120438805)                    | Genina Clapier (en)                    | 1930-01-01T00:00:00Z (xsd:dateTime) |                    |
| Friderica Ferdinandine von Benzon (wd:Q120886129) | Friderica Ferdinandine von Benzon (en) | 1828-08-30T00:00:00Z (xsd:dateTime) |                    |
| Jeanne Desparmet-Ruello (wd:Q123312431)           | Jeanne Desparmet-Ruello (en)           | 1937-02-06T00:00:00Z (xsd:dateTime) |                    |
| Jeanne Flourens (wd:Q12349752)                    | Jeanne Flourens (en)                   | 1928-07-13T00:00:00Z (xsd:dateTime) |                    |
| Marie Degrandi (wd:Q124964083)                    | Marie Degrandi (en)                    | 1945-05-04T00:00:00Z (xsd:dateTime) |                    |

I found 20 distinct female individuals who were either born or died in La Ciotat, Marseille, or Aix-en-Provence (locations within Bouches-du-Rhône) and died before January 1, 1948. Their date of death is known. However, there is no information available about the institution holding their archives for these individuals in the dataset. Here are some examples:
- Amelie Talexis, died on 1911-01-08
- Charlotte Vauvelle, died on 1934-05-19
- Caroline-Félicie Peytavin, died on 1898-03-14
- Lise Berty, died on 1943-08-22
- Valentine de Forbin la Barben, died on 1850-01-20
- Genina Clapier, died on 1930-01-01
- Friderica Ferdinandine von Benzon, died on 1828-08-30
- Jeanne Desparmet-Ruello, died on 1937-02-06
- Jeanne Flourens, died on 1928-07-13
- Marie Degrandi, died on 1945-05-04
If you want, I can provide more names or details.

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

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

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

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

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

[User] Which distinct 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]
To answer this question, I need to identify female individuals who were either born or died in Bouches-du-Rhône. Additionally, these individuals must have died before January 1, 1948. For each individual, I will retrieve their date of death and the institution holding their archives if available.

Step 1: Identify the entity for Bouches-du-Rhône.
Step 2: Identify the property for "place of birth" and "place of death."
Step 3: Identify the property for "sex or gender" to filter for females.
Step 4: Identify the property for "date of death."
Step 5: Identify the property for "institution holding archives."
Step 6: Construct a query to find distinct female individuals born or died in Bouches-du-Rhône, died before 1948-01-01, and retrieve their date of death and institution holding archives.

I will start by searching for the entity Bouches-du-Rhône.

[Tool]
Top 10 entity alternatives:
1. Bouches-du-Rhône, also known as Bouches du Rhone, Bouches-du-Rhone, Mouths of the Rhône (wd:Q3240): French department in Provence-Alpes-Côte d'Azur
2. geography of Bouches-du-Rhône, also known as Bouches-du-Rhône geography (wd:Q3123398)
3. conseil de préfecture des Bouches-du-Rhône, also known as CP Bouches-du-Rhône, CP des Bouches-du-Rhône (wd:Q63168094)
4. general council of Bouches-du-Rhône, also known as Bouches-du-Rhône general council, Bouches-du-Rhone general council, general council of Bouches-du-Rhone, conseil general des Bouches-du-Rhone, conseil général des Bouches-du-Rhône (wd:Q2994039)
5. departmental council of Bouches-du-Rhône, also known as Bouches-du-Rhône departmental council, conseil départemental des Bouches-du-Rhône (wd:Q23782140): deliberative assembly in France
6. OK Corral, also known as OK Corral (Bouches-du-Rhône) (wd:Q3349991): amusement park in France
7. demographics of Bouches-du-Rhône (wd:Q3044316): demographics of region
8. Aix-en-Provence (Bouches-du-Rhône). Notre-Dame-de-Consolation (wd:Q107408985): scientific article
9. Arles (Bouches-du-Rhône). Saint-Trophime (wd:Q107408452): scientific article
10. Député des Bouches-du-Rhône (wd:Q59661788)

[Assistant]
The entity for Bouches-du-Rhône is wd:Q3240.

Next, I will identify the properties for "place of birth," "place of death," "sex or gender," "date of death," and "institution holding archives."

I will start by searching for the property "place of birth."

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property for "place of birth" is wd:P19.

Next, I will search for the property "place of death."

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property for "place of death" is wd:P20.

Next, I will search for the property "sex or gender."

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. sexual orientation, also known as sexuality (wd:P91 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): male form of name or title (for female use P2521)
10. GSSO ID, also known as Gender, Sex, and Sexual Orientation Ontology ID, GSSO identifier, Gender, Sex, and Sexual Orientation Ontology identifier (wd:P9827 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology

[Assistant]
The property for "sex or gender" is wd:P21.

Next, I will search for the property "date of death."

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Assistant]
The property for "date of death" is wd:P570.

Next, I will search for the property "institution holding archives." I will try the query "archive institution" or "institution holding archives."

[Tool]
Top 10 property alternatives:
1. archives at, also known as archive location, correspondence at, papers at (wd:P485 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the institution holding the subject's archives, significant place
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. archive date, also known as archival date, archivedate, archived in, date archived (wd:P2960 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date a document was archived
4. documentation files at, also known as clipping files at, documentary records at, documentary records held at, documentary records held by, documentation at (wd:P10527 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): institution that holds documentation files about the subject
5. fonds, also known as archival fonds (wd:P12095 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): part of an archival collection which an item belongs to
6. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
7. archive URL, also known as URL archived, web.archive.org, web archive, wayback machine, URL in archive (wd:P1065 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URL to the archived web page specified with URL property, URL
8. Internet Archive ID, also known as Internet Archive identifier, IA ID, archive.org ID, IAid, archive.org (wd:P724 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for an item on Internet Archive
9. online access status, also known as status of website, status of webpage, state of online access, publication access status, collection access status (wd:P6954 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): property or qualifier for an ID property indicating whether linked content is directly readable online, access restriction status, has characteristic
10. type of document(s) held, also known as type of artefact(s) held, type of material in archive, type of material in collection, type of material in documentation file(s), type of resources held (wd:P11868 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): used to specify the type of document(s) contained in an archival collection or documentation file

[Assistant]
The property for "institution holding archives" is wd:P485.

Now I have the following:
- Bouches-du-Rhône entity: wd:Q3240
- Place of birth property: wd:P19
- Place of death property: wd:P20
- Sex or gender property: wd:P21
- Date of death property: wd:P570
- Institution holding archives property: wd:P485

I will construct a SPARQL query to find distinct female individuals who were either born or died in Bouches-du-Rhône, died before January 1, 1948, and include their date of death and institution holding archives if available.

[Tool] Got no rows and 5 columns

[Assistant]
The initial query returned no results. This might be due to the strict date filter or the specific place entity. I will try to relax the date filter to just the year 1948 and also check if the date of death is stored as a date or a string. I will also try to use the date filter with xsd:date instead of xsd:dateTime. Additionally, I will check if the place of birth or death is linked to Bouches-du-Rhône through a broader location (e.g., administrative territorial entity).

I will first try a query without the date filter to see if there are any female individuals born or died in Bouches-du-Rhône with date of death information.

[Tool] Got no rows and 5 columns

[Assistant]
There are no direct matches for female individuals born or died in Bouches-du-Rhône (wd:Q3240) with date of death information in the dataset. This might be because the place of birth or death is recorded with a more specific location within Bouches-du-Rhône rather than the department itself.

I will try to find locations that are within Bouches-du-Rhône and then search for female individuals born or died in those locations. I will first find locations that are administrative territorial entities within Bouches-du-Rhône.

[Tool]
Got 5 rows and 2 columns:
| location                    | locationLabel        |
| --------------------------- | -------------------- |
| La Ciotat (wd:Q231554)      | La Ciotat (en)       |
| Marseille (wd:Q23482)       | Marseille (en)       |
| Marseille (wd:Q23482)       | Marseille (en)       |
| Marseille (wd:Q23482)       | Marseille (en)       |
| Aix-en-Provence (wd:Q47465) | Aix-en-Provence (en) |

[Assistant]
I found some locations within Bouches-du-Rhône: La Ciotat (wd:Q231554), Marseille (wd:Q23482), and Aix-en-Provence (wd:Q47465).

I will now search for distinct female individuals who were either born or died in any of these locations, died before January 1, 1948, and include their date of death and institution holding archives if available.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.3 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query failed due to memory limitations. I will try to reduce the complexity by splitting the query into two parts: one for individuals born in the locations and one for individuals who died in the locations. I will first query for female individuals born in the locations who died before 1948-01-01.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.3 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query still failed due to memory limitations. I will try to reduce the limit to 10 results and run the query again for female individuals born in the locations who died before 1948-01-01.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.3 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query still failed due to memory limitations. To reduce memory usage, I will remove the optional labels and the institution holding archives for now and only retrieve the person and date of death for female individuals born in the locations who died before 1948-01-01. I will also limit the results to 10.

[Tool]
Got 10 rows and 2 columns:
| person                                                  | dateOfDeath                         |
| ------------------------------------------------------- | ----------------------------------- |
| Amelie Talexis (wd:Q102279620)                          | 1911-01-08T00:00:00Z (xsd:dateTime) |
| Caroline-Félicie Peytavin (wd:Q108039509)               | 1898-03-14T00:00:00Z (xsd:dateTime) |
| Lise Berty (wd:Q108672098)                              | 1943-08-22T00:00:00Z (xsd:dateTime) |
| Valentine de Forbin la Barben (wd:Q109011318)           | 1850-01-20T00:00:00Z (xsd:dateTime) |
| Marie, Anne, Louise, Antoinette Arnavon (wd:Q110734987) | 1844-01-23T00:00:00Z (xsd:dateTime) |
| Marie Edmonde Claire Canaple (wd:Q110750965)            | 1888-12-18T00:00:00Z (xsd:dateTime) |
| Marie, Louise, Anne, Claire Roux (wd:Q110751766)        | 1912-08-13T00:00:00Z (xsd:dateTime) |
| Joséphine Toulza (wd:Q111137539)                        | 1873-01-07T00:00:00Z (xsd:dateTime) |
| Rose-Jeanne Fajon (wd:Q113470650)                       | 1851-03-03T00:00:00Z (xsd:dateTime) |
| Catherine de Vetéris du Revest (wd:Q113578345)          | 1659-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
I found 10 distinct female individuals who were born in La Ciotat, Marseille, or Aix-en-Provence (locations within Bouches-du-Rhône) and died before January 1, 1948. I have their date of death but not yet the institution holding their archives.

Next, I will try to retrieve the institution holding archives for these individuals.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 4 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query to retrieve the institution holding archives for the individuals failed due to memory limitations. I will try to retrieve the institution holding archives for each individual one by one to reduce memory usage. I will start with the first individual Amelie Talexis (wd:Q102279620).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Amelie Talexis (wd:Q102279620).

I will now check for the second individual Caroline-Félicie Peytavin (wd:Q108039509).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Caroline-Félicie Peytavin (wd:Q108039509).

I will now check for the third individual Lise Berty (wd:Q108672098).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Lise Berty (wd:Q108672098).

I will now check for the fourth individual Valentine de Forbin la Barben (wd:Q109011318).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Valentine de Forbin la Barben (wd:Q109011318).

I will now check for the fifth individual Marie, Anne, Louise, Antoinette Arnavon (wd:Q110734987).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Marie, Anne, Louise, Antoinette Arnavon (wd:Q110734987).

I will now check for the sixth individual Marie Edmonde Claire Canaple (wd:Q110750965).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Marie Edmonde Claire Canaple (wd:Q110750965).

I will now check for the seventh individual Marie, Louise, Anne, Claire Roux (wd:Q110751766).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Marie, Louise, Anne, Claire Roux (wd:Q110751766).

I will now check for the eighth individual Joséphine Toulza (wd:Q111137539).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Joséphine Toulza (wd:Q111137539).

I will now check for the ninth individual Rose-Jeanne Fajon (wd:Q113470650).

[Tool] Got no rows and 2 columns

[Assistant]
There is no information about the institution holding archives for Rose-Jeanne Fajon (wd:Q113470650).

I will now check for the tenth individual Catherine de Vetéris du Revest (wd:Q113578345).

[Tool] Got no rows and 2 columns

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's SPARQL query is well-constructed to find female individuals born in specific locations within Bouches-du-Rhône who died before 1948, including their date of death and archive institution if available. However, the query failed to execute due to memory limitations on the endpoint. Additionally, the query only considers place of birth but does not include individuals who died in Bouches-du-Rhône, which was part of the user's question. To improve, the query should be optimized to reduce memory usage (e.g., by limiting the number of optional clauses or results) and extended to include individuals who either were born or died in Bouches-du-Rhône. Also, the query should ensure it returns the actual identifiers as required. The answer provided is plausible but incomplete and not backed by a successful query execution. Therefore, a retry with a refined query is necessary.

[Assistant]
Thank you for the feedback. I will refine the query to include female individuals who were either born or died in the locations within Bouches-du-Rhône, died before January 1, 1948, and retrieve their date of death and institution holding archives if available. To reduce memory usage, I will limit the number of results and minimize optional clauses.

I will now construct and execute the refined query.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                            | personLabel                            | dateOfDeath                         | archiveInstitution |
| ------------------------------------------------- | -------------------------------------- | ----------------------------------- | ------------------ |
| Amelie Talexis (wd:Q102279620)                    | Amelie Talexis (en)                    | 1911-01-08T00:00:00Z (xsd:dateTime) |                    |
| Charlotte Vauvelle (wd:Q102335084)                | Charlotte Vauvelle (en)                | 1934-05-19T00:00:00Z (xsd:dateTime) |                    |
| Caroline-Félicie Peytavin (wd:Q108039509)         | Caroline-Félicie Peytavin (en)         | 1898-03-14T00:00:00Z (xsd:dateTime) |                    |
| Lise Berty (wd:Q108672098)                        | Lise Berty (en)                        | 1943-08-22T00:00:00Z (xsd:dateTime) |                    |
| Valentine de Forbin la Barben (wd:Q109011318)     | Valentine de Forbin la Barben (en)     | 1850-01-20T00:00:00Z (xsd:dateTime) |                    |
| ...                                               | ...                                    | ...                                 | ...                |
| Genina Clapier (wd:Q120438805)                    | Genina Clapier (en)                    | 1930-01-01T00:00:00Z (xsd:dateTime) |                    |
| Friderica Ferdinandine von Benzon (wd:Q120886129) | Friderica Ferdinandine von Benzon (en) | 1828-08-30T00:00:00Z (xsd:dateTime) |                    |
| Jeanne Desparmet-Ruello (wd:Q123312431)           | Jeanne Desparmet-Ruello (en)           | 1937-02-06T00:00:00Z (xsd:dateTime) |                    |
| Jeanne Flourens (wd:Q12349752)                    | Jeanne Flourens (en)                   | 1928-07-13T00:00:00Z (xsd:dateTime) |                    |
| Marie Degrandi (wd:Q124964083)                    | Marie Degrandi (en)                    | 1945-05-04T00:00:00Z (xsd:dateTime) |                    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves distinct female individuals who were either born or died in the specified locations within Bouches-du-Rhône and who died before January 1, 1948. It includes their date of death and optionally the institution holding their archives, as requested. The answer provides a clear summary with examples and notes the absence of archive institution data, which is consistent with the query results. The query respects the requirement to return identifiers and labels, and the filtering and union logic is appropriate. Overall, the output is accurate, complete, and well-formatted for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel ?netWorthAmount ?unit ?unitLabel WHERE {
  ?person wdt:P21 wd:Q6581072 ; wdt:P31 wd:Q5 ; p:P2218 ?netWorthStatement .
  ?netWorthStatement ps:P2218 ?netWorthValue .
  ?netWorthValue wikibase:quantityAmount ?netWorthAmount ; wikibase:quantityUnit ?unit .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?unit rdfs:label ?unitLabel FILTER ( LANG( ?unitLabel ) = "en" )
  }
  FILTER ( ?netWorthAmount >= 1000000000 )
}
ORDER BY DESC ( ?netWorthAmount )

The query retrieves distinct female individuals with a net worth of at least 1 billion in various currencies. It includes the net worth amount and the unit (currency) label. Due to lack of explicit conversion rate data in Wikidata, the net worth in USD and conversion rates are not included.

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

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

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

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

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

[User] Who are the distinct female individuals with a net worth of at least 1 billion United States dollars? Include their net worth amount, the unit of the net worth, the conversion rate to USD, and the net worth in USD, and order by the net worth in USD in descending order. You should also include net worths in other currencies but are equivalent to more than 1 billion USD

[Assistant]
To answer this question, I need to identify the following:
1. Female individuals.
2. Their net worth with a value and unit.
3. The conversion rate of the unit to USD.
4. Calculate or retrieve the net worth in USD.
5. Filter individuals with net worth in USD at least 1 billion.
6. Order the results by net worth in USD in descending order.

Step 1: Search for the property related to "net worth" to understand how net worth is represented in Wikidata.

[Tool]
Top 10 property alternatives:
1. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): totality of wealth possessed by a person
2. net profit, also known as profit, net return, net income, clear profit, clear gain (wd:P2295 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): private entity profit after accounting for all costs
3. estimated value, also known as valuation, traded value, traded cap, price estimation, estimated worth (wd:P8340 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): estimated value of a house, company, patent, etc
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
5. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. prize money, also known as money, purse, value (wd:P2121 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): amount in a specific currency
7. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): published price listed or paid for a product (use with unit of currency)
8. numeric value, also known as numerical value, value (wd:P1181 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): numerical value of a number, a mathematical constant, or a physical constant
9. total assets, also known as assets, balance sheet total (wd:P2403 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): value of assets held by a private or public entity
10. box office, also known as earnings (wd:P2142 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): box office takings accumulated by a film, total revenue

[Assistant]
The property "net worth" is represented by wd:P2218 in Wikidata. This property can be used to find the net worth of individuals.

Step 2: I will now search for the entity representing "female" to filter individuals by gender.

[Tool]
Top 10 entity alternatives:
1. female organism, also known as ♀, female, female animal, female creature, sex — female (wd:Q43445): organism of the female sex
2. Female (wd:Q639354): 1933 Warner Bros. pre-code film
3. female, also known as female human, women, woman, lady, human female (wd:Q6581072): to be used in "sex or gender" (P21) to indicate that the human s...nder" (P10339) to indicate that a word refers to a female person
4. Female, also known as Fîmeiru ,(Female) (wd:Q5442715): 2005 film directed by Shinya Tsukamoto
5. The Female, also known as Female (wd:Q18708947): 1924 film by Sam Wood
6. female connector, also known as female contact, female fastener, female (wd:Q11659367): gender of connectors and fasteners
7. Female (wd:Q47128284): song by Keith Urban
8. Female (wd:Q5442717): 1933 novel by Donald Henderson Clarke
9. Female (wd:Q130232348): enemy type in the 2023 video game World of Horror
10. Female (wd:Q63650079): theatrical character in the play "Yerma"

[Assistant]
The entity representing "female" in the context of sex or gender is wd:Q6581072.

Step 3: I will now construct a SPARQL query to find distinct female individuals (humans) with their net worth (wdt:P2218) including the amount and unit. I will also retrieve the conversion rate to USD and calculate the net worth in USD. Then I will filter for those with net worth in USD at least 1 billion and order by net worth in USD descending.

[Tool] Got no rows and 7 columns

[Assistant]
The query returned no results. This might be because the property P2218 (net worth) is not used with qualifiers for units and conversion rates as I assumed. I will revise the approach.

Step 4: I will check how net worth is represented for some known wealthy female individuals. I will search for a known female billionaire to see how net worth is modeled. For example, "Alice Walton" is a known female billionaire. I will search for her entity.

[Tool]
Top 10 entity alternatives:
1. Alice Walton, also known as Alice Louise Walton (wd:Q289571): American heiress to the fortune of Wal-Mart Stores, Inc., philanthropist, art collector, entrepreneur, scammer
2. Alice Walton, also known as Mary Alice Walton (wd:Q21524588): American classical archaeologist, classical archaeologist, university teacher, classical scholar
3. Alice Walton (wd:Q119540350): college basketball player (2009–2010) Bethune-Cookman, basketball player
4. Alice Barcroft, also known as Alice Walton (wd:Q75643218): Peerage person ID=266456
5. Alice Anne Walton, also known as Alice A. Proietti (wd:Q101566808)
6. Mary Alice Walton (wd:Q21546583)
7. Princess Alice of Battenberg, also known as Princess Alice of Greece and Denmark, Princess Andrew of Greece and Denmark, Princess Victoria Alice Elizabeth Julia Marie of Battenberg, Alice, Princess Andrew of Greece and Denmark, Victoria Alice Elizabeth Julia Marie (wd:Q116062): Member of the House of Battenberg (1885–1969), charity worker, aristocrat, nurse, nun
8. Alice, also known as Alice, TX, Alice, Texas (wd:Q981528): city in and county seat of Jim Wells County, Texas, United States
9. 291 Alice, also known as (291) Alice, Alice (wd:Q150342): main-belt asteroid
10. Walton, also known as Walton, KY, Walton, Kentucky (wd:Q2058457): city in Boone and Kenton counties in the U.S. state of Kentucky

[Assistant]
The entity for Alice Walton is wd:Q289571.

Step 5: I will now check the net worth property (P2218) for Alice Walton to see how it is represented.

[Tool]
Got 2 rows and 3 columns:
| subject                   | property              | object                    |
| ------------------------- | --------------------- | ------------------------- |
| Alice Walton (wd:Q289571) | net worth (wdt:P2218) | 38700000000 (xsd:decimal) |
| Alice Walton (wd:Q289571) | net worth (wdt:P2218) | 44400000000 (xsd:decimal) |

[Assistant]
Alice Walton has two net worth values listed as decimals without explicit units. This suggests the values might be in USD by default or the unit is implicit.

Step 6: I will check the property P2218 (net worth) for its unit or any qualifiers that indicate the currency or conversion rate.

[Tool]
Got 1,761 rows and 3 columns, showing the first 10 rows below:
| subject                      | property              | object                     |
| ---------------------------- | --------------------- | -------------------------- |
| Jesus (wd:Q302)              | net worth (wdt:P2218) | _:bn687972                 |
| Donald Trump (wd:Q22686)     | net worth (wdt:P2218) | 2500000000 (xsd:decimal)   |
| Vladimir Putin (wd:Q7747)    | net worth (wdt:P2218) | 8891777 (xsd:decimal)      |
| Joe Biden (wd:Q6279)         | net worth (wdt:P2218) | 9000000 (xsd:decimal)      |
| Bill Gates (wd:Q5284)        | net worth (wdt:P2218) | 89800000000 (xsd:decimal)  |
| Margaret Thatcher (wd:Q7416) | net worth (wdt:P2218) | 4694605 (xsd:decimal)      |
| J. R. R. Tolkien (wd:Q892)   | net worth (wdt:P2218) | 190577 (xsd:decimal)       |
| Madonna (wd:Q1744)           | net worth (wdt:P2218) | 550000000 (xsd:decimal)    |
| Elon Musk (wd:Q317521)       | net worth (wdt:P2218) | 270100000000 (xsd:decimal) |
| Narendra Modi (wd:Q1058)     | net worth (wdt:P2218) | 391937 (xsd:decimal)       |
| ...                          | ...                   | ...                        |

[Assistant]
The net worth values are stored as decimals without explicit currency units in the direct property wdt:P2218. It seems the values are likely in USD or an implied currency.

Step 7: I will now construct a query to find distinct female humans with net worth (wdt:P2218) at least 1 billion (1000000000) and order by net worth descending. I will include the net worth amount and the individual. Since the unit and conversion rate are not explicitly stored, I will omit those fields.

[Tool]
Got 81 rows and 3 columns, showing the first 5 and last 5 rows below:
| person                                    | personLabel                       | netWorthAmount            |
| ----------------------------------------- | --------------------------------- | ------------------------- |
| Françoise Bettencourt Meyers (wd:Q516720) | Françoise Bettencourt Meyers (en) | 74800000000 (xsd:decimal) |
| MacKenzie Scott (wd:Q10322797)            | MacKenzie Scott (en)              | 59400000000 (xsd:decimal) |
| Alice Walton (wd:Q289571)                 | Alice Walton (en)                 | 44400000000 (xsd:decimal) |
| Liliane Bettencourt (wd:Q297804)          | Liliane Bettencourt (en)          | 39500000000 (xsd:decimal) |
| Alice Walton (wd:Q289571)                 | Alice Walton (en)                 | 38700000000 (xsd:decimal) |
| ...                                       | ...                               | ...                       |
| Marijke Mars (wd:Q51277712)               | Marijke Mars (en)                 | 1000000000 (xsd:decimal)  |
| Valerie Mars (wd:Q51278311)               | Valerie Mars (en)                 | 1000000000 (xsd:decimal)  |
| Ingrid Wu (wd:Q51882497)                  | Ingrid Wu (en)                    | 1000000000 (xsd:decimal)  |
| Clelia Haji-Ioannou (wd:Q52420998)        | Clelia Haji-Ioannou (en)          | 1000000000 (xsd:decimal)  |
| Helen DeVos (wd:Q42296482)                | Helen DeVos (en)                  | 1000000000 (xsd:decimal)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves distinct female individuals with a net worth of at least 1 billion USD and orders them by net worth in descending order. However, it does not include the unit of the net worth, the conversion rate to USD, or the net worth in USD for amounts given in other currencies, as requested by the user. The property used (wdt:P2218) only provides the net worth amount without unit or currency information, and no conversion is applied. To fully satisfy the user's request, the query should be refined to include net worths in other currencies, their units, conversion rates to USD, and compute the net worth in USD accordingly. This may require using additional properties or qualifiers related to currency and exchange rates, if available in the knowledge graph.

[Assistant]
The feedback indicates that the current query does not handle net worth values in other currencies and does not include the unit, conversion rate to USD, or the net worth in USD as requested. To address this, I need to:

1. Identify how net worth values in other currencies are represented in Wikidata.
2. Find the unit (currency) of the net worth.
3. Find the conversion rate of that currency to USD.
4. Calculate the net worth in USD using the conversion rate.
5. Include all these details in the query and filter by net worth in USD >= 1 billion.

Step 1: I will check if net worth values are sometimes represented as statements with qualifiers for unit and currency. I will look for examples of net worth statements with qualifiers for currency or unit.

I will search for statements with property P2218 (net worth) that have qualifiers for currency or unit. Common properties for currency are P2131 (currency of work), P498 (ISIN), or qualifiers like P2217 (currency). I will check qualifiers of net worth statements for a known wealthy individual with net worth in other currencies.

Step 2: I will check the statements for Donald Trump (wd:Q22686) who might have net worth in different currencies or with qualifiers. I will list the statements for P2218 for Donald Trump including qualifiers.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property            | object                                        |
| ------------------------ | ------------------- | --------------------------------------------- |
| Donald Trump (wd:Q22686) | net worth (p:P2218) | s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 |
| Donald Trump (wd:Q22686) | net worth (p:P2218) | s:Q22686-d3157409-4222-7037-7488-c9623edf9442 |

[Assistant] Donald Trump has two statements for net worth (P2218). I will now check the qualifiers for one of these statements to see if there is a currency or unit qualifier.

[Tool]
Got 8 rows and 3 columns:
| subject                                       | property                 | object                                       |
| --------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | point in time (pq:P585)  | 2022-03-26T00:00:00Z (xsd:dateTime)          |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | net worth (ps:P2218)     | 2500000000 (xsd:decimal)                     |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | wikibase:rank            | wikibase:PreferredRank                       |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | rdf:type                 | wikibase:BestRank                            |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | prov:wasDerivedFrom      | ref:e6205137f1cea47b2d2b8542e4dc70720543708b |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | point in time (pqv:P585) | v:88c6a714d24a32d6a0eff178ff1aa7f7           |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | net worth (psv:P2218)    | v:0ff4f9248643d2c350d7f24d56a1c22c           |
| s:Q22686-70b38d28-4298-0886-3bbf-5e7b19967368 | rdf:type                 | wikibase:Statement                           |

[Assistant]
The statement has qualifiers but none explicitly indicating currency or unit. The net worth value is 2.5 billion (2500000000) as a decimal.

Step 3: I will check if the net worth property has a unit property or if the currency is linked through another property. I will check the property P2218 for its data type and usage.

[Tool]
Got 1 row and 3 columns:
| subject               | property | object               |
| --------------------- | -------- | -------------------- |
| net worth (wdt:P2218) | rdf:type | owl:DatatypeProperty |

[Assistant]
The property P2218 (net worth) is a datatype property, which means it stores literal values (numbers) without explicit units or currency.

Step 4: I will check if there is another property related to net worth that includes currency or unit information. I will search for properties related to "net worth" that might include currency or unit.

[Tool]
Top 10 property alternatives:
1. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): totality of wealth possessed by a person
2. currency, also known as base currency, used money (wd:P38 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): currency used by item, uses
3. estimated value, also known as valuation, traded value, traded cap, price estimation, estimated worth (wd:P8340 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): estimated value of a house, company, patent, etc
4. net profit, also known as profit, net return, net income, clear profit, clear gain (wd:P2295 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): private entity profit after accounting for all costs
5. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): published price listed or paid for a product (use with unit of currency)
6. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
7. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): market value of all officially recognized final goods and services produced within a country in a given period of time
8. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a currency per ISO 4217
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. prize money, also known as money, purse, value (wd:P2121 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): amount in a specific currency

[Assistant]
The property "currency" (wdt:P38) is used to indicate the currency used by an item. It might be used in conjunction with net worth to indicate the currency of the net worth value.

Step 5: I will check if any individuals have net worth statements with the currency property (P38) as a qualifier or related property.

I will try to find a female individual with net worth and currency information. I will query for females with net worth and currency.

[Tool] Got no rows and 5 columns

[Assistant]
No results found for net worth statements with currency qualifier (P38). This suggests that net worth values may not have explicit currency qualifiers in Wikidata.

Step 6: I will check if there is a property for exchange rate or conversion rate to USD that can be used for currency conversion.

I will search for properties related to "conversion rate to USD" or "exchange rate".

[Tool]
Top 10 property alternatives:
1. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): published price listed or paid for a product (use with unit of currency)
2. currency, also known as base currency, used money (wd:P38 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): currency used by item, uses
3. foreign transaction fee, also known as FX fee (wd:P5895 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): foreign transaction fee applies to payments in foreign currencies
4. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a currency per ISO 4217
5. currency symbol description (wd:P489 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item with description of currency symbol, notation
6. balance of trade, also known as net exports (wd:P2294 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): exports minus imports. not to be confused with current account balance and balance of payments
7. inflation rate, also known as consumer price index inflation rate, CPI inflation rate, inflation rate of consumer price index (wd:P1279 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): percent change in the consumer price index (CPI)
8. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): value printed on a coin, stamp or banknote by the issuing authority
9. PPP GDP per capita, also known as GDP per capita based on purchasing power parity, GDP per capita, PPP, GDP (PPP) per capita, gross domestic product (at purchasing power parity) per capita (wd:P2299 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): GDP divided by the population total and adjusted for CPI
10. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): market value of all officially recognized final goods and services produced within a country in a given period of time

[Assistant]
The property "price" (wdt:P2284) is related to cost, exchange rate, or published price and might be used for exchange rates.

Step 7: I will check if exchange rates to USD are stored using property P2284 for currencies.

I will query for exchange rates (P2284) for currencies with USD as the unit or target.

[Tool]
Got 10 rows and 3 columns:
| currency                                              | currencyLabel                              | exchangeRate           |
| ----------------------------------------------------- | ------------------------------------------ | ---------------------- |
| Briterne og brexit: En frontberetning (wd:Q100026029) | Briterne og brexit: En frontberetning (en) | 300 (xsd:decimal)      |
| I'm Osama (wd:Q100148317)                             | I'm Osama (en)                             | 0.99 (xsd:decimal)     |
| Bubble Bash 3 (wd:Q100232965)                         | Bubble Bash 3 (en)                         | 4.99 (xsd:decimal)     |
| La Dame de Pique (wd:Q100277941)                      | La Dame de Pique (en)                      | 78650000 (xsd:decimal) |
| iPhone 12 Pro (wd:Q100319367)                        | iPhone 12 Pro (en)                        | 999 (xsd:decimal)      |
| HomePod Mini (wd:Q100326569)                          | HomePod Mini (en)                          | 99 (xsd:decimal)       |
| iPhone 12 mini (wd:Q100326594)                        | iPhone 12 mini (en)                        | 699 (xsd:decimal)      |
| French Indochinese piastre (wd:Q1003344)              | French Indochinese piastre (en)            | 5.37 (xsd:decimal)     |
| MagSafe wireless charger (wd:Q100338267)              | MagSafe wireless charger (en)              | 39 (xsd:decimal)       |
| Sleeping (wd:Q100371659)                              | Sleeping (en)                              | 23310000 (xsd:decimal) |

[Assistant]
The results do not seem to represent currency exchange rates but rather unrelated items with prices.

Step 8: I will try a different approach. I will check if there is a property for currency exchange rate or conversion rate for currencies.

I will search for properties related to "currency exchange rate".

[Tool]
Top 10 property alternatives:
1. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): published price listed or paid for a product (use with unit of currency)
2. currency, also known as base currency, used money (wd:P38 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): currency used by item, uses
3. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a currency per ISO 4217
4. foreign transaction fee, also known as FX fee (wd:P5895 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): foreign transaction fee applies to payments in foreign currencies
5. inflation rate, also known as consumer price index inflation rate, CPI inflation rate, inflation rate of consumer price index (wd:P1279 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): percent change in the consumer price index (CPI)
6. balance of trade, also known as net exports (wd:P2294 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): exports minus imports. not to be confused with current account balance and balance of payments
7. currency symbol description (wd:P489 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item with description of currency symbol, notation
8. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): market value of all officially recognized final goods and services produced within a country in a given period of time
9. PPP GDP per capita, also known as GDP per capita based on purchasing power parity, GDP per capita, PPP, GDP (PPP) per capita, gross domestic product (at purchasing power parity) per capita (wd:P2299 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): GDP divided by the population total and adjusted for CPI
10. throughput, also known as capacity, rate (wd:P2957 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): volume of units that do or can pass through or be transported by the object

[Assistant]
The property "price" (wdt:P2284) is again the closest to exchange rate or conversion rate.

Step 9: I will check if currencies have statements with property P2284 (price) that indicate their exchange rate to USD.

I will query for currencies with P2284 statements and check if any have qualifiers or references indicating conversion to USD.

[Tool]
Got 20 rows and 5 columns, showing the first 5 and last 5 rows below:
| currency                                 | currencyLabel                   | price                  | qualifier | qualifierLabel |
| ---------------------------------------- | ------------------------------- | ---------------------- | --------- | -------------- |
| wd:Q100150915                            |                                 | 0.0625 (xsd:decimal)   |           |                |
| French Indochinese piastre (wd:Q1003344) | French Indochinese piastre (en) | 5.37 (xsd:decimal)     |           |                |
| Monegasque franc (wd:Q1047040)           | Monegasque franc (en)           | 0.152449 (xsd:decimal) |           |                |
| Kiribati dollar (wd:Q1049963)            | Kiribati dollar (en)            | 1 (xsd:decimal)        |           |                |
| Sammarinese lira (wd:Q1063029)           | Sammarinese lira (en)           | 1 (xsd:decimal)        |           |                |
| ...                                      | ...                             | ...                    | ...       | ...            |
| złoty (wd:Q123213)                       | złoty (en)                      | 1800000 (xsd:decimal)  |           |                |
| złoty (wd:Q123213)                       | złoty (en)                      | 0.232 (xsd:decimal)    |           |                |
| złoty (wd:Q123213)                       | złoty (en)                      | 0.227035 (xsd:decimal) |           |                |
| quadrans (wd:Q1249076)                   | quadrans (en)                   | 3 (xsd:decimal)        |           |                |
| quinarius (wd:Q1249084)                  | quinarius (en)                  | 0.5 (xsd:decimal)      |           |                |

[Assistant]
Currencies have multiple price values but no clear indication that these represent exchange rates to USD.

Step 10: Given the complexity and lack of explicit currency and conversion rate data linked to net worth in Wikidata, I will refine the query to:

- Retrieve distinct female individuals with net worth (wdt:P2218).
- Retrieve the net worth amount.
- Retrieve the unit of the net worth if available (using the unit property P2217 if it exists).
- Since conversion rates to USD are not explicitly available, I will omit conversion rate and net worth in USD.
- Filter for net worth amounts at least 1 billion (assuming the unit is USD or equivalent).
- Order by net worth amount descending.

I will check if there is a unit property for net worth (P2217) and include it if available.

I will now check if net worth statements have a unit qualifier (P2217).

[Tool] Got no rows and 2 columns

[Assistant]
No unit qualifiers (P2217) found for net worth statements.

Step 11: Since units and conversion rates are not explicitly available for net worth in Wikidata, I will provide a refined query that retrieves distinct female individuals with net worth amounts at least 1 billion, including the net worth amount, and order by net worth descending. I will also include the label of the individual.

This is the best possible query given the data limitations.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves distinct female individuals with a net worth of at least 1 billion USD and orders them by net worth in descending order. However, it does not address the user's request to include the unit of the net worth, the conversion rate to USD, and the net worth in USD for net worths in other currencies. The current query assumes all net worths are in USD, which is not necessarily accurate. To improve, the query should be extended to retrieve the unit of the net worth, check for conversion rates to USD, and calculate the net worth in USD accordingly. This will ensure the answer includes net worths in other currencies that are equivalent to more than 1 billion USD, as requested by the user.

[Assistant]
The feedback emphasizes the need to include the unit of net worth, conversion rates to USD, and calculate net worth in USD for net worths in other currencies. This requires identifying net worth statements with units (currencies), finding conversion rates to USD, and computing net worth in USD.

Step 1: I will check if net worth statements have units as separate entities or qualifiers. Since direct qualifiers for unit (P2217) were not found, I will check if net worth is sometimes represented as a quantity with unit using the property statement structure.

Step 2: I will query for net worth statements with a value and a unit (using the Wikidata statement structure with ps:P2218 for value and pq:P2217 for unit or similar).

Step 3: I will also check if the unit is a currency entity that has a conversion rate to USD (e.g., using property P2218 or P2284 or other properties).

Step 4: I will then calculate net worth in USD using the conversion rate and filter for net worth in USD >= 1 billion.

I will start by querying for net worth statements with units (qualifier P2217) and retrieve the unit.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.3 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory limitations when trying to retrieve net worth statements with units for female individuals.

Step 5: To reduce memory usage, I will limit the query to only retrieve net worth statements with units (qualifier P2217) without filtering by gender or instance of human first. This will help me understand if such data exists.

I will query for net worth statements with units and retrieve the unit labels.

[Tool] Got no rows and 2 columns

[Assistant]
No net worth statements with unit qualifier (P2217) were found.

Step 6: I will check if net worth statements have currency qualifiers using property P38 (currency) as a qualifier.

I will query for net worth statements with currency qualifier (P38) and retrieve the currency label.

[Tool] Got no rows and 2 columns

[Assistant]
No net worth statements with currency qualifier (P38) were found.

Step 7: Since net worth statements do not have explicit unit or currency qualifiers, I will check if net worth is represented as a quantity with unit using the property statement value structure (psv:P2218) which might be a quantity with unit.

I will query for net worth statements where the value is a quantity with unit and retrieve the unit.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| unit                                    | unitLabel                       |
| --------------------------------------- | ------------------------------- |
| Canadian dollar (wd:Q1104069)           | Canadian dollar (en)            |
| Million Dollar (wd:Q11342877)           | Million Dollar (en)             |
| Swedish krona (wd:Q122922)              | Swedish krona (en)              |
| Spanish maravedí (wd:Q1248202)          | Spanish maravedí (en)           |
| Czech koruna (wd:Q131016)               | Czech koruna (en)               |
| ...                                     | ...                             |
| Argentine convertible peso (wd:Q199578) | Argentine convertible peso (en) |
| Cuban peso (wd:Q201505)                 | Cuban peso (en)                 |
| Finnish markka (wd:Q203354)             | Finnish markka (en)             |
| naira (wd:Q203567)                      | naira (en)                      |
| guilder (wd:Q203607)                    | guilder (en)                    |

[Assistant]
Net worth statements have values with units representing currencies such as Canadian dollar, Swedish krona, etc.

Step 8: I will now construct a query to retrieve distinct female individuals with net worth statements where the value has a unit (currency), retrieve the net worth amount, the unit, and the unit label.

Step 9: I will also try to find the conversion rate of the unit to USD. Since I could not find a direct property for conversion rate, I will check if the unit has a property P2218 (net worth) or P2284 (price) that can be used as conversion rate.

Step 10: I will include the conversion rate if available and calculate net worth in USD.

Step 11: I will filter for net worth in USD >= 1 billion and order by net worth in USD descending.

I will now write the query.

[Tool] Got no rows and 7 columns

[Assistant]
The query returned no results. This might be because the conversion rate property (P2284) is not used for currency units or the conversion rate is not available.

Step 12: I will check if the unit has a property for conversion rate to USD using other properties. I will check if the unit has a property P2218 (net worth) or P2131 (nominal GDP) or other properties that might represent conversion rate.

I will query for properties of currency units to find a suitable property for conversion rate.

[Tool]
Top 10 property alternatives:
1. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as p/wdt): published price listed or paid for a product (use with unit of currency)
2. conversion to standard unit, also known as unit conversion (wd:P2442 as p/wdt): translation of the value of a measurement to different units
3. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as p/wdt): identifier for a currency per ISO 4217
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. wurvoc.org measure ID, also known as wurvoc.org measure, wurvoc.org unit of measure, unit of measure in wurvoc.org, OM 1.8 measure ID, wurvoc.org ID (wd:P3328 as p/wdt/wdtn): concept in the Ontology of units of Measure and related concepts (OM) 1.8 of wurvoc.org
6. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as p/wdt): (main or final) manufacturer or producer of this product
7. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as p/wdt): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
8. central bank/issuer, also known as authority, issuer, issuing authority (wd:P562 as p/wdt): central bank or other issuing authority for the currency
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as p/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses

No other items found

[Assistant]
The property "conversion to standard unit" (wd:P2442) might be used for unit conversion.

Step 13: I will check if currency units have a property P2442 (conversion to standard unit) that can be used as conversion rate to USD.

I will query for currency units with P2442 values.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| unit                                  | unitLabel                  | conversionToStandard      |
| ------------------------------------- | -------------------------- | ------------------------- |
| international mil (wd:Q100039658)     | international mil (en)     | 0.001 (xsd:decimal)       |
| fathom (wd:Q100051890)                | fathom (en)                | 6 (xsd:decimal)           |
| US survey furlong (wd:Q100054009)     | US survey furlong (en)     | 40 (xsd:decimal)          |
| US survey mil (wd:Q100060248)         | US survey mil (en)         | 0.001 (xsd:decimal)       |
| British Imperial foot (wd:Q100064794) | British Imperial foot (en) | 12 (xsd:decimal)          |
| ...                                   | ...                        | ...                       |
| pound (wd:Q100995)                    | pound (en)                 | 0.000453592 (xsd:decimal) |
| pound (wd:Q100995)                    | pound (en)                 | 0.0005 (xsd:decimal)      |
| pound (wd:Q100995)                    | pound (en)                 | 0.00892857 (xsd:decimal)  |
| pound (wd:Q100995)                    | pound (en)                 | 0.01 (xsd:decimal)        |
| pound (wd:Q100995)                    | pound (en)                 | 0.0714286 (xsd:decimal)   |

[Assistant]
The property P2442 (conversion to standard unit) exists for some units, but these seem to be units of length or weight, not currency conversion rates.

Step 14: Given the lack of explicit currency and conversion rate data linked to net worth in Wikidata, I will provide a query that retrieves distinct female individuals with net worth values that have units (currencies), the net worth amount, and the unit label. I will include the net worth amount as is, without conversion.

This query will include net worths in other currencies but will not convert them to USD due to lack of data.

I will now write the final query.

[Tool] Stopped generation process