PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?person ?personLabel ?dateOfDeath ?archiveInstitution ?archiveInstitutionLabel WHERE {
  ?person wdt:P21 wd:Q6581072 .
  ?person wdt:P570 ?dateOfDeath .
  FILTER ( ?dateOfDeath < "1948-01-01T00:00:00Z" ^^ xsd:dateTime ) OPTIONAL {
    ?person wdt:P485 ?archiveInstitution .
    OPTIONAL {
      ?archiveInstitution rdfs:label ?archiveInstitutionLabel FILTER ( lang( ?archiveInstitutionLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( lang( ?personLabel ) = "en" )
  }
  {
    ?person wdt:P19 ?placeOfBirth .
    ?placeOfBirth ( wdt:P131 ) * wd:Q3240 .
  } UNION {
    ?person wdt:P20 ?placeOfDeath .
    ?placeOfDeath ( wdt:P131 ) * wd:Q3240 .
  }
}
LIMIT 100

Got 100 rows and 5 columns, showing the first 5 and last 5 rows below:
| person                                        | personLabel                          | dateOfDeath                         | archiveInstitution | archiveInstitutionLabel |
| --------------------------------------------- | ------------------------------------ | ----------------------------------- | ------------------ | ----------------------- |
| Amelie Talexis (wd:Q102279620)                | Amelie Talexis (en)                  | 1911-01-08T00:00:00Z (xsd:dateTime) |                    |                         |
| Joséphine Umido (wd:Q102334178)               | Joséphine Umido (en)                 | 1943-01-29T00:00:00Z (xsd:dateTime) |                    |                         |
| Charlotte Vauvelle (wd:Q102335084)            | Charlotte Vauvelle (en)              | 1934-05-19T00:00:00Z (xsd:dateTime) |                    |                         |
| Yolande of Anjou (wd:Q10303425)               | Yolande of Anjou (en)                | 1440-07-26T00:00:00Z (xsd:dateTime) |                    |                         |
| Marie Wachanru (wd:Q106827410)                | Marie Wachanru (en)                  | 1853-01-19T00:00:00Z (xsd:dateTime) |                    |                         |
| ...                                           | ...                                  | ...                                 | ...                | ...                     |
| Françoise Rose Somis (wd:Q3086590)            | Françoise Rose Somis (en)            | 1815-01-28T00:00:00Z (xsd:dateTime) |                    |                         |
| Françoise-Marguerite de Sévigné (wd:Q3086647) | Françoise-Marguerite de Sévigné (en) | 1705-08-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Hortense Rolland (wd:Q3140849)                | Hortense Rolland (en)                | 1884-08-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Louise Germain (wd:Q3263749)                  | Louise Germain (en)                  | 1939-10-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Lucie Manvel (wd:Q3265287)                    | Lucie Manvel (en)                    | 1943-11-03T00:00:00Z (xsd:dateTime) |                    |                         |

This query returns distinct female individuals who were either born or died in Bouches-du-Rhône (including all cities and towns within the department), and who died before January 1, 1948. For each, it includes their date of death and, if available, the institution holding their archives.

[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]
Let's break down the question:

1. We need to find female individuals (gender = female).
2. They were either born or died in Bouches-du-Rhône.
3. They died before January 1, 1948.
4. For each, return their date of death and the institution holding their archives (if available).

First, let's identify the relevant entities and properties:
- Bouches-du-Rhône: need to find its Wikidata entity.
- Gender: property for gender, and the entity for female.
- Place of birth and place of death: need properties.
- Date of death: property.
- Institution holding archives: property.

Let's start by searching for "Bouches-du-Rhône" in Wikidata.

[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 main entity for Bouches-du-Rhône is wd:Q3240.

Next, let's identify the properties for:
- Gender
- Place of birth
- Place of death
- Date of death
- Institution holding archives

Let's search for the property "gender" first.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

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

Now, let's search for the entity for "female".

[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 for "female" (for humans) is wd:Q6581072.

Next, let's find the properties for "place of birth" and "place of death".

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject

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

Now, let's search for "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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject

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

Now, let's find the property for "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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 wdt:P570.

Now, let's search for the property "institution holding archives".

[Tool]
Top 10 property alternatives:
1. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): art, museum, archival, or bibliographic collection of which the subject is part, part of
2. 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): institution that holds documentation files about the subject
3. fonds, also known as archival fonds (wd:P12095 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part of an archival collection which an item belongs to
4. archive date, also known as archival date, archivedate, archived in, date archived (wd:P2960 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): date a document was archived
5. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
6. archives at, also known as archive location, correspondence at, papers at (wd:P485 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the institution holding the subject's archives, significant place
7. UK National Archives ID, also known as UKNA ID, NRA ID, TNA ID, TNA, Public Record Office (wd:P3029 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a person, family or organisation, in the UK's National Archives database
8. personal library at, also known as personal library held at, personal library held by, personal library located at (wd:P9419 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): institution holding the subject’s personal library
9. Inventory of Heritage Artefacts institution ID, also known as Brussels Inventory of Heritage Artefacts institution ID, Brussels Inventory of Heritage Artefacts institution identifier, Inventory of Heritage Artefacts institution identifier (wd:P9930 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for an art collecting institution on the Inventory of Heritage Artefacts
10. 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): property or qualifier for an ID property indicating whether linked content is directly readable online, access restriction status, has characteristic

[Assistant]
The property "archives at" (wdt:P485) is the most direct for "institution holding the subject's archives".

Now, let's summarize the properties and entities:
- Bouches-du-Rhône: wd:Q3240
- Gender: wdt:P21, female: wd:Q6581072
- Place of birth: wdt:P19
- Place of death: wdt:P20
- Date of death: wdt:P570
- Institution holding archives: wdt:P485

We want distinct female individuals who were either born or died in Bouches-du-Rhône, and who died before 1948-01-01, with their date of death and (optionally) the institution holding their archives.

Let's construct the SPARQL query step by step.

First, let's get all female individuals who were either born or died in Bouches-du-Rhône, and who died before 1948-01-01, with their date of death and archives institution (if any).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the query returned no results. This could be due to the specificity of the place (Bouches-du-Rhône as a department) and how Wikidata models places of birth/death (often at the city or town level rather than the department).

To address this, let's try to include not only direct matches to Bouches-du-Rhône (wd:Q3240) but also any place of birth or death that is located within Bouches-du-Rhône (using the property "located in the administrative territorial entity", wdt:P131).

Let's first check if there are any places (e.g., cities, towns) that are located in Bouches-du-Rhône, and then use those as possible places of birth or death.

[Tool]
Got 502 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                                                    | object                      |
| ----------------------------------- | ----------------------------------------------------------- | --------------------------- |
| Marseille (wd:Q23482)               | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Aix-en-Provence (wd:Q47465)         | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Arles (wd:Q48292)                   | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Aubagne (wd:Q184047)                | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Istres (wd:Q203759)                 | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Martigues (wd:Q237516)              | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Salon-de-Provence (wd:Q232567)      | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| La Ciotat (wd:Q231554)              | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Saint-Rémy-de-Provence (wd:Q221507) | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| Tarascon (wd:Q234924)               | located in the administrative territorial entity (wdt:P131) | Bouches-du-Rhône (wd:Q3240) |
| ...                                 | ...                                                         | ...                         |

[Assistant]
There are many cities and towns (e.g., Marseille, Aix-en-Provence, Arles, etc.) that are located within Bouches-du-Rhône. To capture all individuals born or died in any of these places, we should include not only direct matches to wd:Q3240 but also any place of birth or death whose "located in the administrative territorial entity" (wdt:P131) is Bouches-du-Rhône.

Let's update the query to include this logic:
- For place of birth or death, match either Bouches-du-Rhône directly or any place located in Bouches-du-Rhône.

We'll use a subquery or VALUES to get all places located in Bouches-du-Rhône, and then match individuals whose place of birth or death is one of these.

Let's try this improved query.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| person                                        | dateOfDeath                         | archiveInstitution |
| --------------------------------------------- | ----------------------------------- | ------------------ |
| Amelie Talexis (wd:Q102279620)                | 1911-01-08T00:00:00Z (xsd:dateTime) |                    |
| Joséphine Umido (wd:Q102334178)               | 1943-01-29T00:00:00Z (xsd:dateTime) |                    |
| Charlotte Vauvelle (wd:Q102335084)            | 1934-05-19T00:00:00Z (xsd:dateTime) |                    |
| Yolande of Anjou (wd:Q10303425)               | 1440-07-26T00:00:00Z (xsd:dateTime) |                    |
| Marie Wachanru (wd:Q106827410)                | 1853-01-19T00:00:00Z (xsd:dateTime) |                    |
| ...                                           | ...                                 | ...                |
| Françoise Rose Somis (wd:Q3086590)            | 1815-01-28T00:00:00Z (xsd:dateTime) |                    |
| Françoise-Marguerite de Sévigné (wd:Q3086647) | 1705-08-13T00:00:00Z (xsd:dateTime) |                    |
| Hortense Rolland (wd:Q3140849)                | 1884-08-13T00:00:00Z (xsd:dateTime) |                    |
| Louise Germain (wd:Q3263749)                  | 1939-10-13T00:00:00Z (xsd:dateTime) |                    |
| Lucie Manvel (wd:Q3265287)                    | 1943-11-03T00:00:00Z (xsd:dateTime) |                    |

[Tool]
Got 100 rows and 5 columns, showing the first 5 and last 5 rows below:
| person                                        | personLabel                          | dateOfDeath                         | archiveInstitution | archiveInstitutionLabel |
| --------------------------------------------- | ------------------------------------ | ----------------------------------- | ------------------ | ----------------------- |
| Amelie Talexis (wd:Q102279620)                | Amelie Talexis (en)                  | 1911-01-08T00:00:00Z (xsd:dateTime) |                    |                         |
| Joséphine Umido (wd:Q102334178)               | Joséphine Umido (en)                 | 1943-01-29T00:00:00Z (xsd:dateTime) |                    |                         |
| Charlotte Vauvelle (wd:Q102335084)            | Charlotte Vauvelle (en)              | 1934-05-19T00:00:00Z (xsd:dateTime) |                    |                         |
| Yolande of Anjou (wd:Q10303425)               | Yolande of Anjou (en)                | 1440-07-26T00:00:00Z (xsd:dateTime) |                    |                         |
| Marie Wachanru (wd:Q106827410)                | Marie Wachanru (en)                  | 1853-01-19T00:00:00Z (xsd:dateTime) |                    |                         |
| ...                                           | ...                                  | ...                                 | ...                | ...                     |
| Françoise Rose Somis (wd:Q3086590)            | Françoise Rose Somis (en)            | 1815-01-28T00:00:00Z (xsd:dateTime) |                    |                         |
| Françoise-Marguerite de Sévigné (wd:Q3086647) | Françoise-Marguerite de Sévigné (en) | 1705-08-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Hortense Rolland (wd:Q3140849)                | Hortense Rolland (en)                | 1884-08-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Louise Germain (wd:Q3263749)                  | Louise Germain (en)                  | 1939-10-13T00:00:00Z (xsd:dateTime) |                    |                         |
| Lucie Manvel (wd:Q3265287)                    | Lucie Manvel (en)                    | 1943-11-03T00:00:00Z (xsd:dateTime) |                    |                         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly implements the requirements: it selects distinct female individuals (wd:Q6581072) who were either born (wdt:P19) or died (wdt:P20) in Bouches-du-Rhône (wd:Q3240, including sublocations via (wdt:P131)*), and who died before January 1, 1948 (wdt:P570 with appropriate FILTER). It includes the date of death and, if available, the institution holding their archives (wdt:P485), with labels provided optionally. The query returns IRIs as required and does not use unsupported label services. The output matches the user's request and follows all SPARQL guidelines provided.


SELECT ?person ?personLabel ?amount ?currencyUsed AS ?currency ?currencyLabel ?exchangeRate ?netWorthUSD WHERE {
  {
    SELECT ?person ?netWorthStatement ?amount ?currencyUsed ?exchangeRate ?netWorthUSD WHERE {
      ?person wdt:P31 wd:Q5;
              wdt:P21 wd:Q6581072;
              p:P2218 ?netWorthStatement.
      ?netWorthStatement ps:P2218 ?amount.
      OPTIONAL {
        ?netWorthStatement psn:P2218 ?netWorthNode.
        ?netWorthNode wikibase:quantityUnit ?currency.
      }
      BIND(COALESCE(?currency, wd:Q4917) AS ?currencyUsed)
      OPTIONAL {
        ?currencyUsed p:P2284 ?exchangeStatement.
        ?exchangeStatement ps:P2284 ?exchangeRate.
        ?exchangeStatement pq:P2283 wd:Q4917.
      }
      BIND(IF(?currencyUsed = wd:Q4917, 1, ?exchangeRate) AS ?rateToUSD)
      BIND(xsd:decimal(?amount) * xsd:decimal(?rateToUSD) AS ?netWorthUSD)
    }
  }
  {
    SELECT ?person (MAX(?netWorthUSD) AS ?maxNetWorthUSD) WHERE {
      ?person wdt:P31 wd:Q5;
              wdt:P21 wd:Q6581072;
              p:P2218/ps:P2218 ?amount.
      OPTIONAL {
        ?person p:P2218/psn:P2218/wikibase:quantityUnit ?currency.
        OPTIONAL {
          ?currency p:P2284 ?exchangeStatement.
          ?exchangeStatement ps:P2284 ?exchangeRate.
          ?exchangeStatement pq:P2283 wd:Q4917.
        }
        BIND(IF(?currency = wd:Q4917, 1, ?exchangeRate) AS ?rateToUSD)
      }
      BIND(COALESCE(?currency, wd:Q4917) AS ?currencyUsed)
      BIND(IF(BOUND(?rateToUSD), xsd:decimal(?amount) * xsd:decimal(?rateToUSD), xsd:decimal(?amount)) AS ?netWorthUSD)
    }
    GROUP BY ?person
  }
  FILTER(?netWorthUSD = ?maxNetWorthUSD)
  FILTER(?netWorthUSD >= 1000000000)
  OPTIONAL {
    ?currencyUsed rdfs:label ?currencyLabel FILTER (LANG(?currencyLabel) = "en")
  }
  BIND(IF(BOUND(?currencyLabel), ?currencyLabel, "United States dollar") AS ?currencyLabel)
  OPTIONAL { ?person rdfs:label ?personLabel FILTER (LANG(?personLabel) = "en") }
}
ORDER BY DESC(?netWorthUSD)
LIMIT 50

This query returns, for each distinct female individual, only the highest net worth statement (in USD equivalent), including the original amount, currency, currency label, exchange rate to USD (if available), and the net worth in USD. The currency is explicitly set to USD if missing, and the label is provided. Only individuals with a net worth of at least 1 billion USD (or equivalent) are included, and the results are ordered by net worth in USD descending.

[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]
Let's break down the question:

1. We are looking for female individuals (humans, gender: female).
2. Their net worth (property) must be at least 1 billion USD, or equivalent in other currencies (so we need to convert).
3. We need to include:
   - The individual's IRI
   - Their net worth amount
   - The unit of the net worth
   - The conversion rate to USD
   - The net worth in USD
4. Results should be ordered by net worth in USD, descending.

First, let's identify:
- The property for "net worth"
- The property for "gender"
- The entity for "female"
- The property for "net worth currency"
- The property for "conversion rate to USD"

Let's start by searching for the property "net worth".

[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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): estimated value of a house, company, patent, etc
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. prize money, also known as money, purse, value (wd:P2121 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): amount in a specific currency
7. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): value of assets held by a private or public entity
10. box office, also known as earnings (wd:P2142 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): box office takings accumulated by a film, total revenue

[Assistant]
The property for "net worth" is wd:P2218.

Next, let's identify the property for "gender" and the entity for "female".

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[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 property for "sex or gender" is wd:P21, and the entity for "female" (for humans) is wd:Q6581072.

Next, let's check the structure of the "net worth" property (wd:P2218) to see how currency and amount are represented, and if there's a qualifier for currency and 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)       |
| ...                          | ...                   | ...                        |

[Tool]
Got 1 row and 3 columns:
| subject               | property              | object                    |
| --------------------- | --------------------- | ------------------------- |
| Bill Gates (wd:Q5284) | net worth (wdt:P2218) | 89800000000 (xsd:decimal) |

[Tool]
Got 4 rows and 3 columns:
| subject               | property            | object                                       |
| --------------------- | ------------------- | -------------------------------------------- |
| Bill Gates (wd:Q5284) | net worth (p:P2218) | s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 |
| Bill Gates (wd:Q5284) | net worth (p:P2218) | s:Q5284-4e5c1172-4c31-17cf-552a-a55ab73cba9f |
| Bill Gates (wd:Q5284) | net worth (p:P2218) | s:Q5284-bf9526de-49c1-f36f-1ea3-ff036db774ca |
| Bill Gates (wd:Q5284) | net worth (p:P2218) | s:Q5284-D69DD3FC-2156-4D08-8417-F24B1C260A63 |

[Tool]
Got 8 rows and 3 columns:
| subject                                      | property                 | object                                       |
| -------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | point in time (pq:P585)  | 2017-07-27T00:00:00Z (xsd:dateTime)          |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | net worth (ps:P2218)     | 89800000000 (xsd:decimal)                    |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | wikibase:rank            | wikibase:PreferredRank                       |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | rdf:type                 | wikibase:BestRank                            |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | prov:wasDerivedFrom      | ref:e8878db3cc6ae802d05d9fbe02ce0117e6a06799 |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | point in time (pqv:P585) | v:ef080627e3885c6bfae7654b423117b7           |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | net worth (psv:P2218)    | v:cb52e362c1d577c2eaadb13107822f8b           |
| s:Q5284-1ab6a04d-478b-7ec5-17b0-ec4f4678ff75 | rdf:type                 | wikibase:Statement                           |

[Tool]
Got 3 rows and 3 columns:
| subject                            | property                | object                          |
| ---------------------------------- | ----------------------- | ------------------------------- |
| v:cb52e362c1d577c2eaadb13107822f8b | wikibase:quantityUnit   | United States dollar (wd:Q4917) |
| v:cb52e362c1d577c2eaadb13107822f8b | wikibase:quantityAmount | 89800000000 (xsd:decimal)       |
| v:cb52e362c1d577c2eaadb13107822f8b | rdf:type                | wikibase:QuantityValue          |

[Tool]
Top 10 property alternatives:
1. consumption rate, also known as consumption, rate of consumption (wd:P2292 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): rate at which a product is consumed
2. throughput, also known as capacity, rate (wd:P2957 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): volume of units that do or can pass through or be transported by the object
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): published price listed or paid for a product (use with unit of currency)
4. data transfer speed, also known as transfer speed, transfer rate, throughput, data transfer rate, data rate (wd:P6711 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): transfer speed through a bus or a communication medium, throughput
5. conversion to standard unit, also known as unit conversion (wd:P2442 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): translation of the value of a measurement to different units
6. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
7. currency, also known as base currency, used money (wd:P38 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): currency used by item, uses
8. VAT rate, also known as goods and services tax rate, GST, sales tax, taxation rate for sales, tax rate for sales (wd:P2855 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): percentage value-added tax in this country or region. Do not use for sales tax. For specialised rates, use qualifiers
9. source of income, also known as income source, revenue source, source of revenue (wd:P2770 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): source of income of an organization or person
10. interest rate (wd:P5899 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the yearly interest rate

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): amount in a specific currency
5. cash (wd:P2232 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): numerical value of a number, a mathematical constant, or a physical constant

[Tool]
Top 10 property alternatives:
1. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as wdt/p): published price listed or paid for a product (use with unit of currency)
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as wdt/p): identifier for a currency per ISO 4217
3. currency symbol description (wd:P489 as wdt/p): item with description of currency symbol, notation
4. central bank/issuer, also known as authority, issuer, issuing authority (wd:P562 as wdt/p): central bank or other issuing authority for the currency
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. 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 wdt/p): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
8. unit symbol (wd:P5061 as wdt/p): abbreviation of a unit for each language; if not provided, then it should default to English
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Tool]
Top 10 entity alternatives:
1. exchange rate, also known as foreign currency transactions, foreign-exchange rate, forex rate, FX rate (wd:Q66100): rate at which one currency will be exchanged for another
2. Exchange Rate (wd:Q102242562): Thoroughbred racehorse
3. Exchange Rate (wd:Q62122935): episode of NCIS: Los Angeles (S7 E18)
4. exchange rate (wd:L1358962-S3)
5. price, also known as cost, value, purchase price, published price, MSRP (wd:P2284): published price listed or paid for a product (use with unit of currency)
6. fixed exchange rate, also known as pegged exchange rate, exchange rate peg, currency peg, pegged currency (wd:Q66143): type of exchange rate regime where a currency's value is fixed against the value of another single currency
7. floating exchange rate (wd:Q594063): regime in which a currency's value is set by market
8. foreign exchange risk, also known as currency risk, FX risk, exchange rate risk (wd:Q1542397): a financial risk that exists when a financial transaction is denominated in a currency other than the domestic currency
9. exchange-rate regime, also known as exchange rate regime (wd:Q11337203): monetary policy relating to currency exchange rates
10. exchange rate policy, also known as exchange policy (wd:Q1363350): measures which influence currency (especially in exchange rates)

[Tool]
Top 10 property alternatives:
1. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): member of a dataset; type of statistical designation
2. room number, also known as apartment, room identifier, suite, unit (wd:P7532 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number or identifier of a room, which can qualify the address (P6375) of a place to complete it
3. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
4. military unit, also known as member of military unit, unit (wd:P7779 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): smallest military unit that a person is/was in, member of
5. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
6. size designation, also known as military unit size designation, unit size (wd:P8030 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organizational size classification or designation used to indica...of an entity within an organization (property under development)
7. capital cost, also known as budget, cost, unit cost (wd:P2130 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): amount of money spent on building or producing an object
8. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
9. Integrated Postsecondary Education Data System ID, also known as Integrated Postsecondary Education Data System identifier, IPEDS ID, Unit ID, UnitID (wd:P1771 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for colleges and universities in the United States
10. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)

[Tool] Got no rows and 3 columns

[Assistant]
From the previous steps, here's what we've learned:
- Net worth is stored as a quantity (amount + unit), with the unit being a currency (e.g., USD).
- There is no direct property for "conversion rate to USD" in Wikidata, so we need to get the currency unit and, if not USD, we must try to find the exchange rate or at least return the currency so the conversion can be done externally.
- We need to filter for female humans (wd:Q6581072 for female, wd:Q5 for human).

Let's try to construct a query that:
- Finds humans (wd:Q5) who are female (wd:Q6581072)
- Have a net worth (wd:P2218) with an amount and a unit (currency)
- Returns the person, net worth amount, unit (currency), and, if possible, the net worth in USD (if the currency is USD, it's direct; otherwise, we return the currency and amount for possible external conversion)
- Orders by net worth amount (for USD) descending

Since Wikidata does not store up-to-date exchange rates, we will provide the currency and amount for non-USD net worths, and only compute the USD value for USD net worths.

Let's write a query that gets:
- ?person
- ?amount
- ?currency
- ?currencyLabel (optional)
- ?netWorthUSD (if currency is USD, else null)

Let's also include DISTINCT and order by net worth descending.

Here is the SPARQL query:

[Tool] Got no rows and 5 columns

[Assistant]
It appears that the query returned no results. This could be due to the way the net worth property is structured, or perhaps the filter on the amount is not matching the data structure (e.g., the amount may not be directly filterable in this way, or the currency unit is not always present).

Let's try a simpler approach first: retrieve all female humans with a net worth, along with the amount and currency, and inspect the results. This will help us understand the data structure better and adjust the query accordingly.

[Tool] Got no rows and 3 columns

[Assistant]
The query still returns no results, which suggests that either:
- The net worth property for female humans is not structured with a currency unit in the expected way, or
- The data for female billionaires is not present or not structured as expected in Wikidata.

Let's try to relax the query further by just retrieving female humans with any net worth value, without requiring the currency unit, and see if we get any results.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                                     | amount                    |
| ------------------------------------------ | ------------------------- |
| Kwong Siu-hing (wd:Q1012622)               | 15100000000 (xsd:decimal) |
| MacKenzie Scott (wd:Q10322797)             | 59400000000 (xsd:decimal) |
| Mayra Pinheiro (wd:Q104490407)             | 860 (xsd:decimal)         |
| Zhong Huijuan (wd:Q105338400)              | 14600000000 (xsd:decimal) |
| Valeria Haščáková (wd:Q107499300)          | 1340000000 (xsd:decimal)  |
| ...                                        | ...                       |
| Lisa Onu (wd:Q113328610)                   | 350000 (xsd:decimal)      |
| Racheal Okonkwo (wd:Q113335783)            | 450000 (xsd:decimal)      |
| Nkiru Umeh (wd:Q113345383)                 | 1000000 (xsd:decimal)     |
| Traudl Engelhorn-Vechiatto (wd:Q113486718) | 4200000000 (xsd:decimal)  |
| Jiřina Ulčáková (wd:Q114359170)            | 4400000000 (xsd:decimal)  |

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                                    | amount                    |
| ----------------------------------------- | ------------------------- |
| Françoise Bettencourt Meyers (wd:Q516720) | 74800000000 (xsd:decimal) |
| MacKenzie Scott (wd:Q10322797)            | 59400000000 (xsd:decimal) |
| Françoise Bettencourt Meyers (wd:Q516720) | 54100000000 (xsd:decimal) |
| Françoise Bettencourt Meyers (wd:Q516720) | 49300000000 (xsd:decimal) |
| Alice Walton (wd:Q289571)                 | 44400000000 (xsd:decimal) |
| ...                                       | ...                       |
| Renáta Kellnerová (wd:Q19602629)          | 16800800000 (xsd:decimal) |
| Anne Cox Chambers (wd:Q463381)            | 16100000000 (xsd:decimal) |
| Abigail Johnson (wd:Q321125)              | 15600000000 (xsd:decimal) |
| Iris Fontbona (wd:Q19518169)              | 15400000000 (xsd:decimal) |
| Gina Rinehart (wd:Q242982)                | 15200000000 (xsd:decimal) |

[Tool]
Got 5 rows and 3 columns:
| person                                    | amount                    | netWorthStatement                                |
| ----------------------------------------- | ------------------------- | ------------------------------------------------ |
| Françoise Bettencourt Meyers (wd:Q516720) | 74800000000 (xsd:decimal) | s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f   |
| MacKenzie Scott (wd:Q10322797)            | 59400000000 (xsd:decimal) | s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 |
| Françoise Bettencourt Meyers (wd:Q516720) | 54100000000 (xsd:decimal) | s:Q516720-6a6b4af3-40d9-7c3c-ae7c-3c3c087f908a   |
| Françoise Bettencourt Meyers (wd:Q516720) | 49300000000 (xsd:decimal) | s:Q516720-79A7D8FC-8E27-4B01-A8D1-640D063F80B6   |
| Alice Walton (wd:Q289571)                 | 44400000000 (xsd:decimal) | s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52   |

[Tool]
Got 8 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | point in time (pq:P585)  | 2022-03-11T00:00:00Z (xsd:dateTime)          |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | net worth (ps:P2218)     | 74800000000 (xsd:decimal)                    |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | wikibase:rank            | wikibase:PreferredRank                       |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | rdf:type                 | wikibase:BestRank                            |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | prov:wasDerivedFrom      | ref:c7f6580f57949bd23d4dbad58accac927d18162b |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | point in time (pqv:P585) | v:725e349b012e1fefbe5a3efc1d4f9a36           |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | net worth (psv:P2218)    | v:259677afc73e51e0bae92d6261d83124           |
| s:Q516720-150082df-4a8e-cd76-39c2-a41c534da36f | rdf:type                 | wikibase:Statement                           |

[Tool]
Got 3 rows and 3 columns:
| subject                            | property                | object                          |
| ---------------------------------- | ----------------------- | ------------------------------- |
| v:259677afc73e51e0bae92d6261d83124 | wikibase:quantityUnit   | United States dollar (wd:Q4917) |
| v:259677afc73e51e0bae92d6261d83124 | wikibase:quantityAmount | 74800000000 (xsd:decimal)       |
| v:259677afc73e51e0bae92d6261d83124 | rdf:type                | wikibase:QuantityValue          |

[Tool]
Got 8 rows and 3 columns:
| subject                                          | property                 | object                                       |
| ------------------------------------------------ | ------------------------ | -------------------------------------------- |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | point in time (pq:P585)  | 2021-04-09T00:00:00Z (xsd:dateTime)          |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | net worth (ps:P2218)     | 59400000000 (xsd:decimal)                    |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | wikibase:rank            | wikibase:NormalRank                          |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | rdf:type                 | wikibase:BestRank                            |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | prov:wasDerivedFrom      | ref:240540cfadea00398c98fc6d9d63d03aa43448cc |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | point in time (pqv:P585) | v:5382bcd3b178a74f4152e1861a2ea938           |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | net worth (psv:P2218)    | v:98356fe408da2f50d6cef2865d0a322c           |
| s:Q10322797-f45b4ebd-45c9-2cab-9aeb-9364ab59cb24 | rdf:type                 | wikibase:Statement                           |

[Tool]
Got 3 rows and 3 columns:
| subject                            | property                | object                          |
| ---------------------------------- | ----------------------- | ------------------------------- |
| v:98356fe408da2f50d6cef2865d0a322c | wikibase:quantityUnit   | United States dollar (wd:Q4917) |
| v:98356fe408da2f50d6cef2865d0a322c | wikibase:quantityAmount | 59400000000 (xsd:decimal)       |
| v:98356fe408da2f50d6cef2865d0a322c | rdf:type                | wikibase:QuantityValue          |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                          | object                                       |
| ---------------------------------------------- | --------------------------------- | -------------------------------------------- |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | point in time (pq:P585)           | 2019-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | net worth (ps:P2218)              | 44400000000 (xsd:decimal)                    |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | sourcing circumstances (pq:P1480) | wd:Q37113960                                 |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | wikibase:rank                     | wikibase:NormalRank                          |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | rdf:type                          | wikibase:BestRank                            |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | prov:wasDerivedFrom               | ref:ae93e6cc7adf7fdfa1487d2ae83cf217dbc404b1 |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | point in time (pqv:P585)          | v:13e0c2f55f56423d7f87461b3e9cf492           |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | net worth (psv:P2218)             | v:40bb71bdce1d5b3fa9fda14b2754a3ff           |
| s:Q289571-2804FB15-83A5-4556-B302-5D98481B9D52 | rdf:type                          | wikibase:Statement                           |

[Tool]
Got 3 rows and 3 columns:
| subject                            | property                | object                          |
| ---------------------------------- | ----------------------- | ------------------------------- |
| v:40bb71bdce1d5b3fa9fda14b2754a3ff | wikibase:quantityUnit   | United States dollar (wd:Q4917) |
| v:40bb71bdce1d5b3fa9fda14b2754a3ff | wikibase:quantityAmount | 44400000000 (xsd:decimal)       |
| v:40bb71bdce1d5b3fa9fda14b2754a3ff | rdf:type                | wikibase:QuantityValue          |

[Tool] Got no rows and 4 columns

[Assistant]
It appears that, for the top female billionaires, the net worth values are stored with the unit "United States dollar" (wd:Q4917), but the triple structure with the explicit currency unit is not always present in the data. However, from our earlier exploration, the amounts for these individuals are in USD.

Therefore, I will construct a query that:
- Selects distinct female humans with net worth at least 1 billion (assuming USD if no currency is specified, as per the data structure for these top entries)
- Returns the person, amount, and (where available) the currency unit
- Orders by amount descending

This will provide the list of female billionaires, their net worth, and the currency (which, for these, is USD).

Here is the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is a good start but needs refinement to fully answer the user's requirements. Specifically:

1. The query does not deduplicate individuals with multiple net worth statements (e.g., Françoise Bettencourt Meyers appears multiple times). The result should be distinct by individual, showing only their highest net worth.
2. The query does not include the conversion rate to USD or the net worth in USD for non-USD currencies, as requested. While Wikidata may not have up-to-date exchange rates, the query should attempt to retrieve the unit and any available conversion rate (e.g., via P498 for currency and P2284 for exchange rate), and calculate the USD value if possible.
3. The query should include all net worths in other currencies that are equivalent to more than 1 billion USD, not just those with an amount >= 1 billion in their own currency.
4. The query should order by net worth in USD, not just the raw amount, to ensure correct ranking across currencies.

Please refine the query to address these points as much as possible given Wikidata's data model.

[Assistant]
Thank you for the feedback. Let's address each point step by step:

### 1. Deduplicate by Individual, Show Only Highest Net Worth
We need to group by individual and select only their highest net worth statement.

### 2. Include Conversion Rate to USD and Net Worth in USD
- For net worths in USD, the conversion rate is 1.
- For other currencies, we should try to find the exchange rate to USD (property P2284, "price", used with currency entities).
- If an exchange rate is available, calculate the net worth in USD.

### 3. Include All Net Worths Equivalent to >1 Billion USD
- For non-USD currencies, include if (amount * exchange rate to USD) >= 1,000,000,000.

### 4. Order by Net Worth in USD
- Use the calculated USD value for ordering.

#### Data Model Notes
- Net worth statements may or may not have explicit currency units.
- Exchange rates may not be up-to-date or always available, but we should attempt to retrieve them.

#### Approach
- For each female human with a net worth statement:
  - Get all net worth statements with amount and currency.
  - For each, try to get the exchange rate to USD (if not USD).
  - Calculate the net worth in USD.
  - For each person, select the statement with the highest net worth in USD.
  - Filter for net worth in USD >= 1 billion.
  - Return: person, amount, currency, exchange rate, net worth in USD.
  - Order by net worth in USD descending.

Let's build the query step by step.

#### Step 1: Find all female humans with net worth statements, their amount, and currency.
#### Step 2: For each currency, try to get the exchange rate to USD.
#### Step 3: Calculate net worth in USD.
#### Step 4: For each person, select the highest net worth in USD.
#### Step 5: Filter for net worth in USD >= 1 billion.
#### Step 6: Order by net worth in USD descending.

Let's write the refined SPARQL query:

```sparql
SELECT ?person (MAX(?netWorthUSD) AS ?maxNetWorthUSD) ?amount ?currency ?currencyLabel ?exchangeRate ?personLabel
WHERE {
  # Female human
  ?person wdt:P31 wd:Q5;
          wdt:P21 wd:Q6581072.
  # Net worth statement
  ?person p:P2218 ?netWorthStatement.
  ?netWorthStatement ps:P2218 ?amount.
  # Get currency unit if available
  OPTIONAL {
    ?netWorthStatement psn:P2218 ?netWorthNode.
    ?netWorthNode wikibase:quantityUnit ?currency.
    OPTIONAL { ?currency rdfs:label ?currencyLabel FILTER (LANG(?currencyLabel) = "en") }
  }
  # If no currency, assume USD
  BIND(COALESCE(?currency, wd:Q4917) AS ?currencyUsed)
  # Try to get exchange rate to USD (P2284, price, with object USD)
  OPTIONAL {
    ?currencyUsed p:P2284 ?exchangeStatement.
    ?exchangeStatement ps:P2284 ?exchangeRate.
    ?exchangeStatement pq:P2283 wd:Q4917. # target currency is USD
  }
  # If currency is USD, exchange rate is 1
  BIND(IF(?currencyUsed = wd:Q4917, 1, ?exchangeRate) AS ?rateToUSD)
  # Calculate net worth in USD
  BIND(xsd:decimal(?amount) * xsd:decimal(?rateToUSD) AS ?netWorthUSD)
  # Only keep if net worth in USD >= 1 billion
  FILTER(?netWorthUSD >= 1000000000)
  # Get person label
  OPTIONAL { ?person rdfs:label ?personLabel FILTER (LANG(?personLabel) = "en") }
}
GROUP BY ?person ?amount ?currency ?currencyLabel ?exchangeRate ?personLabel
ORDER BY DESC(?maxNetWorthUSD)
LIMIT 50
```

This query:
- Groups by person and selects the highest net worth in USD per person.
- Attempts to retrieve the exchange rate to USD for non-USD currencies.
- Calculates the net worth in USD.
- Filters for net worth in USD >= 1 billion.
- Orders by net worth in USD descending.

Let's submit this as the refined answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns relevant results, but there are some issues that need refinement:

1. The query returns multiple rows for the same person if they have multiple net worth statements. The use of GROUP BY and MAX(?netWorthUSD) is not sufficient to ensure only the highest net worth per person is shown, as the other columns (amount, currency, etc.) are not aggregated and may not correspond to the row with the maximum net worth.
2. The query assumes that if no currency is present, the net worth is in USD. This is a reasonable fallback, but it should be made explicit in the output (e.g., set currency to USD if missing).
3. The query does not always provide the correct exchange rate or currency label for the maximum net worth per person, due to the grouping issue above.

Suggested improvements:
- Use a subquery to first compute the net worth in USD for each net worth statement, then select the statement with the maximum net worth in USD per person, and finally return the associated amount, currency, exchange rate, etc. for that statement.
- Ensure that the currency and exchange rate correspond to the maximum net worth statement for each person.
- Explicitly set the currency to USD when missing, and provide the appropriate label.

With these refinements, the query will more accurately fulfill the user's requirements.

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

1. **Deduplication and Correct Aggregation:**
   We'll use a subquery to calculate the net worth in USD for each net worth statement, then select the statement with the maximum net worth in USD per person. This ensures all returned columns (amount, currency, exchange rate, etc.) correspond to the highest net worth statement.

2. **Explicit Currency Fallback:**
   We'll explicitly set the currency to USD (wd:Q4917) and the label to "United States dollar" when missing.

3. **Correct Exchange Rate and Label:**
   By selecting the maximum net worth statement per person, all associated fields will be correct.

Here is the refined query:

```sparql
SELECT ?person ?personLabel ?amount ?currencyUsed AS ?currency ?currencyLabel ?exchangeRate ?netWorthUSD WHERE {
  {
    SELECT ?person ?netWorthStatement ?amount ?currencyUsed ?exchangeRate ?netWorthUSD WHERE {
      ?person wdt:P31 wd:Q5;
              wdt:P21 wd:Q6581072;
              p:P2218 ?netWorthStatement.
      ?netWorthStatement ps:P2218 ?amount.
      OPTIONAL {
        ?netWorthStatement psn:P2218 ?netWorthNode.
        ?netWorthNode wikibase:quantityUnit ?currency.
      }
      BIND(COALESCE(?currency, wd:Q4917) AS ?currencyUsed)
      # Try to get exchange rate to USD
      OPTIONAL {
        ?currencyUsed p:P2284 ?exchangeStatement.
        ?exchangeStatement ps:P2284 ?exchangeRate.
        ?exchangeStatement pq:P2283 wd:Q4917.
      }
      BIND(IF(?currencyUsed = wd:Q4917, 1, ?exchangeRate) AS ?rateToUSD)
      BIND(xsd:decimal(?amount) * xsd:decimal(?rateToUSD) AS ?netWorthUSD)
    }
  }
  # For each person, select the statement with the maximum net worth in USD
  {
    SELECT ?person (MAX(?netWorthUSD) AS ?maxNetWorthUSD) WHERE {
      ?person wdt:P31 wd:Q5;
              wdt:P21 wd:Q6581072;
              p:P2218/ps:P2218 ?amount.
      OPTIONAL {
        ?person p:P2218/psn:P2218/wikibase:quantityUnit ?currency.
        OPTIONAL {
          ?currency p:P2284 ?exchangeStatement.
          ?exchangeStatement ps:P2284 ?exchangeRate.
          ?exchangeStatement pq:P2283 wd:Q4917.
        }
        BIND(IF(?currency = wd:Q4917, 1, ?exchangeRate) AS ?rateToUSD)
      }
      BIND(COALESCE(?currency, wd:Q4917) AS ?currencyUsed)
      BIND(IF(BOUND(?rateToUSD), xsd:decimal(?amount) * xsd:decimal(?rateToUSD), xsd:decimal(?amount)) AS ?netWorthUSD)
    }
    GROUP BY ?person
  }
  # Join only the maximum net worth statement per person
  FILTER(?netWorthUSD = ?maxNetWorthUSD)
  # Only keep if net worth in USD >= 1 billion
  FILTER(?netWorthUSD >= 1000000000)
  # Currency label
  OPTIONAL {
    ?currencyUsed rdfs:label ?currencyLabel FILTER (LANG(?currencyLabel) = "en")
  }
  # Fallback for currency label if missing
  BIND(IF(BOUND(?currencyLabel), ?currencyLabel, "United States dollar") AS ?currencyLabel)
  # Person label
  OPTIONAL { ?person rdfs:label ?personLabel FILTER (LANG(?personLabel) = "en") }
}
ORDER BY DESC(?netWorthUSD)
LIMIT 50
```

**Explanation:**
- The inner subquery computes the net worth in USD for each net worth statement.
- The second subquery finds the maximum net worth in USD per person.
- The outer query joins these, ensuring all fields correspond to the maximum statement.
- Currency and label are set explicitly if missing.
- Only individuals with net worth in USD >= 1 billion are included.
- Results are ordered by net worth in USD descending.

Let's submit this as the refined answer.

[Tool] Stopped generation process