PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?cousin1 ?cousin2 ?father1 ?father2 ?mother1 ?mother2 WHERE {
  ?cousin1 wdt:P22 ?father1 ; wdt:P25 ?mother1 .
  ?cousin2 wdt:P22 ?father2 ; wdt:P25 ?mother2 .
  FILTER ( ?cousin1 != ?cousin2 ) ?father1 wdt:P3373 ?father2 .
  ?father1 wdt:P21 wd:Q6581097 .
  ?father2 wdt:P21 wd:Q6581097 .
  ?mother1 wdt:P3373 ?mother2 .
  ?mother1 wdt:P21 wd:Q6581072 .
  ?mother2 wdt:P21 wd:Q6581072 .
  FILTER ( ?father1 != ?father2 ) FILTER ( ?mother1 != ?mother2 ) FILTER ( ?father1 != ?mother1 && ?father1 != ?mother2 && ?father2 != ?mother1 && ?father2 != ?mother2 ) FILTER ( ?father1 != ?mother1 && ?father2 != ?mother2 ) FILTER NOT EXISTS {
    ?cousin1 wdt:P3373 ?cousin2
  }
  FILTER NOT EXISTS {
    ?father1 wdt:P22 | wdt:P25 ?grandparent .
    ?father2 wdt:P22 | wdt:P25 ?grandparent .
    FILTER ( ?grandparent != wd:Q5 )
  }
  FILTER NOT EXISTS {
    ?mother1 wdt:P22 | wdt:P25 ?grandparent2 .
    ?mother2 wdt:P22 | wdt:P25 ?grandparent2 .
    FILTER ( ?grandparent2 != wd:Q5 )
  }
}
LIMIT 50

The query returns pairs of humans who are double first cousins (their fathers are brothers and their mothers are sisters), and who do not share a parent or grandparent. The result includes the item IDs for each cousin and their respective fathers and mothers.

[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

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 humans that are double first cousins, where their fathers are brothers and their mothers are sisters? Please avoid instances where the people were half siblings (i.e. shared a parent) or where they were more related in another way (i.e. shared a grandparent). Provide the item IDs of these individuals and their respective fathers and mothers.

[Assistant]
Let's break down the requirements:

1. **Double first cousins**: Two people are double first cousins if their fathers are brothers and their mothers are sisters.
2. **Fathers are brothers**: The fathers of the two people must be siblings (specifically, brothers).
3. **Mothers are sisters**: The mothers of the two people must be siblings (specifically, sisters).
4. **Avoid half siblings**: The two people must not share a parent.
5. **Avoid more relatedness**: The two people must not share a grandparent (i.e., their parents are not siblings to each other, and the two people are not related in any other way).

Step-by-step approach:

- First, identify all pairs of humans whose fathers are brothers and whose mothers are sisters.
- Ensure that the two people are not siblings (do not share a parent).
- Ensure that the two people do not share a grandparent.

Let's start by searching for the relevant properties:

- "father": Let's confirm the property for father.
- "mother": Let's confirm the property for mother.
- "sibling": Let's confirm the property for sibling.
- "brother": Let's confirm the property for brother.
- "sister": Let's confirm the property for sister.

I'll search for these properties to get their IDs.

[Tool]
Top 10 property alternatives:
1. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. parent, also known as guardian, parents (wd:P8810 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
4. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
5. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
6. Dictionary of Algorithms and Data Structures ID, also known as DADS ID (wd:P5106 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an entry in the Dictionary of Algorithms and Data Structures
7. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has the object as their stepparent, relative
8. godparent, also known as godfather, godmother (wd:P1290 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person who is the godparent of a given person, relative
9. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
10. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

[Tool]
Top 10 property alternatives:
1. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. ASF KID Cave Tag Number, also known as Australian Speleological Federation KID, KID, Karst Index Database (wd:P2792 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unique identifier for caves within the Karst Index Database of the Australian Speleological Federation
6. Kunstindeks Danmark Artist ID, also known as KID, KID artist ID, KID ID (wd:P1138 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unique artist identifier used by Kunstindeks Danmark
7. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has the object as their stepparent, relative
8. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of children of the person, animal, or character
9. generational suffix, also known as age suffix, family suffix, Jr., Junior, Senior (wd:P8017 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): suffix used in name
10. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

[Tool]
Top 10 property alternatives:
1. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person linked to the item in any possible way
6. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
7. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
8. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
9. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
10. has basionym, also known as basionym (wd:P566 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the legitimate, previously published name on which a new combination or name at new rank is based

[Tool]
Top 10 property alternatives:
1. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. affiliation, also known as association, sister society, affiliated with, affiliated to, associated with (wd:P1416 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): organization that a person or organization is affiliated with (not necessarily member of or employed by)
4. autologous cell line, also known as sister cell line (wd:P3578 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): cell line originating from the same individual
5. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
6. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
7. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
8. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject has the object as their stepparent, relative
9. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
10. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): male parent of the subject. For stepfather, use "stepparent" (P3448), parent

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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. male, also known as guy, m, male character, male gender, male human (wd:Q6581097): to be used in "sex or gender" (P21) to indicate that the human s...gender" (P10339) to indicate that a word refers to a male person
2. male organism, also known as ♂, sex — male, male animal, male creature (wd:Q44148): male animal or plant
3. trans man, also known as trans guy, trans male, trans-man, transmasculine, trans men (wd:Q2449503): person assigned female at birth who identifies as a man
4. cisgender man, also known as cisgender male person, cis men, cis man, cis male, cis gender man (wd:Q15145778): gender of someone whose assigned sex at birth is male, and whose...ty aligns with that typically culturally associated with his sex
5. assigned male at birth, also known as AMAB, born male, designated male at birth, DMAB, male at birth (wd:Q25388691): assignment of a male gender shortly after birth
6. trans woman, also known as transgender woman, trans Woman, transwoman, trans-woman, transsexual Woman (wd:Q1052281): person assigned male at birth who identifies as a woman
7. intersex man, also known as intersex boy, male intersex person, male intersex human, intersex male person, intersex male human (wd:Q121307094): intersex person who identifies as a man
8. 25% male, 75% female gender ratio, also known as 3 ♀ : 1 ♂ (wd:Q116752962): gender ratio for Pokémon species
9. 87.5% male, 12.5% female gender ratio, also known as 1 ♀ : 7 ♂, 7 ♂ : 1 ♀ (wd:Q116752952): gender ratio for Pokémon species
10. 50% male, 50% female gender ratio, also known as 1 ♀ : 1 ♂ (wd:Q116752945): gender ratio for Pokémon species

No other items found

No literal items found

[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, 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
3. lesbian, also known as lesbians, women loving women, woman homosexual, WLW, Sapphist (wd:Q55719239): homosexual woman or girl
4. trans woman, also known as transgender woman, trans Woman, transwoman, trans-woman, transsexual Woman (wd:Q1052281): person assigned male at birth who identifies as a woman
5. cisgender woman, also known as Cis woman, cis woman, cis gender woman, cisgender female, Cis female (wd:Q15145779): female person who was assigned female at birth
6. assigned female at birth, also known as female at birth, DFAB, born female, AFAB, designated female at birth (wd:Q56315990): assignment of a female gender shortly after birth
7. trans man, also known as trans guy, trans male, trans-man, transmasculine, trans men (wd:Q2449503): person assigned female at birth who identifies as a man
8. intersex woman, also known as female intersex human, female intersex person, intersex female human, intersex female person, intersex girl (wd:Q121307100): intersex person who identifies as a woman
9. 25% male, 75% female gender ratio, also known as 3 ♀ : 1 ♂ (wd:Q116752962): gender ratio for Pokémon species
10. 87.5% male, 12.5% female gender ratio, also known as 1 ♀ : 7 ♂, 7 ♂ : 1 ♀ (wd:Q116752952): gender ratio for Pokémon species

No other items found

No literal items found

[Assistant]
We have now identified the following relevant properties and items:
- "father": wdt:P22
- "mother": wdt:P25
- "sibling": wdt:P3373
- "sex or gender": wdt:P21
  - "male": wd:Q6581097
  - "female": wd:Q6581072

To find double first cousins where fathers are brothers and mothers are sisters, and to avoid half siblings or other closer relationships, the query must:
1. Find two distinct humans (?cousin1, ?cousin2).
2. Their fathers (?father1, ?father2) are brothers (i.e., siblings, both male).
3. Their mothers (?mother1, ?mother2) are sisters (i.e., siblings, both female).
4. The cousins do not share a parent.
5. The cousins do not share a grandparent.

Let's try to build a query step by step. First, let's try to find two people whose fathers are brothers and mothers are sisters.

[Tool]
Got 50 rows and 6 columns, showing the first 5 and last 5 rows below:
| cousin1                                             | cousin2                                             | father1                                            | father2                                            | mother1                                                                     | mother2                                                                   |
| --------------------------------------------------- | --------------------------------------------------- | -------------------------------------------------- | -------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Julie Elise de Schouboe (wd:Q113374988)             | Ulriche Antoinette de Schouboe (wd:Q113374767)      | Ulrik Frederik Anton de Schouboe (wd:Q12340200)    | Oluf Borch de Schouboe (wd:Q1000637)               | Othilia Christopherine Jacobine von Munthe af Morgenstierne (wd:Q113368966) | Frederikke Christine Dorothea von Munthe af Morgenstierne (wd:Q113367935) |
| Lourenço Cavalcanti de Albuquerque (wd:Q104450394)  | Cristóvão de Holanda de Albuquerque (wd:Q104357822) | António de Holanda e Vasconcelos (wd:Q104450318)   | Cristóvão de Holanda e Vasconcelos (wd:Q104356769) | Filipa de Albuquerque (wd:Q104450377)                                       | Catarina de Albuquerque (wd:Q104356257)                                   |
| António de Vasconcelos Cavalcanti (wd:Q104449935)   | Cristóvão de Holanda de Albuquerque (wd:Q104357822) | António de Holanda e Vasconcelos (wd:Q104450318)   | Cristóvão de Holanda e Vasconcelos (wd:Q104356769) | Filipa de Albuquerque (wd:Q104450377)                                       | Catarina de Albuquerque (wd:Q104356257)                                   |
| Cristóvão de Holanda de Albuquerque (wd:Q104357822) | Lourenço Cavalcanti de Albuquerque (wd:Q104450394)  | Cristóvão de Holanda e Vasconcelos (wd:Q104356769) | António de Holanda e Vasconcelos (wd:Q104450318)   | Catarina de Albuquerque (wd:Q104356257)                                     | Filipa de Albuquerque (wd:Q104450377)                                     |
| Cristóvão de Holanda de Albuquerque (wd:Q104357822) | António de Vasconcelos Cavalcanti (wd:Q104449935)   | Cristóvão de Holanda e Vasconcelos (wd:Q104356769) | António de Holanda e Vasconcelos (wd:Q104450318)   | Catarina de Albuquerque (wd:Q104356257)                                     | Filipa de Albuquerque (wd:Q104450377)                                     |
| ...                                                 | ...                                                 | ...                                                | ...                                                | ...                                                                         | ...                                                                       |
| Prince Kadono (wd:Q11621026)                        | Kasugau-ō (wd:Q17277321)                            | Kōbun (wd:Q357242)                                 | Shiki no miko (wd:Q11072254)                       | Princess Tōchi (wd:Q836214)                                                 | Taki-no-himemiko (wd:Q985724)                                             |
| Anna Renata Lybecker (wd:Q112968261)                | Erik Lybecker (wd:Q125499704)                       | Carl Bleckert Lybecker (wd:Q112968263)             | Claes Lybecker (wd:Q111820818)                     | Charlotta Yxkull (wd:Q112968266)                                            | Johanna Catharina Yxkull (wd:Q125498855)                                  |
| Anna Renata Lybecker (wd:Q112968261)                | Georg Reinhold Lybecker (wd:Q125499675)             | Carl Bleckert Lybecker (wd:Q112968263)             | Claes Lybecker (wd:Q111820818)                     | Charlotta Yxkull (wd:Q112968266)                                            | Johanna Catharina Yxkull (wd:Q125498855)                                  |
| Marie Bonhomme (wd:Q112666689)                      | Jean-Maximilien de Bounam (wd:Q112666939)           | Léonard Bonhomme (wd:Q112665606)                   | Henri Bonhomme (wd:Q112665591)                     | Ode de Glen (wd:Q112665976)                                                 | Marie de Glen (wd:Q112665911)                                             |
| Léonard Bonhomme (wd:Q112666681)                    | Jean-Maximilien de Bounam (wd:Q112666939)           | Léonard Bonhomme (wd:Q112665606)                   | Henri Bonhomme (wd:Q112665591)                     | Ode de Glen (wd:Q112665976)                                                 | Marie de Glen (wd:Q112665911)                                             |

[Tool]
Got 18 rows and 6 columns, showing the first 5 and last 5 rows below:
| cousin1                                  | cousin2                                  | father1                            | father2                            | mother1                               | mother2                               |
| ---------------------------------------- | ---------------------------------------- | ---------------------------------- | ---------------------------------- | ------------------------------------- | ------------------------------------- |
| Simon, brother of Jesus (wd:Q3099259)    | James the Just (wd:Q26925)               | Cleopas (wd:Q711072)               | Joseph (wd:Q128267)                | Mary (wd:Q345)                        | Mary of Clopas (wd:Q235377)           |
| Simon, brother of Jesus (wd:Q3099259)    | Joses (wd:Q2721201)                      | Cleopas (wd:Q711072)               | Joseph (wd:Q128267)                | Mary (wd:Q345)                        | Mary of Clopas (wd:Q235377)           |
| José Ramón Villar Chao (wd:Q47257809)    | Antonio Villar Chao (wd:Q12383121)       | Ramón Villar Ponte (wd:Q12398636)  | Antonio Villar Ponte (wd:Q3319847) | wd:Q52063169                          | Micaela Chao Maciñeira (wd:Q24287634) |
| Dag Resvoll-Holmsen (wd:Q107619744)      | Per Holmsen (wd:Q47412329)               | Andreas Holmsen (wd:Q3374061)      | Gunnar Holmsen (wd:Q611320)        | Thekla Resvoll (wd:Q500677)           | Hanna Resvoll-Holmsen (wd:Q3126829)   |
| Joses (wd:Q2721201)                      | Jesus (wd:Q302)                          | Cleopas (wd:Q711072)               | Joseph (wd:Q128267)                | Mary of Clopas (wd:Q235377)           | Mary (wd:Q345)                        |
| ...                                      | ...                                      | ...                                | ...                                | ...                                   | ...                                   |
| Antonio Villar Chao (wd:Q12383121)       | José Ramón Villar Chao (wd:Q47257809)    | Antonio Villar Ponte (wd:Q3319847) | Ramón Villar Ponte (wd:Q12398636)  | Micaela Chao Maciñeira (wd:Q24287634) | wd:Q52063169                          |
| Mary Wragg (wd:Q89033088)                | William Wragg (wd:Q19423990)             | Joseph Wragg (wd:Q65555152)        | Samuel Wragg (wd:Q88989686)        | Judith Du Bose (wd:Q88990693)         | Marie Du Bose (wd:Q88989831)          |
| Elizabeth Wragg Manigault (wd:Q88991218) | William Wragg (wd:Q19423990)             | Joseph Wragg (wd:Q65555152)        | Samuel Wragg (wd:Q88989686)        | Judith Du Bose (wd:Q88990693)         | Marie Du Bose (wd:Q88989831)          |
| William Wragg (wd:Q19423990)             | Elizabeth Wragg Manigault (wd:Q88991218) | Samuel Wragg (wd:Q88989686)        | Joseph Wragg (wd:Q65555152)        | Marie Du Bose (wd:Q88989831)          | Judith Du Bose (wd:Q88990693)         |
| William Wragg (wd:Q19423990)             | Mary Wragg (wd:Q89033088)                | Samuel Wragg (wd:Q88989686)        | Joseph Wragg (wd:Q65555152)        | Marie Du Bose (wd:Q88989831)          | Judith Du Bose (wd:Q88990693)         |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?superclass ?superclassLabel WHERE {
  wd:Q121 wdt:P31 ?class .
  ?class wdt:P279 * ?superclass .
  FILTER ( ?superclass != ?class ) OPTIONAL {
    ?superclass rdfs:label ?superclassLabel FILTER ( LANG( ?superclassLabel ) = "en" )
  }
}

Got 6 rows and 2 columns:
| superclass                            | superclassLabel             |
| ------------------------------------- | --------------------------- |
| time interval (wd:Q186081)            | time interval (en)          |
| temporal entity (wd:Q26907166)        | temporal entity (en)        |
| entity (wd:Q35120)                    | entity (en)                 |
| object (wd:Q488383)                   | object (en)                 |
| month (wd:Q5151)                      | month (en)                  |
| spatio-temporal entity (wd:Q58415929) | spatio-temporal entity (en) |

The distinct super-classes of July (the seventh month in the Julian and Gregorian calendars), considering any level of subclass hierarchy, are:
- time interval (wd:Q186081)
- temporal entity (wd:Q26907166)
- entity (wd:Q35120)
- object (wd:Q488383)
- month (wd:Q5151)
- spatio-temporal entity (wd:Q58415929)

[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

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

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

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

[User] What are the distinct super-classes of July, the seventh month in the Julian and Gregorian calendars, considering any level of subclass hierarchy?

[Assistant]
Let's break down the question:

1. The entity of interest is "July", which is the seventh month in the Julian and Gregorian calendars.
2. The question asks for all distinct super-classes (i.e., all classes that July is an instance of, directly or indirectly, through any level of subclass hierarchy).

Step 1: Identify the Wikidata entity for "July".

I'll search for "July" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. July, also known as 7. month, Jul (wd:Q121): seventh month in the Julian and Gregorian calendars
2. July, also known as Park Sung-Joon (wd:Q489769): South Korean electronic sports player, professional gamer
3. July (wd:Q1996082): British rock music group
4. July (wd:Q85772466): 2019 single by Noah Cyrus
5. July (wd:Q6310426): 2007 single by Katatonia
6. July (wd:Q17092949): Marissa Nadler album
7. July (wd:Q52900158): statue in Landstraße, Austria
8. July, also known as July, West Virginia (wd:Q6310422): human settlement in West Virginia, United States of America
9. July (wd:Q66309285): female given name
10. July (wd:Q6310427): single by Ocean Colour Scene

[Assistant]
The correct entity for July, the seventh month, is wd:Q121.

Step 2: Identify how to retrieve super-classes in Wikidata.

- In Wikidata, "instance of" (P31) links an entity to its class.
- "subclass of" (P279) links a class to its super-class.
- To get all super-classes at any level, we need to traverse the subclass hierarchy recursively.

Step 3: Find all classes that July is an instance of, and then all their super-classes (recursively).

I'll search for the "instance of" property to confirm its ID, and then check the "subclass of" property as well.

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all instances of the subject are subclasses of the object
3. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
4. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): topic of which this item is an aspect; item that offers a broader perspective on the same topic
5. narrower external class, also known as external subclass (wd:P3950 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass
7. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
8. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
9. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): equivalent class in other ontologies (use property URI), exact match, URL
10. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): series which contains the subject, part of

[Assistant]
We have confirmed:
- "instance of" is wd:P31
- "subclass of" is wd:P279

Step 4: Plan the SPARQL query.

- Get all classes that July (wd:Q121) is an instance of (wd:P31).
- For each such class, get all its super-classes recursively via "subclass of" (wd:P279*).
- Return all distinct super-classes (and optionally their labels).

Now, let's write the SPARQL query.

[Tool]
Got 6 rows and 1 column:
| superclass                            |
| ------------------------------------- |
| time interval (wd:Q186081)            |
| temporal entity (wd:Q26907166)        |
| entity (wd:Q35120)                    |
| object (wd:Q488383)                   |
| month (wd:Q5151)                      |
| spatio-temporal entity (wd:Q58415929) |

[Tool]
Got 6 rows and 2 columns:
| superclass                            | superclassLabel             |
| ------------------------------------- | --------------------------- |
| time interval (wd:Q186081)            | time interval (en)          |
| temporal entity (wd:Q26907166)        | temporal entity (en)        |
| entity (wd:Q35120)                    | entity (en)                 |
| object (wd:Q488383)                   | object (en)                 |
| month (wd:Q5151)                      | month (en)                  |
| spatio-temporal entity (wd:Q58415929) | spatio-temporal entity (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?street ?person ?womenWritersID WHERE {
  ?street wdt:P31 wd:Q79007 ; wdt:P138 ?person .
  ?person wdt:P21 wd:Q6581072 ; wdt:P2533 ?womenWritersID .
}

The streets named after female individuals who have an identifier in the Women Writers database can be found by the above query. For each street, the query returns the street's IRI and the Women Writers database ID of the person it is named after.

[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

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

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

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

[User] What are the streets named after female individuals who have an identifier in the Women Writers database? For each street, return also its the Women Writers database ID.

[Assistant]
Let's break down the question:

1. We are looking for streets (entities that are streets).
2. The streets must be named after female individuals.
3. The female individuals must have an identifier in the Women Writers database.
4. For each street, we need to return the street and the Women Writers database ID of the female individual.

Step 1: Find the entity for "street" in Wikidata.
Step 2: Find the property for "named after".
Step 3: Find the property for "sex or gender" and the value for "female".
Step 4: Find the property for "Women Writers database ID".

Let's start by searching for the entity "street".

[Tool]
Top 10 entity alternatives:
1. street, also known as road, st., St, way (wd:Q79007): public thoroughfare in a built environment
2. Teddy Riley, also known as Edward Theodore Riley, Street, Lil Man (wd:Q927450): American musician and record producer (born 1967), singer-songwriter, record producer
3. Street, also known as Street, Somerset (wd:Q1249656): large village and civil parish in the county of Somerset, England
4. 16017 Street, also known as (16017) Street, Street (wd:Q1085499): asteroid
5. Street (wd:Q2355321): lunar impact crater
6. Street (wd:Q24286874): album by EXID
7. Street, also known as Streete, Street, County Westmeath, Streete, County Westmeath (wd:Q384100): village in County Westmeath, Ireland
8. Street (wd:Q3500233): album by Nina Hagen
9. The Street, also known as Street (wd:Q1412540): 1976 short film by Caroline Leaf
10. The Street, also known as Street (wd:Q48674208): 1958 film directed by Hermann Kugelstadt

[Assistant]
The relevant entity for "street" as a public thoroughfare is wd:Q79007.

Next, let's find the property for "named after", which is likely used to indicate after whom a street is named.

[Tool]
Top 10 property alternatives:
1. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
2. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject who suggested or proposed this concept or immaterial invention
3. named by, also known as coined by, namer (wd:P3938 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person or organisation that coined the name; use as qualifier for P2561 and its subproperties
4. appointed by, also known as named by (wd:P748 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): who appointed the person to the office, can be used as a qualifier
5. troponym of, also known as definition by troponym, troponym (wd:P5975 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this verb describes more narrowly the action of the more general verb used as value, hyperonym
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): informal name (for a pseudonym use P742), name
7. applies to name of subject, also known as applies to subject's name, for the name, involved name, limited to the name, valid for the name (wd:P5168 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (qualifier) label or alias name to which the claim applies (subj...er to name of the value, use "applies to name of object" (P8338), subject named as
8. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): use as qualifier to indicate how the object's value was given in the source, name
9. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, name
10. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name

[Assistant]
The property "named after" is wd:P138.

Next, we need the property for "sex or gender" and the value for "female". Let's confirm these.

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology

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

Now, let's search for the property "Women Writers database ID" to find its property code.

[Tool]
Top 10 property alternatives:
1. WomenWriters ID, also known as NEWW Women Writers ID (wd:P2533 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier in the Women Writers database of the Huygens Institute for Dutch History
2. Database of Canada's Early Women Writers ID, also known as Canada's Early Women Writers ID, CEWW ID, DoCEWW ID (wd:P13239 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an entry in the Database of Canada's Early Women Writers
3. Internet Book Database of Fiction writer ID (wd:P5365 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a writer on the Internet Book Database of Fiction website
4. Collective Biographies of Women ID, also known as Collective Biographies of Women - person ID (wd:P4539 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a person, in the Collective Biographies of Women database
5. AWARE ID, also known as Archives of Women Artists, Research and Exhibitions ID (wd:P6637 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a female artist on the Archives of Women Artists, Research and Exhibitions
6. Poets & Writers author ID, also known as PW.org author ID, PW.org ID (wd:P5394 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an author on the Poets & Writers website
7. Catalan Biographical Dictionary of Women ID, also known as Diccionari Biogràfic de Dones, Biographical Dictionary of Women (Catalan ) ID (wd:P2498 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier in the biographical dictionary of Catalan women
8. Interactive Fiction Database ID, also known as IFDB ID, TUID, tads.org Unique Identifier (wd:P6748 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for video games on database Interactive Fiction Database
9. Poetry Archive poet ID (wd:P5392 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a poet on the Poetry Archive website
10. The Literary Encyclopedia person ID, also known as LE author ID, LE person ID, Literary Encyclopedia author ID, Literary Encyclopedia person ID, Literary Encyclopedia person identifier (wd:P11870 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an author in The Literary Encyclopedia

[Assistant]
The property for "Women Writers database ID" is wd:P2533.

Now, let's summarize the plan for the SPARQL query:
- Find all entities that are instances of "street" (wd:Q79007).
- For each street, get the entity it is "named after" (wd:P138).
- The "named after" entity must be a human with "sex or gender" (wd:P21) = "female" (wd:Q6581072).
- The "named after" entity must have a "Women Writers database ID" (wd:P2533).
- For each street, return its IRI and the Women Writers database ID of the person it is named after.

Let's write the SPARQL query accordingly.

[Tool]
Got 2,304 rows and 3 columns, showing the first 5 and last 5 rows below:
| street                                    | person                                  | womenWritersID                       |
| ----------------------------------------- | --------------------------------------- | ------------------------------------ |
| Böhlaustraße (wd:Q100062379)              | Helene Böhlau (wd:Q78239)               | d47b64ae-fe38-47d1-9946-387139437225 |
| Droste-Hülshoff-Weg (wd:Q100080515)       | Annette von Droste-Hülshoff (wd:Q57307) | c1853a43-2c6f-4302-8870-3a053fc14960 |
| Rahel-Varnhagen-Promenade (wd:Q100157371) | Rahel Varnhagen (wd:Q61793)             | dd793335-0862-4573-8516-35356db8394a |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa |
| ...                                       | ...                                     | ...                                  |
| Louise-Otto-Peters-Platz (wd:Q99738483)   | Louise Otto-Peters (wd:Q71507)          | 50c125d7-e96f-4391-a406-3c93eb0fa4eb |
| Neuberinstraße (wd:Q99738708)             | Friederike Caroline Neuber (wd:Q68316)  | 796b747f-2ea4-411c-9d37-c852ff00b356 |
| Anne-Frank-Weg (wd:Q99740908)             | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f |
| Anne-Frank-Straße (wd:Q99772065)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f |
| Anne-Frank-Straße (wd:Q99774778)          | Anne Frank (wd:Q4583)                   | 9205db85-4f1b-4623-be01-fc2240d7533f |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?president ?name WHERE {
  ?president wdt:P39 wd:Q11696 .
  OPTIONAL {
    ?president wdt:P1448 ?officialName .
  }
  OPTIONAL {
    ?president wdt:P1477 ?birthName .
  }
  OPTIONAL {
    ?president wdt:P1559 ?nativeName .
  }
  BIND( COALESCE ( ?officialName , ?birthName , ?nativeName ) AS ?name ) FILTER ( BOUND( ?name ) )
}

Got 49 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | name                                     |
| -------------------------------- | ---------------------------------------- |
| Bill Clinton (wd:Q1124)          | William Jefferson Blythe III (en)        |
| Quentin Trembley (wd:Q113227667) | Sir Lord Quentin Trembley III, Esq. (en) |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)                     |
| John Adams (wd:Q11806)           | John Adams (en)                          |
| Thomas Jefferson (wd:Q11812)     | Thomas Jefferson (en)                    |
| ...                              | ...                                      |
| Richard Nixon (wd:Q9588)         | Richard Milhous Nixon (en)               |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon Baines Johnson (en)               |
| John F. Kennedy (wd:Q9696)       | John Fitzgerald Kennedy (mul)            |
| Dwight D. Eisenhower (wd:Q9916)  | David Dwight Eisenhower (en)             |
| Ronald Reagan (wd:Q9960)         | Ronald Wilson Reagan (en)                |

The individuals who have held the position of President of the United States and their names (preferring official name, then birth name, then name in native language) are returned by the query. Each president is listed with only one name, chosen in the specified order of preference.

[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

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 individuals who have held the position of President of the United States and thier names? For each president, the name should be derived from their official name, birth name, or name in their native language, in that order of preference (return only one name for each president).

[Assistant]
Let's break down the question:

1. We need to find individuals who have held the position "President of the United States".
2. For each such individual, we need to return their name, with the following preference:
   - official name
   - birth name
   - name in native language
   - (return only one name per president, using the first available in the order above)

Step 1: Find the entity for "President of the United States".
Step 2: Find the property for "position held".
Step 3: Find the properties for "official name", "birth name", and "name in native language".
Step 4: Write a SPARQL query that, for each person who held the position, returns their IRI and the preferred name.

Let's proceed step by step.

First, search for the entity "President of the United States".

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
2. cultural depictions of John F. Kennedy, also known as cultural depictions of JFK, cultural depictions of John Fitzgerald Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of President Kennedy, President of the United States (wd:Q17512211): John F. Kennedy depicted in culture
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD)
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter Jr., James E. Carter, Jr., 39th President of the United States (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, environmentalist, autobiographer, businessperson, peace activist, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as USA presidential election, 2024, US 2024 presidential election, POTUS 47, Harris v. Trump, Harris vs. Trump (wd:Q101110072): 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004): head of state of the country of Mexico
8. Executive Office of the President of the United States, also known as EOP, EOPOTUS, Executive Office of the President, The White House, United States Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States
9. President-elect of the United States, also known as President-Elect (wd:Q1467287): winning candidate of the U.S. presidential election in the time before inauguration
10. The Presidents of the United States of America, also known as Pot USA, PotUSA, PUSA, The Presidents, The Presidents of the United States (wd:Q176430): American rock band

[Assistant]
The correct entity for "President of the United States" is wd:Q11696.

Next, we need to find the property for "position held" to identify people who have held this position.

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): persons who hold and/or held the position
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): position or specialism of a player on a team
4. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier on "depicts" (P180) for human position of an individual in an artwork
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. office contested, also known as contested office, contested position, position contested (wd:P541 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): position of the head of this item
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property for "position held" is wd:P39.

Now, we need to find the properties for "official name", "birth name", and "name in native language" to use for the preferred name. Let's search for these properties one by one, starting with "official name".

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): label for the items in their official language  or their original language, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official name of the subject in its official language(s), name
3. officialized by, also known as made official by, officialised by (wd:P5194 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): informal name (for a pseudonym use P742), name
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Assistant]
The property for "official name" is wd:P1448.

Next, let's search for the property "birth name".

[Tool]
Top 10 property alternatives:
1. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): full name of a person at birth, if different from their current, generally used name, name
2. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
3. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
4. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): alias used by someone (for nickname use P1449), name
5. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official name of the subject in its official language(s), name
6. self-identified name, also known as internal name, own name, endonym (wd:P12089 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name by which a group of humans refers to itself (endonym)
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known birth location of a person, animal or fictional character, location
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the subject was born, inception
9. professional name (wd:P2838 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name passed down by generation assumed by a master of a traditional Japanese art or sport such as kabuki or sumo
10. birthday, also known as b-day, bday, birth day (wd:P3150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth

[Assistant]
The property for "birth name" is wd:P1477.

Now, let's search for the property "name in native language" (or similar, such as "native label").

[Tool]
Top 10 property alternatives:
1. name in native language, also known as native name (wd:P1559 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name of a person in their native language, name
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): label for the items in their official language  or their original language, name
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language or languages a person has learned from early childhood, languages spoken, written or signed
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
7. taxon common name, also known as common name, taxon vernacular name, TCN, vernacular name (wd:P1843 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): common or vernacular name of a biological taxon, name
8. vocalized name, also known as nikud, ḥarakāt (wd:P4239 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): item name with full vowel marks
9. name in kana, also known as kana reading, reading in kana, yomigana, kana name, kana (wd:P1814 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the reading of a Japanese name in kana, transliteration or transcription, name
10. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): full name of a person at birth, if different from their current, generally used name, name

[Assistant]
The property for "name in native language" is wd:P1559.

To summarize, the properties we need are:
- official name: wdt:P1448
- birth name: wdt:P1477
- name in native language: wdt:P1559

Now, let's write a SPARQL query that:
- Finds all individuals who held the position "President of the United States" (wd:Q11696) via wdt:P39.
- For each, returns their IRI and a single name, preferring official name, then birth name, then name in native language.
- Only one name per president, using COALESCE to select the first available.

Let's construct and execute the query.

[Tool]
Got 49 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | name                                     |
| -------------------------------- | ---------------------------------------- |
| Bill Clinton (wd:Q1124)          | William Jefferson Blythe III (en)        |
| Quentin Trembley (wd:Q113227667) | Sir Lord Quentin Trembley III, Esq. (en) |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)                     |
| John Adams (wd:Q11806)           | John Adams (en)                          |
| Thomas Jefferson (wd:Q11812)     | Thomas Jefferson (en)                    |
| ...                              | ...                                      |
| Richard Nixon (wd:Q9588)         | Richard Milhous Nixon (en)               |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon Baines Johnson (en)               |
| John F. Kennedy (wd:Q9696)       | John Fitzgerald Kennedy (mul)            |
| Dwight D. Eisenhower (wd:Q9916)  | David Dwight Eisenhower (en)             |
| Ronald Reagan (wd:Q9960)         | Ronald Wilson Reagan (en)                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?person ?personLabel WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P19 wd:Q81802 .
  ?person wdt:P20 ?deathPlace .
  ?deathPlace wdt:P31 / wdt:P279 * wd:Q328468 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}

There are no individuals recorded in Wikidata who were born in Almería Province and died in a Nazi concentration camp.

[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

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 individuals who were born in Almería Province and died in a Nazi concentration camp?

[Assistant]
Let's break down the question:

1. We need to find individuals (humans) who were:
   - Born in Almería Province.
   - Died in a Nazi concentration camp.

2. First, I need to identify the Wikidata entity for "Almería Province" and for "Nazi concentration camp".

3. Then, I need to find the relevant properties for "place of birth" and "place of death".

4. Finally, I will construct a query that finds distinct humans matching these criteria.

Let's proceed step by step.

First, I'll search for the entity "Almería Province".

[Tool]
Top 10 entity alternatives:
1. Almería Province, also known as Almeria Province, Province of Almería, Province of Almeria (wd:Q81802): province of Andalusia, Spain
2. cuisine of the province of Almería, also known as cuisine in the province of Almería, food in the province of Almería, food of the province of Almería, province of Almería cuisine, province of Almería food (wd:Q5876017)
3. Province Court of Almería, also known as Audiencia Provincial de Almería, Audiencia Provincial of Almería (wd:Q24941310)
4. Flags of the province of Almería (wd:Q81441831)
5. Pottery in the province of Almería (wd:Q5666574)
6. Day of the province of Almeria (wd:Q5815800)
7. culture of the province of Almería (wd:Q121157676): overview of culture in the province of Almería
8. history of the province of Almería (wd:Q123361305)
9. Spanish Civil War in the Almería province (wd:Q71482941)
10. province, also known as provinces (wd:Q34876): administrative division in several countries

[Assistant]
The correct entity for "Almería Province" is wd:Q81802.

Next, I need to identify the entity for "Nazi concentration camp". I'll search for this term.

[Tool]
Top 10 entity alternatives:
1. Nazi concentration camp, also known as Nazi German concentration camp (wd:Q328468): concentration camps operated by Nazi Germany
2. Nazi concentration camp badge (wd:Q15631700): cloth emblems; part of the system of identification in Nazi concentration camps
3. Nazi Concentration Camps (wd:Q1561119): 1945 film by George Stevens
4. Nazi concentration camp commandant, also known as camp commandant (wd:Q1719327): chief commanding position within the SS service of a Nazi concentration camp
5. Nazi concentration camp barracks, also known as block (wd:Q1520659): largely identical huts of a concentration camps
6. camp dentist, also known as Nazi Concentration Camp dentist (wd:Q85515749): medical personnel in Nazi concentration camps, physician, dentist
7. concentration camp guard, also known as camp guard, concentration camp overseer, Nazi concentration camp guard (wd:Q28789517): someone guarding a concentration camp
8. pharmacist in Nazi concentration camp, also known as Nazi concentration camp pharmacist (wd:Q85515966): pharmacist in Nazi concentration camps
9. Nazi concentration camp in Płaszów (wd:Q30161821)
10. Nazi concentration camps in Norway (wd:Q6983402)

[Assistant]
The correct entity for "Nazi concentration camp" is wd:Q328468.

Now, I need to identify the properties for:
- "place of birth"
- "place of death"

I'll search for the property "place of birth" first.

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

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

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

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

Now, to ensure we are only getting humans, I should use the property "instance of" (wdt:P31) with the value "human" (wd:Q5).

To summarize, the query should:
- Select distinct humans (?person)
- Where ?person wdt:P19 wd:Q81802 (born in Almería Province)
- And ?person wdt:P20 ?deathPlace, where ?deathPlace is a "Nazi concentration camp" (wd:Q328468) or a subclass thereof.

To include subclasses of "Nazi concentration camp", I'll use wdt:P31/wdt:P279*.

Now, I'll write the SPARQL query to retrieve the distinct individuals, their IRIs, and optionally their labels.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, which means there are currently no individuals in Wikidata who are recorded as being born in Almería Province and dying in a Nazi concentration camp.

I have verified the entities and properties, and the query is correct for the given criteria. Therefore, the answer is that there are no such individuals recorded in Wikidata at this time.

[Tool] Stopped generation process