PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?avWork ?avWorkLabel WHERE {
  {
    ?originalWork wdt:P50 wd:Q36322 .
  } UNION {
    ?originalWork wdt:P170 wd:Q36322 .
  }
  ?avWork wdt:P144 ?originalWork .
  ?avWork wdt:P31 / wdt:P279 * wd:Q2431196 .
  OPTIONAL {
    ?avWork rdfs:label ?avWorkLabel FILTER ( LANG( ?avWorkLabel ) = "en" )
  }
}

Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| avWork                             | avWorkLabel                |
| ---------------------------------- | -------------------------- |
| Persuasion (wd:Q106911865)         | Persuasion (en)            |
| Fire Island (wd:Q108101957)        | Fire Island (en)           |
| Emma (wd:Q1337993)                 | Emma (en)                  |
| Emma (wd:Q1338008)                 | Emma (en)                  |
| Bride and Prejudice (wd:Q1354148)  | Bride and Prejudice (en)   |
| ...                                | ...                        |
| Pride and Prejudice (wd:Q855673)   | Pride and Prejudice (en)   |
| Sense and Sensibility (wd:Q913553) | Sense and Sensibility (en) |
| Persuasion (wd:Q919025)            | Persuasion (en)            |
| Clueless (wd:Q931165)              | Clueless (en)              |
| Pride and Prejudice (wd:Q940014)   | Pride and Prejudice (en)   |

Distinct audiovisual works based on, inspired by, or written by Jane Austen include titles such as Persuasion, Fire Island, Emma, Bride and Prejudice, Pride and Prejudice, Sense and Sensibility, and Clueless, among others.

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

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

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

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

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

[User] What are the distinct audiovisual works that are based on, inspired by, or were written by Jane Austen?

[Assistant]
The user is asking for distinct audiovisual works that are based on, inspired by, or were written by Jane Austen.

Step 1: Identify the entity for Jane Austen.
Step 2: Identify properties that relate audiovisual works to Jane Austen, such as "based on," "inspired by," or "written by."
Step 3: Query for distinct audiovisual works (films, TV shows, etc.) linked to Jane Austen by these properties.

I will start by searching for the entity Jane Austen in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Jane Austen (wd:Q36322): English novelist (1775–1817), short story writer, novelist, writer
2. Austen, Jane (wd:Q19053266): entry in Dictionary of National Biography
3. Austen, Jane (wd:Q116027382): entry in A Cyclopaedia of Female Biography
4. Jane Austen (wd:Q20669108): Russian encyclopedic article
5. Jane Austen (wd:Q119802621): painting by Thomas Martine Ronaldson (1881–1942), The Box, Plymouth
6. Jane Austen (wd:Q54639704): 1986 book by Tony Tanner
7. Jane Austen (wd:Q75631099): (born 1826)
8. Jane Austen (wd:Q96085049): (1655-1717) wife of Stephen Stringer
9. Jane Cranley, also known as Jane Austen, Jane Stoughton (wd:Q75494834): Peerage person ID=176244
10. Jane Austen Centre (wd:Q6151132): permanent exhibition in Bath, UK

[Assistant]
The entity for Jane Austen is wd:Q36322, which is the English novelist Jane Austen.

Next, I will search for properties that relate audiovisual works to Jane Austen, focusing on "based on," "inspired by," or "written by." I will start by searching for properties related to "based on" or "inspired by" for this entity.

[Tool]
Top 10 property alternatives:
1. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
2. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
3. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
8. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): any state relevant to the health of an organism, including diseases and positive conditions

No other items found

[Assistant]
The property search for "based on" or similar for Jane Austen did not return relevant properties directly related to works based on or inspired by her.

I will try a more general property search for "inspired by" or "based on" without restricting to Jane Austen entity.

[Tool]
Top 10 property alternatives:
1. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
2. criterion used, also known as reason for distinction, with respect to, with reference to, respectively to, on the basis of (wd:P1013 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): property by which a distinction or classification is made
3. natural product of taxon, also known as produced by taxon, product of taxon, made from, fruit of (taxon), derived from (wd:P1582 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): links a natural product with its source (animal, plant, fungal, algal, etc.)
4. derived from lexeme, also known as derived from, etymology, history of a word, loaned from, origin of a word (wd:P5191 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): most direct lexeme(s) this one has developed from
5. after a work by, also known as inspirational artist, inspiring artist, copy of a work by, based on a work by, artist who inspired this (wd:P1877 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): artist whose work strongly inspired / was copied in this item, significant person
6. statement supported by, also known as supported by, statement is supported by, stated by, recognized by, per (wd:P3680 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): entity that supports a given statement
7. determination method or standard, also known as rationale, standard, methodology, method of determination, measured by (wd:P459 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): how a value is determined, or the standard by which it is declared
8. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): new work of art (film, book, software, etc.) derived from major part of this work
9. object sense, also known as sense derivation, derived from sense (wd:P5980 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): (qualifier) statement applies only to listed senses of statement's object
10. semantic derivation of, also known as derived from sense, sense derived from sense (wd:P12410 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): links a lexeme sense to a particular sense it is derived from

[Assistant]
The property wd:P144 "based on" is relevant and includes meanings like "modeled after," "inspired by," "iteration of," etc. This property can be used to find works based on or inspired by Jane Austen.

Next, I will also check for a property related to "written by" or "author" to find works written by Jane Austen.

I will search for properties related to "author" or "written by."

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): subject who suggested or proposed this concept or immaterial invention
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): notable scientific, artistic or literary work, or other work of significance among subject's works
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. used by, also known as armiger, user, played by, of (wd:P1535 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): item or concept that makes use of the subject (use sub-properties when appropriate)
7. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): person, profession, organization or entity that operates the equipment, facility, or service, used by
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): maker of this creative work or other object (where no more specific property exists)
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): use as qualifier to indicate how the object's value was given in the source, name

[Assistant]
The property wd:P50 "author" is the main creator(s) of a written work, which can be used to find works written by Jane Austen.

Now, I will construct a SPARQL query to find distinct audiovisual works that are either based on (wdt:P144) Jane Austen (wd:Q36322) or have Jane Austen as the author (wdt:P50). I will also include works that have a "instance of" (wdt:P31) audiovisual work (e.g., film, TV series, etc.).

I will first check the subclasses or instances of audiovisual works to filter the results properly. I will search for subclasses of "audiovisual work" or related classes.

[Tool]
Top 10 entity alternatives:
1. audiovisual work, also known as audial visual works, works (audiovisual), works (audio-visual), works (audio visual), work (audiovisual) (wd:Q2431196): creative work possessing both a sound and a visual component
2. audiovisual work (wd:Q114797752): legal concept defining a type of copyrightable work
3. lost audiovisual work (wd:Q131872580): audiovisual work produced some time in the past of which no surviving copies are known to exist
4. audiovisual release, also known as release of audiovisual work (wd:Q115668795)
5. ClassInd audiovisual work ID (wd:P8958): identifier of an audiovisual work in the Classificação Indicativa database
6. MYmovies audiovisual work ID, also known as MYmovies film ID, MYmovies TV series ID (wd:P4780): identifier for a film or a TV series in MYmovies.it
7. Audiovisual Breathing Guidance Workflow (wd:Q126549707): scholarly article
8. Audiovisual aids: 'It won't work!.' (wd:Q72627688): scientific article published on January 15, 1981
9. Interloops in audiovisual works (wd:Q122811259): doctoral thesis
10. SCIENTIFIC AUDIOVISUAL WORK HYBRID WORK AS? (wd:Q130124801): scholarly article published in 2017

[Assistant]
The entity for "audiovisual work" is wd:Q2431196, which is a creative work possessing both a sound and a visual component.

I will now find subclasses or instances of audiovisual work to filter the results. I will search for subclasses of wd:Q2431196.

[Tool]
Got 4 rows and 3 columns:
| subject                        | property               | object                                  |
| ------------------------------ | ---------------------- | --------------------------------------- |
| audiovisual work (wd:Q2431196) | subclass of (wdt:P279) | creative work (wd:Q17537576)            |
| audiovisual work (wd:Q2431196) | subclass of (wdt:P279) | intangible good (wd:Q194980)            |
| audiovisual work (wd:Q2431196) | subclass of (wdt:P279) | time-based visual work (wd:Q106213450)  |
| audiovisual work (wd:Q2431196) | subclass of (wdt:P279) | video and/or audio work (wd:Q110879282) |

[Assistant]
The entity "audiovisual work" (wd:Q2431196) is a subclass of several broader classes, but I need to find specific subclasses or instances that represent films, TV series, or similar audiovisual works.

I will now search for subclasses of "audiovisual work" (wd:Q2431196) to find more specific types of audiovisual works.

[Tool]
Got 54 rows and 3 columns, showing the first 10 rows below:
| subject                        | property               | object                         |
| ------------------------------ | ---------------------- | ------------------------------ |
| film (wd:Q11424)               | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| video game (wd:Q7889)          | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| anime (wd:Q1107)               | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| musical (wd:Q2743)             | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| television program (wd:Q15416) | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| music video (wd:Q193977)       | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| web series (wd:Q526877)        | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| animated series (wd:Q581714)   | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| film series (wd:Q24856)        | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| video clip (wd:Q677466)        | subclass of (wdt:P279) | audiovisual work (wd:Q2431196) |
| ...                            | ...                    | ...                            |

[Assistant]
There are several subclasses of audiovisual work that are relevant, such as film (wd:Q11424), television program (wd:Q15416), web series (wd:Q526877), animated series (wd:Q581714), and film series (wd:Q24856).

I will now construct a SPARQL query to find distinct works that are instances of any of these subclasses and are either based on Jane Austen (wdt:P144) or have Jane Austen as the author (wdt:P50).

I will include these subclasses in the query as possible types of the works.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results. It might be that some works are not directly instances of these subclasses but are linked through subclasses or other types.

I will try a more flexible approach by checking if the work is a subclass or instance of audiovisual work (wd:Q2431196) or its subclasses recursively.

I will modify the query to check for works that are instances of any subclass of audiovisual work using wdt:P31/wdt:P279* (instance of / subclass of transitive).

[Tool] Got no rows and 2 columns

[Assistant]
The query still returned no results. It is possible that the property "author" (wdt:P50) is not used for audiovisual works, or the works are linked differently.

I will try to find works where Jane Austen is the author or creator (wdt:P170) or the work is based on Jane Austen (wdt:P144), without restricting to audiovisual works first, to see if any works are linked at all.

Then I can filter for audiovisual works if needed.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                   | workLabel                     |
| -------------------------------------- | ----------------------------- |
| Pride and Prejudice (wd:Q108803107)    | Pride and Prejudice (en)      |
| Pride and Prejudice (wd:Q108809625)    | Pride and Prejudice (en)      |
| Pride and Prejudice (wd:Q108821141)    | Pride and Prejudice (en)      |
| The Beautifull Cassandra (wd:Q1091219) | The Beautifull Cassandra (en) |
| Emma (wd:Q112865883)                   | Emma (en)                     |
| ...                                    | ...                           |
| wd:Q44104884                           |                               |
| wd:Q44105044                           |                               |
| wd:Q44105051                           |                               |
| wd:Q44105201                           |                               |
| wd:Q44105216                           |                               |

[Assistant]
There are 100 works linked to Jane Austen by "based on" (wdt:P144), "author" (wdt:P50), or "creator" (wdt:P170). Some have English labels like "Pride and Prejudice," "Emma," and "The Beautifull Cassandra," which are known works by or based on Jane Austen.

Next, I will filter these results to only include those that are instances of or subclasses of audiovisual work (wd:Q2431196) or its subclasses.

I will modify the query to include this filter.

[Tool] Got no rows and 2 columns

[Assistant]
There are no works directly linked to Jane Austen by these properties that are also instances of audiovisual work or its subclasses.

It is possible that the works are linked indirectly or categorized differently.

I will try to find works that have Jane Austen as the author or creator and then check if these works have adaptations or derivative works that are audiovisual works.

I will first get works authored or created by Jane Austen.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                   | workLabel                     |
| -------------------------------------- | ----------------------------- |
| Pride and Prejudice (wd:Q108803107)    | Pride and Prejudice (en)      |
| Pride and Prejudice (wd:Q108809625)    | Pride and Prejudice (en)      |
| Pride and Prejudice (wd:Q108821141)    | Pride and Prejudice (en)      |
| The Beautifull Cassandra (wd:Q1091219) | The Beautifull Cassandra (en) |
| Emma (wd:Q112865883)                   | Emma (en)                     |
| ...                                    | ...                           |
| wd:Q122126088                          |                               |
| wd:Q122140764                          |                               |
| wd:Q124332322                          |                               |
| wd:Q131960967                          |                               |
| Jane Austen universe (wd:Q16020758)    | Jane Austen universe (en)     |

[Assistant]
I found works authored or created by Jane Austen, including "Pride and Prejudice," "The Beautifull Cassandra," "Emma," and "Jane Austen universe."

Now, I will find audiovisual works that are based on or inspired by these works. I will use the property "based on" (wdt:P144) to find derivative audiovisual works.

I will construct a query to find audiovisual works (instances of or subclasses of wd:Q2431196) that are based on these works.

[Tool]
Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| avWork                             | avWorkLabel                |
| ---------------------------------- | -------------------------- |
| Persuasion (wd:Q106911865)         | Persuasion (en)            |
| Fire Island (wd:Q108101957)        | Fire Island (en)           |
| Emma (wd:Q1337993)                 | Emma (en)                  |
| Emma (wd:Q1338008)                 | Emma (en)                  |
| Bride and Prejudice (wd:Q1354148)  | Bride and Prejudice (en)   |
| ...                                | ...                        |
| Pride and Prejudice (wd:Q855673)   | Pride and Prejudice (en)   |
| Sense and Sensibility (wd:Q913553) | Sense and Sensibility (en) |
| Persuasion (wd:Q919025)            | Persuasion (en)            |
| Clueless (wd:Q931165)              | Clueless (en)              |
| Pride and Prejudice (wd:Q940014)   | Pride and Prejudice (en)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2 WHERE {
  ?person1 wdt:P31 wd:Q5 ; wdt:P22 ?father1 ; wdt:P25 ?mother1 .
  ?person2 wdt:P31 wd:Q5 ; wdt:P22 ?father2 ; wdt:P25 ?mother2 .
  FILTER ( ?person1 != ?person2 ) FILTER ( ?father1 != ?father2 ) FILTER ( ?mother1 != ?mother2 ) ?father1 wdt:P22 ?grandfatherFather .
  ?father2 wdt:P22 ?grandfatherFather .
  ?mother1 wdt:P25 ?grandmotherMother .
  ?mother2 wdt:P25 ?grandmotherMother .
  FILTER NOT EXISTS {
    ?person1 wdt:P22 ?sharedFather .
    ?person2 wdt:P22 ?sharedFather .
  }
  FILTER NOT EXISTS {
    ?person1 wdt:P25 ?sharedMother .
    ?person2 wdt:P25 ?sharedMother .
  }
}
LIMIT 10

Here are some examples of humans who are double first cousins, where their fathers are brothers and their mothers are sisters, excluding half siblings or closer relations:

1. Marston Watson (wd:Q100152566) and Ellen Watson (wd:Q93427285)
   - Fathers: Elkanah Watson (wd:Q100152590) and William Watson (wd:Q126723283)
   - Mothers: Patience Watson (wd:Q96484468) and Elizabeth Marston (wd:Q93427311)

2. Jabez Gorham (wd:Q100154026) and Sarah Gorham (wd:Q118370952)
   - Fathers: Jabez Gorham (wd:Q96214076) and Joseph Gorham (wd:Q118370956)
   - Mothers: Hannah Sturgis (wd:Q96214085) and Sarah Sturgis (wd:Q118370968)

3. Jesse Crapo (wd:Q100202510) and Mercy Barney (wd:Q127503805)
   - Fathers: Peter Crapo (wd:Q100202912) and Sergeant Consider Crapo (wd:Q127503817)
   - Mothers: Sarah Crapo (wd:Q100202532) and Mercy Mary Crapo (wd:Q127503808)

4. Samuel Bayard (wd:Q100230973) and James A. Bayard (wd:Q1679889)
   - Fathers: John Bubenheim Bayard (wd:Q6221165) and James Asheton Bayard (wd:Q92625383)
   - Mothers: Margaret Hodge (wd:Q100231015) and Anne Hodge (wd:Q114760898)

5. Jane Bayard Kirkpatrick (wd:Q100231070) and James A. Bayard (wd:Q1679889)
   - Fathers: John Bubenheim Bayard (wd:Q6221165) and James Asheton Bayard (wd:Q92625383)
   - Mothers: Margaret Hodge (wd:Q100231015) and Anne Hodge (wd:Q114760898)

6. Pietro Francesco Orsini, 9.Duca di Gravina (wd:Q100440268) and Flaminio Orsini, 2.Conte di Muro (wd:Q100440356)
   - Fathers: Ostilio Orsini, Signore di Solofra (wd:Q100440270) and Flaminio Orsini, Conte di Muro (wd:Q100440358)
   - Mothers: Diana del Tufo, dei Marchesi di Lavello (wd:Q100440322) and Lucrezia del Tufo, dei Marchesi di Lavello (wd:Q100440364)

7. Giustiniana Orsini (wd:Q100440284) and Orso Orsini (wd:Q131726313)
   - Fathers: Lorenzo Orsini, co-Lord of Monterotondo (wd:Q100440287) and Jacopo Orsini (wd:Q61725750)
   - Mothers: Clarice Orsini (wd:Q100440289) and Maddalena Orsini (wd:Q61725751)

8. Giustiniana Orsini (wd:Q100440284) and Clarice Orsini (wd:Q261871)
   - Fathers: Lorenzo Orsini, co-Lord of Monterotondo (wd:Q100440287) and Jacopo Orsini (wd:Q61725750)
   - Mothers: Clarice Orsini (wd:Q100440289) and Maddalena Orsini (wd:Q61725751)

9. Flaminio Orsini, 2.Conte di Muro (wd:Q100440356) and Pietro Francesco Orsini, 9.Duca di Gravina (wd:Q100440268)
   - Fathers: Flaminio Orsini, Conte di Muro (wd:Q100440358) and Ostilio Orsini, Signore di Solofra (wd:Q100440270)
   - Mothers: Lucrezia del Tufo, dei Marchesi di Lavello (wd:Q100440364) and Diana del Tufo, dei Marchesi di Lavello (wd:Q100440322)

10. Mercy|Marcy Freeman (wd:Q100447015) and William Freeman (wd:Q113389565)
    - Fathers: Thomas Freeman (wd:Q100447017) and William Freeman (wd:Q96371361)
    - Mothers: Rebecca Sparrow (wd:Q100447024) and Lydia Sparrow (wd:Q96371362)

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

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

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

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

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

[User] Who are the 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]
To answer this question, I need to find pairs of humans who are double first cousins. Double first cousins occur when two siblings from one family marry two siblings from another family, and their children are double first cousins. Specifically, the fathers of these individuals are brothers, and the mothers are sisters. Additionally, I need to exclude cases where the individuals are half-siblings (sharing a parent) or more closely related (sharing a grandparent in another way).

Step 1: Identify the property for "father" and "mother" in Wikidata.
Step 2: Find pairs of humans who share the property that their fathers are brothers and their mothers are sisters.
Step 3: Exclude cases where the individuals share a parent (half-siblings) or have other closer relations.

I will start by searching for the properties "father" and "mother" to confirm their Wikidata property 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): subject has the object as their stepparent, relative
8. godparent, also known as godfather, godmother (wd:P1290 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

[Assistant]
The properties for father and mother are:
- father: wdt:P22
- mother: wdt:P25

Next, I will find pairs of humans (?person1 and ?person2) where:
- ?person1 and ?person2 have different fathers (?father1 and ?father2)
- ?father1 and ?father2 are brothers (i.e., they share at least one parent)
- ?person1 and ?person2 have different mothers (?mother1 and ?mother2)
- ?mother1 and ?mother2 are sisters (i.e., they share at least one parent)
- ?person1 and ?person2 are not half-siblings (i.e., they do not share a father or mother)
- ?person1 and ?person2 are humans (instance of human)

I will write a SPARQL query to find such pairs and return the item IDs of the individuals and their respective fathers and mothers.

[Tool]
Got 10 rows and 6 columns:
| person1                                                    | person2                                                    | father1                                                 | father2                                            | mother1                                                    | mother2                                                    |
| ---------------------------------------------------------- | ---------------------------------------------------------- | ------------------------------------------------------- | -------------------------------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------- |
| Marston Watson (wd:Q100152566)                             | Ellen Watson (wd:Q93427285)                                | Elkanah Watson (wd:Q100152590)                          | William Watson (wd:Q126723283)                     | Patience Watson (wd:Q96484468)                             | Elizabeth Marston (wd:Q93427311)                           |
| Jabez Gorham (wd:Q100154026)                               | Sarah Gorham (wd:Q118370952)                               | Jabez Gorham (wd:Q96214076)                             | Joseph Gorham (wd:Q118370956)                      | Hannah Sturgis (wd:Q96214085)                              | Sarah Sturgis (wd:Q118370968)                              |
| Jesse Crapo (wd:Q100202510)                                | Mercy Barney (wd:Q127503805)                               | Peter Crapo (wd:Q100202912)                             | Sergeant Consider Crapo (wd:Q127503817)            | Sarah Crapo (wd:Q100202532)                                | Mercy Mary Crapo (wd:Q127503808)                           |
| Samuel Bayard (wd:Q100230973)                              | James A. Bayard (wd:Q1679889)                              | John Bubenheim Bayard (wd:Q6221165)                     | James Asheton Bayard (wd:Q92625383)                | Margaret Hodge (wd:Q100231015)                             | Anne Hodge (wd:Q114760898)                                 |
| Jane Bayard Kirkpatrick (wd:Q100231070)                    | James A. Bayard (wd:Q1679889)                              | John Bubenheim Bayard (wd:Q6221165)                     | James Asheton Bayard (wd:Q92625383)                | Margaret Hodge (wd:Q100231015)                             | Anne Hodge (wd:Q114760898)                                 |
| Pietro Francesco Orsini, 9.Duca di Gravina (wd:Q100440268) | Flaminio Orsini, 2.Conte di Muro (wd:Q100440356)           | Ostilio Orsini, Signore di Solofra (wd:Q100440270)      | Flaminio Orsini, Conte di Muro (wd:Q100440358)     | Diana del Tufo, dei Marchesi di Lavello (wd:Q100440322)    | Lucrezia del Tufo, dei Marchesi di Lavello (wd:Q100440364) |
| Giustiniana Orsini (wd:Q100440284)                         | Orso Orsini (wd:Q131726313)                                | Lorenzo Orsini, co-Lord of Monterotondo (wd:Q100440287) | Jacopo Orsini (wd:Q61725750)                       | Clarice Orsini (wd:Q100440289)                             | Maddalena Orsini (wd:Q61725751)                            |
| Giustiniana Orsini (wd:Q100440284)                         | Clarice Orsini (wd:Q261871)                                | Lorenzo Orsini, co-Lord of Monterotondo (wd:Q100440287) | Jacopo Orsini (wd:Q61725750)                       | Clarice Orsini (wd:Q100440289)                             | Maddalena Orsini (wd:Q61725751)                            |
| Flaminio Orsini, 2.Conte di Muro (wd:Q100440356)           | Pietro Francesco Orsini, 9.Duca di Gravina (wd:Q100440268) | Flaminio Orsini, Conte di Muro (wd:Q100440358)          | Ostilio Orsini, Signore di Solofra (wd:Q100440270) | Lucrezia del Tufo, dei Marchesi di Lavello (wd:Q100440364) | Diana del Tufo, dei Marchesi di Lavello (wd:Q100440322)    |
| Mercy|Marcy Freeman (wd:Q100447015)                        | William Freeman (wd:Q113389565)                            | Thomas Freeman (wd:Q100447017)                          | William Freeman (wd:Q96371361)                     | Rebecca Sparrow (wd:Q100447024)                            | Lydia Sparrow (wd:Q96371362)                               |

[Tool] Stopped generation process


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

Got 8 rows and 2 columns:
| superClass                                     | superClassLabel                      |
| ---------------------------------------------- | ------------------------------------ |
| July (wd:Q121)                                 | July (en)                            |
| month of the Gregorian calendar (wd:Q18602249) | month of the Gregorian calendar (en) |
| 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:
- July (itself)
- month of the Gregorian calendar
- time interval
- temporal entity
- entity
- object
- month
- spatio-temporal entity

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

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

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

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

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

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

[Assistant]
To answer this question, I need to identify the entity for "July" as the seventh month in the Julian and Gregorian calendars. Then, I will find its super-classes (classes it is a subclass of) at any level of the subclass hierarchy.

Step 1: Search for the entity "July" in Wikidata.
Step 2: Identify the property that links "July" to its classes or super-classes.
Step 3: Retrieve all distinct super-classes of "July" considering any level of subclass hierarchy.

I will start with Step 1 and search for the entity "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 entity "July" as the seventh month in the Julian and Gregorian calendars is identified as wd:Q121.

Next, I will find the distinct super-classes of July (wd:Q121) considering any level of subclass hierarchy. This means I need to find all classes that July is a subclass of, directly or indirectly.

I will write a SPARQL query to get all distinct super-classes of July using the property "subclass of" (wdt:P279) recursively.

[Tool]
Got 8 rows and 2 columns:
| superClass                                     | superClassLabel                      |
| ---------------------------------------------- | ------------------------------------ |
| July (wd:Q121)                                 | July (en)                            |
| month of the Gregorian calendar (wd:Q18602249) | month of the Gregorian calendar (en) |
| 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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?street ?streetLabel ?wwID WHERE {
  ?street wdt:P31 wd:Q79007 ; wdt:P138 ?woman .
  ?woman wdt:P21 wd:Q6581072 ; wdt:P2533 ?wwID .
  OPTIONAL {
    ?street rdfs:label ?streetLabel FILTER ( LANG( ?streetLabel ) = "en" )
  }
}

The query returns streets that are named after female individuals who have an identifier in the Women Writers database. For each street, it also returns the Women Writers database ID. Some example results are:
- Böhlaustraße named after Helene Böhlau with Women Writers ID d47b64ae-fe38-47d1-9946-387139437225
- Droste-Hülshoff-Weg named after Annette von Droste-Hülshoff with Women Writers ID c1853a43-2c6f-4302-8870-3a053fc14960
- Rahel-Varnhagen-Promenade named after Rahel Varnhagen with Women Writers ID dd793335-0862-4573-8516-35356db8394a
- Bertha-von-Suttner-Straße named after Bertha von Suttner with Women Writers IDs fab0abc8-0135-4dd1-91f4-0424e78724f4 and f537c0d5-2933-46d2-8f0c-1ab20cc449aa
- Marie-Curie-Straße named after Marie Curie with Women Writers ID af6d1f01-01c4-4e3d-b3f3-97ae0bf33742

This answers the question as requested.

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

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

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

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

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

[User] 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]
To answer this question, I need to identify the following:
1. Streets that are named after individuals.
2. Among those individuals, filter the ones who are female.
3. Among those females, find those who have an identifier in the Women Writers database.
4. Return the street and the corresponding Women Writers database ID.

Step 1: Find the property for "named after" for streets.
Step 2: Find the property for "street" or "road" or similar.
Step 3: Find the property for gender to filter female individuals.
Step 4: Find the property for the Women Writers database ID.

I will start by searching for the property "named after" to find the relevant property.

[Tool]
Top 10 property alternatives:
1. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): subject who suggested or proposed this concept or immaterial invention
3. named by, also known as coined by, namer (wd:P3938 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): (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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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" corresponds to wd:P138. This property can be used to find the entity or event that inspired the subject's name.

Next, I will find the entity for "street" to identify streets in the knowledge graph.

[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 entity for "street" is wd:Q79007.

Next, I will find the property for "gender" to filter female individuals.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

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

Next, I will search for the property related to the Women Writers database ID. I will search for "Women Writers database" to find the relevant property.

[Tool]
Top 10 property alternatives:
1. WomenWriters ID, also known as NEWW Women Writers ID (wd:P2533 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for an entry in the Database of Canada's Early Women Writers
3. Collective Biographies of Women ID, also known as Collective Biographies of Women - person ID (wd:P4539 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a person, in the Collective Biographies of Women database
4. Internet Book Database of Fiction writer ID (wd:P5365 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a writer on the Internet Book Database of Fiction website
5. Italian Women Writers ID, also known as IWW ID (wd:P10525 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for an Italian woman author born before 1945 in the Italian Women Writers database
6. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
7. Catalan Biographical Dictionary of Women ID, also known as Diccionari Biogràfic de Dones, Biographical Dictionary of Women (Catalan ) ID (wd:P2498 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier in the biographical dictionary of Catalan women
8. Poets & Writers author ID, also known as PW.org author ID, PW.org ID (wd:P5394 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for an author on the Poets & Writers website
9. AWARE ID, also known as Archives of Women Artists, Research and Exhibitions ID (wd:P6637 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for a female artist on the Archives of Women Artists, Research and Exhibitions
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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier for an author in The Literary Encyclopedia

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

Now I have the necessary components:
- Streets: wd:Q79007
- Named after: wd:P138
- Gender: wd:P21 (female: wd:Q6581072)
- Women Writers database ID: wd:P2533

I will construct a SPARQL query to find streets named after female individuals who have a Women Writers database ID and return the street and the Women Writers database ID.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| street                                    | streetLabel                    | woman                                   | wwID                                 |
| ----------------------------------------- | ------------------------------ | --------------------------------------- | ------------------------------------ |
| Böhlaustraße (wd:Q100062379)              | Böhlaustraße (en)              | Helene Böhlau (wd:Q78239)               | d47b64ae-fe38-47d1-9946-387139437225 |
| Droste-Hülshoff-Weg (wd:Q100080515)       | Droste-Hülshoff-Weg (en)       | Annette von Droste-Hülshoff (wd:Q57307) | c1853a43-2c6f-4302-8870-3a053fc14960 |
| Rahel-Varnhagen-Promenade (wd:Q100157371) | Rahel-Varnhagen-Promenade (en) | Rahel Varnhagen (wd:Q61793)             | dd793335-0862-4573-8516-35356db8394a |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 |
| Bertha-von-Suttner-Straße (wd:Q100349353) | Bertha-von-Suttner-Straße (en) | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa |
| ...                                       | ...                            | ...                                     | ...                                  |
| Sophie-de-la-Roche-Straße (wd:Q100931098) | Sophie-de-la-Roche-Straße (en) | Sophie von La Roche (wd:Q62404)         | 4c3e0a05-6d0b-48f0-962b-d975cac90560 |
| Merianplatz (wd:Q100936701)               | Merianplatz (en)               | Maria Sibylla Merian (wd:Q62530)        | 3ab1f989-36aa-4795-857f-4d35a0902484 |
| Bertha-von-Suttner-Weg (wd:Q100965931)    | Bertha-von-Suttner-Weg (en)    | Bertha von Suttner (wd:Q18456)          | f537c0d5-2933-46d2-8f0c-1ab20cc449aa |
| Bertha-von-Suttner-Weg (wd:Q100965931)    | Bertha-von-Suttner-Weg (en)    | Bertha von Suttner (wd:Q18456)          | fab0abc8-0135-4dd1-91f4-0424e78724f4 |
| Marie-Curie-Straße (wd:Q100967067)        | Marie-Curie-Straße (en)        | Marie Curie (wd:Q7186)                  | af6d1f01-01c4-4e3d-b3f3-97ae0bf33742 |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?president ( COALESCE ( ?officialName , ?birthName , ?nativeName ) AS ?preferredName ) WHERE {
  ?president wdt:P39 wd:Q11696 .
  OPTIONAL {
    ?president rdfs:label ?officialName FILTER ( LANG( ?officialName ) = "en" )
  }
  OPTIONAL {
    ?president wdt:P1477 ?birthName
  }
  OPTIONAL {
    ?president wdt:P1559 ?nativeName
  }
}
ORDER BY ?president

Got 63 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | preferredName             |
| -------------------------------- | ------------------------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)           |
| Bill Clinton (wd:Q1124)          | Bill Clinton (en)         |
| Quentin Trembley (wd:Q113227667) | Quentin Trembley (en)     |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)      |
| John Adams (wd:Q11806)           | John Adams (en)           |
| ...                              | ...                       |
| Olivia Marsdin (wd:Q96181216)    | Olivia Marsdin (en)       |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon B. Johnson (en)    |
| John F. Kennedy (wd:Q9696)       | John F. Kennedy (en)      |
| Dwight D. Eisenhower (wd:Q9916)  | Dwight D. Eisenhower (en) |
| Ronald Reagan (wd:Q9960)         | Ronald Reagan (en)        |

The query returns the individuals who have held the position of President of the United States along with their preferred names. The preferred name is selected based on the order of preference: official name, birth name, or name in their native language. Each president is represented by their Wikidata entity and the corresponding preferred name.

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

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

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

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

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

[User] Who are the 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]
To answer this question, I need to identify the position "President of the United States" and then find the individuals who have held this position. For each individual, I will retrieve their name based on the order of preference: official name, birth name, or name in their native language.

Step 1: Search for the entity "President of the United States" in Wikidata.

[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 entity "President of the United States" is identified as wd:Q11696. Next, I will find individuals who have held this position. This can be done by querying for humans who have the position "President of the United States" (wd:Q11696) as a position held (P39).

After that, I will retrieve the names of these individuals with the order of preference: official name, birth name, or name in their native language. I will start by retrieving the official name (rdfs:label) and then check for birth name (P1477) and name in native language (P1559) if the official name is not available.

I will now construct and execute a SPARQL query to get the individuals who held the position of President of the United States along with their official name, birth name, and native language name.

[Tool]
Got 63 rows and 4 columns, showing the first 5 and last 5 rows below:
| president                        | officialName              | birthName                         | nativeName                               |
| -------------------------------- | ------------------------- | --------------------------------- | ---------------------------------------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)           |                                   |                                          |
| Bill Clinton (wd:Q1124)          | Bill Clinton (en)         | William Jefferson Blythe III (en) | Bill Clinton (en)                        |
| Quentin Trembley (wd:Q113227667) | Quentin Trembley (en)     |                                   | Sir Lord Quentin Trembley III, Esq. (en) |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)      |                                   | Harry S. Truman (en)                     |
| John Adams (wd:Q11806)           | John Adams (en)           |                                   | John Adams (en)                          |
| ...                              | ...                       | ...                               | ...                                      |
| Olivia Marsdin (wd:Q96181216)    | Olivia Marsdin (en)       |                                   |                                          |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon B. Johnson (en)    | Lyndon Baines Johnson (en)        | Lyndon B. Johnson (en)                   |
| John F. Kennedy (wd:Q9696)       | John F. Kennedy (en)      | John Fitzgerald Kennedy (mul)     | John F. Kennedy (en)                     |
| Dwight D. Eisenhower (wd:Q9916)  | Dwight D. Eisenhower (en) | David Dwight Eisenhower (en)      | Dwight D. Eisenhower (en)                |
| Ronald Reagan (wd:Q9960)         | Ronald Reagan (en)        | Ronald Wilson Reagan (en)         | Ronald Wilson Reagan (en)                |

[Assistant]
I have retrieved a list of individuals who have held the position of President of the United States along with their official name, birth name, and native language name. Now, I need to select one name for each president based on the order of preference: official name, birth name, or native language name.

I will construct a SPARQL query that returns the president and the preferred name according to the given order of preference.

[Tool]
Got 63 rows and 2 columns, showing the first 5 and last 5 rows below:
| president                        | preferredName             |
| -------------------------------- | ------------------------- |
| Phil Baker (wd:Q107054330)       | Phil Baker (en)           |
| Bill Clinton (wd:Q1124)          | Bill Clinton (en)         |
| Quentin Trembley (wd:Q113227667) | Quentin Trembley (en)     |
| Harry S. Truman (wd:Q11613)      | Harry S. Truman (en)      |
| John Adams (wd:Q11806)           | John Adams (en)           |
| ...                              | ...                       |
| Olivia Marsdin (wd:Q96181216)    | Olivia Marsdin (en)       |
| Lyndon B. Johnson (wd:Q9640)     | Lyndon B. Johnson (en)    |
| John F. Kennedy (wd:Q9696)       | John F. Kennedy (en)      |
| Dwight D. Eisenhower (wd:Q9916)  | Dwight D. Eisenhower (en) |
| Ronald Reagan (wd:Q9960)         | Ronald Reagan (en)        |

[Tool] Stopped generation process