PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?work WHERE {
  ?work wdt:P50 wd:Q36322 .
  ?work wdt:P31 ?type .
  VALUES ?type {
    wd:Q8261 wd:Q49084 wd:Q47461344 wd:Q7725634 wd:Q3331189 wd:Q187685 wd:Q1980247
  }
}

Got 69 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                   |
| -------------------------------------- |
| Pride and Prejudice (wd:Q108803107)    |
| Pride and Prejudice (wd:Q108821141)    |
| The Beautifull Cassandra (wd:Q1091219) |
| wd:Q114949816                          |
| wd:Q114956671                          |
| ...                                    |
| wd:Q78588541                           |
| Sense and Sensibility (wd:Q83616342)   |
| Pride and Prejudice (wd:Q83697272)     |
| Emma (wd:Q83699540)                    |
| Orgullo y prejuicio (wd:Q83841879)     |

Now I have a list of Jane Austen's actual literary works. I will use these IRIs, along with Jane Austen herself (wd:Q36322), as the set of sources for "based on" (wd:P144) and "inspired by" (wd:P941).

### Step 2: Build the Main Query

- Find distinct audiovisual works (wd:Q2431196 or subclasses).
- Where the work is based on (wd:P144) or inspired by (wd:P941) Jane Austen or one of her literary works.
- Or where Jane Austen is the screenwriter (wd:P58) or author (wd:P50).
- Return the IRIs and optionally the labels.

Let's construct the query with these improvements.

[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]
Let's break down the question:

1. We need to identify Jane Austen in Wikidata.
2. We need to find audiovisual works (films, TV, etc.) that are either:
   - Based on her works,
   - Inspired by her,
   - Or written by her.

Let's start by searching for Jane Austen's entity 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 main entity for Jane Austen, the English novelist, is wd:Q36322.

Next, we need to identify properties in Wikidata that relate audiovisual works to Jane Austen, specifically:
- "based on" (works based on her works),
- "inspired by" (works inspired by her),
- "written by" (works she wrote, e.g., screenplays or original works adapted directly).

Let's search for relevant properties: "based on", "inspired by", and "written by".

[Tool]
Top 10 property alternatives:
1. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): (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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): links a lexeme sense to a particular sense it is derived from

[Tool]
Top 10 property alternatives:
1. inspired by, also known as inspiration, source of inspiration (wd:P941 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): work, human, place or event which inspired this creative work or fictional entity
2. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
3. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
4. 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): artist whose work strongly inspired / was copied in this item, significant person
5. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): maker of this creative work or other object (where no more specific property exists)
6. model, also known as modelled after, posed, sitter, artist's model (wd:P2634 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person who appears in an artwork or photograph, in the role of an artist's model, rather than subject
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): organization or person that developed the item, creator
9. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): founder or co-founder of this organization, religion, place or entity, creator
10. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses

[Tool]
Top 10 property alternatives:
1. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): organization or person that developed the item, creator
2. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person(s) who wrote the script for subject item, film crew member, author
3. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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
5. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject who suggested or proposed this concept or immaterial invention
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
7. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
8. has written for, also known as writer for, wrote for, written for, writes for, is writing for (wd:P6872 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): publication an author has contributed to
9. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): author of song lyrics, author
10. programmed in, also known as language, programming language, written in (wd:P277 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the programming language(s) in which the software is developed

[Assistant]
We have identified the following relevant properties:
- "based on" (wd:P144)
- "inspired by" (wd:P941)
- "screenwriter" (wd:P58) and "author" (wd:P50) for "written by"

Now, we need to focus on audiovisual works. In Wikidata, these are typically instances of "film" (wd:Q11424), "television series" (wd:Q5398426), "television film" (wd:Q506240), etc.

Let's search for the entity "audiovisual work" to see if there is a superclass we can use to cover all relevant types.

[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

[Tool]
Got 2,175 rows and 1 column, showing the first 5 and last 5 rows below:
| type                                           |
| ---------------------------------------------- |
| anime television series season (wd:Q100269041) |
| pre-patch (wd:Q100354072)                      |
| Televised confession (wd:Q100489993)           |
| television franchise (wd:Q100707163)           |
| dystopian television series (wd:Q101071244)    |
| ...                                            |
| unproduced television episode (wd:Q99296898)   |
| 2D version (wd:Q99526021)                      |
| 3D version (wd:Q99526024)                      |
| 2D film (wd:Q99526025)                         |
| dream sequence (wd:Q998854)                    |

[Assistant]
There is a superclass "audiovisual work" (wd:Q2431196) in Wikidata, and many subclasses (films, TV series, etc.) are included under it. So, we can use this class to filter for audiovisual works.

Now, let's construct a query to find distinct audiovisual works that are:
- Instances (directly or indirectly) of "audiovisual work" (wd:Q2431196)
- And are either:
  - Based on (wd:P144) Jane Austen (wd:Q36322) or her works,
  - Inspired by (wd:P941) Jane Austen (wd:Q36322) or her works,
  - Written by (wd:P58 or wd:P50) Jane Austen (wd:Q36322).

To include works based on or inspired by her works, we should also consider works that are based on or inspired by items for which Jane Austen is the author.

Let's first find works where Jane Austen is directly the author (wd:P50), and then use those as possible values for "based on" or "inspired by".

Let's proceed step by step and first get works authored by Jane Austen.

[Tool]
Got 109 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                   |
| -------------------------------------- |
| Pride and Prejudice (wd:Q108803107)    |
| Pride and Prejudice (wd:Q108809625)    |
| Pride and Prejudice (wd:Q108821141)    |
| The Beautifull Cassandra (wd:Q1091219) |
| Emma (wd:Q112865883)                   |
| ...                                    |
| wd:Q78588541                           |
| Sense and Sensibility (wd:Q83616342)   |
| Pride and Prejudice (wd:Q83697272)     |
| Emma (wd:Q83699540)                    |
| Orgullo y prejuicio (wd:Q83841879)     |

[Assistant]
We have a list of works authored by Jane Austen. Now, let's construct a query that finds distinct audiovisual works (instances of wd:Q2431196 or its subclasses) that are:
- Based on (wd:P144) Jane Austen or any of her works,
- Inspired by (wd:P941) Jane Austen or any of her works,
- Or have Jane Austen as screenwriter (wd:P58) or author (wd:P50).

We'll use a VALUES clause to include both Jane Austen and her works as possible objects for "based on" and "inspired by".

Let's build the full SPARQL query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 345 for token VAR1 with content '?austenWork' (the input most likely does not follow the grammar)

[Assistant]
The error occurred because the VALUES clause cannot reference a variable from a subquery directly. Instead, we need to collect the list of Jane Austen's works in a separate step and use them directly in the VALUES clause.

Let's retrieve a sample of Jane Austen's works and use their IRIs directly in the VALUES clause for a more concrete query.

[Tool]
Got 20 rows and 1 column, showing the first 5 and last 5 rows below:
| austenWork                             |
| -------------------------------------- |
| Pride and Prejudice (wd:Q108803107)    |
| Pride and Prejudice (wd:Q108809625)    |
| Pride and Prejudice (wd:Q108821141)    |
| The Beautifull Cassandra (wd:Q1091219) |
| Emma (wd:Q112865883)                   |
| ...                                    |
| wd:Q117281083                          |
| wd:Q117281111                          |
| wd:Q117281140                          |
| wd:Q117281158                          |
| Pride and Prejudice (wd:Q118927114)    |

[Assistant]
Now, I will use Jane Austen's entity (wd:Q36322) and a sample of her works (from the previous result) in the VALUES clause. This will allow us to find audiovisual works that are based on, inspired by, or written by Jane Austen or these works.

Let's construct the SPARQL query using these IRIs.

[Tool]
Got 1 row and 1 column:
| work                     |
| ------------------------ |
| Persuasion (wd:Q4164032) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is on the right track by looking for audiovisual works (wd:Q2431196) that are based on, inspired by, or written by Jane Austen or her works. However, there are several issues that need refinement:

1. The VALUES clause includes many irrelevant entities (e.g., swimmers, rivers, ships, etc.) that are not Jane Austen's works. This should be limited to Jane Austen and her actual literary works.
2. The query only returns one result ("Persuasion"), which is clearly incomplete given the number of known adaptations and works inspired by Jane Austen. This suggests the query is either too restrictive or the data is not being queried broadly enough.
3. The query should also consider works inspired by Jane Austen as a person, not just her works.
4. The query should return the IRIs of the works, but optionally include labels for readability.

Suggestions:
- Clean up the VALUES clause to only include Jane Austen and her actual works.
- Consider using broader property paths or additional properties if relevant (e.g., P170 for creator, P57 for director if relevant for audiovisual works).
- Optionally add labels for the works for easier interpretation.
- Double-check the completeness of the result set by comparing with known adaptations (e.g., "Pride and Prejudice", "Emma", etc.).

[Assistant]
Thank you for the detailed feedback. Here’s my step-by-step plan to refine the query:

1. **Clean up the VALUES clause:** Only include Jane Austen (wd:Q36322) and her actual literary works (novels, short stories, etc.), not adaptations, ships, or other unrelated entities.
2. **Broaden the search:** Ensure we capture works based on, inspired by, or written by Jane Austen as a person, as well as those based on her literary works.
3. **Return labels:** Add optional labels for the works for readability.
4. **Check completeness:** Make sure the query can return well-known adaptations like "Pride and Prejudice", "Emma", etc.

### Step 1: Get Jane Austen’s Literary Works

Let’s first get a list of Jane Austen’s actual literary works (novels, short stories, etc.), filtering out adaptations and unrelated entities. I’ll look for works where Jane Austen is the author (wd:P50) and the work is a novel, short story, or similar literary work.

[Tool]
Got 69 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                   |
| -------------------------------------- |
| Pride and Prejudice (wd:Q108803107)    |
| Pride and Prejudice (wd:Q108821141)    |
| The Beautifull Cassandra (wd:Q1091219) |
| wd:Q114949816                          |
| wd:Q114956671                          |
| ...                                    |
| wd:Q78588541                           |
| Sense and Sensibility (wd:Q83616342)   |
| Pride and Prejudice (wd:Q83697272)     |
| Emma (wd:Q83699540)                    |
| Orgullo y prejuicio (wd:Q83841879)     |

[Assistant]
Now I have a list of Jane Austen's actual literary works. I will use these IRIs, along with Jane Austen herself (wd:Q36322), as the set of sources for "based on" (wd:P144) and "inspired by" (wd:P941).

### Step 2: Build the Main Query

- Find distinct audiovisual works (wd:Q2431196 or subclasses).
- Where the work is based on (wd:P144) or inspired by (wd:P941) Jane Austen or one of her literary works.
- Or where Jane Austen is the screenwriter (wd:P58) or author (wd:P50).
- Return the IRIs and optionally the labels.

Let's construct the query with these improvements.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2 WHERE {
  ?person1 wdt:P22 ?father1 ; wdt:P25 ?mother1 .
  ?person2 wdt:P22 ?father2 ; wdt:P25 ?mother2 .
  FILTER ( ?person1 < ?person2 ) ?father1 wdt:P21 wd:Q6581097 ; wdt:P22 ?gf ; wdt:P25 ?gm .
  ?father2 wdt:P21 wd:Q6581097 ; wdt:P22 ?gf ; wdt:P25 ?gm .
  FILTER ( ?father1 != ?father2 ) ?mother1 wdt:P21 wd:Q6581072 ; wdt:P22 ?gmf ; wdt:P25 ?gmm .
  ?mother2 wdt:P21 wd:Q6581072 ; wdt:P22 ?gmf ; wdt:P25 ?gmm .
  FILTER ( ?mother1 != ?mother2 ) FILTER ( ?father1 != ?mother1 && ?father2 != ?mother2 && ?father1 != ?mother2 && ?father2 != ?mother1 ) FILTER NOT EXISTS {
    ?father1 ( wdt:P22 | wdt:P25 ) ?sharedParent .
    ?mother1 ( wdt:P22 | wdt:P25 ) ?sharedParent .
  }
  FILTER NOT EXISTS {
    ?father2 ( wdt:P22 | wdt:P25 ) ?sharedParent .
    ?mother2 ( wdt:P22 | wdt:P25 ) ?sharedParent .
  }
  FILTER ( ?father1 != ?mother2 && ?father2 != ?mother1 && ?mother1 != ?mother2 && ?father1 != ?father2 ) FILTER NOT EXISTS {
    ?person1 ( wdt:P22 | wdt:P25 ) ?gp .
    ?person2 ( wdt:P22 | wdt:P25 ) ?gp .
    FILTER ( ?person1 != ?person2 )
  }
}
LIMIT 20

This query returns pairs of humans who are double first cousins, where their fathers are full brothers (male, sharing both parents and not siblings of the mothers) and their mothers are full sisters (female, sharing both parents and not siblings of the fathers), and who do not share a parent or grandparent. The results include the Wikidata item IDs for the individuals 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-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]
Let's break down the requirements:

1. We are looking for humans who are double first cousins.
2. Their fathers must be brothers.
3. Their mothers must be sisters.
4. The two individuals must not be half siblings (i.e., they do not share a parent).
5. They must not be more related in another way (e.g., not sharing a grandparent).

Step 1: Identify properties and entities.
- "Human": likely wd:Q5.
- "Father": property for father, likely wdt:P22.
- "Mother": property for mother, likely wdt:P25.
- "Sibling": property for sibling, likely wdt:P3373.
- "Brother": property for brother, likely wdt:P7.
- "Sister": property for sister, likely wdt:P9.

Step 2: Verify these properties in Wikidata.

I'll search for the properties for "father", "mother", "brother", "sister", and "sibling".

[Tool]
Top 10 property alternatives:
1. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject has the object as their stepparent, relative
8. godparent, also known as godfather, godmother (wd:P1290 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
10. has basionym, also known as basionym (wd:P566 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): cell line originating from the same individual
5. child, also known as has son, kids, mother of, kid, issue (wd:P40 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject has the object as their stepparent, relative
9. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent

[Tool]
Top 10 property alternatives:
1. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
2. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
3. second family name in Spanish name, also known as second family name, Spanish second name, segundo apellido en nombre en español, segundo apellido, second surname in Spanish name (wd:P1950 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): second (generally maternal) family name in Spanish names (do not use for other double barrelled names) and in some French names., family name
4. family name identical to this given name, also known as surname identical to this given name, surname identical to this first name, related surname, related family name, last name identical to this first name (wd:P1533 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): last name that is the same as a given first name. Use on items for given names, different from
5. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
6. Philippine middle name, also known as Philippine maternal surname, Philippine maternal family name, Filipino maternal surname, maternal surname, maternal family name (wd:P12330 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): maternal surname generally placed in the middle of this person's name, name
7. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject has the object as their stepparent, relative
8. family name, also known as clan name, last name, surname (wd:P734 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): part of full name of person, name
9. relation (wd:P2309 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this
10. twinning, also known as crystal twinning (wd:P537 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): type of twins a crystal forms

[Tool]
Top 10 property alternatives:
1. kinship to subject, also known as type of relationship, type of kinship, relation to, relationship (kinship), nature of kinship (wd:P1039 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): qualifier of "relative" (P1038) to indicate less usual family re...; indicate how the qualificator item is related to the main item, object of statement has role
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. kinship equivalent in SPARQL at Wikidata (wd:P4316 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): part of a SPARQL query that lists this type of ?relative of a ?p...cept "relative" (P1038)). See instructions for applicable format, Wikidata SPARQL query equivalent
5. category of associated people, also known as key people category, category of people associated with this place, category for people associated with this place (wd:P1792 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Wikimedia category for people associated with this place or organization, related category
6. mode of inheritance (wd:P1199 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): manner in which a particular genetic trait or disorder is passed from one generation to the next
7. family name, also known as clan name, last name, surname (wd:P734 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): part of full name of person, name
8. family name identical to this given name, also known as surname identical to this given name, surname identical to this first name, related surname, related family name, last name identical to this first name (wd:P1533 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): last name that is the same as a given first name. Use on items for given names, different from
9. relation (wd:P2309 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this
10. social classification, also known as social class, social status (wd:P3716 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): social class as recognized in traditional or state law

[Tool]
No entity items found

No other items found

No literal items found

[Tool]
Top 10 entity alternatives:
1. double cousin (wd:Q25377643): child of one's paternal aunt or uncle with one's maternal uncle or aunt
2. first cousin, also known as cousin-german, cousin german, cousin, child of uncle or aunt, child of uncle/aunt (wd:Q76666): child of an uncle or aunt
3. Double First (wd:Q107185215)
4. cousin, first cousin (wd:L1364509-S1)
5. Double cousin firefly, also known as Photinus consanguineus (wd:Q14928057): species of insect
6. male first cousin, also known as cousin brother (wd:Q31819505): male first degree cousin
7. female first cousin, also known as cousin sister (wd:Q12051531): female first degree cousin
8. half cousin, also known as first half cousin, first half-cousin, half-cousin, halfcousin, half first cousin (wd:Q72546324): child of one's parent's half-sibling
9. First Double Pond (wd:Q112057778): pond in Newfoundland and Labrador, Canada
10. first cousin in-law (wd:Q110292096): first cousin's spouse or spouse's first cousin

[Tool] Got no rows and 3 columns

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                             | property             | object                      |
| ----------------------------------- | -------------------- | --------------------------- |
| Vladimír Večtomov (wd:Q20985890)    | relative (wdt:P1038) | David Woodard (wd:Q1177254) |
| Liu Xuehua (wd:Q117322676)          | relative (wdt:P1038) | Barack Obama (wd:Q76)       |
| Desposyni (wd:Q1200879)             | relative (wdt:P1038) | Jesus (wd:Q302)             |
| John Whitney Walter (wd:Q102257613) | relative (wdt:P1038) | Donald Trump (wd:Q22686)    |
| Jaafar Jackson (wd:Q123693068)      | relative (wdt:P1038) | Michael Jackson (wd:Q2831)  |
| Gretl Braun (wd:Q1165052)           | relative (wdt:P1038) | Adolf Hitler (wd:Q352)      |
| Prokhor Putin (wd:Q114276863)       | relative (wdt:P1038) | Vladimir Putin (wd:Q7747)   |
| Kong Guangde (wd:Q118646429)        | relative (wdt:P1038) | Confucius (wd:Q4604)        |
| Karl-Jean Longuet (wd:Q1533730)     | relative (wdt:P1038) | Karl Marx (wd:Q9061)        |
| Zatara (wd:Q1761262)                | relative (wdt:P1038) | Leonardo da Vinci (wd:Q762) |
| ...                                 | ...                  | ...                         |

[Tool]
Got 5 rows and 3 columns:
| subject                                    | property                       | object                       |
| ------------------------------------------ | ------------------------------ | ---------------------------- |
| wd:Q131736471                              | kinship to subject (wdt:P1039) | grandchild (wd:Q3603531)     |
| Johannes Friedrich Lemmerz (wd:Q123420358) | kinship to subject (wdt:P1039) | child-in-law (wd:Q2096646)   |
| Jacinta Landa Vaz (wd:Q111993642)          | kinship to subject (wdt:P1039) | granddaughter (wd:Q19756330) |
| Susanne Thesing (wd:Q95187077)             | kinship to subject (wdt:P1039) | Paul Thesing (wd:Q2062753)   |
| wd:Q131736471                              | kinship to subject (wdt:P1039) | wd:Q131752557                |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                            | property         | object                                      |
| ---------------------------------- | ---------------- | ------------------------------------------- |
| Elizaveta Rozova (wd:Q107043381)   | father (wdt:P22) | Vladimir Putin (wd:Q7747)                   |
| Julius Caesar (wd:Q1048)           | father (wdt:P22) | Gaius Julius Caesar (wd:Q314710)            |
| Mahatma Gandhi (wd:Q1001)          | father (wdt:P22) | Karamchand Uttamchand Gandhi (wd:Q11735530) |
| Alexander Davydov (wd:Q105756206)  | father (wdt:P22) | Joseph Stalin (wd:Q855)                     |
| Charles Darwin (wd:Q1035)          | father (wdt:P22) | Robert Darwin (wd:Q204473)                  |
| Dante Alighieri (wd:Q1067)         | father (wdt:P22) | Alighiero di Bellincione (wd:Q3611787)      |
| Johann Christian Bach (wd:Q106641) | father (wdt:P22) | Johann Sebastian Bach (wd:Q1339)            |
| Kyrylo Zelenskyi (wd:Q100437052)   | father (wdt:P22) | Volodymyr Zelenskyy (wd:Q3874799)           |
| Carl Linnaeus (wd:Q1043)           | father (wdt:P22) | Nils Ingemarsson Linnaeus (wd:Q1992380)     |
| Thiago Messi (wd:Q108049158)       | father (wdt:P22) | Lionel Messi (wd:Q615)                      |
| ...                                | ...              | ...                                         |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property         | object                                    |
| ---------------------------------------------- | ---------------- | ----------------------------------------- |
| Julius Caesar (wd:Q1048)                       | mother (wdt:P25) | Aurelia (wd:Q232725)                      |
| Mahatma Gandhi (wd:Q1001)                      | mother (wdt:P25) | Putlibai Karamchand Gandhi (wd:Q48438546) |
| Charles Darwin (wd:Q1035)                      | mother (wdt:P25) | Susannah Wedgwood (wd:Q7648718)           |
| Dante Alighieri (wd:Q1067)                     | mother (wdt:P25) | Bella degli Abati (wd:Q3637724)           |
| Carl Linnaeus (wd:Q1043)                       | mother (wdt:P25) | Christina Brodersonia (wd:Q19387900)      |
| Jawaharlal Nehru (wd:Q1047)                    | mother (wdt:P25) | Swarup Rani Nehru (wd:Q62572509)          |
| Kamala Harris (wd:Q10853588)                   | mother (wdt:P25) | Shyamala Gopalan (wd:Q60844968)           |
| Jessica Isabel Rowling Arantes (wd:Q109779308) | mother (wdt:P25) | J. K. Rowling (wd:Q34660)                 |
| Narendra Modi (wd:Q1058)                       | mother (wdt:P25) | Heeraben Modi (wd:Q105529920)             |
| Knox Jolie-Pitt (wd:Q107151224)                | mother (wdt:P25) | Angelina Jolie (wd:Q13909)                |
| ...                                            | ...              | ...                                       |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property            | object                             |
| -------------------------------------------- | ------------------- | ---------------------------------- |
| Brandon Jackson (wd:Q108747135)              | sibling (wdt:P3373) | Michael Jackson (wd:Q2831)         |
| Arlinton (wd:Q111263715)                     | sibling (wdt:P3373) | Aristotle (wd:Q868)                |
| Julius Caesar (wd:Q1048)                     | sibling (wdt:P3373) | Julia Minor (wd:Q241143)           |
| Mahatma Gandhi (wd:Q1001)                    | sibling (wdt:P3373) | Raliatbehn Gandhi (wd:Q100778818)  |
| James Biden (wd:Q100741820)                  | sibling (wdt:P3373) | Joe Biden (wd:Q6279)               |
| Mikhail Jughashvili (wd:Q108723194)          | sibling (wdt:P3373) | Joseph Stalin (wd:Q855)            |
| Charles Darwin (wd:Q1035)                    | sibling (wdt:P3373) | Erasmus Alvey Darwin (wd:Q5384940) |
| Nicolaus Johann van Beethoven (wd:Q10336787) | sibling (wdt:P3373) | Ludwig van Beethoven (wd:Q255)     |
| Dante Alighieri (wd:Q1067)                   | sibling (wdt:P3373) | Francesco Alighieri (wd:Q3749520)  |
| Lola Ruiz Picasso (wd:Q109943174)            | sibling (wdt:P3373) | Pablo Picasso (wd:Q5593)           |
| ...                                          | ...                 | ...                                |

[Tool]
Got 20 rows and 6 columns, showing the first 5 and last 5 rows below:
| person1                                   | person2                                   | father1                                    | father2                                    | mother1                                        | mother2                                        |
| ----------------------------------------- | ----------------------------------------- | ------------------------------------------ | ------------------------------------------ | ---------------------------------------------- | ---------------------------------------------- |
| Harriet "Hattie" Reynolds (wd:Q110628561) | Wilbur Fisk Petherbridge (wd:Q110768477)  | Thomas Reynolds (wd:Q110628145)            | John Fletcher Petherbridge (wd:Q110702593) | Rachel Thomason Weems Reynolds (wd:Q110616589) | Jane Dorcas Weems Petherbridge (wd:Q110701984) |
| Edward Reynolds III (wd:Q110684661)       | Wilbur Fisk Petherbridge (wd:Q110768477)  | Thomas Reynolds (wd:Q110628145)            | John Fletcher Petherbridge (wd:Q110702593) | Rachel Thomason Weems Reynolds (wd:Q110616589) | Jane Dorcas Weems Petherbridge (wd:Q110701984) |
| Harriet "Hattie" Reynolds (wd:Q110628561) | Coleridge Petherbridge (wd:Q110702841)    | Thomas Reynolds (wd:Q110628145)            | John Fletcher Petherbridge (wd:Q110702593) | Rachel Thomason Weems Reynolds (wd:Q110616589) | Jane Dorcas Weems Petherbridge (wd:Q110701984) |
| Edward Reynolds III (wd:Q110684661)       | Coleridge Petherbridge (wd:Q110702841)    | Thomas Reynolds (wd:Q110628145)            | John Fletcher Petherbridge (wd:Q110702593) | Rachel Thomason Weems Reynolds (wd:Q110616589) | Jane Dorcas Weems Petherbridge (wd:Q110701984) |
| Coleridge Petherbridge (wd:Q110702841)    | Harriet "Hattie" Reynolds (wd:Q110628561) | John Fletcher Petherbridge (wd:Q110702593) | Thomas Reynolds (wd:Q110628145)            | Jane Dorcas Weems Petherbridge (wd:Q110701984) | Rachel Thomason Weems Reynolds (wd:Q110616589) |
| ...                                       | ...                                       | ...                                        | ...                                        | ...                                            | ...                                            |
| Simon, brother of Jesus (wd:Q3099259)     | historical Jesus (wd:Q51666)              | Cleopas (wd:Q711072)                       | Joseph (wd:Q128267)                        | Mary of Clopas (wd:Q235377)                    | Mary (wd:Q345)                                 |
| Joses (wd:Q2721201)                       | Jesus in Christianity (wd:Q51663)         | 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                                   |
| Per Holmsen (wd:Q47412329)                | Dag Resvoll-Holmsen (wd:Q107619744)       | Gunnar Holmsen (wd:Q611320)                | Andreas Holmsen (wd:Q3374061)              | Hanna Resvoll-Holmsen (wd:Q3126829)            | Thekla Resvoll (wd:Q500677)                    |
| Simon, brother of Jesus (wd:Q3099259)     | Joses (wd:Q2721201)                       | Cleopas (wd:Q711072)                       | Joseph (wd:Q128267)                        | Mary (wd:Q345)                                 | Mary of Clopas (wd:Q235377)                    |

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is a strong attempt and returns plausible results, but there are some issues that need refinement:

1. The use of wdt:P3373 (sibling) to infer that fathers are brothers and mothers are sisters is not precise enough. The sibling property does not distinguish between full siblings, half-siblings, or even step-siblings, and does not specify gender. Ideally, the query should check that the fathers are both male and share both parents (i.e., are full brothers), and the mothers are both female and full sisters. If possible, use explicit gender (wdt:P21) and check that both share the same set of parents (wdt:P22 and wdt:P25).

2. The query does not ensure that the sibling relationships are specifically 'brother' and 'sister' as required by the question. It should filter for gender: fathers must be male, mothers must be female.

3. The filters for excluding half-siblings and shared grandparents are good, but could be more robust by ensuring that the fathers and mothers do not share any parent (not just via wdt:P22 or wdt:P25 separately, but both).

4. The query currently returns duplicate pairs (A,B) and (B,A). Consider using an ordering filter to avoid duplicates.

Please refine the query to address these points for greater accuracy and precision.

[Assistant]
Thank you for the detailed feedback. Here’s how I’ll refine the query:

**Step-by-step plan:**

1. **Gender Filtering:**
   - Fathers must be male (wdt:P21 wd:Q6581097).
   - Mothers must be female (wdt:P21 wd:Q6581072).

2. **Full Sibling Check for Fathers and Mothers:**
   - Fathers must share both parents (same wdt:P22 and wdt:P25).
   - Mothers must share both parents (same wdt:P22 and wdt:P25).
   - Fathers must not be the same individual, and mothers must not be the same individual.

3. **No Half Siblings or Closer:**
   - Ensure the two cousins do not share a parent.
   - Ensure the two cousins do not share a grandparent.

4. **Avoid Duplicates:**
   - Enforce a canonical ordering (e.g., ?person1 < ?person2).

Let’s build the refined query step by step.

First, let's check the gender property and its values for male and female.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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. Malé, also known as Malé City (wd:Q9347): capital of the Maldives
2. Malé, also known as Malè (wd:Q295126): Italian comune
3. Mâle, also known as Male (wd:Q1347276): former commune in Orne, France
4. 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
5. Male (wd:Q4278140): village in Dachne rural hromada (municipality), Odesa Raion (district), Odesa Oblast, Ukraine
6. Enrique Ossorio, also known as Male, Enrique Matías Ossorio Crespo (wd:Q5833669): Spanish politician, politician
7. Male, also known as Male language, Male (Papua New Guinea) (wd:Q6742927): language
8. Male (wd:Q1887100): suburb of Bruges, West Flanders, Belgium
9. Malerzowice Małe (wd:Q1754889): village in Opole, Poland
10. Males, also known as Male (wd:Q6743117): village in Greece

[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"

[Tool]
Got 20 rows and 6 columns, showing the first 5 and last 5 rows below:
| person1                                                    | person2                                          | father1                                                 | father2                                        | mother1                                                 | mother2                                                    |
| ---------------------------------------------------------- | ------------------------------------------------ | ------------------------------------------------------- | ---------------------------------------------- | ------------------------------------------------------- | ---------------------------------------------------------- |
| 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)                                 |
| 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)                                 |
| 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)                            |
| 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)                            |
| 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) |
| ...                                                        | ...                                              | ...                                                     | ...                                            | ...                                                     | ...                                                        |
| Josiah Haynes (Haines) (wd:Q100447677)                     | Sgt. Peter Haynes (wd:Q108138330)                | Josiah Haynes (wd:Q100447680)                           | John Haynes (wd:Q96216918)                     | Elizabeth Noyes (wd:Q100447686)                         | Dorothy Noyes (wd:Q96216921)                               |
| Josiah Haynes (Haines) (wd:Q100447677)                     | Mary Prescott (wd:Q123219428)                    | Josiah Haynes (wd:Q100447680)                           | John Haynes (wd:Q96216918)                     | Elizabeth Noyes (wd:Q100447686)                         | Dorothy Noyes (wd:Q96216921)                               |
| Josiah Haynes (Haines) (wd:Q100447677)                     | John Haynes (wd:Q122198034)                      | Josiah Haynes (wd:Q100447680)                           | John Haynes (wd:Q96216918)                     | Elizabeth Noyes (wd:Q100447686)                         | Dorothy Noyes (wd:Q96216921)                               |
| Rebecca Perry (wd:Q100699883)                              | Bennet Freeman (wd:Q92407004)                    | Edmund Freeman (wd:Q88039388)                           | Major John Freeman (wd:Q92406850)              | Rebecca Freeman (wd:Q100699886)                         | Mercy Prence (wd:Q92406436)                                |
| Rebecca Perry (wd:Q100699883)                              | John Freeman (wd:Q94319530)                      | Edmund Freeman (wd:Q88039388)                           | Major John Freeman (wd:Q92406850)              | Rebecca Freeman (wd:Q100699886)                         | Mercy Prence (wd:Q92406436)                                |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is quite thorough in identifying double first cousins whose fathers are full brothers and mothers are full sisters, and it attempts to exclude half siblings and those who share a grandparent. However, there are some redundancies and possible inefficiencies in the FILTER clauses, and the logic for excluding shared grandparents could be improved. Specifically, the FILTER NOT EXISTS block is correct, but the earlier FILTERs that compare parents and grandparents could be streamlined. Additionally, the query should ensure that the fathers and mothers are not siblings themselves (i.e., the two sets of siblings are not related), which is not explicitly checked. Consider adding a check to ensure that the fathers and mothers do not share a parent (i.e., are not siblings themselves), to fully satisfy the requirement that there is no closer relationship. Also, the query could be made more readable by grouping related conditions.

[Assistant]
Thank you for the feedback. Here’s how I’ll refine the query further:

**Key improvements:**
1. **Streamline FILTERs:** Remove redundant parent/grandparent checks and combine related conditions for clarity.
2. **Explicitly Exclude Parental Siblinghood:** Ensure that the fathers and mothers are not siblings themselves (i.e., do not share a parent).
3. **Readability:** Group related logic for clarity.

**Plan:**
- Define ?person1 and ?person2, with canonical ordering.
- Fathers (?father1, ?father2) are male, full brothers (share both parents, not same), and not siblings of the mothers.
- Mothers (?mother1, ?mother2) are female, full sisters (share both parents, not same), and not siblings of the fathers.
- Fathers and mothers are not the same individuals.
- The two cousins do not share a parent or grandparent.
- The fathers and mothers do not share a parent (i.e., are not siblings themselves).

Here is the refined query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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 7 rows and 2 columns:
| superclass                                     | superclassLabel                      |
| ---------------------------------------------- | ------------------------------------ |
| 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 (wd:Q121), considering any level of subclass hierarchy, are:
- month of the Gregorian calendar (wd:Q18602249)
- 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-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]
Let's break down the question:

1. We need to identify the entity for "July" in Wikidata.
2. We need to find all its super-classes, at any level of the subclass hierarchy (i.e., recursively follow subclass relationships).
3. We want the distinct super-classes.

First, I will search for the entity representing "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 in the Julian and Gregorian calendars" is wd:Q121.

Next, I need to find all distinct super-classes of wd:Q121, considering any level of subclass hierarchy. In Wikidata, the property for "subclass of" is typically wdt:P279. To get all super-classes at any level, I will use a SPARQL property path with wdt:P279+.

I will now construct a SPARQL query to get all distinct super-classes of wd:Q121 via any number of subclass steps.

[Tool]
Got 7 rows and 1 column:
| superclass                                     |
| ---------------------------------------------- |
| month of the Gregorian calendar (wd:Q18602249) |
| time interval (wd:Q186081)                     |
| temporal entity (wd:Q26907166)                 |
| entity (wd:Q35120)                             |
| object (wd:Q488383)                            |
| month (wd:Q5151)                               |
| spatio-temporal entity (wd:Q58415929)          |

[Tool]
Got 7 rows and 2 columns:
| superclass                                     | superclassLabel                      |
| ---------------------------------------------- | ------------------------------------ |
| 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

[User]
Feedback (status=done):
The SPARQL query correctly uses the transitive closure of the 'subclass of' (wdt:P279+) property to retrieve all distinct super-classes of July (wd:Q121) at any level of the subclass hierarchy. It also optionally retrieves English labels for each superclass. The result matches the expected structure and content for the question. No further refinement is needed.


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 with this query. For each street, the query returns the street, the female individual it is named after, and her Women Writers database ID. Examples include Böhlaustraße (named after Helene Böhlau), Droste-Hülshoff-Weg (named after Annette von Droste-Hülshoff), and Anne-Frank-Straße (named after Anne Frank), among many 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 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. These 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.

Step 1: Find the entity for "street" in Wikidata.
Step 2: Find the property for "named after" (likely P138).
Step 3: Find the property for "sex or gender" (likely P21) and the entity for "female" (likely Q6581072).
Step 4: Find the property for "Women Writers database ID".
Step 5: Combine all these to get the streets, the female individual, and the Women Writers database ID.

Let's start by searching for the "Women Writers database ID" property in Wikidata.

[Tool]
Top 10 property alternatives:
1. WomenWriters ID, also known as NEWW Women Writers ID (wd:P2533 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in the Database of Canada's Early Women Writers
3. Internet Book Database of Fiction writer ID (wd:P5365 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for video games on database Interactive Fiction Database
9. Poetry Archive poet ID (wd:P5392 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an author in The Literary Encyclopedia

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

Next, let's confirm the entity for "street" and the property for "named after". I'll search for "street" to get the correct entity.

[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" as a public thoroughfare is wd:Q79007.

Now, let's confirm the property for "named after", which is likely "P138". I'll search for "named after" to be sure.

[Tool]
Top 10 property alternatives:
1. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject who suggested or proposed this concept or immaterial invention
3. named by, also known as coined by, namer (wd:P3938 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): (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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 for "named after" is wd:P138.

Now, let's confirm the property for "sex or gender" and the entity for "female". I'll search for "sex or gender" to get the property, and then for "female" to get the entity.

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. sexual orientation, also known as sexuality (wd:P91 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): male form of name or title (for female use P2521)
10. GSSO ID, also known as Gender, Sex, and Sexual Orientation Ontology ID, GSSO identifier, Gender, Sex, and Sexual Orientation Ontology identifier (wd:P9827 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): 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 entity for "female" (for humans) is wd:Q6581072.

Now, let's put this all together:
- Find all entities that are instances of "street" (wd:Q79007).
- These streets are "named after" (wd:P138) a person.
- The person must have "sex or gender" (wd:P21) "female" (wd:Q6581072).
- The person must have a "Women Writers database ID" (wd:P2533).
- For each street, return the street, the person, and the Women Writers database ID.

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

[User]
Feedback (status=done):
The SPARQL query correctly retrieves streets named after female individuals who have a Women Writers database ID, returning the street, the person, and the Women Writers database ID. The query uses the correct properties and ensures that only female individuals with a Women Writers ID are included. The result contains the required IRIs and is complete and correct according to the user's request.