PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2 WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER ( ?person1 != ?person2 ) FILTER NOT EXISTS {
    ?person1 wdt:P22 | wdt:P25 ?sharedParent .
    ?person2 wdt:P22 | wdt:P25 ?sharedParent
  }
  FILTER NOT EXISTS {
    ?person1 wdt:P1038 ?grandparent .
    ?person2 wdt:P1038 ?grandparent
  }
}

There are no instances of double first cousins in the Wikidata dataset where their fathers are brothers, their mothers are sisters, and they do not share a parent or a grandparent.

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

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

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

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

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

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

[Assistant]
To solve this problem, we need to identify individuals who are double first cousins, meaning their fathers are brothers and their mothers are sisters. We also need to ensure that these individuals are not half-siblings or more closely related in another way (e.g., sharing a grandparent).

### Step 1: Identify the relevant properties
We need to find properties related to family relationships such as father, mother, brother, sister, and grandparent.

Let's start by searching for these properties in the knowledge graph.

#### Search for properties related to family relationships

[Tool]
Top 10 property alternatives:
1. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): subject has the object as their stepparent, relative
8. godparent, also known as godfather, godmother (wd:P1290 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
4. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
5. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): subject has the object as their stepparent, relative
6. mother house, also known as cell of, motherhouse (wd:P612 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): principal house or community for a religious institute
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): language or languages a person has learned from early childhood, languages spoken, written or signed
8. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
9. godparent, also known as godfather, godmother (wd:P1290 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): person who is the godparent of a given person, relative
10. broader concept, also known as parent concept, wider term, wider concept, nearest matched item above this one in external hierarchy, is a child concept of (wd:P4900 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): qualifier to indicate a broader concept that the present item is... source. The statement being qualified should be an exact match.

[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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
10. has basionym, also known as basionym (wd:P566 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): cell line originating from the same individual
5. child, also known as has son, kids, mother of, kid, issue (wd:P40 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): subject has the object as their stepparent, relative
9. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
2. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
3. child, also known as has son, kids, mother of, kid, issue (wd:P40 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
4. parent, also known as guardian, parents (wd:P8810 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
5. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
6. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
7. godparent, also known as godfather, godmother (wd:P1290 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): person who is the godparent of a given person, relative
8. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): subject has the object as their stepparent, relative
9. kinship to subject, also known as type of relationship, type of kinship, relation to, relationship (kinship), nature of kinship (wd:P1039 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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
10. ancestral home, also known as native village, native place, ancestral village, ancestral homeplace, ancestral place (wd:P66 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): place of origin for ancestors of subject, significant place

[Assistant]
From the search results, we have identified the following properties:
- Father: `wdt:P22`
- Mother: `wdt:P25`
- Brother: `wdt:P3373` (sibling, which includes both brothers and sisters)
- Sister: `wdt:P3373` (sibling, which includes both brothers and sisters)
- Grandparent: `wdt:P1038` (relative, which can be qualified with `wdt:P1039` to specify the type of kinship)

### Step 2: Build the SPARQL Query
We need to find individuals (`?person1` and `?person2`) who are double first cousins, meaning:
- Their fathers are brothers.
- Their mothers are sisters.
- They are not half-siblings (i.e., they do not share a parent).
- They are not more closely related in another way (i.e., they do not share a grandparent).

Let's start by constructing a basic query to find individuals whose fathers are brothers and whose mothers are sisters.

#### Basic Query
```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
}
```

This query will find pairs of individuals whose fathers are brothers and whose mothers are sisters. However, we need to add constraints to ensure they are not half-siblings and not more closely related.

#### Add Constraints
1. **Not Half-Siblings**: Ensure they do not share a parent.
2. **Not More Closely Related**: Ensure they do not share a grandparent.

Let's add these constraints to the query.

#### Final Query
```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

This query ensures that:
- `?person1` and `?person2` are different individuals.
- They do not share a parent.
- They do not share a grandparent.

Let's execute this query to see the results.

[Tool] Got no rows and 6 columns

[Assistant]
It appears that the query did not return any results, which suggests that either the data in Wikidata does not contain any instances of double first cousins meeting the specified criteria, or the query might need further refinement.

### Step 3: Refine the Query
Let's break down the query to ensure that each part is working correctly and then combine them step by step.

#### Step 3.1: Find Individuals Whose Fathers Are Brothers
First, let's find pairs of individuals whose fathers are brothers.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  FILTER(?person1 != ?person2)
}
```

This query should return pairs of individuals whose fathers are brothers.

#### Step 3.2: Find Individuals Whose Mothers Are Sisters
Next, let's find pairs of individuals whose mothers are sisters.

```sparql
SELECT ?person1 ?person2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

This query should return pairs of individuals whose mothers are sisters.

#### Step 3.3: Combine the Results
Now, let's combine the results from the two queries to find pairs of individuals whose fathers are brothers and whose mothers are sisters.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

This query should return pairs of individuals who are double first cousins.

#### Step 3.4: Add Constraints
Finally, let's add the constraints to ensure they are not half-siblings and not more closely related.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

Let's execute this refined query to see if it returns any results.

[Tool] Got no rows and 6 columns

[Assistant]
The refined query still did not return any results. This suggests that the data in Wikidata might not contain any instances of double first cousins meeting the specified criteria, or there might be a more subtle issue with the query.

### Step 4: Further Analysis and Debugging
Let's break down the query even further to understand why it might not be returning any results.

#### Step 4.1: Check for Individuals Whose Fathers Are Brothers
First, let's check if there are any individuals whose fathers are brothers.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  FILTER(?person1 != ?person2)
}
```

This query should return pairs of individuals whose fathers are brothers.

#### Step 4.2: Check for Individuals Whose Mothers Are Sisters
Next, let's check if there are any individuals whose mothers are sisters.

```sparql
SELECT ?person1 ?person2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

This query should return pairs of individuals whose mothers are sisters.

#### Step 4.3: Combine the Results
If both of the above queries return results, we can combine them to find pairs of individuals who are double first cousins.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

#### Step 4.4: Add Constraints
Finally, let's add the constraints to ensure they are not half-siblings and not more closely related.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

Let's execute the first two queries to see if they return any results.

### Execute the First Query
```sparql
SELECT ?person1 ?person2 ?father1 ?father2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  FILTER(?person1 != ?person2)
}
```

### Execute the Second Query
```sparql
SELECT ?person1 ?person2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

Let's execute these queries to see if they return any results.

[Tool]
Got more than 131,073 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?person1                                       | ?person2                                   | ?father1                             | ?father2                                        |
| ---------------------------------------------- | ------------------------------------------ | ------------------------------------ | ----------------------------------------------- |
| Ulriche Antoinette de Schouboe (wd:Q113374767) | Julie Elise de Schouboe (wd:Q113374988)    | Oluf Borch de Schouboe (wd:Q1000637) | Ulrik Frederik Anton de Schouboe (wd:Q12340200) |
| Miklós Festetics (wd:Q123859624)               | László Festetics (wd:Q1000947)             | Imre Festetics (wd:Q1000929)         | György Festetics (wd:Q1000935)                  |
| Miklós Festetics (wd:Q123859624)               | Julianna Festetics de Tolna (wd:Q63256031) | Imre Festetics (wd:Q1000929)         | György Festetics (wd:Q1000935)                  |
| László Festetics (wd:Q1000947)                 | Miklós Festetics (wd:Q123859624)           | György Festetics (wd:Q1000935)       | Imre Festetics (wd:Q1000929)                    |
| Julianna Festetics de Tolna (wd:Q63256031)     | Miklós Festetics (wd:Q123859624)           | György Festetics (wd:Q1000935)       | Imre Festetics (wd:Q1000929)                    |
| ...                                            | ...                                        | ...                                  | ...                                             |
| Zhao Chengxi (wd:Q45379901)                    | Zhao Chengyan (wd:Q45504942)               | Zhao Deyi (wd:Q19825806)             | Zhao Decun (wd:Q19850069)                       |
| Zhao Chengkan (wd:Q45393814)                   | Zhao Chengyan (wd:Q45504942)               | Zhao Deyi (wd:Q19825806)             | Zhao Decun (wd:Q19850069)                       |
| Zhao Chengfan (wd:Q45402755)                   | Zhao Chengyan (wd:Q45504942)               | Zhao Deyi (wd:Q19825806)             | Zhao Decun (wd:Q19850069)                       |
| Zhao Chengxu (wd:Q45409808)                    | Zhao Chengyan (wd:Q45504942)               | Zhao Deyi (wd:Q19825806)             | Zhao Decun (wd:Q19850069)                       |
| Zhao Chenggong (wd:Q45504752)                  | Zhao Chengyan (wd:Q45504942)               | Zhao Deyi (wd:Q19825806)             | Zhao Decun (wd:Q19850069)                       |

[Tool]
Got more than 131,073 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?person1                                                 | ?person2                                                       | ?mother1                                  | ?mother2                           |
| -------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------- | ---------------------------------- |
| Vincenz Christian Prinz Auersperg (wd:Q100153961)        | Johann Széchenyi (wd:Q94527578)                                | Maria Aloisia Clam-Gallas (wd:Q100154040) | Alojzia Clam-Gallas (wd:Q55882336) |
| Caroline Auersperg (wd:Q100169487)                       | Johann Széchenyi (wd:Q94527578)                                | Maria Aloisia Clam-Gallas (wd:Q100154040) | Alojzia Clam-Gallas (wd:Q55882336) |
| Vincenz Christian Prinz Auersperg (wd:Q100153961)        | Alojzia, Gräfin Széchényi de Sárvár-Felsövidék (wd:Q109687248) | Maria Aloisia Clam-Gallas (wd:Q100154040) | Alojzia Clam-Gallas (wd:Q55882336) |
| Caroline Auersperg (wd:Q100169487)                       | Alojzia, Gräfin Széchényi de Sárvár-Felsövidék (wd:Q109687248) | Maria Aloisia Clam-Gallas (wd:Q100154040) | Alojzia Clam-Gallas (wd:Q55882336) |
| Flavius (wd:Q114712319)                                  | Constantia (wd:Q114689847)                                     | Helena (wd:Q1001933)                      | Constantina (wd:Q464452)           |
| ...                                                      | ...                                                            | ...                                       | ...                                |
| Lady Mary Caroline Charlotte Byng (wd:Q75933697)         | Lady Frances Conyngham (wd:Q75315079)                          | Lady Agnes Paget (wd:Q75258992)           | Lady Jane Paget (wd:Q75388692)     |
| Lady Victoria Alexandrina Anna Maria Byng (wd:Q75933700) | Lady Frances Conyngham (wd:Q75315079)                          | Lady Agnes Paget (wd:Q75258992)           | Lady Jane Paget (wd:Q75388692)     |
| Francis Byng, 5th Earl of Strafford (wd:Q5480392)        | Lady Elizabeth Georgiana Conyngham (wd:Q75280449)              | Lady Agnes Paget (wd:Q75258992)           | Lady Jane Paget (wd:Q75388692)     |
| George Byng, 3rd Earl of Strafford (wd:Q5537512)         | Lady Elizabeth Georgiana Conyngham (wd:Q75280449)              | Lady Agnes Paget (wd:Q75258992)           | Lady Jane Paget (wd:Q75388692)     |
| Henry Byng, 4th Earl of Strafford (wd:Q5718947)          | Lady Elizabeth Georgiana Conyngham (wd:Q75280449)              | Lady Agnes Paget (wd:Q75258992)           | Lady Jane Paget (wd:Q75388692)     |

[Assistant]
Both queries returned results, indicating that there are individuals whose fathers are brothers and individuals whose mothers are sisters. Now, let's combine these results to find pairs of individuals who are double first cousins.

### Step 4.3: Combine the Results
We will combine the results from the two queries to find pairs of individuals who are double first cousins.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
}
```

### Step 4.4: Add Constraints
Finally, let's add the constraints to ensure they are not half-siblings and not more closely related.

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

Let's execute this combined and constrained query to see if it returns any results.

### Execute the Combined and Constrained Query
```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

Let's execute this query to see if it returns any results.

[Tool] Got no rows and 6 columns

[Assistant]
The combined and constrained query still did not return any results. This suggests that the data in Wikidata might not contain any instances of double first cousins meeting the specified criteria, or there might be a more subtle issue with the query.

### Step 5: Final Analysis and Conclusion
Given that the query did not return any results, and considering the constraints and the data available in Wikidata, it is possible that there are no instances of double first cousins who meet all the specified criteria in the dataset.

### Final Answer
Since the query did not return any results, it appears that there are no instances of double first cousins in the Wikidata dataset where their fathers are brothers, their mothers are sisters, and they do not share a parent or a grandparent.

Here is the final SPARQL query for reference:

```sparql
SELECT ?person1 ?person2 ?father1 ?father2 ?mother1 ?mother2
WHERE {
  ?person1 wdt:P22 ?father1 .
  ?person2 wdt:P22 ?father2 .
  ?father1 wdt:P3373 ?father2 .
  ?person1 wdt:P25 ?mother1 .
  ?person2 wdt:P25 ?mother2 .
  ?mother1 wdt:P3373 ?mother2 .
  FILTER(?person1 != ?person2)
  FILTER NOT EXISTS { ?person1 wdt:P22|wdt:P25 ?sharedParent . ?person2 wdt:P22|wdt:P25 ?sharedParent }
  FILTER NOT EXISTS { ?person1 wdt:P1038 ?grandparent . ?person2 wdt:P1038 ?grandparent }
}
```

The answer to the question is that there are no such individuals in the Wikidata dataset.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?superClass WHERE {
  wd:Q121 rdfs:subClassOf * ?superClass .
}

Got 1 row and 1 column:
| ?superClass    |
| -------------- |
| July (wd:Q121) |

There are no distinct super-classes for July in the context of the Julian and Gregorian calendars.

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

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

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

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

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

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

[Assistant]
To answer this question, we need to identify the entity representing "July" in the knowledge graph and then find its super-classes, potentially through multiple levels of the class hierarchy. Let's start by searching for the entity representing "July".

### Step 1: Search for the Entity Representing "July"
I will use the `search_entity` function to find the entity corresponding to "July".

[Tool]
Top 10 entity alternatives:
1. The month July (wd:Q22236949)
2. Labors of the Months: July, also known as Monthly pictures: The month of July (wd:Q125470748): painting by Hans Wertinger at the Germanisches Nationalmuseum, Nuremberg, Germany
3. Leo (The Month of July) (wd:Q21623570): painting by Peter Snijers
4. The Twelve Months: July (wd:Q80029842): print by Jan van de Velde (Dutch, 1620-1662) (1960.143.8)
5. Popular Science Monthly, July 1872 (wd:Q105336540): issue from first volume
6. Popular Science Monthly, July 1873 (wd:Q105437976): issue from third volume
7. Images of the month: July 2014 (wd:Q58925674): scientific article published in Nature
8. July 2012: This Month in JoVE (wd:Q57897090): article by Aaron Kolski-Andreaco published 1 July 2012 in Journal of Visualized Experiments
9. July 2009: This Month's Highlights (wd:Q86878852): scientific article published on 01 July 2009
10. The months july and august (wd:Q55409320): painting by Jan van den Hoecke, , Neue Burg, Sammlung alter Musikinstrumente

[Assistant]
From the search results, the entity that represents "July" as the month is `wd:Q22236949`. Now, we need to find the super-classes of this entity. We can do this by looking for the `rdfs:subClassOf` relationships.

### Step 2: Find Super-Classes of July
I will use the `list` function to find the super-classes of `wd:Q22236949`.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct `rdfs:subClassOf` relationships for the entity `wd:Q22236949`. This might mean that the entity is not classified directly under any super-class, or it could be that the super-classes are defined indirectly through other properties.

### Step 3: Explore Other Properties and Indirect Super-Classes
Let's explore other properties of `wd:Q22236949` to see if we can find any indirect super-classes. We can use the `list` function to get all the properties and their values for `wd:Q22236949`.

[Tool]
Got 31 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                             | object                                                                                |
| ----------------------------- | ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------- |
| The month July (wd:Q22236949) | instance of (wdt:P31)                | drawing (wd:Q93184)                                                                                |
| The month July (wd:Q22236949) | image (wdt:P18)                      | <http://commons.wikimedia.org/wiki/Special:FilePath/De%20maand%20juli%2C%201555%2C%20Groeningemuseum%2C%200041447000.jpg> |
| The month July (wd:Q22236949) | location (wdt:P276)                  | Groeningemuseum (wd:Q1948674)                                                                                |
| The month July (wd:Q22236949) | inception (wdt:P571)                 | 1555-01-01T00:00:00Z                                                                                |
| The month July (wd:Q22236949) | described at URL (wdt:P973)          | <http://vlaamsekunstcollectie.be/collection/work/data/0000_GRO1973_II>                                                    |
| The month July (wd:Q22236949) | collection (wdt:P195)                | Groeningemuseum (wd:Q1948674)                                                                                |
| The month July (wd:Q22236949) | inventory number (wdt:P217)          | 0000.GRO1973.II                                                                                |
| The month July (wd:Q22236949) | creator (wdt:P170)                   | Jan Swart van Groningen (wd:Q1682266)                                                                                |
| The month July (wd:Q22236949) | depicts (wdt:P180)                   | tree (wd:Q10884)                                                                                |
| The month July (wd:Q22236949) | Groeningemuseum work PID (wdt:P2282) | 0000_GRO1973_II                                                                                |
| ...                           | ...                                  | ...                                                                                |

[Assistant]
It seems that the entity `wd:Q22236949` is actually a specific artwork titled "The month July" rather than the month itself. This explains why we did not find any `rdfs:subClassOf` relationships.

### Step 4: Search for the Correct Entity Representing the Month July
Let's search again for the correct entity representing the month July in the context of the Julian and Gregorian calendars.

[Tool]
Top 10 entity alternatives:
1. Labors of the Months: July, also known as Monthly pictures: The month of July (wd:Q125470748): painting by Hans Wertinger at the Germanisches Nationalmuseum, Nuremberg, Germany
2. Leo (The Month of July) (wd:Q21623570): painting by Peter Snijers
3. Images of the month: July 2014 (wd:Q58925674): scientific article published in Nature
4. Twelve Months of Fruit:  July (wd:Q79901954): print by Henry Fletcher (British, active 1715-38) (1945.242)
5. Twelve Months of Flowers:  July (wd:Q80018261): print by Henry Fletcher (British, active 1715-38) (1942.252)
6. Twelve Months of Flowers: July (wd:Q50669003): painting by Jacob van Huysum
7. Case of the month. July 1996--precocious puberty (wd:Q48809311): scientific article published in January 1997
8. BOOK OF THE MONTH – July Crisis (wd:Q110944344)
9. Atmospheric Temperatures During the Month of July (wd:Q41771556): scientific article published on March 17, 2011
10. July 2018 Pulmonary Case of the Month (wd:Q129588172): scholarly article

[Assistant]
None of these results seem to represent the month July in the context of the Julian and Gregorian calendars. Let's try a more specific search to find the entity representing the month July.

### Step 5: Search for the Entity Representing the Month July in the Julian and Gregorian Calendars
I will use the `search_entity` function again with a more specific query.

[Tool]
Top 10 entity alternatives:
1. July, seventh month on the Gregorian calendar (wd:L31484-S1)
2. month in the Julian and Gregorian calendars (wd:L8826-S1)
3. month in the Julian and Gregorian calendars (wd:L9048-S1)
4. fourth month in the Julian and Gregorian calendars (wd:L2589-S1)
5. fourth  month in the Julian and Gregorian calendars (wd:L704-S1)
6. eleventh month in the Julian and Gregorian calendars (wd:L711-S1)
7. first month in the Julian and Gregorian calendars (wd:L2586-S1)
8. first month in the Julian and Gregorian calendars (wd:L701-S1)
9. eighth month in the Julian and Gregorian calendars (wd:L708-S1)
10. fifth month in the Julian and Gregorian calendars (wd:L705-S1)

[Assistant]
It seems that the search results include some lexical entries (denoted by `wd:L...`) rather than the actual entity representing the month July. Let's try a more direct search for the month July in the context of the Julian and Gregorian calendars.

### Step 6: Search for the Entity Representing the Month July in the Julian and Gregorian Calendars Again
I will use the `search_entity` function with a more precise query to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. July, seventh month on the Gregorian calendar (wd:L31484-S1)
2. month in the Julian and Gregorian calendars (wd:L8826-S1)
3. month in the Julian and Gregorian calendars (wd:L9048-S1)
4. fourth month in the Julian and Gregorian calendars (wd:L2589-S1)
5. fourth  month in the Julian and Gregorian calendars (wd:L704-S1)
6. eleventh month in the Julian and Gregorian calendars (wd:L711-S1)
7. first month in the Julian and Gregorian calendars (wd:L2586-S1)
8. first month in the Julian and Gregorian calendars (wd:L701-S1)
9. eighth month in the Julian and Gregorian calendars (wd:L708-S1)
10. fifth month in the Julian and Gregorian calendars (wd:L705-S1)

[Assistant]
It appears that the search is still returning lexical entries rather than the actual entity representing the month July. Let's try a different approach by searching for the entity representing "month" and then filtering for the specific month July.

### Step 7: Search for the Entity Representing "Month"
I will use the `search_entity` function to find the entity representing "month" and then look for the specific month July.

[Tool]
Top 10 entity alternatives:
1. month, also known as months (wd:Q5151): irregular unit of time dividing a calendar year
2. The Month, also known as Month (wd:Q3988378): UK magazine
3. calendar month, also known as month (wd:Q47018901): one of generally twelve months of a specific calendar. Use with P31
4. calendar month of a given year, also known as year-month, calendar month, month (wd:Q47018478): month of a given year in Julian or Gregorian calendars
5. MONTH (wd:Q130565494): SPARQL function
6. Month (wd:L8176-S1)
7. Month (wd:L784191-S1)
8. Month (wd:L735639-S1)
9. Month (wd:L708280-S1)
10. Month (wd:L643115-S1)

[Assistant]
From the search results, the entity representing "month" in the context of a calendar is `wd:Q5151`. However, this is a general concept of a month. We need to find the specific month July.

### Step 8: Search for the Specific Month July
I will use the `search_entity` function again to find the specific entity representing the month July in the context of the Julian and Gregorian calendars.

[Tool]
Top 10 entity alternatives:
1. The month July (wd:Q22236949)
2. Labors of the Months: July, also known as Monthly pictures: The month of July (wd:Q125470748): painting by Hans Wertinger at the Germanisches Nationalmuseum, Nuremberg, Germany
3. Leo (The Month of July) (wd:Q21623570): painting by Peter Snijers
4. The Twelve Months: July (wd:Q80029842): print by Jan van de Velde (Dutch, 1620-1662) (1960.143.8)
5. Popular Science Monthly, July 1872 (wd:Q105336540): issue from first volume
6. Popular Science Monthly, July 1873 (wd:Q105437976): issue from third volume
7. Images of the month: July 2014 (wd:Q58925674): scientific article published in Nature
8. July 2012: This Month in JoVE (wd:Q57897090): article by Aaron Kolski-Andreaco published 1 July 2012 in Journal of Visualized Experiments
9. July 2009: This Month's Highlights (wd:Q86878852): scientific article published on 01 July 2009
10. The months july and august (wd:Q55409320): painting by Jan van den Hoecke, , Neue Burg, Sammlung alter Musikinstrumente

[Assistant]
It seems that the search results are still not providing the correct entity for the month July in the context of the Julian and Gregorian calendars. Let's try a more specific search by combining the terms "July" and "month" with "Gregorian" and "Julian" calendars.

### Step 9: Search for the Entity Representing the Month July in the Julian and Gregorian Calendars
I will use the `search_entity` function with a more specific query to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. July, seventh month on the Gregorian calendar (wd:L31484-S1)
2. month in the Julian and Gregorian calendars (wd:L8826-S1)
3. month in the Julian and Gregorian calendars (wd:L9048-S1)
4. fourth month in the Julian and Gregorian calendars (wd:L2589-S1)
5. fourth  month in the Julian and Gregorian calendars (wd:L704-S1)
6. eleventh month in the Julian and Gregorian calendars (wd:L711-S1)
7. first month in the Julian and Gregorian calendars (wd:L2586-S1)
8. first month in the Julian and Gregorian calendars (wd:L701-S1)
9. eighth month in the Julian and Gregorian calendars (wd:L708-S1)
10. fifth month in the Julian and Gregorian calendars (wd:L705-S1)

[Assistant]
It seems that the search is still returning lexical entries rather than the actual entity representing the month July. Let's try a different approach by searching for the entity representing "month" and then filtering for the specific month July using the `P31` (instance of) property.

### Step 10: Search for the Entity Representing "Month" and Filter for July
I will use the `search_entity` function to find the entity representing "month" and then filter for the specific month July using the `P31` property.

[Tool]
Top 10 entity alternatives:
1. month, also known as months (wd:Q5151): irregular unit of time dividing a calendar year
2. The Month, also known as Month (wd:Q3988378): UK magazine
3. calendar month, also known as month (wd:Q47018901): one of generally twelve months of a specific calendar. Use with P31
4. calendar month of a given year, also known as year-month, calendar month, month (wd:Q47018478): month of a given year in Julian or Gregorian calendars
5. MONTH (wd:Q130565494): SPARQL function
6. Month (wd:L8176-S1)
7. Month (wd:L784191-S1)
8. Month (wd:L735639-S1)
9. Month (wd:L708280-S1)
10. Month (wd:L643115-S1)

[Assistant]
From the search results, the entity representing "month" in the context of a calendar is `wd:Q5151`. Now, let's find the specific month July by filtering for the instance of `wd:Q5151` and checking if it has the label "July".

### Step 11: Find the Specific Month July
I will use the `search_entity` function to find the specific entity representing the month July and then verify it using the `rdfs:label` property.

[Tool]
Top 10 entity alternatives:
1. The month July (wd:Q22236949)
2. Labors of the Months: July, also known as Monthly pictures: The month of July (wd:Q125470748): painting by Hans Wertinger at the Germanisches Nationalmuseum, Nuremberg, Germany
3. Leo (The Month of July) (wd:Q21623570): painting by Peter Snijers
4. The Twelve Months: July (wd:Q80029842): print by Jan van de Velde (Dutch, 1620-1662) (1960.143.8)
5. Popular Science Monthly, July 1872 (wd:Q105336540): issue from first volume
6. Popular Science Monthly, July 1873 (wd:Q105437976): issue from third volume
7. Images of the month: July 2014 (wd:Q58925674): scientific article published in Nature
8. July 2012: This Month in JoVE (wd:Q57897090): article by Aaron Kolski-Andreaco published 1 July 2012 in Journal of Visualized Experiments
9. July 2009: This Month's Highlights (wd:Q86878852): scientific article published on 01 July 2009
10. The months july and august (wd:Q55409320): painting by Jan van den Hoecke, , Neue Burg, Sammlung alter Musikinstrumente

[Assistant]
It seems that the search results are still not providing the correct entity for the month July in the context of the Julian and Gregorian calendars. Let's try a more direct approach by constructing a SPARQL query to find the entity representing the month July and then find its super-classes.

### Step 12: Construct a SPARQL Query to Find the Entity Representing the Month July
I will construct a SPARQL query to find the entity representing the month July and then find its super-classes.

```sparql
SELECT DISTINCT ?july ?superClass
WHERE {
  ?july rdfs:label "July"@en ;
        wdt:P31 wd:Q5151 .
  ?july rdfs:subClassOf* ?superClass .
}
```

This query will:
1. Find the entity representing the month July with the label "July" and the instance of `wd:Q5151`.
2. Find all super-classes of this entity, including indirect super-classes.

Let's execute this query.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that there might be an issue with the way the entity representing the month July is structured in the knowledge graph. Let's try a different approach by searching for the entity representing the month July using a more specific property, such as the month number.

### Step 13: Search for the Entity Representing the Month July Using the Month Number
I will use the `search_entity` function to find the entity representing the month July by searching for the month number 7.

[Tool]
Top 10 entity alternatives:
1. July, also known as 7. month, Jul (wd:Q121): seventh month in the Julian and Gregorian calendars
2. 7th month, also known as qīyuè (wd:Q839027): seventh month of the Chinese calendar
3. 7 Months Pregnant, also known as Haft mahegi (wd:Q25424453): 2016 film by Hatef Alimardani
4. 7th lunar month (wd:L1258532-S1)
5. 7" of the Month Club (wd:Q3190713): album by NOFX
6. 7th, also known as 7th day of the month, 7th of the month, seventh, seventh day of a month, seventh day of the month (wd:Q11188306): seventh day of every month
7. 7 months in India (wd:Q54065275): scientific article published on January 1, 1973
8. Romance in the 7th Month (wd:Q122441878): 1994 Singaporean television film
9. Monthly Newsletters (NAID 7324101) (wd:Q66159844): series in the National Archives and Records Administration's holdings
10. Monthly Returns (NAID 7284861) (wd:Q66161265): series in the National Archives and Records Administration's holdings

[Assistant]
From the search results, the entity representing the month July in the context of the Julian and Gregorian calendars is `wd:Q121`.

### Step 14: Find the Super-Classes of the Entity Representing the Month July
Now that we have identified the correct entity for the month July, we can find its super-classes. We will use the `rdfs:subClassOf` property to find all super-classes, including indirect super-classes.

Let's construct and execute the SPARQL query to find the super-classes of `wd:Q121`.

```sparql
SELECT DISTINCT ?superClass
WHERE {
  wd:Q121 rdfs:subClassOf* ?superClass .
}
```

[Tool]
Got 1 row and 1 column:
| ?superClass    |
| -------------- |
| July (wd:Q121) |

[Assistant]
The query returned only the entity `wd:Q121` itself, which suggests that there are no explicit super-classes defined for the month July in the knowledge graph. This could mean that the month July is not classified under any higher-level classes in the ontology.

### Conclusion
Since the query did not return any super-classes other than the entity itself, it appears that the month July does not have any distinct super-classes in the context of the Julian and Gregorian calendars in the knowledge graph.

### Final Answer
The month July, the seventh month in the Julian and Gregorian calendars, does not have any distinct super-classes in the knowledge graph.

```sparql
SELECT DISTINCT ?superClass
WHERE {
  wd:Q121 rdfs:subClassOf* ?superClass .
}
```

The answer is that there are no distinct super-classes for July in the context of the Julian and Gregorian calendars.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?street ?femaleIndividual ?wwId WHERE {
  ?femaleIndividual wdt:P21 wd:Q6581072 .
  ?femaleIndividual wdt:P2533 ?wwId .
  ?street wdt:P138 ?femaleIndividual .
}

The streets named after female individuals who have an identifier in the Women Writers database, along with their Women Writers database IDs, are as follows:
- **Street**: Wollstonecraft (wd:Q15299294)
  - **Female Individual**: Mary Wollstonecraft (wd:Q101638)
  - **Women Writers ID**: d1bc2e72-283f-45b8-ade0-7d908b7a1762
- **Street**: 90481 Wollstonecraft (wd:Q2712584)
  - **Female Individual**: Mary Wollstonecraft (wd:Q101638)
  - **Women Writers ID**: d1bc2e72-283f-45b8-ade0-7d908b7a1762
- **Street**: Goldschmidtstraße (wd:Q99737742)
  - **Female Individual**: Henriette Goldschmidt (wd:Q101946)
  - **Women Writers ID**: 93822201-1cf0-4674-ace7-db1c616a53d8
- **Street**: Stowe (wd:Q15299394)
  - **Female Individual**: Harriet Beecher Stowe (wd:Q102513)
  - **Women Writers ID**: fe3fa376-209c-42c2-b4b9-a3c6fd376c53
- **Street**: Harris–Stowe State University (wd:Q5666316)
  - **Female Individual**: Harriet Beecher Stowe (wd:Q102513)
  - **Women Writers ID**: fe3fa376-209c-42c2-b4b9-a3c6fd376c53
- **Street**: Biblioteca Municipal Irene Lisboa (wd:Q72400235)
  - **Female Individual**: Irene Lisboa (wd:Q10303577)
  - **Women Writers ID**: 33ee318c-50f3-4804-a997-ce30b727fb9a
- **Street**: Rua Irene Lisboa (wd:Q85256063)
  - **Female Individual**: Irene Lisboa (wd:Q10303577)
  - **Women Writers ID**: 33ee318c-50f3-4804-a997-ce30b727fb9a
- **Street**: Praceta Maria Lamas (wd:Q85401943)
  - **Female Individual**: Maria Lamas (wd:Q10325967)
  - **Women Writers ID**: 40b30f81-e122-4ec2-ba3c-9b77bbedc61b
- **Street**: Escola Dolors Monserdà-Santapau (wd:Q111338460)
  - **Female Individual**: Dolors Monserdà i Vidal (wd:Q10418211)
  - **Women Writers ID**: 4964e65c-3a59-4f1a-905c-b67df17fc57b
- **Street**: wd:Q11942605
  - **Female Individual**: Dolors Monserdà i Vidal (wd:Q10418211)
  - **Women Writers ID**: 4964e65c-3a59-4f1a-905c-b67df17fc57b

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

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

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

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

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

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

[Assistant]
To answer this question, we need to identify the following elements:

1. **Female Individuals**: We need to find entities that represent female individuals.
2. **Women Writers Database Identifier**: We need to find the property that links these female individuals to their identifiers in the Women Writers database.
3. **Streets Named After These Individuals**: We need to find the property that indicates streets named after these individuals.

Let's start by searching for the property that links individuals to their Women Writers database identifiers.

### Step 1: Search for the Property Linking to Women Writers Database Identifiers
I will search for the property that links individuals to their Women Writers database identifiers.

[Tool]
Top 10 property alternatives:
1. WomenWriters ID, also known as NEWW Women Writers ID (wd:P2533 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for an entry in the Database of Canada's Early Women Writers
3. Collective Biographies of Women ID, also known as Collective Biographies of Women - person ID (wd:P4539 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for a person, in the Collective Biographies of Women database
4. AWARE ID, also known as Archives of Women Artists, Research and Exhibitions ID (wd:P6637 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for a female artist on the Archives of Women Artists, Research and Exhibitions
5. 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 prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for an author in The Literary Encyclopedia
6. Internet Book Database of Fiction writer ID (wd:P5365 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for a writer on the Internet Book Database of Fiction website
7. Catalan Biographical Dictionary of Women ID, also known as Diccionari Biogràfic de Dones, Biographical Dictionary of Women (Catalan ) ID (wd:P2498 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier in the biographical dictionary of Catalan women
8. Dictionnaire des femmes de l’ancienne France ID, also known as SiefarWiki, SiefarWikiEn (wd:P7962 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for an article in the Dictionnaire des Femmes de l'ancienne France
9. Encyclopedia of Jewish Women ID, also known as Jewish Women's Archive ID (wd:P9430 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): identifier for a woman in the Encyclopedia of Jewish Women
10. GRID ID, also known as Global Research Identifier Database identifier, grid global id, grid global research id, grid research id (wd:P2427 as prn/psn/pq/pr/wdt/prv/psv/pqv/pqn/p/ps/wdtn): institutional identifier from the GRID.ac global research identifier database

[Assistant]
The property that links individuals to their Women Writers database identifiers is `wd:P2533` (WomenWriters ID).

### Step 2: Find Female Individuals with Women Writers Database Identifiers
Next, we need to find female individuals who have this identifier. We can use the `wdt:P21` property to filter for females.

### Step 3: Find Streets Named After These Individuals
We need to find the property that indicates streets named after individuals. A common property for this is `wdt:P138` (named after).

Let's start by finding female individuals with Women Writers database identifiers.

#### Query to Find Female Individuals with Women Writers Database Identifiers
```sparql
SELECT ?femaleIndividual ?wwId
WHERE {
  ?femaleIndividual wdt:P21 wd:Q6581072 .  # Female
  ?femaleIndividual wdt:P2533 ?wwId .      # Women Writers ID
}
LIMIT 10
```

I will execute this query to see if we get the expected results.

[Tool]
Got 10 rows and 2 columns:
| ?femaleIndividual                        | ?wwId                                |
| ---------------------------------------- | ------------------------------------ |
| Märta Starnberg (wd:Q100983607)          | 1136ff55-371a-43ed-aa6e-2a45e0a042aa |
| Cecilia Deni (wd:Q101075369)             | 637d5ed9-ecf7-4829-9c5b-ba725c81c072 |
| Henriette Wulfsberg (wd:Q101421474)      | 0ccd0915-1eab-42c5-95f8-463ae5ad0e6e |
| Mary Wollstonecraft (wd:Q101638)         | d1bc2e72-283f-45b8-ade0-7d908b7a1762 |
| Valeska von Gallwitz (wd:Q101901)        | c2fcf6c7-9782-48b8-a1d8-0d251bbcf746 |
| Helene von Dönniges (wd:Q101930)         | 133192c0-06cd-4fe6-8bec-f7b411c28685 |
| Henriette Goldschmidt (wd:Q101946)       | 93822201-1cf0-4674-ace7-db1c616a53d8 |
| Karoline von Woltmann (wd:Q101957)       | 226287d1-9a31-402d-ad75-e15fe4273eb7 |
| Mademoiselle de Montmort (wd:Q102179156) | c495ff44-c99c-4b1a-be29-6ad38b301303 |
| Françoise Masquière (wd:Q102179180)      | 59b350d8-cf92-494b-a3a4-77a6ab94890a |

[Assistant]
We have successfully found female individuals with Women Writers database identifiers. Now, we need to find streets named after these individuals.

### Step 4: Find Streets Named After These Individuals
We will use the `wdt:P138` property to find streets named after these individuals. We will join the results from the previous query with this new query.

#### Query to Find Streets Named After Female Individuals with Women Writers Database Identifiers
```sparql
SELECT ?street ?femaleIndividual ?wwId
WHERE {
  ?femaleIndividual wdt:P21 wd:Q6581072 .  # Female
  ?femaleIndividual wdt:P2533 ?wwId .      # Women Writers ID
  ?street wdt:P138 ?femaleIndividual .     # Street named after the female individual
}
LIMIT 10
```

I will execute this query to see if we get the expected results.

[Tool]
Got 10 rows and 3 columns:
| ?street                                          | ?femaleIndividual                      | ?wwId                                |
| ------------------------------------------------ | -------------------------------------- | ------------------------------------ |
| Wollstonecraft (wd:Q15299294)                    | Mary Wollstonecraft (wd:Q101638)       | d1bc2e72-283f-45b8-ade0-7d908b7a1762 |
| 90481 Wollstonecraft (wd:Q2712584)               | Mary Wollstonecraft (wd:Q101638)       | d1bc2e72-283f-45b8-ade0-7d908b7a1762 |
| Goldschmidtstraße (wd:Q99737742)                 | Henriette Goldschmidt (wd:Q101946)     | 93822201-1cf0-4674-ace7-db1c616a53d8 |
| Stowe (wd:Q15299394)                             | Harriet Beecher Stowe (wd:Q102513)     | fe3fa376-209c-42c2-b4b9-a3c6fd376c53 |
| Harris–Stowe State University (wd:Q5666316)      | Harriet Beecher Stowe (wd:Q102513)     | fe3fa376-209c-42c2-b4b9-a3c6fd376c53 |
| Biblioteca Municipal Irene Lisboa (wd:Q72400235) | Irene Lisboa (wd:Q10303577)            | 33ee318c-50f3-4804-a997-ce30b727fb9a |
| Rua Irene Lisboa (wd:Q85256063)                  | Irene Lisboa (wd:Q10303577)            | 33ee318c-50f3-4804-a997-ce30b727fb9a |
| Praceta Maria Lamas (wd:Q85401943)               | Maria Lamas (wd:Q10325967)             | 40b30f81-e122-4ec2-ba3c-9b77bbedc61b |
| Escola Dolors Monserdà-Santapau (wd:Q111338460)  | Dolors Monserdà i Vidal (wd:Q10418211) | 4964e65c-3a59-4f1a-905c-b67df17fc57b |
| wd:Q11942605                                     | Dolors Monserdà i Vidal (wd:Q10418211) | 4964e65c-3a59-4f1a-905c-b67df17fc57b |

[Assistant]
We have successfully found streets named after female individuals who have identifiers in the Women Writers database. The query returns the streets, the female individuals, and their Women Writers database IDs.

### Final SPARQL Query
Here is the final SPARQL query that answers the question:

```sparql
SELECT ?street ?femaleIndividual ?wwId
WHERE {
  ?femaleIndividual wdt:P21 wd:Q6581072 .  # Female
  ?femaleIndividual wdt:P2533 ?wwId .      # Women Writers ID
  ?street wdt:P138 ?femaleIndividual .     # Street named after the female individual
}
```

### Answer
The streets named after female individuals who have an identifier in the Women Writers database, along with their Women Writers database IDs, are as follows:

- **Street**: Wollstonecraft (wd:Q15299294)
  - **Female Individual**: Mary Wollstonecraft (wd:Q101638)
  - **Women Writers ID**: d1bc2e72-283f-45b8-ade0-7d908b7a1762

- **Street**: 90481 Wollstonecraft (wd:Q2712584)
  - **Female Individual**: Mary Wollstonecraft (wd:Q101638)
  - **Women Writers ID**: d1bc2e72-283f-45b8-ade0-7d908b7a1762

- **Street**: Goldschmidtstraße (wd:Q99737742)
  - **Female Individual**: Henriette Goldschmidt (wd:Q101946)
  - **Women Writers ID**: 93822201-1cf0-4674-ace7-db1c616a53d8

- **Street**: Stowe (wd:Q15299394)
  - **Female Individual**: Harriet Beecher Stowe (wd:Q102513)
  - **Women Writers ID**: fe3fa376-209c-42c2-b4b9-a3c6fd376c53

- **Street**: Harris–Stowe State University (wd:Q5666316)
  - **Female Individual**: Harriet Beecher Stowe (wd:Q102513)
  - **Women Writers ID**: fe3fa376-209c-42c2-b4b9-a3c6fd376c53

- **Street**: Biblioteca Municipal Irene Lisboa (wd:Q72400235)
  - **Female Individual**: Irene Lisboa (wd:Q10303577)
  - **Women Writers ID**: 33ee318c-50f3-4804-a997-ce30b727fb9a

- **Street**: Rua Irene Lisboa (wd:Q85256063)
  - **Female Individual**: Irene Lisboa (wd:Q10303577)
  - **Women Writers ID**: 33ee318c-50f3-4804-a997-ce30b727fb9a

- **Street**: Praceta Maria Lamas (wd:Q85401943)
  - **Female Individual**: Maria Lamas (wd:Q10325967)
  - **Women Writers ID**: 40b30f81-e122-4ec2-ba3c-9b77bbedc61b

- **Street**: Escola Dolors Monserdà-Santapau (wd:Q111338460)
  - **Female Individual**: Dolors Monserdà i Vidal (wd:Q10418211)
  - **Women Writers ID**: 4964e65c-3a59-4f1a-905c-b67df17fc57b

- **Street**: wd:Q11942605
  - **Female Individual**: Dolors Monserdà i Vidal (wd:Q10418211)
  - **Women Writers ID**: 4964e65c-3a59-4f1a-905c-b67df17fc57b

I will now provide the final answer.

[Tool] Stopped generation process