PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?person ) AS ?count ) WHERE {
  ?person wdt:P21 wd:Q6581072 ; wdt:P19 wd:Q668 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 393    |

[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] How many women were born in India?

[Assistant]
To answer the question "How many women were born in India?", we need to identify the relevant entities and properties in the knowledge graph:

1. **Women**: We need to find entities that are classified as women.
2. **Born in India**: We need to find entities that have India as their place of birth.

Let's start by identifying the relevant properties and entities:

- The property for "place of birth" is `wdt:P19`.
- The entity for "India" is `wd:Q668`.
- The property for "sex or gender" is `wdt:P21`.
- The entity for "female" is `wd:Q6581072`.

We will use these to construct our SPARQL query.

### Step 1: Identify the relevant properties and entities
Let's confirm the properties and entities using the `list` function.

#### Confirm the property for "place of birth"

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                 | object                 |
| ------------------------------------------------- | ------------------------ | ---------------------- |
| Hugh Meade Alcorn, Jr. (wd:Q1000154)              | place of birth (wdt:P19) | United States (wd:Q30) |
| Tuncay Güneş (wd:Q100587861)                      | place of birth (wdt:P19) | Turkey (wd:Q43)        |
| wd:Q100147889                                     | place of birth (wdt:P19) | Russia (wd:Q159)       |
| Sanjūrō (wd:Q100451536)                           | place of birth (wdt:P19) | Japan (wd:Q17)         |
| Davide Furlan (wd:Q100276957)                     | place of birth (wdt:P19) | Italy (wd:Q38)         |
| Jochen Möckelmann (wd:Q100138651)                 | place of birth (wdt:P19) | Germany (wd:Q183)      |
| Jacqueline Goddet (wd:Q100148353)                 | place of birth (wdt:P19) | France (wd:Q142)       |
| wd:Q101541626                                     | place of birth (wdt:P19) | Finland (wd:Q33)       |
| José Rodolfo Villarreal Hernández (wd:Q100340209) | place of birth (wdt:P19) | Mexico (wd:Q96)        |
| Dharmakṣema (wd:Q1002321)                         | place of birth (wdt:P19) | India (wd:Q668)        |
| ...                                               | ...                      | ...                    |

[Assistant]
The property `wdt:P19` for "place of birth" is confirmed, and it includes entities born in India.

#### Confirm the property for "sex or gender"

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                | object                      |
| ----------------------------------- | ----------------------- | --------------------------- |
| Mahatma Gandhi (wd:Q1001)           | sex or gender (wdt:P21) | male (wd:Q6581097)          |
| wd:Q100144332                       | sex or gender (wdt:P21) | male organism (wd:Q44148)   |
| Makybe Diva (wd:Q1001792)           | sex or gender (wdt:P21) | female organism (wd:Q43445) |
| Rachel Carson (wd:Q100948)          | sex or gender (wdt:P21) | female (wd:Q6581072)        |
| Bianca Von Krieg (wd:Q100151996)    | sex or gender (wdt:P21) | transgender (wd:Q189125)    |
| Marie Le Marcis (wd:Q100154384)     | sex or gender (wdt:P21) | intersex (wd:Q1097630)      |
| Ray Shipley (wd:Q100251340)         | sex or gender (wdt:P21) | non-binary (wd:Q48270)      |
| Porpora Marcasciano (wd:Q100151573) | sex or gender (wdt:P21) | trans woman (wd:Q1052281)   |
| Tylan Grant (wd:Q100138685)         | sex or gender (wdt:P21) | trans man (wd:Q2449503)     |
| Rosa Chemical (wd:Q100268282)       | sex or gender (wdt:P21) | agender (wd:Q505371)        |
| ...                                 | ...                     | ...                         |

[Assistant]
The property `wdt:P21` for "sex or gender" is confirmed, and it includes entities classified as female.

### Step 2: Construct the SPARQL query
Now that we have confirmed the relevant properties and entities, we can construct the SPARQL query to count the number of women born in India.

```sparql
SELECT (COUNT(?person) AS ?count)
WHERE {
  ?person wdt:P21 wd:Q6581072 ;  # Female
         wdt:P19 wd:Q668 .      # Born in India
}
```

Let's execute this query to get the count.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 393    |

[Assistant]
The SPARQL query has returned the count of women born in India. According to the query results, there are 393 women born in India.

### Final Answer
The number of women born in India is 393.

[Tool] Stopped generation process


Failed to generate SPARQL query

[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 20 most common properties, excluding external IDs, for television series on Moroccan Arabic Wikipedia (https://ary.wikipedia.org/), and what percentage of television series have each property?

[Assistant] To answer this question, we need to identify the properties that are commonly used for television series on Moroccan Arabic Wikipedia and calculate the percentage of television series that have each property. We will start by finding the entity representing Moroccan Arabic Wikipedia and the property for television series. Then, we will list the properties used for television series on Moroccan Arabic Wikipedia and filter out external IDs. Finally, we will count the occurrences of each property and calculate the percentages.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Moroccan Arabic Wikipedia, also known as arywiki, Wikipedia in Darija, ary.wikipedia.org (wd:Q97393767): Moroccan Arabic-language edition of Wikipedia
2. Arabic Wikipedia, also known as arawiki, arwiki, arwikipedia, ar.wikipedia.org, arwp (wd:Q199700): Arabic-language edition of Wikipedia
3. Moroccan Arabic, also known as Moroccan Vernacular Arabic, Darija, Moroccan Arabic language (wd:Q56426): Maghrebi dialect of the Arabic language spoken in Morocco
4. Egyptian Arabic Wikipedia, also known as Egyptian Wikipedia, arzwp, arz.wikipedia.org, arzwikipedia, arzwiki (wd:Q2374285): Egyptian Arabic-language version of Wikipedia
5. Moroccan Amazigh Wikipedia, also known as Standard Moroccan Amazigh Wikipedia, zghwiki, zgh.wikipedia.org (wd:Q123352442): Moroccan Amazigh language edition of Wikipedia
6. Moroccan Darija dictionary, also known as Moroccan Arabic dictionary (wd:Q115182612): Dictionary of containing Moroccan  Darija words and their meanings
7. 2023 Arabic Wikipedia protest (wd:Q123989156)
8. Main page/ary, also known as Moroccan Arabic main page, main page ary (wd:Q105890335): Wikimedia multilingual project main page in Moroccan Arabic
9. Moroccan Arabic in Arabic script, also known as ary-Arab (wd:Q107198008)
10. WikiProject collaboration with Arabic Wikipedia, also known as WikiProject Arabic (wd:Q21829387): Wikimedia subject-area collaboration

No other items found

[Assistant] From the search results, we can see that the entity representing Moroccan Arabic Wikipedia is Q97393767. Now, let's find the property for television series. We will search for "television series" and look for a property that indicates the type of content on Moroccan Arabic Wikipedia.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. Television series (wd:Q53702009): scientific article
3. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
4. television series (wd:L501100-S2)
5. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
6. news broadcasting, also known as news channel, television broadcasting of news, news television series (wd:Q1962634): news published over radio or television
7. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
8. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
9. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre
10. drama television series, also known as TV drama series, television drama series, drama TV series, drama series, dramatic television series (wd:Q1366112): television series genre

No other items found

[Assistant]
From the search results, the entity representing "television series" is Q5398426. Now, we need to find the property that links articles on Moroccan Arabic Wikipedia to their corresponding television series. We will search for properties that link articles to Q5398426.

Let's list the properties used for television series on Moroccan Arabic Wikipedia (Q97393767) and filter out external IDs. We will then count the occurrences of each property and calculate the percentages.

First, we need to find the property that links articles on Moroccan Arabic Wikipedia to their corresponding television series. We will search for properties that link articles to Q5398426.

Let's start by listing the properties used for television series on Moroccan Arabic Wikipedia.