PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?language WHERE {
  wd:Q30 wdt:P37 ?language
}

The United States of America does not have any officially declared national languages at the federal level, though English is the de facto national language. The data in Wikidata lists English as an official language, but this does not reflect the legal status at the federal level.

[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 official languages does the united states of america have?

[Assistant]
To answer the question about the number of official languages in the United States of America, we need to identify the relevant entities and properties in the knowledge graph.

First, let's search for the entity representing the United States of America.

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. Istadus Unidus the America, also known as United States of America (wd:Q29045433): Wikimedia permanent duplicate item
3. United States of America (wd:Q100270731): scholarly article
4. United States of America (wd:Q103971355): encyclopedic article; Grove Art Online
5. United States of America (wd:Q105870683): vocal track by Kikki Danielsson; 1980 studio recording
6. United States of America (wd:Q105870692): song written and composed by Donna Fargo, originally recorded by Donna Fargo and released in 1974
7. United States of America (wd:Q106315054): vocal track by Donna Fargo; 1974 studio recording
8. United States of America, also known as Star Trek USA, USA (wd:Q99281400): country of the United States of America as depicted in Star Trek
9. United States of America (wd:L350484-S1)
10. United States (of America) (wd:L399000-S1)

[Assistant] The correct entity for the United States of America is `wd:Q30`. Next, we need to find the property that indicates the official language(s) of a country. Let's search for properties related to "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property `wd:P37` (official language) seems to be the most appropriate for our query. Now, let's check if the United States of America (`wd:Q30`) has any values for this property.

We will execute a SPARQL query to find the official languages of the United States of America.

[Tool]
Got 1 row and 1 column:
| language           |
| ------------------ |
| English (wd:Q1860) |

[Assistant]
The SPARQL query returned one official language for the United States of America, which is English (`wd:Q1860`). However, it is important to note that the United States does not have an officially designated national language at the federal level, but English is often considered the de facto national language.

To provide a clear and accurate answer, we can state that the United States of America has one de facto official language, which is English.

Here is the final SPARQL query and answer:

```sparql
SELECT ?language WHERE { wd:Q30 wdt:P37 ?language }
```

Answer: The United States of America has one de facto official language, which is English.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer provided is partially correct, but it could be more precise. The United States does not have an officially declared national language at the federal level, though English is the de facto national language. However, the SPARQL query should reflect this more accurately. The query should check if the United States has any official languages and return the count, rather than just listing the language. Additionally, the answer should clarify that English is the de facto official language, but not officially declared at the federal level.

[Assistant]
Thank you for the feedback. To refine the answer, we will modify the SPARQL query to count the number of official languages for the United States of America and clarify that English is the de facto official language, but not officially declared at the federal level.

Let's update the SPARQL query to count the number of official languages and then provide a more precise answer.

### Updated SPARQL Query
```sparql
SELECT (COUNT(?language) AS ?count) WHERE { wd:Q30 wdt:P37 ?language }
```

### Expected Answer
The United States of America has 0 officially declared national languages at the federal level, though English is the de facto national language.

Let's execute the updated SPARQL query and provide the refined answer.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

[Assistant]
The SPARQL query returned a count of 1 for the official languages of the United States of America. However, it is important to clarify that while English is listed as an official language in some contexts, the United States does not have an officially declared national language at the federal level.

To provide a more precise and accurate answer, we will clarify this in the final response.

### Final SPARQL Query
```sparql
SELECT (COUNT(?language) AS ?count) WHERE { wd:Q30 wdt:P37 ?language }
```

### Final Answer
The United States of America has 0 officially declared national languages at the federal level, though English is the de facto national language.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is incorrect because it returns a count of 1, which contradicts the human-readable answer stating that the United States has 0 officially declared national languages at the federal level. The property `wdt:P37` is used to denote official languages, but the United States does not have any languages listed under this property at the federal level. The query should correctly reflect that there are no official languages at the federal level.

[Assistant]
Thank you for the feedback. It appears that the SPARQL query is returning a count of 1, which is incorrect given the context that the United States does not have any officially declared national languages at the federal level. We need to ensure that the query correctly reflects this.

Let's re-examine the data and verify if there are any official languages listed for the United States of America at the federal level. If the query returns no results, we can conclude that there are no officially declared national languages.

### Updated SPARQL Query
```sparql
SELECT ?language WHERE { wd:Q30 wdt:P37 ?language }
```

### Expected Result
We expect this query to return no results, confirming that there are no officially declared national languages at the federal level.

Let's execute this query to verify.

[Tool]
Got 1 row and 1 column:
| language           |
| ------------------ |
| English (wd:Q1860) |

[Assistant]
The query returned one result, indicating that English is listed as an official language for the United States of America. However, this is misleading because the United States does not have an officially declared national language at the federal level. This discrepancy suggests that the data in Wikidata might not accurately reflect the legal status of the United States regarding official languages.

To provide a more accurate and clear answer, we need to clarify that while English is listed in Wikidata as an official language, it is not officially declared at the federal level. We can also include this clarification in the SPARQL query results.

### Final SPARQL Query
```sparql
SELECT ?language WHERE { wd:Q30 wdt:P37 ?language }
```

### Final Answer
The United States of America does not have any officially declared national languages at the federal level, though English is the de facto national language. The data in Wikidata lists English as an official language, but this does not reflect the legal status at the federal level.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q183 wdt:P2046 ?germanyArea .
  wd:Q36 wdt:P2046 ?polandArea .
  FILTER ( ?germanyArea > ?polandArea )
}

True

[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] Is Germany bigger than Poland?

[Assistant] To answer the question "Is Germany bigger than Poland?", we need to compare the area of Germany and Poland. Let's start by identifying the entities for Germany and Poland and then look for the property that represents the area of a country.

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Assistant] The correct entity for Germany is `wd:Q183`. Now let's find the entity for Poland.

[Tool]
Top 10 entity alternatives:
1. Poland, also known as Republic of Poland (wd:Q36): country in Central Europe
2. Polish–Lithuanian Commonwealth, also known as Commonwealth of Poland, First Republic of Poland, Poland, Poland-Lithuania, Poland–Lithuania (wd:Q172107): historical multinational monarchist state in Central Europe (Crown of the Kingdom of Poland and the Grand Duchy of Lithuania)
3. Crown of the Kingdom of Poland, also known as Kingdom of Poland, Poland (wd:Q171348): 1385–1795 territorial possessions of the King of Poland
4. Poland, also known as Poland, OH, Poland, Ohio (wd:Q2300093): village in Ohio, United States
5. Poland, also known as Poland, Maine, Poland, ME (wd:Q1572109): town in Androscoggin County, Maine, United States
6. Polish, also known as Poland (wd:Q385059): breed of chicken
7. Poland, also known as Boran (wd:Q5763870): village in Kiribati
8. Poland, also known as Poland, Chautauqua County, New York, Poland, New York, Poland, NY (wd:Q7208883): town in Chautauqua County, New York, United States
9. Poland, also known as Poland, Herkimer County, New York, Poland, NY (wd:Q7208887): village in Herkimer County, New York, United States
10. Poland - The Warsaw Concert, also known as Poland (wd:Q599300): album by Tangerine Dream

[Assistant] The correct entity for Poland is `wd:Q36`. Next, we need to find the property that represents the area of a country.

[Tool]
Top 10 property alternatives:
1. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): area occupied by an object
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): specialization of a person or organization; see P106 for the occupation, interested in
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): part, aspect, or form of the item to which the claim applies
4. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. water area (wd:P8887 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): area/surface of a geographical entity that is covered by water, area
7. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): item of special or vested interest to this person or organisation
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)

[Assistant] The property that represents the area of a country is `wd:P2046`. Now, let's construct a SPARQL query to compare the areas of Germany (`wd:Q183`) and Poland (`wd:Q36`).

[Tool]
Got 1 row and 2 columns:
| germanyArea          | polandArea           |
| -------------------- | -------------------- |
| 357588 (xsd:decimal) | 312683 (xsd:decimal) |

[Assistant]
The area of Germany is 357,588 square kilometers, and the area of Poland is 312,683 square kilometers. Therefore, Germany is indeed bigger than Poland.

Here is the final SPARQL query and the answer:

```sparql
ASK WHERE {
  wd:Q183 wdt:P2046 ?germanyArea .
  wd:Q36 wdt:P2046 ?polandArea .
  FILTER(?germanyArea > ?polandArea)
}
```

The answer is "True".

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correctly formulated as an ASK query and accurately compares the areas of Germany and Poland using the appropriate entities and property. The execution result is True, which is the correct answer to the question.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?occupation ) AS ?count ) WHERE {
  wd:Q7245 wdt:P106 ?occupation .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 12 (xsd:int) |

[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 occupations did Mark Twain have?

[Assistant] To answer the question about how many occupations Mark Twain had, we need to identify the entity for Mark Twain and the property for occupation. Let's start by searching for the entity "Mark Twain" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Mark Twain, also known as Samuel L. Clemens, Samuel Langhorne Clemens, Quintus Curtius Snodgrass, Samuel Clemens (wd:Q7245): American author and humorist (1835–1910), science fiction writer, opinion journalist, children's writer, autobiographer, travel writer, prose writer, journalist, humorist, novelist, aphorist, teacher, writer
2. 2362 Mark Twain, also known as Mark Twain (wd:Q959983): asteroid
3. Mark Twain (wd:Q6770075): crater on Mercury
4. Mark Twain (wd:Q6770076): 2001 documentary film on the life of Mark Twain directed by Ken Burns
5. Mark Twain (wd:Q66716403): 1873 article in Cartoon portraits and biographical sketches of men of the day
6. Mark Twain, also known as Mark Twain, St. Louis (wd:Q6770071): neighborhood of St. Louis, Missouri, United States
7. Rosa 'Mark Twain', also known as Mark Twain (wd:Q83668756): rose cultivar
8. Mark Twain (wd:Q116958637): bronze sculpture by unidentified artist
9. Mark Twain (wd:Q20174185): painting by Charles Noel Flagg
10. Mark Twain (wd:Q79493007): print by Samuel Johnson Woolf (American, 1880-1948) (1920.11)

[Assistant] The top result for "Mark Twain" is the correct entity, which is `wd:Q7245`. Now, let's find the property for occupation. We can search for the property "occupation" in Wikidata.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property for occupation is `wd:P106`. Now, let's construct a SPARQL query to find out how many occupations Mark Twain had. We will count the distinct values of the occupation property for the entity `wd:Q7245`.

Here is the initial SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?occupation) AS ?count)
WHERE {
  wd:Q7245 wdt:P106 ?occupation .
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 12 (xsd:int) |

[Assistant]
The SPARQL query returned that Mark Twain had 12 distinct occupations.

Therefore, the answer to the question "How many occupations did Mark Twain have?" is 12.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(DISTINCT ?occupation) AS ?count)
WHERE {
  wd:Q7245 wdt:P106 ?occupation .
}
```

Answer: 12

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected result. It counts the distinct occupations of Mark Twain, which is 12 according to the provided execution result. No further refinements are necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?placeOfBirth WHERE {
  wd:Q183883 wdt:P50 ?author .
  ?author wdt:P19 ?placeOfBirth .
}

Got 1 row and 1 column:
| placeOfBirth           |
| ---------------------- |
| New York City (wd:Q60) |

New York City (wd:Q60)

[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] Where was the author of The Catcher in the Rye born ?

[Assistant]
To answer the question "Where was the author of The Catcher in the Rye born?", we need to identify the following:

1. The author of "The Catcher in the Rye".
2. The place of birth of the author.

Let's start by finding the entity for "The Catcher in the Rye" and then identify its author.

[Tool]
Top 10 entity alternatives:
1. The Catcher in the Rye, also known as Catcher in the Rye (wd:Q183883): 1951 novel by J. D. Salinger
2. Catcher in the Rye (wd:Q5051738): Chinese punk rock band
3. Catcher In the Rye (wd:Q16184712): 2011 EP by Datarock
4. Catcher in the Rye (wd:Q110065569): 2021 single by Ross Jennings
5. Catcher in the Rye (wd:Q10443835): song by Guns N' Roses
6. The Catcher in the Rye (wd:Q16689546): 2012 debut studio album by Ann
7. The Catcher in the Rye (wd:Q125291968): 2001 Back Bay edition
8. Catchers in the rye (wd:Q68693473): scientific article published on 01 January 1990
9. The Catcher in the Rye in popular culture (wd:Q7721703): Influence of J.D. Salinger's 1951 novel
10. The Catcher in the Rye in popular culture (wd:Q7721703): Influence of J.D. Salinger's 1951 novel

[Assistant]
The top result for "The Catcher in the Rye" is the correct one, which is the 1951 novel by J. D. Salinger (wd:Q183883). Now, let's find the author of this novel.

I will use the `list` function to find the author of the novel "The Catcher in the Rye".

[Tool]
Got 1 row and 3 columns:
| subject                             | property         | object                     |
| ----------------------------------- | ---------------- | -------------------------- |
| The Catcher in the Rye (wd:Q183883) | author (wdt:P50) | J. D. Salinger (wd:Q79904) |

[Assistant]
The author of "The Catcher in the Rye" is J. D. Salinger (wd:Q79904). Next, we need to find the place of birth of J. D. Salinger.

I will use the `list` function to find the place of birth of J. D. Salinger.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                 | object                 |
| -------------------------- | ------------------------ | ---------------------- |
| J. D. Salinger (wd:Q79904) | place of birth (wdt:P19) | New York City (wd:Q60) |

[Assistant]
J. D. Salinger was born in New York City (wd:Q60).

Now, let's construct the final SPARQL query to answer the question "Where was the author of The Catcher in the Rye born?".

The query will:
1. Identify the author of "The Catcher in the Rye".
2. Find the place of birth of the author.

Here is the SPARQL query:

```sparql
SELECT ?placeOfBirth
WHERE {
  wd:Q183883 wdt:P50 ?author .
  ?author wdt:P19 ?placeOfBirth .
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 1 column:
| placeOfBirth           |
| ---------------------- |
| New York City (wd:Q60) |

[Assistant]
The SPARQL query confirms that the author of "The Catcher in the Rye," J. D. Salinger, was born in New York City (wd:Q60).

Therefore, the answer to the question "Where was the author of The Catcher in the Rye born?" is:

New York City.

Here is the final SPARQL query and answer:

```sparql
SELECT ?placeOfBirth
WHERE {
  wd:Q183883 wdt:P50 ?author .
  ?author wdt:P19 ?placeOfBirth .
}
```

Answer: New York City (wd:Q60)

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the place of birth of the author of The Catcher in the Rye, which is New York City (wd:Q60).


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q213849 wdt:P576 ?dissolutionDate
}

False

[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] Does the ATI Company still exist?

[Assistant]
To determine if the ATI Company still exists, we need to find the entity for ATI Company and then check if it has a property indicating its current status, such as "dissolved" or "active."

First, let's search for the entity "ATI Company" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. company, also known as co., firm (wd:Q783794): legal entity representing an association of people, whether natural, legal or a mixture of both, with a specific objective
2. company, also known as company (military unit), military company (wd:Q102538): military unit size designation
3. enterprise, also known as business enterprise, firm, company (wd:Q6881511): organizational unit producing goods or services, which benefits ...n-making, especially for the allocation of its current resources
4. Ati (wd:Q755791): city
5. Aashaadha, also known as Ashadha, Āṭi (wd:Q1105198): month in Hindu calender
6. Artigas Airport, also known as ATI, SUAG (wd:Q1430852): airport
7. Company (wd:Q225093): 2002 film directed by Ram Gopal Varma
8. Company (wd:Q2915810): 1970 musical comedy by Stephen Sondheim
9. Company (wd:Q23723998): 2016 single by Justin Bieber
10. Ati, also known as Ati language, Ati (Philippines) (wd:Q3217458): Malayo-Polynesian language spoken and native to the Ati people of Panay

[Assistant]
None of the top 10 results seem to match the ATI Company specifically. Let's try a more targeted search by including "Advanced Micro Devices" or "AMD" in the query, as ATI was acquired by AMD.

Let's search for "ATI Advanced Micro Devices" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. AMD, also known as Advanced Micro Devices (wd:Q128896): American multinational semiconductor company
2. AMD (United Kingdom), also known as Advanced Micro Devices (wd:Q56583608): company in Milton Keynes, United Kingdom
3. history of Advanced Micro Devices, also known as Advanced Micro Devices history, history (Advanced Micro Devices), history (Advanced Micro Devices, Inc.), history (AMD), history of Advanced Micro Devices, Inc. (wd:Q1516304): aspect of history
4. Advanced Micro Devices (Canada) (wd:Q28971311)
5. Advanced Micro Devices Campus (wd:Q107317438): campus at 504 E. Ben White Blvd. Austin, Texas
6. Advanced Micro Devices, Inc. v. Intel Corp., also known as AMD v. Intel (wd:Q4652597): legal case in the United States
7. Intel Corp. v. Advanced Micro Devices, Inc. (wd:Q15147971): 2004 United States Supreme Court case
8. Microplasmas for Advanced Materials and Devices (wd:Q92107061): scientific article published on 18 December 2019
9. Microfluidic Devices in Advanced Caenorhabditis elegans Research (wd:Q26739057): scientific article
10. Micro/Nanofabrication and Charac...f Advanced Materials and Devices (wd:Q127303461): scholarly article

[Assistant]
The top result, `wd:Q128896`, corresponds to Advanced Micro Devices (AMD). Since ATI was acquired by AMD, we can use this entity to check if ATI still exists as a separate entity or if it is now part of AMD.

Let's check if there is any information about ATI being a subsidiary or division of AMD. We can look for properties like "subsidiary" or "division" to see if ATI is mentioned.

First, let's list the properties of `wd:Q128896` to see if there is any mention of ATI.

[Tool]
Got 769 rows and 3 columns, showing the first 10 rows below:
| subject          | property                    | object                                                                                |
| ---------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
| AMD (wd:Q128896) | instance of (wdt:P31)       | business (wd:Q4830453)                                                                                |
| AMD (wd:Q128896) | country (wdt:P17)           | United States (wd:Q30)                                                                                |
| AMD (wd:Q128896) | Commons category (wdt:P373) | AMD                                                                                |
| AMD (wd:Q128896) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/2485%20Augustine%20Drive%20headquarters%20in%20Santa%20Clara%2C%20California.jpg> |
| AMD (wd:Q128896) | part of (wdt:P361)          | S&P 500 (wd:Q242345)                                                                                |
| AMD (wd:Q128896) | inception (wdt:P571)        | 1969-05-01T00:00:00Z (xsd:dateTime)                                                                                |
| AMD (wd:Q128896) | described at URL (wdt:P973) | <http://www.fundinguniverse.com/company-histories/advanced-micro-devices-inc-history/>                                                |
| AMD (wd:Q128896) | official name (wdt:P1448)   | Advanced Micro Devices Inc. (en)                                                                                |
| AMD (wd:Q128896) | official website (wdt:P856) | <https://www.amd.com/>                                                                                |
| AMD (wd:Q128896) | follows (wdt:P155)          | ATI Technologies (wd:Q213849)                                                                                |
| ...              | ...                         | ...                                                                                |

[Assistant]
From the list of properties, we can see that `wd:Q128896` (AMD) has a property `follows (wdt:P155)` with the object `ATI Technologies (wd:Q213849)`. This indicates that ATI Technologies was acquired by AMD.

Next, let's check the properties of `wd:Q213849` (ATI Technologies) to see if it has any information about its current status, such as whether it still exists as a separate entity or if it is now part of AMD.

Let's list the properties of `wd:Q213849`.

[Tool]
Got 302 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | ------------------------------------------------------------------------------------- |
| ATI Technologies (wd:Q213849) | instance of (wdt:P31)            | business (wd:Q4830453)                                                                |
| ATI Technologies (wd:Q213849) | country (wdt:P17)                | Canada (wd:Q16)                                                                       |
| ATI Technologies (wd:Q213849) | Commons category (wdt:P373)      | ATI Technologies                                                                      |
| ATI Technologies (wd:Q213849) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Atitechnologiessiliconvalley.jpg> |
| ATI Technologies (wd:Q213849) | inception (wdt:P571)             | 1985-08-01T00:00:00Z (xsd:dateTime)                                                   |
| ATI Technologies (wd:Q213849) | official name (wdt:P1448)        | ATI Technologies Inc. (en)                                                            |
| ATI Technologies (wd:Q213849) | official website (wdt:P856)      | <http://www.ati.com/>                                                                 |
| ATI Technologies (wd:Q213849) | different from (wdt:P1889)       | ATI Systems (wd:Q76809554)                                                            |
| ATI Technologies (wd:Q213849) | owned by (wdt:P127)              | AMD (wd:Q128896)                                                                      |
| ATI Technologies (wd:Q213849) | headquarters location (wdt:P159) | Markham (wd:Q44016)                                                                   |
| ...                           | ...                              | ...                                                                                |

[Assistant]
From the properties of `wd:Q213849` (ATI Technologies), we can see that it has a property `owned by (wdt:P127)` with the object `AMD (wd:Q128896)`. This indicates that ATI Technologies is owned by AMD.

However, to determine if ATI Technologies still exists as a separate entity, we need to check if it has a property indicating its dissolution or if it is still active. Let's search for properties related to "dissolution" or "status" for `wd:Q213849`.

Let's search for properties related to "dissolution" or "status" for `wd:Q213849`.

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdt/p): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. legal form, also known as legal structure, structured as (wd:P1454 as wdt/p): legal form of an entity, instance of
3. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt/p): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
7. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdt/p): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. replaced by, also known as heir, superseded by, successor, succeeded by, next job holder (wd:P1366 as wdt/p): other person or item which continues the item by replacing it in... nor identical, but adds to the series (e.g. books in a series)., followed by
10. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL

No other items found

[Assistant]
From the search results, we can see that the property `dissolved, abolished or demolished date (wdt:P576)` is relevant to our query. Let's check if `wd:Q213849` (ATI Technologies) has this property.

We will execute a SPARQL query to check if ATI Technologies has a dissolution date.

[Tool] True

[Assistant]
The SPARQL query returned `True`, indicating that ATI Technologies does have a dissolution date. This means that ATI Technologies no longer exists as a separate entity and is now part of AMD.

Therefore, the answer to the question "Does the ATI Company still exist?" is **False**.

Let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly checks for the existence of a dissolution date for ATI Technologies (wd:Q213849). Since the execution result is True, it means that ATI Technologies has a recorded dissolution date, indicating that the company no longer exists. The answer 'False' is therefore correct.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q1779 wdt:P1303 ?instrument .
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel .
    FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| instrument           | instrumentLabel |
| -------------------- | --------------- |
| voice (wd:Q17172850) | voice (en)      |
| cornet (wd:Q202027)  | cornet (en)     |
| trumpet (wd:Q8338)   | trumpet (en)    |

Louis Armstrong played the following instruments: voice, cornet, and trumpet.

[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 instruments did Louis Armstrong play?

[Assistant] To answer the question about the instruments played by Louis Armstrong, we need to identify the entity for Louis Armstrong and the property that links him to the instruments he played. Let's start by searching for the entity representing Louis Armstrong in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Louis Armstrong, also known as Satchelmouth, Satch, Satchmo, Louis Daniel Armstrong, Dipper (wd:Q1779): American jazz musician, trumpeter and singer (1901–1971), film score composer, radio personality, recording artist, jazz musician, street artist, film actor, songwriter, bandleader, trumpeter, conductor, writer, singer, actor
2. Louis Armstrong (wd:Q98823980): photograph by Lisette Model (MET, 2019.33)
3. Louis Armstrong (wd:Q132754304): online exhibition from Louis Armstrong House and Archives, Queens College, City University of New York
4. Louis Armstrong (wd:Q100721665): college basketball player (1991–1992) Northern Iowa, basketball player
5. Louis Armstrong Stadium (wd:Q1029132): tennis venue in New York City from 1978 to 2016
6. Louis Armstrong Park (wd:Q931042): park in New Orleans, Louisiana, U.S.
7. Louis Armstrong House, also known as Louis Armstrong House Museum (wd:Q6686652): NY location listed on National Register of Historic Places
8. Louise Armstrong (wd:Q6688616): American writer and feminist, human rights activist, children's writer, writer
9. Louis Armstrong Stadium (wd:Q47487977): tennis stadium opened in 2018, replacing a 1978 venue of the same name
10. Louis Armstrong Jazzfesztivál (wd:Q65218436)

[Assistant] The top result for Louis Armstrong is the correct one (wd:Q1779). Now, let's find the property that links Louis Armstrong to the instruments he played. We can search for properties related to "instrument" or "played" for the entity Louis Armstrong.

[Tool]
Top 10 property alternatives:
1. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as wdt/p): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)
5. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
6. Pitchfork artist ID, also known as Pitchfork, Pitchfork ID (wd:P8819 as wdt/p): identifier for musical artists on the Pitchfork website
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
8. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as wdt/p): image of a person's signature, image
9. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
10. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

No other items found

[Assistant]
The property "instrument" (wd:P1303) seems to be the correct one to link Louis Armstrong to the instruments he played. Let's construct a SPARQL query to retrieve the instruments played by Louis Armstrong using this property.

Here is the initial SPARQL query:

```sparql
SELECT ?instrument WHERE {
  wd:Q1779 wdt:P1303 ?instrument .
}
```

Let's execute this query to see the results.

[Tool]
Got 3 rows and 1 column:
| instrument           |
| -------------------- |
| voice (wd:Q17172850) |
| cornet (wd:Q202027)  |
| trumpet (wd:Q8338)   |

[Assistant]
The SPARQL query returned the instruments played by Louis Armstrong, which include his voice, cornet, and trumpet. To provide a more user-friendly response, we can also include the labels of these instruments. However, since the labels are optional, we will use an `OPTIONAL` clause to fetch them.

Here is the refined SPARQL query:

```sparql
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q1779 wdt:P1303 ?instrument .
  OPTIONAL { ?instrument rdfs:label ?instrumentLabel . FILTER(LANG(?instrumentLabel) = "en") }
}
```

Let's execute this query to get the labels of the instruments.

[Tool]
Got 3 rows and 2 columns:
| instrument           | instrumentLabel |
| -------------------- | --------------- |
| voice (wd:Q17172850) | voice (en)      |
| cornet (wd:Q202027)  | cornet (en)     |
| trumpet (wd:Q8338)   | trumpet (en)    |

[Assistant]
The SPARQL query successfully retrieved the instruments played by Louis Armstrong along with their labels. The instruments are:

- Voice (wd:Q17172850)
- Cornet (wd:Q202027)
- Trumpet (wd:Q8338)

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. The answer provided is accurate and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?scale ) AS ?count ) WHERE {
  {
    ?scale wdt:P31 wd:Q179651 .
  } UNION {
    ?subclass wdt:P279 * wd:Q179651 .
    ?scale wdt:P31 ?subclass .
  } UNION {
    ?scale wdt:P31 wd:Q180294 .
  } UNION {
    ?subclass wdt:P279 * wd:Q180294 .
    ?scale wdt:P31 ?subclass .
  } UNION {
    ?scale wdt:P31 wd:Q180295 .
  } UNION {
    ?subclass wdt:P279 * wd:Q180295 .
    ?scale wdt:P31 ?subclass .
  }
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 77 (xsd:int) |

There are 77 musical scales.

[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 musical scales are there?

[Assistant]
To answer the question "How many musical scales are there?", we need to identify the entity representing "musical scale" in the knowledge graph and then count the number of instances of this entity.

### Step 1: Identify the Entity for "Musical Scale"
First, let's search for the entity representing "musical scale" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. scale, also known as gamut, musical scale (wd:Q179651): set of musical notes ordered by pitch
2. musical scale (wd:L490906-S1)
3. Japanese musical scale (wd:Q1683319): Scales used in Japanese traditional music
4. minor scale; musical scale (wd:L739761-S2)
5. A Perfect Musical Scale (wd:Q60136008): scientific article published in Nature
6. Synthetic Musical Scales (wd:Q58123356)
7. type of musical scale (wd:L640378-S8)
8. MUSICAL INTELLIGENCE AND SCALE PREFERENCE. (wd:Q30335517): scientific article
9. sixth note in musical scale (wd:L739149-S1)
10. sixth note of musical scale (wd:L1405299-S1)

[Assistant]
From the search results, the most relevant entity for "musical scale" is `wd:Q179651`, which is described as "set of musical notes ordered by pitch."

### Step 2: Count the Number of Instances of "Musical Scale"
Next, we need to count the number of instances of this entity. We can do this by querying for all entities that are instances of `wd:Q179651` and counting them.

Let's write and execute a SPARQL query to count the number of musical scales.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 22 (xsd:int) |

[Assistant]
The SPARQL query returned a count of 22 musical scales.

### Final Answer
There are 22 musical scales according to the information in Wikidata.

Let's finalize the answer with the SPARQL query and the result.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it might be missing some musical scales. The query only counts instances of 'musical scale' (wd:Q179651), but there could be other items that are subclasses of 'musical scale'. Consider adding a UNION clause to also include subclasses of 'musical scale'.

[Assistant]
Thank you for the feedback. To ensure we capture all musical scales, including those that are subclasses of `wd:Q179651`, we need to modify the SPARQL query to include both direct instances and instances of subclasses.

### Step 3: Include Subclasses of "Musical Scale"
We will use the `wdt:P279` property, which represents "subclass of," to include subclasses of `wd:Q179651`.

Let's update the SPARQL query to include both direct instances and instances of subclasses of `wd:Q179651`.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 77 (xsd:int) |

[Assistant]
The updated SPARQL query returned a count of 77 musical scales, including those that are subclasses of `wd:Q179651`.

### Final Answer
There are 77 musical scales according to the information in Wikidata, including those that are subclasses of "musical scale."

Let's finalize the answer with the updated SPARQL query and the result.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it might be missing some musical scales that are not directly classified as instances of 'musical scale' (Q179651) or its subclasses. Consider adding a broader classification such as 'musical mode' (Q180294) or 'musical tuning' (Q180295) to ensure all relevant scales are included. Additionally, you might want to check if there are any other properties or classes that could be used to identify musical scales.

[Assistant]
Thank you for the feedback. To ensure we capture all relevant musical scales, we should consider including broader classifications such as "musical mode" (wd:Q180294) and "musical tuning" (wd:Q180295). We will also check if there are any other properties or classes that could be used to identify musical scales.

### Step 4: Include Broader Classifications
We will update the SPARQL query to include instances of "musical scale" (wd:Q179651), "musical mode" (wd:Q180294), and "musical tuning" (wd:Q180295), as well as their subclasses.

Let's update the SPARQL query accordingly.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 77 (xsd:int) |

[Assistant]
The updated SPARQL query still returns a count of 77 musical scales, even when including broader classifications such as "musical mode" (wd:Q180294) and "musical tuning" (wd:Q180295).

### Step 5: Verify and Refine Further
Since the count did not change, it suggests that the additional classes did not introduce new instances. However, to ensure completeness, let's verify if there are any other properties or classes that could be used to identify musical scales.

### Step 6: Search for Additional Properties and Classes
We will search for properties and classes related to musical scales to see if there are any other relevant entities.

Let's start by searching for properties related to musical scales.

[Tool]
Top 10 property alternatives:
1. ascending scale, also known as arohana (wd:P7598 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): sequence of notes starting from a tonic in one octave and ending with the tonic one octave above
2. scale, also known as scale ratio (wd:P1752 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): proportional ratio of a linear dimension of a ọnụ ọgụgụ, map, etc,  to the same feature of the original - 1:n. Use 1 for lifesize
3. musical bars shown, also known as measures, musical measures, musical bars, bars, bar number (wd:P7141 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): qualifier of the initial and final musical bars shown in a quotation or excerpt
4. tonality, also known as in key, key, key of musical composition, key used, musical key (wd:P826 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): key of a musical composition
5. descending scale, also known as raga theme, avarohana (wd:P7599 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): sequence of notes starting from a tonic in one octave and ending with the tonic one octave below
6. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): musical instrument that a person plays or teaches or used in a music occupation, uses
7. beats per minute, also known as BPM, tempo, musical tempo, metronome mark, bpm (wd:P1725 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): tempo of a musical work, indicated numerically (use P1558 for qualitative tempo markings), frequency
8. tempo marking, also known as tempo, musical tempo (wd:P1558 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): qualitative indication about the speed or pace of a given musical piece (use P1725 for numerical tempo markings)
9. measurement scale, also known as measured by (wd:P1880 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): scale by which a phenomenon is measured
10. LilyPond notation, also known as musical notation (wd:P6883 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): musical notation in LilyPond syntax

[Assistant]
The search for properties related to "musical scale" did not yield any new classes or properties that directly identify musical scales. However, we can still check if there are any other classes that might be relevant.

### Step 7: Search for Additional Classes
Let's search for classes related to "musical scale" to see if there are any other relevant entities that we might have missed.

We will search for classes related to "musical scale" and "musical mode" to ensure we are not missing any important categories.

[Tool]
Top 10 entity alternatives:
1. scale, also known as gamut, musical scale (wd:Q179651): set of musical notes ordered by pitch
2. musical scale (wd:L490906-S1)
3. Classical period, also known as Classical era, musical classicism, Classical-period music, Classical music, Classical-era music (wd:Q17723): genre of Western music (c. 1730–1820)
4. Japanese musical scale (wd:Q1683319): Scales used in Japanese traditional music
5. minor scale; musical scale (wd:L739761-S2)
6. musical instrument classification, also known as classification of musical instruments (wd:Q2748242): classification scheme of musical instruments
7. family of musical instruments, also known as class of musical instruments, family of instruments, class of instruments (wd:Q1254773): grouping of different but related types of instruments
8. A Perfect Musical Scale (wd:Q60136008): scientific article published in Nature
9. The classifiability scale (wd:Q130793917)
10. Synthetic Musical Scales (wd:Q58123356)

[Assistant]
The search for classes related to "musical scale" did not yield any new relevant classes beyond what we already have. The top results are either the same as `wd:Q179651` or not directly related to musical scales.

### Step 8: Final Verification and Conclusion
Given that the additional searches did not yield new relevant classes or properties, and the count of 77 musical scales has remained consistent, we can conclude that our current SPARQL query is comprehensive enough to capture all relevant musical scales in Wikidata.

### Final Answer
There are 77 musical scales according to the information in Wikidata, including those that are subclasses of "musical scale" (wd:Q179651), "musical mode" (wd:Q180294), and "musical tuning" (wd:Q180295).

Let's finalize the answer with the updated SPARQL query and the result.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?partner ?gender WHERE {
  wd:Q6711 wdt:P451 ?partner .
  ?partner wdt:P21 ?gender
}

The binary gender of the partner of Allen Ginsberg is male.

[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 is the binary gender of the partner of Allen Ginsberg ?

[Assistant] To answer this question, we need to identify Allen Ginsberg and his partner, and then determine the binary gender of the partner. Let's start by finding the entity for Allen Ginsberg in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Allen Ginsberg, also known as Irwin Allen Ginsberg (wd:Q6711): American poet and writer (1926–1997), autobiographer, photographer, screenwriter, playwright, musician, diarist, teacher, writer, poet
2. Allen Ginsberg (wd:Q102249265): Ph.D. Rutgers University, New Brunswick 1986
3. Allen Ginsberg Library (wd:Q117833470): this entity is a library in the state of colorado. it was identified and verified by the chr task force
4. Untitled (Allen Ginsberg) (wd:Q76558858): print in the National Gallery of Art (NGA 155538)
5. Allen Ginsberg no number (wd:Q64163104): photograph in the National Gallery of Art (NGA 88333)
6. Allen Ginsberg no number (wd:Q64163625): photograph in the National Gallery of Art (NGA 88331)
7. Allen Ginsberg no number (wd:Q64163102): photograph in the National Gallery of Art (NGA 88336)
8. Allen Ginsberg no number (wd:Q64163079): photograph in the National Gallery of Art (NGA 88334)
9. Allen Ginsberg no number (wd:Q64162725): photograph in the National Gallery of Art (NGA 88330)
10. Allen Ginsberg no number (wd:Q64162264): photograph in the National Gallery of Art (NGA 88332)

[Assistant]
The correct entity for Allen Ginsberg is `wd:Q6711`. Next, we need to find out who his partner was. We can look for the property that represents a partner or spouse and then find the corresponding entity.

Let's search for the property that represents a partner or spouse.

[Tool]
Top 10 property alternatives:
1. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
2. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
3. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): professional collaborator, significant person
4. partnership with, also known as works with, collaborates with, collaboration with (wd:P2652 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): partnership (commercial or/and non-commercial) between this organization and another organization or institution
5. twinned administrative body, also known as twin cities, twin town, twin city, sister town, sister city (wd:P190 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): twin towns, sister cities, twinned municipalities and other loca..., either legally or informally acknowledged by their governments
6. contributor to the creative work or subject, also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor (wd:P767 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization that contributed to a subject: co-creator of a creative work or subject, participant
7. funder, also known as benefactor, sponsored by, sponsor, has funder, has donor (wd:P8324 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): entity that gives money to a person, organization, or project for a specific purpose, sponsor
8. sponsor, also known as benefactor, endorsed by, patron, sponsored by (wd:P859 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): organization or individual that sponsors this item
9. commissioned by, also known as client, orderer, made for, commissioner, built for (wd:P88 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization that commissioned this work
10. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): two or more astronomic bodies of the same type relating to each other

[Assistant]
The most relevant property for a partner or spouse is `wd:P26` (spouse) or `wd:P451` (unmarried partner). Since Allen Ginsberg was known to have had a long-term partner, let's check both properties to see if we can find the partner.

We'll start with `wd:P26` (spouse).

[Tool] Got no rows and 1 columns

[Assistant] It seems that Allen Ginsberg does not have a spouse listed under the `wd:P26` property. Let's try the `wd:P451` property (unmarried partner) to see if we can find his partner.

[Tool]
Got 1 row and 1 column:
| partner                      |
| ---------------------------- |
| Peter Orlovsky (wd:Q1983102) |

[Assistant]
The partner of Allen Ginsberg is Peter Orlovsky (`wd:Q1983102`). Now, we need to determine the binary gender of Peter Orlovsky. We can use the property `wd:P21` (sex or gender) to find this information.

Let's execute a query to find the binary gender of Peter Orlovsky.

[Tool]
Got 1 row and 1 column:
| gender             |
| ------------------ |
| male (wd:Q6581097) |

[Assistant]
The binary gender of Peter Orlovsky, the partner of Allen Ginsberg, is male (`wd:Q6581097`).

Here is the final SPARQL query and answer:

```sparql
SELECT ?partner ?gender WHERE {
  wd:Q6711 wdt:P451 ?partner .
  ?partner wdt:P21 ?gender
}
```

Answer: The binary gender of the partner of Allen Ginsberg is male.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected result. The answer provided is accurate based on the information retrieved from the knowledge graph.