PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?turkishLabel WHERE {
  wd:Q30 rdfs:label ?turkishLabel FILTER ( LANG( ?turkishLabel ) = 'tr' )
}

Got 1 row and 1 column:
| ?turkishLabel                    |
| -------------------------------- |
| "Amerika Birleşik Devletleri"@tr |

Amerika Birleşik Devletleri

[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 do people from Turkey call the official name of the united states of america?

[Assistant]
To answer this question, we need to find the official name of the United States of America and then check how it is referred to in Turkish. Let's start by identifying the entity for the United States of America and the property for the official name.

### Step 1: Identify the entity for the United States of America
I will search for the entity "United States of America" in Wikidata.

[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`. Now, let's find the property for the official name.

### Step 2: Identify the property for the official name
I will search for the property "official name" in Wikidata.

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): label for the items in their official language  or their original language, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): official name of the subject in its official language(s), name
3. officialized by, also known as made official by, officialised by (wd:P5194 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): informal name (for a pseudonym use P742), name
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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
8. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Assistant]
The property for the official name is `wd:P1448`. Now, let's find the official name of the United States of America in Turkish.

### Step 3: Find the official name of the United States of America in Turkish
I will execute a SPARQL query to get the official name of the United States of America in Turkish.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that there is no direct statement for the official name of the United States of America in Turkish. However, we can try a different approach by looking for the official name in English and then finding the Turkish translation of that name.

### Step 4: Find the official name of the United States of America in English
I will execute a SPARQL query to get the official name of the United States of America in English, and then we can look for the Turkish translation of that name.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there is no direct statement for the official name of the United States of America in English either. However, we can try a simpler approach by directly querying the official name in Turkish without the language qualifier.

### Step 5: Directly query the official name in Turkish
I will execute a SPARQL query to get the official name of the United States of America in Turkish, without specifying the language qualifier for the name itself.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that there is no direct statement for the official name of the United States of America in Turkish in the way we are querying. Let's try a different approach by looking for the label of the United States of America in Turkish, which might give us the commonly used name in Turkish.

### Step 6: Query the label of the United States of America in Turkish
I will execute a SPARQL query to get the label of the United States of America in Turkish.

[Tool]
Got 1 row and 1 column:
| ?turkishLabel                    |
| -------------------------------- |
| "Amerika Birleşik Devletleri"@tr |

[Assistant]
The label of the United States of America in Turkish is "Amerika Birleşik Devletleri". This is likely the commonly used name in Turkish for the United States of America.

Since we couldn't find a specific official name in Turkish, the commonly used name "Amerika Birleşik Devletleri" is the best answer we can provide.

### Final Answer
People from Turkey call the United States of America "Amerika Birleşik Devletleri".

Here is the final SPARQL query and answer:

```sparql
SELECT ?turkishLabel WHERE {
  wd:Q30 rdfs:label ?turkishLabel
  FILTER(LANG(?turkishLabel) = 'tr')
}
```

Answer: "Amerika Birleşik Devletleri"

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award wdt:P31 wd:Q194285 .
}

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

1 time

[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 often did Naomi Novik win the nebula award?

[Assistant]
To answer the question "How often did Naomi Novik win the Nebula Award?", we need to identify the following:

1. The entity representing Naomi Novik.
2. The entity representing the Nebula Award.
3. The property that indicates winning an award.

Let's start by searching for the entity representing Naomi Novik.

[Tool]
Top 10 entity alternatives:
1. Naomi Novik (wd:Q242643): science fiction writer, American writer, fantasy author, programmer, novelist, writer
2. Naomi (wd:Q2596433): Ruth's mother-in-law in the Book of Ruth
3. Naomi, also known as Trinity Starr, Trinity Fatu, Trinity, Nalgomi, Naomi Knight (wd:Q3119295): American professional wrestler, professional wrestler, celebrity, dancer, model
4. 6139 Naomi, also known as Naomi (wd:Q553669): asteroid
5. Naomi, also known as Naomi, PA, Naomi, Pennsylvania (wd:Q6964608): settlement in Pennsylvania, US
6. Naomi (wd:Q108444706): American television series
7. Novik (wd:Q1547078): 1911 Russian destroyer
8. Naomi, also known as Naomi (first name), Naomi (given name) (wd:Q18508449): female given name
9. Naomi (wd:Q6964620): novel by Junichiro Tanizaki
10. Naomi, also known as Florin Moldovan (wd:Q22957923): Romanian recording artist, songwriter and actress, songwriter, singer, actor

[Assistant] The top result for "Naomi Novik" is `wd:Q242643`, which is the correct entity for the science fiction writer Naomi Novik. Next, let's search for the entity representing the Nebula Award.

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Assistant] The top result for "Nebula Award" is `wd:Q194285`, which is the correct entity for the Nebula Award. Now, we need to find the property that indicates winning an award. Let's search for properties related to "winning" or "award".

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): award or recognition received by a person, organization or creative work
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): person or organization who grants an award, certification, grant, or role
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): qualifier of award received (P166) to specify the work that an award was given to the creator for
5. competition won, also known as won event, won, winner of, victory (wd:P2522 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): competition or sports event won by the subject, participant in
6. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
7. nominee, also known as award nominee (wd:P2453 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): qualifier used with “nominated for” to specify which person or organization was nominated
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. awarded for period (wd:P4566 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): period during which the achievement must have been made to be eligible for an award
10. award rationale, also known as award citation, rationale, award reason (wd:P6208 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.

[Assistant]
The property `wd:P166` (award received) is the correct property to indicate winning an award. Now, we can construct a SPARQL query to count how many times Naomi Novik (`wd:Q242643`) has won the Nebula Award (`wd:Q194285`).

Let's execute the following SPARQL query:

```sparql
SELECT (COUNT(?award) AS ?count)
WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award wdt:P31 wd:Q194285 .
}
```

This query will count the number of times Naomi Novik has received the Nebula Award.

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

[Assistant]
The SPARQL query returned a count of 1, indicating that Naomi Novik has won the Nebula Award once.

Therefore, the answer to the question "How often did Naomi Novik win the Nebula Award?" is:

**1 time**

Here is the final SPARQL query:

```sparql
SELECT (COUNT(?award) AS ?count)
WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award wdt:P31 wd:Q194285 .
}
```

And the answer:

**1 time**

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}

The creators of the TV show 'Dinosaurs' are Michael Jacobs and Bob Young.

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

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

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

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

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

[User] Who is the creator of the Dinosaurs tv show ?

[Assistant] To find the creator of the "Dinosaurs" TV show, we need to identify the entity for the TV show "Dinosaurs" and then find the property that links to its creator. Let's start by searching for the entity "Dinosaurs" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant] None of these options seem to directly refer to the specific TV show "Dinosaurs." Let me try a more specific search to find the exact entity for the TV show "Dinosaurs."

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant] It seems that the search did not return the specific entity for the TV show "Dinosaurs" from 1991. Let me try another search with a slightly different query to see if I can find it.

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant]
It appears that the search is still not returning the specific entity for the TV show "Dinosaurs" from 1991. Let me try a more direct search for the TV show "Dinosaurs" and then filter by the year 1991 in the SPARQL query.

First, let's search for the entity "Dinosaurs" again and see if we can find it in the results.

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant]
It seems that the search is still not returning the specific entity for the TV show "Dinosaurs" from 1991. Let me try a more targeted search by including the year in the query to see if it helps narrow down the results.

Let's search for "Dinosaurs TV show 1991" again, but this time with a more specific query to include the year.

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant]
It seems that the search is still not returning the specific entity for the TV show "Dinosaurs" from 1991. Let me try a different approach by searching for the TV show "Dinosaurs" and then filtering the results to find the correct entity.

I will search for "Dinosaurs" and then look for the entity that has a start date or original air date around 1991.

Let's start by searching for "Dinosaurs" and then we can filter the results.

[Tool]
Top 10 entity alternatives:
1. dinosaur, also known as dino, Dinosauria, dinosaurs (wd:Q430): clade of archosaurian reptiles (Archosauria)
2. Dinosaurs (wd:Q1211977): television program
3. Dinosaurs, also known as Dinosaurs: The Most Complete, Up... for Dinosaur Lovers of All Ages (wd:Q5186590): book by Thomas R. Holtz, Jr.
4. Dinosaurs (wd:Q18351859): 1987 novelette by Walter Jon Williams
5. Dinosaurs (wd:Q28419612): anthology of science fiction short works
6. Dinosaurs! (wd:Q28401115): 1990 anthology
7. Dinosaurs (wd:Q97359951): 2018 song by Australian musician Ruby Fields
8. Dinosaurs (wd:Q120970468): 2023 Indian Tamil-language action film by M. R. Madhavan
9. Dinosaurs (wd:Q58999596): scientific article published in Nature
10. Dinosaurs (wd:Q93927541): scholarly article authored by James Willis and published in British Journal of General Practice in 2007

[Assistant]
From the search results, the entity `wd:Q1211977` is labeled as "Dinosaurs" and is described as a television program. This is likely the TV show we are looking for. Let's confirm this by checking the details of this entity, particularly the start date or original air date, to ensure it matches the 1991 TV show.

I will list the triples for `wd:Q1211977` to find more information about it.

[Tool]
Got 239 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                     | object                                |
| ----------------------- | ---------------------------- | ------------------------------------- |
| Dinosaurs (wd:Q1211977) | instance of (wdt:P31)        | television series (wd:Q5398426)       |
| Dinosaurs (wd:Q1211977) | title (wdt:P1476)            | Dinosaurs                             |
| Dinosaurs (wd:Q1211977) | has part(s) (wdt:P527)       | Dinosaurs, season 1 (wd:Q63522500)    |
| Dinosaurs (wd:Q1211977) | country of origin (wdt:P495) | United States (wd:Q30)                |
| Dinosaurs (wd:Q1211977) | official website (wdt:P856)  | <https://movies.disney.com/dinosaurs> |
| Dinosaurs (wd:Q1211977) | genre (wdt:P136)             | sitcom (wd:Q170238)                   |
| Dinosaurs (wd:Q1211977) | award received (wdt:P166)    | Genesis Award (wd:Q135498)            |
| Dinosaurs (wd:Q1211977) | cast member (wdt:P161)       | Christopher Meloni (wd:Q380095)       |
| Dinosaurs (wd:Q1211977) | creator (wdt:P170)           | Michael Jacobs (wd:Q3308269)          |
| Dinosaurs (wd:Q1211977) | start time (wdt:P580)        | 1991-04-26T00:00:00Z                  |
| ...                     | ...                          | ...                                   |

[Assistant]
The entity `wd:Q1211977` is indeed the TV show "Dinosaurs" that aired in 1991. From the triples, we can see that the creator of the show is Michael Jacobs (`wd:Q3308269`).

Now, let's construct a SPARQL query to confirm this information and return the creator of the TV show "Dinosaurs."

Here is the SPARQL query:

```sparql
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}
```

Let's execute this query to get the result.

[Tool]
Got 2 rows and 1 column:
| ?creator                     |
| ---------------------------- |
| Michael Jacobs (wd:Q3308269) |
| Bob Young (wd:Q4934478)      |

[Assistant]
The SPARQL query returned two creators for the TV show "Dinosaurs": Michael Jacobs (`wd:Q3308269`) and Bob Young (`wd:Q4934478`).

Therefore, the creators of the TV show "Dinosaurs" are Michael Jacobs and Bob Young.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}
```

Answer: The creators of the TV show "Dinosaurs" are Michael Jacobs and Bob Young.

Let's finalize this with the answer function.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location WHERE {
  wd:Q551416 wdt:P276 ?location .
}

The Hambach Festival happened at Hambach Castle.

[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 did the Hambach Festival happen?

[Assistant]
To answer the question about where the Hambach Festival happened, we need to identify the entity for the Hambach Festival and then find the property that indicates its location.

### Step 1: Identify the entity for the Hambach Festival
Let's start by searching for the entity "Hambach Festival" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hambach Festival (wd:Q551416): 1832 German festival
2. festival, also known as biennale, Fiesta Day, festivity, festival series, feast (wd:Q132241): organized set of events or activities focused on a theme (cultur...e.g. once a year) and lasts anywhere from several hours to weeks
3. party, also known as celebration, feast, festival, festivity, gala (wd:Q200538): social event
4. Hambach (wd:Q22391): commune in Moselle, France
5. Hambach, also known as Hambach (Diez) (wd:Q566907): municipality of Germany
6. Festival (wd:Q2443739): 1977 album from Santana
7. 120460 Hambach, also known as Hambach (wd:Q2641077): asteroid
8. Festival, also known as Festival Mushroom Records, Festival Records, FMR (wd:Q5445732): Australian record label
9. Festival (wd:Q5445695): 1996 South Korean drama film directed by Im Kwon-taek
10. Bumbershoot, also known as Seattle Arts Festival, Seattle Festival for the Arts, Mayor's Arts Festival, Festival, Bumbershoot: Seattle's Music & Arts Festival (wd:Q4997241): annual music and arts festival in Seattle, Washington, USA

[Assistant]
The top result for "Hambach Festival" is `wd:Q551416`, which is described as the 1832 German festival. This seems to be the correct entity.

### Step 2: Identify the property for the location of the festival
Next, we need to find the property that indicates the location of the festival. We can search for properties related to "location" or "place of occurrence."

Let's search for properties related to "location" in Wikidata.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): person or organization occupying property, used by
5. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): studio or location where a musical composition/release was recorded, recording location
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): home stadium or venue of a sports team or applicable performing arts organization, location
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): larger work that a given work was published in, like a book, journal or music album, part of
8. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
9. directions, also known as locality or place (wd:P2795 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): describe how to find the subject - directions, objects along way, comments
10. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): subject's ordinal position as qualitatively evaluated relative to other members of a group

[Assistant]
The property `P276` (location) seems to be the most appropriate for indicating the location of an event. Let's use this property to find the location of the Hambach Festival.

### Step 3: Construct and execute the SPARQL query
We will now construct a SPARQL query to find the location of the Hambach Festival (`wd:Q551416`) using the property `P276`.

```sparql
SELECT ?location WHERE {
  wd:Q551416 wdt:P276 ?location .
}
```

Let's execute this query to get the location of the Hambach Festival.

[Tool]
Got 1 row and 1 column:
| ?location                   |
| --------------------------- |
| Hambach Castle (wd:Q523286) |

[Assistant]
The Hambach Festival happened at Hambach Castle, which is represented by the entity `wd:Q523286` in Wikidata.

### Final Answer
The Hambach Festival took place at Hambach Castle.

Let's provide the final SPARQL query and answer.

```sparql
SELECT ?location WHERE {
  wd:Q551416 wdt:P276 ?location .
}
```

Answer: The Hambach Festival happened at Hambach Castle.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?domain WHERE {
  wd:Q167685 wdt:P2925 ?domain
}

Janus is the god of corridors, time, dualism, doorways, beginnings, gates, transitions, and sowing.

[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 was Janus the god of?

[Assistant]
To answer the question about what Janus the god represents, we need to identify the entity for Janus in the knowledge graph and then find out what he is associated with, such as his domain or attributes.

First, let's search for the entity "Janus" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Janus, also known as Ianus Quadrifrons, Ianus, Ianus Bifrons, Ianuspater (wd:Q167685): Roman deity
2. Janus, also known as Saturn X, S/1979 S 2, S/1980 S 2, S/1966 S 2, S/1980 S 1 (wd:Q17754): moon of Saturn
3. Alec Trevelyan, also known as 006, Janus (wd:Q2832397): Bond Villain, terrorist, 00 Agent
4. Princess (chess), also known as janus, princess, NB, knight+bishop compound, knight–bishop compound (wd:Q646328): fairy chess piece that can move like a bishop or a knight
5. Janus (wd:Q14499258): genus of sawflies
6. Janus (wd:Q314214): German musical group
7. Janus (wd:Q38360520): two-headed tortoise
8. Janus, also known as Janus (first name), Janus (given name) (wd:Q12319119): male given name
9. Janus (wd:Q17015237): album by Boyfriend
10. Janus, also known as Aurora (wd:Q6155938): science fiction fanzine produced by Janice Bogstad and Jeanne Gomoll

[Assistant]
From the search results, the first entry (wd:Q167685) is the Roman deity Janus. We will use this entity to find out what Janus is the god of.

Next, we need to look for properties that describe what Janus is associated with, such as his domains or attributes. Let's list the triples where Janus (wd:Q167685) is the subject to see what information is available.

[Tool]
Got 493 rows and 3 columns, showing the first 10 rows below:
| subject            | property                        | object                                                                                |
| ------------------ | ------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
| Janus (wd:Q167685) | instance of (wdt:P31)           | liminal deity (wd:Q17064682)                                                                                |
| Janus (wd:Q167685) | sex or gender (wdt:P21)         | male (wd:Q6581097)                                                                                |
| Janus (wd:Q167685) | Commons category (wdt:P373)     | Janus                                                                                |
| Janus (wd:Q167685) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Museo-etrusco-di-villa-giulia---giano%2032493359611%20o.jpg> |
| Janus (wd:Q167685) | described by source (wdt:P1343) | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                                         |
| Janus (wd:Q167685) | child (wdt:P40)                 | Fontus (wd:Q582918)                                                                                |
| Janus (wd:Q167685) | father (wdt:P22)                | Saturn (wd:Q134388)                                                                                |
| Janus (wd:Q167685) | different from (wdt:P1889)      | Janus (wd:Q14499258)                                                                                |
| Janus (wd:Q167685) | spouse (wdt:P26)                | Juturna (wd:Q139448)                                                                                |
| Janus (wd:Q167685) | mother (wdt:P25)                | Hecate (wd:Q131575)                                                                                |
| ...                | ...                             | ...                                                                                |

[Assistant]
From the listed triples, we can see that Janus is an instance of a liminal deity (wd:Q17064682). To understand what Janus is the god of, we need to find more specific information about his domains or attributes. Let's search for properties that might describe his role or domains, such as "domain of deity" or "attribute of deity."

Let's search for properties related to "domain" or "attribute" to find relevant information.

[Tool]
Top 10 property alternatives:
1. domain of saint or deity, also known as saint or deity domain, divine patron, sacred domain, patron saint of, patron of (wd:P2925 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): domain(s) which this saint or deity controls or protects
2. worshipped by, also known as deity of (wd:P1049 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): religion or group/civilization that worships a given deity, part of
3. definition domain, also known as function domain, domain of definition, from, domain of function, domain (wd:P1568 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): set of "input" or argument values for which a mathematical function is defined; subset of input set
4. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): specialization of a person or organization; see P106 for the occupation, interested in
5. top-level Internet domain, also known as ccTLD, top level domain, TLD, gTLD, internet domain (wd:P78 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): Internet domain name system top-level code
6. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): subject is studied by this science or domain, field of work
7. field of usage, also known as field of use, domain (wd:P9488 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): specialized area or terminology where this sense is used
8. 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): religion of a person, organization or religious building, or associated with this subject

[Assistant]
The property "domain of saint or deity" (wd:P2925) seems to be the most relevant for our purpose. Let's use this property to find out what domains Janus is associated with.

We will execute a SPARQL query to retrieve the domains of Janus.

[Tool]
Got 8 rows and 1 column:
| ?domain                   |
| ------------------------- |
| corridor (wd:Q1135449)    |
| time (wd:Q11471)          |
| dualism (wd:Q167312)      |
| doorway (wd:Q21263223)    |
| beginning (wd:Q529711)    |
| gate (wd:Q53060)          |
| transition (wd:Q59627780) |
| sowing (wd:Q777671)       |

[Assistant]
The SPARQL query has returned the domains associated with Janus. According to the results, Janus is the god of:

- Corridor (wd:Q1135449)
- Time (wd:Q11471)
- Dualism (wd:Q167312)
- Doorway (wd:Q21263223)
- Beginning (wd:Q529711)
- Gate (wd:Q53060)
- Transition (wd:Q59627780)
- Sowing (wd:Q777671)

These domains indicate that Janus is associated with passages, transitions, beginnings, and endings, as well as time and duality.

Now, let's format the final answer and provide the SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?location ) AS ?count ) WHERE {
  wd:Q153793 wdt:P937 ?location .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 12     |

Georges Braque has worked at 12 different locations.

[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 locations has Georges Braque worked at (work location)?

[Assistant] To answer the question about how many locations Georges Braque has worked at, we need to identify the entity for Georges Braque and the property for work location. Let's start by searching for the entity "Georges Braque" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Georges Braque, also known as george braque, George Braque, George B., Giorgio Braque, S Braque (wd:Q153793): French painter and sculptor (1882-1963), jewelry designer, scenographer, lithographer, draftsperson, printmaker, collagist, sculptor, designer, painter, artist
2. Georges Braque (wd:Q3102361): 1950 film by André Bureau
3. Braque, Georges (wd:Q103894433): encyclopedia article
4. Braque, Georges (wd:Q104007781)
5. Georges Braque (wd:Q110890954): 1949 exhibition at Museum of Modern Art
6. Georges Braque (wd:Q19887374): painting by René Robert Bouché
7. Georges Braque (wd:Q60308502): exhibition in Paris in 1908
8. Georges Braque (wd:Q60400752): 1919 exhibition in Paris
9. Georges Braque (wd:Q79875976): photograph by Man Ray (American, 1890-1976) (2019.26)
10. allée Georges Braque (wd:Q113370081): alley in La Courneuve, France

[Assistant] The top result for "Georges Braque" is the correct entity (wd:Q153793). Now, let's search for the property "work location" to find the relevant property in Wikidata.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. employer, also known as working at, working for, working place, works at, works for (wd:P108 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): person or organization for which the subject works or worked, affiliation
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): specialization of a person or organization; see P106 for the occupation, interested in
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. in work (wd:P2553 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): qualifier of award received and nominated for (P1411) to specify...ominated creative work appeared causing the nomination/award win
7. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the narrative of the work is set in this location, significant place, depicts
9. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): qualifier of award received (P166) to specify the work that an award was given to the creator for
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "work location" (wd:P937) is the correct property for identifying the locations where Georges Braque worked. Now, let's construct a SPARQL query to count the number of distinct work locations for Georges Braque.

Here is the initial SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?location) AS ?count)
WHERE {
  wd:Q153793 wdt:P937 ?location .
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 12     |

[Assistant]
The SPARQL query returned a count of 12 distinct work locations for Georges Braque. Therefore, the answer to the question is:

Georges Braque has worked at 12 different locations.

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?website WHERE {
  wd:Q30588383 wdt:P856 ?website .
}

The website of NPR's 'Tiny Desk Concert' is <https://www.npr.org/series/tiny-desk-concerts/>.

[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 website of NPR's “Tiny Desk Concert”?

[Assistant]
To find the website of NPR's "Tiny Desk Concert," we need to identify the entity representing "Tiny Desk Concert" in the knowledge graph and then look for a property that indicates its website.

### Step 1: Identify the Entity for "Tiny Desk Concert"
First, let's search for the entity representing "Tiny Desk Concert" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. NPR Tiny Desk Concerts (wd:Q30588383): video series of concerts held by NPR Music
2. Tiny Desk Concerts - Audio (wd:Q101367084): podcast from NPR
3. concert, also known as gig, live music, live concert (wd:Q182832): live performance of music
4. desk (wd:Q1064858): case furniture used as a worksurface, often in a home or office setting
5. concerto, also known as Concert (wd:Q9748): musical composition usually in three parts
6. Le Concert, also known as Concert (wd:Q1169399): 2009 film by Radu Mihăileanu
7. The Concert, also known as Concert (wd:Q20077964): 1921 film by Victor Schertzinger
8. small, also known as baby, little, miniature, petite, puny (wd:Q16042592): limited in magnitude (not large or big)
9. Desk (wd:Q5851302): village in Iran
10. Odoo, also known as OpenERP, Tiny (wd:Q16668106): Walloon technology company

[Assistant]
The top result, "NPR Tiny Desk Concerts" (wd:Q30588383), seems to be the correct entity for "Tiny Desk Concert."

### Step 2: Find the Website Property
Next, we need to find the property that represents the website of an entity. We can search for properties related to "website" or "URL."

Let's search for the property "website" in Wikidata.

[Tool]
Top 10 property alternatives:
1. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): official URL where the agent sells products/merchandise, official website
2. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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
3. title of broader work, also known as container title, website title (wd:P6333 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): title of website, journal or other work in which an article (or ...is published in. Use "published in" (P1433) instead if possible.
4. login URL, also known as sign-in URL, sign in URL, sign-in page, sign in page, login page (wd:P11903 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): URL of a webpage used to log into a service, URL
5. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
6. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
7. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): URL to the sitemap of the subject's official website, URL
8. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): name of the Reddit forum associated to this subject
9. reference URL, also known as URL fonte, webref, URL ref, URL, site (wd:P854 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): should be used for Internet URLs as references. Use "Wikimedia import URL" (P4656) for imports from WMF sites, URL
10. URL, also known as Uniform Resource Locator, URLs, Uniform Resource Locators (wd:P2699 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location of a resource

[Assistant]
The property "official website" (wd:P856) seems to be the most appropriate for finding the website of an entity.

### Step 3: Construct the SPARQL Query
Now, let's construct a SPARQL query to retrieve the official website of "NPR Tiny Desk Concerts" (wd:Q30588383).

```sparql
SELECT ?website
WHERE {
  wd:Q30588383 wdt:P856 ?website .
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?website                                         |
| ------------------------------------------------ |
| <https://www.npr.org/series/tiny-desk-concerts/> |

[Assistant]
The website of NPR's "Tiny Desk Concert" is <https://www.npr.org/series/tiny-desk-concerts/>.

Let's provide this as the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q794 wdt:P37 ?language .
}

The official language of Iran is Persian.

[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 official language of iran?

[Assistant] To find the official language of Iran, we need to identify the entity for Iran and then look for a property that indicates the official language of a country. Let's start by searching for the entity representing Iran.

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Assistant] The top result for "Iran" is the country in Western Asia, which is the entity we are looking for. The IRI for this entity is `wd:Q794`. Next, we need to find a property that indicates the official language of a country. Let's search for a property 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The top result for "official language" is `wd:P37`, which is the property we need. Now, let's construct a SPARQL query to find the official language of Iran using the identified entity and property.

Here is the SPARQL query:

```sparql
SELECT ?language WHERE {
  wd:Q794 wdt:P37 ?language .
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?language          |
| ------------------ |
| Persian (wd:Q9168) |

[Assistant]
The official language of Iran is Persian. The IRI for Persian is `wd:Q9168`.

Here is the final SPARQL query and answer:

```sparql
SELECT ?language WHERE {
  wd:Q794 wdt:P37 ?language .
}
```

Answer: The official language of Iran is Persian.

[Tool] Stopped generation process