PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.034bs fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel .
    FILTER ( lang( ?causeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| causeOfDeath              | causeOfDeathLabel |
| ------------------------- | ----------------- |
| Tuberculosis (fb:m.07jwr) | Tuberculosis (en) |

George Orwell died of Tuberculosis.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 did george orwell died of?

[Assistant]
To answer the question "What did George Orwell die of?", I need to find the entity for George Orwell in the Freebase knowledge graph and then find the property related to the cause of death or similar information.

Step 1: Search for the entity "George Orwell" in Freebase.

[Tool]
Top 10 entity alternatives:
1. George Orwell, also known as Eric Arthur Blair (fb:m.034bs): Eric Arthur Blair, who used the pen name George Orwell, was an E...ht Police, Room 101, Memory hole, doublethink, and thoughtcrime., Eric Arthur Blair (25 June 1903 21 January 1950), better known b...in language.His two most popular works are 1984 and Animal Farm., has type Author
2. George Orwell (fb:m.0b3mv01): has type Book Edition
3. George Orwell (fb:m.08n0rk7): has type Book Edition
4. George Orwell (fb:m.0c5xtp5): has type Book Edition
5. George Orwell (fb:m.04vtrvn): has type Book Edition
6. George Orwell (fb:m.04t4gy2): has type Book
7. George Orwell (fb:m.0c6n17d): has type Book Edition
8. George Orwell (fb:m.04txhhn): has type Book Edition
9. George Orwell (fb:m.079p0vv): has type Book Edition
10. George Orwell (fb:m.079p0vc): has type Book Edition

[Assistant] The entity for George Orwell as the author (Eric Arthur Blair) is fb:m.034bs. Next, I will search for properties related to the cause of death or death information for this entity. I will search for properties related to "cause of death" or "died of" for the entity George Orwell (fb:m.034bs).

[Tool]
Top 10 property alternatives:
1. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
2. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
3. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Name (fb:type.object.name): part of Object schema, links to type Text
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Cause of death" for George Orwell is fb:people.deceased_person.cause_of_death. Now I will query the cause of death for George Orwell (fb:m.034bs) using this property.

[Tool]
Got 1 row and 2 columns:
| causeOfDeath              | causeOfDeathLabel |
| ------------------------- | ----------------- |
| Tuberculosis (fb:m.07jwr) | Tuberculosis (en) |

[Tool] Stopped generation process


The knowledge graph contains mostly past film festivals linked to Hollywood, CA without current or upcoming event dates. Therefore, it does not have up-to-date information about what to do in Hollywood, CA this weekend. Hence, I cannot provide a satisfactory SPARQL query to answer the user's question based on this knowledge graph.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 to do in hollywood ca this weekend?

[Assistant]
The user is asking for activities or events to do in Hollywood, CA this weekend. This is a broad question about events or things to do in a specific location and time frame. To answer this, I need to find entities related to Hollywood, CA and events or activities happening this weekend.

Step 1: Identify the entity for "Hollywood, CA" in the knowledge graph.
Step 2: Identify properties related to events, activities, or things to do in that location.
Step 3: Filter or find events happening this weekend.

I will start by searching for the entity "Hollywood, CA" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Hollywood, CA (fb:m.024vvx0): has type Canonical Version
2. Hollywood, CA (fb:m.0l7kvp8)
3. Hollywood, also known as Hollywood, California, Hollywood, Los Angeles, California (fb:m.0f2wj): Hollywood is a neighborhood in the central region of Los Angeles...tually becoming the most dominant and recognizable in the world., has type Neighborhood
4. Captain Hollywood, also known as Hollywood, Captain, Tony Dawson-Harrison, Captain Hollywood - More & More (fb:m.03f1vfn): has type Composer
5. Hollywood Canteen (fb:m.0b3klf): Hollywood Canteen is a 1944 American musical romantic comedy fil... cameo roles. The film received three Academy Award nominations., has type Film
6. Hollywood Cavalcade (fb:m.08q3qg2): Hollywood Cavalcade is a 1939 American film featuring Alice Faye...ctionalized look at silent-era performers and their productions., Hollywood Cavalcade is a 1939 film directed by Irving Cummings and Malcolm St. Clair., has type Film
7. Canal Hollywood (fb:m.02w1hcj): Canal Hollywood is a movies cable channel available in Spain and...w cable, satellite or IPTV in Angola, Mozambique and Cape Verde., has type Employer
8. Capri Hollywood Film Festival, also known as Capri, Hollywood (fb:m.0s953m_): Capri Hollywood Film Festival is an international film festival., has type Film festival
9. Hollywood Capers (fb:m.0h3rfqt): Hollywood Capers is a short animated film of the Looney Tunes se...hat have fallen into the public domain. Porky also made a cameo., has type Film
10. Hollywood Canteen (fb:m.0j7711m): The Hollywood Canteen operated at 1451 Cahuenga Boulevard in Hol...taffed completely by volunteers from the entertainment industry., has type Organization

[Assistant] I found multiple entities related to Hollywood, CA. The most relevant one seems to be "Hollywood, also known as Hollywood, California, Hollywood, Los Angeles, California" with the entity ID fb:m.0f2wj which is a neighborhood in Los Angeles. I will use this entity to search for properties related to events or activities in this location. Next, I will search for properties of this entity that might relate to events or things to do.

[Tool]
Top 10 property alternatives:
1. Events (fb:location.location.events): part of Location schema, links to type Event
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Image (fb:common.topic.image): part of Topic schema, links to type Image
7. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
8. Contains (fb:location.location.contains): part of Location schema, links to type Location
9. Rides (fb:amusement_parks.ride_theme.rides): part of Amusement Ride Theme schema, links to type Amusement Ride
10. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text

No other items found

[Assistant] The property "Events" (fb:location.location.events) is available for the entity Hollywood, CA (fb:m.0f2wj). This property links to events happening at this location. I will now query for events linked to Hollywood, CA using this property. Since the user asked for events this weekend, I will try to filter events by date for the upcoming weekend. I will first check the events linked to Hollywood, CA to see if they have date information.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| event                                                  | eventLabel                                  | startDate | endDate |
| ------------------------------------------------------ | ------------------------------------------- | --------- | ------- |
| 2014 TCM Classic Film Festival (fb:m.0109lsws)         | 2014 TCM Classic Film Festival (en)         |           |         |
| 2011 TCM Classic Film Festival (fb:m.0109n4by)         | 2011 TCM Classic Film Festival (en)         |           |         |
| 2014 HollyShorts Film Festival (fb:m.010c4f41)         | 2014 HollyShorts Film Festival (en)         |           |         |
| 2010 HollyShorts Film Festival (fb:m.010c4wpw)         | 2010 HollyShorts Film Festival (en)         |           |         |
| 2008 HollyShorts Film Festival (fb:m.010c586w)         | 2008 HollyShorts Film Festival (en)         |           |         |
| ...                                                    | ...                                         | ...       | ...     |
| 2007 ARPA International Film Festival (fb:m.010l2ckx)  | 2007 ARPA International Film Festival (en)  |           |         |
| 2009 ARPA International Film Festival (fb:m.010l2clh)  | 2009 ARPA International Film Festival (en)  |           |         |
| 2010 Hollywood Brazilian Film Festival (fb:m.010r49j2) | 2010 Hollywood Brazilian Film Festival (en) |           |         |
| 2011 Hollywood Brazilian Film Festival (fb:m.010r49jk) | 2011 Hollywood Brazilian Film Festival (en) |           |         |
| 2012 Hollywood Brazilian Film Festival (fb:m.010r49js) | 2012 Hollywood Brazilian Film Festival (en) |           |         |

[Assistant]
The events linked to Hollywood, CA in the knowledge graph seem to be mostly film festivals from past years, and they do not have start or end dates listed. This data does not seem to provide current or upcoming events for this weekend.

Since the knowledge graph does not have up-to-date event information for Hollywood, CA this weekend, I cannot provide a satisfactory SPARQL query to answer the user's question based on this knowledge graph.

I will now cancel with an explanation.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.07ssc ( fb:location.country.languages_spoken | fb:location.country.official_language ) ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| language                           | languageLabel              |
| ---------------------------------- | -------------------------- |
| Cornish Language (fb:m.01v0g)      | Cornish Language (en)      |
| English Language (fb:m.02h40lc)    | English Language (en)      |
| Esperanto Language (fb:m.02jcw)    | Esperanto Language (en)    |
| Irish (fb:m.03x42)                 | Irish (en)                 |
| Scottish Gaelic (fb:m.070zw)       | Scottish Gaelic (en)       |
| Welsh Language (fb:m.083tk)        | Welsh Language (en)        |
| British Sign Language (fb:m.0ct8m) | British Sign Language (en) |
| Scots Language (fb:m.0h407)        | Scots Language (en)        |

People in the United Kingdom speak several languages including English, Cornish, Esperanto, Irish, Scottish Gaelic, Welsh, British Sign Language, and Scots.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 do people speak in uk?

[Assistant]
The user is asking about the languages spoken in the UK. To answer this, I need to find the entity for "United Kingdom" in the Freebase knowledge graph and then find the property that relates countries to the languages spoken there. Then I will query the languages spoken in the UK.

Step 1: Search for the entity "United Kingdom" in Freebase.

[Tool]
Top 10 entity alternatives:
1. United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country
2. United Kingdom (fb:m.0g9jnqz)
3. United Kingdom (fb:m.0gb3qxf)
4. United Kingdom (fb:m.0nfkbl): has type Musical Recording
5. United Kingdom (fb:m.0fr7h8): The United Kingdom pavilion is part of the World Showcase within...lorida. Its location is between the France and Canada pavilions., has type Location
6. United Kingdom (fb:m.036hlfh): has type Musical Release
7. United Kingdom (fb:m.02842y0): United Kingdom is the fourth album by American Music Club. It wa...rk Eitzel has composed about his long-term muse, Kathleen Burns., has type Musical Album
8. United Kingdom (fb:m.0wh7br): has type Musical Recording
9. UK, also known as United Kingdom (fb:m.0g0d_ms): Steve and the Deadly 60 team are on their home turf, the UK. The...iant web to demonstrate just what lethal killers spiders can be., has type TV Episode
10. United Kingdom (fb:m.079l6c5): Two men on a local council fight the system when forced with massive spending cuts., has type TV Episode

[Assistant] The entity for the United Kingdom as a country is fb:m.07ssc. Next, I will search for properties related to languages spoken or official languages for this entity.

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
6. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
7. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
8. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
9. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
10. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use

No other items found

[Assistant]
There are two relevant properties for languages spoken in the United Kingdom:
1. fb:location.country.languages_spoken
2. fb:location.country.official_language

I will query the languages spoken in the United Kingdom using these properties to get a comprehensive answer.

[Tool]
Got 8 rows and 2 columns:
| language                           | languageLabel              |
| ---------------------------------- | -------------------------- |
| Cornish Language (fb:m.01v0g)      | Cornish Language (en)      |
| English Language (fb:m.02h40lc)    | English Language (en)      |
| Esperanto Language (fb:m.02jcw)    | Esperanto Language (en)    |
| Irish (fb:m.03x42)                 | Irish (en)                 |
| Scottish Gaelic (fb:m.070zw)       | Scottish Gaelic (en)       |
| Welsh Language (fb:m.083tk)        | Welsh Language (en)        |
| British Sign Language (fb:m.0ct8m) | British Sign Language (en) |
| Scots Language (fb:m.0h407)        | Scots Language (en)        |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.02yy8 fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession fb:type.object.name ?professionLabel
  }
}

Got 224 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession              | professionLabel  |
| ----------------------- | ---------------- |
| Lawyer (fb:m.04gc2)     | Abogado (es)     |
| Lawyer (fb:m.04gc2)     | Abogado (es-419) |
| Lawyer (fb:m.04gc2)     | Abugado (fil)    |
| Lawyer (fb:m.04gc2)     | Advocat (ca)     |
| Lawyer (fb:m.04gc2)     | Advogado (pt)    |
| ...                     | ...              |
| Politician (fb:m.0fj9f) | นักการเมือง (th) |
| Politician (fb:m.0fj9f) | 정치인 (ko)         |
| Politician (fb:m.0fj9f) | 政治人物 (zh)        |
| Politician (fb:m.0fj9f) | 政治家 (ja)         |
| Politician (fb:m.0fj9f) | 政治家 (zh-Hant)    |

Franklin D. Roosevelt's professions before becoming president included being a Lawyer and a Politician.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 franklin d roosevelt's job before president?

[Assistant]
To answer the question about Franklin D. Roosevelt's job before he became president, I need to identify the entity for Franklin D. Roosevelt in the knowledge graph and then find properties related to his occupation or job before his presidency.

Step 1: Search for the entity "Franklin D. Roosevelt" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Franklin D. Roosevelt, also known as Houdini In the White House, Franklin Roosevelt, Pres. Franklin D. Roosevelt, President Franklin Delano Roosevelt, President Franklin D. Roosevelt (fb:m.02yy8): Franklin Delano Roosevelt, commonly known by his initials FDR, w...05, he married Eleanor Roosevelt, with whom he had six children., has type US President
2. Franklin D. Roosevelt, also known as Franklin D. Roosevelt, Paris (fb:m.02h_t7): Franklin D. Roosevelt is a station of the Paris Métro serving bo...elt is the fourteenth busiest station in the Paris Métro system., has type Transit Stop
3. Franklin Roosevelt, also known as President Franklin Delano Roosevelt, President Franklin D. Roosevelt, Roosevelt, Ruzvelt, Voice of Franklin Delano Roosevelt (fb:m.0kdxy8v): Franklin Roosevelt  is a fictional character from the 2012 film A Christmas Story 2., Fictional representation of President Franklin Delano Roosevelt., has type Film character
4. Franklin D. Roosevelt (fb:m.06s5wnm): Franklin D. Roosevelt is a serialized work written by Frank Burt Freidel., has type Book
5. Franklin D. Roosevelt (fb:m.0c8h4p1): has type Book Edition
6. Franklin D. Roosevelt D'Alesandro, also known as Roosie (fb:m.0vn1kft): Franklin D. Roosevelt D'Alesandro was the brother of Nancy Pelosi., has type Deceased Person
7. Franklin D Roosevelt (fb:m.0760h6t): has type School
8. Franklin D Roosevelt (fb:m.076lbz2): has type School
9. Franklin D Roosevelt (fb:m.076gshf): has type School
10. Franklin D Roosevelt (fb:m.076l0x7): has type School

[Assistant] The entity for Franklin D. Roosevelt in Freebase is fb:m.02yy8. Now I will search for properties related to his occupation or job before he became president. I will look for properties related to "job" or "occupation" for this entity.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Employment history (fb:people.person.employment_history): links to type Employment tenure, part of Person schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
6. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
9. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "Employment history" (fb:people.person.employment_history) seems relevant to find Franklin D. Roosevelt's job before he became president. I will now query the employment history of Franklin D. Roosevelt.

[Tool]
Got 1 row and 2 columns:
| employment   | employmentLabel |
| ------------ | --------------- |
| fb:m.0w7ntcv |                 |

[Assistant] There is one employment history entry for Franklin D. Roosevelt with the identifier fb:m.0w7ntcv, but it does not have a label. I will now explore the details of this employment entity to find out what job it represents.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                         | object                                                |
| ------------ | ------------------------------------------------ | ----------------------------------------------------- |
| fb:m.0w7ntcv | Type (fb:type.object.type)                       | Employment tenure (fb:business.employment_tenure)     |
| fb:m.0w7ntcv | Person (fb:business.employment_tenure.person)    | Franklin D. Roosevelt (fb:m.02yy8)                    |
| fb:m.0w7ntcv | Employer (fb:business.employment_tenure.company) | Federal government of the United States (fb:m.01bqks) |
| fb:m.0w7ntcv | Title (fb:business.employment_tenure.title)      | President (fb:m.0ynx29_)                              |
| fb:m.0w7ntcv | rdf:type                                         | Employment tenure (fb:business.employment_tenure)     |

[Assistant] The employment entity fb:m.0w7ntcv corresponds to Franklin D. Roosevelt's presidency job (title: President) at the Federal government of the United States. This is his job as president, but the question asks for his job before president. I will now search for other employment history entries for Franklin D. Roosevelt to find his job before becoming president.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                                                 | object       |
| ---------------------------------- | -------------------------------------------------------- | ------------ |
| Franklin D. Roosevelt (fb:m.02yy8) | Employment history (fb:people.person.employment_history) | fb:m.0w7ntcv |

[Assistant] There is only one employment history entry for Franklin D. Roosevelt in the knowledge graph, and it corresponds to his presidency. To find his job before president, I will try to search for other properties related to his career or occupation. I will search for properties with the keyword "occupation" for Franklin D. Roosevelt.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Employment history (fb:people.person.employment_history): links to type Employment tenure, part of Person schema
6. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
9. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
10. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) might provide information about Franklin D. Roosevelt's occupation. I will query the professions of Franklin D. Roosevelt.

[Tool]
Got 224 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession              | professionLabel  |
| ----------------------- | ---------------- |
| Lawyer (fb:m.04gc2)     | Abogado (es)     |
| Lawyer (fb:m.04gc2)     | Abogado (es-419) |
| Lawyer (fb:m.04gc2)     | Abugado (fil)    |
| Lawyer (fb:m.04gc2)     | Advocat (ca)     |
| Lawyer (fb:m.04gc2)     | Advogado (pt)    |
| ...                     | ...              |
| Politician (fb:m.0fj9f) | นักการเมือง (th) |
| Politician (fb:m.0fj9f) | 정치인 (ko)         |
| Politician (fb:m.0fj9f) | 政治人物 (zh)        |
| Politician (fb:m.0fj9f) | 政治家 (ja)         |
| Politician (fb:m.0fj9f) | 政治家 (zh-Hant)    |

[Assistant] Franklin D. Roosevelt's professions include "Lawyer" (fb:m.04gc2) and "Politician" (fb:m.0fj9f). To find his specific job before becoming president, I will look for more detailed employment or political positions he held before his presidency. I will search for political positions held by Franklin D. Roosevelt.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
4. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] There is no direct property for political positions held by Franklin D. Roosevelt in the knowledge graph. I will try a different approach by searching for organizations or memberships related to Franklin D. Roosevelt that might indicate his political roles before presidency.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                                                  | object       |
| ---------------------------------- | --------------------------------------------------------- | ------------ |
| Franklin D. Roosevelt (fb:m.02yy8) | Member of (fb:organization.organization_member.member_of) | fb:m.03w60vt |

[Assistant] Franklin D. Roosevelt is a member of the organization with the identifier fb:m.03w60vt. I will now check what this organization is to see if it relates to his job before presidency.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                                            | object                                                            |
| ------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.03w60vt | Type (fb:type.object.type)                                          | Organization membership (fb:organization.organization_membership) |
| fb:m.03w60vt | Organization (fb:organization.organization_membership.organization) | Alpha Delta Phi (fb:m.03tx10)                                     |
| fb:m.03w60vt | Member (fb:organization.organization_membership.member)             | Franklin D. Roosevelt (fb:m.02yy8)                                |
| fb:m.03w60vt | rdf:type                                                            | Organization membership (fb:organization.organization_membership) |

[Assistant] The organization membership fb:m.03w60vt corresponds to Franklin D. Roosevelt's membership in Alpha Delta Phi, which is a fraternity, not a job. I will try to find other ways to identify his job before presidency by searching for notable positions or offices he held. I will search for properties related to "office" or "position" for Franklin D. Roosevelt.

[Tool]
Top 10 property alternatives:
1. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
6. Appointment made (fb:people.appointer.appointment_made): links to type Appointment, part of Appointer schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] There is no direct property for office or position held by Franklin D. Roosevelt in the knowledge graph. Since the knowledge graph does not seem to have detailed information about his jobs before presidency, I will try to find his notable roles or titles by searching for properties related to "title" for Franklin D. Roosevelt.

[Tool]
Top 10 property alternatives:
1. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant] There is no direct property for titles held by Franklin D. Roosevelt other than his presidency. Since the knowledge graph does not have detailed information about his job before presidency, I will provide the professions found (Lawyer and Politician) as the closest answer to his job before president. I will now formulate the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?postal_code ?postal_code_label WHERE {
  fb:m.0fvxz fb:location.citytown.postal_codes ?postal_code .
  OPTIONAL {
    ?postal_code rdfs:label ?postal_code_label
  }
}

The zip codes for Trenton, New Jersey are 08628, 08618, 08638, 08610, 08619, 08605, 08604, 08603, 08602, and 08601.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 zip code for trenton?

[Assistant] To answer the question about the zip code for Trenton, I first need to identify the entity "Trenton" in the knowledge graph. Then, I will look for properties related to postal codes or zip codes associated with that entity. I will start by searching for the entity "Trenton" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Trenton, also known as Trenton, NJ, Trenton, New Jersey, Mercer County / Trenton city (fb:m.0fvxz): Trenton is the capital city of the U.S. state of New Jersey and ...Trenton was formed within Trenton Township on November 13, 1792., has type City/Town/Village
2. Trenton, also known as Trenton, Michigan, Wayne County / Trenton city (fb:m.0vry4): Trenton is a small city in Wayne County in the southeast portion...m and was the first county park in Michigan, designated in 1919., has type City/Town/Village
3. Trenton, also known as Gilchrist County / Trenton city, Trenton, Florida (fb:m.0rksn): Trenton is a city in Gilchrist County, Florida, United States. T... as of April 1, 2008. It is the county seat of Gilchrist County., has type City/Town/Village
4. Trenton, also known as Trenton, Illinois, Clinton County / Trenton city (fb:m.0s4bc): Trenton is a town in Clinton County, Illinois, United States. The population was 3,184 at the 2010 census., has type City/Town/Village
5. Trenton, also known as Cache County / Trenton town, Trenton, Utah (fb:m.010dk_): Trenton is a town in Cache County, Utah, United States. The popu...included in the Logan, Utah-Idaho Metropolitan Statistical Area., has type City/Town/Village
6. Trenton, also known as Gibson County / Trenton city, Trenton, Tennessee (fb:m.0_txt): Trenton is a city in Gibson County, Tennessee. The population wa...is the county seat of Gibson County, and its third largest city., has type City/Town/Village
7. Trenton, also known as Dade County / Trenton city, Trenton, Georgia (fb:m.0rvq2): Trenton is a city in Dade County, Georgia, United States. Founde...50MPH hit the city, causing significant damage and loss of life., has type City/Town/Village
8. Trenton, also known as Edgefield County / Trenton town, Trenton, South Carolina (fb:m.0_lhg): Trenton is a town in Edgefield County, South Carolina, United St...00 census. It is part of the Augusta, Georgia metropolitan area., has type City/Town/Village
9. Trenton, also known as Trenton, Texas, Fannin County / Trenton city (fb:m.010123): Trenton is a city in Fannin County, Texas, United States. The population was 635 at the 2010 census., has type City/Town/Village
10. Trenton, also known as Butler County / Trenton city, Trenton, Ohio (fb:m.0ytcc): Trenton is a city in northeastern Butler County, Ohio, United St...in Wayne Township. The population was 11,869 at the 2010 census., has type City/Town/Village

[Assistant]
There are multiple entities named "Trenton" in the knowledge graph, including Trenton in New Jersey, Michigan, Florida, Illinois, Utah, Tennessee, Georgia, South Carolina, Texas, and Ohio. Since the most well-known Trenton is the capital city of New Jersey, I will focus on that entity (fb:m.0fvxz) for the zip code information.

Next, I will search for properties related to zip code or postal code for the entity Trenton, New Jersey (fb:m.0fvxz).

[Tool]
Top 10 property alternatives:
1. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
2. Area code (fb:base.wikipedia_infobox.settlement.area_code): part of Settlement schema, links to type Area code
3. Total Residential Addresses (fb:location.hud_foreclosure_area.total_residential_addresses): part of HUD Foreclosure Area schema, links to type Dated Integer
4. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
5. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
6. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
7. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Postal codes" (fb:location.citytown.postal_codes) is related to zip codes for the entity Trenton, New Jersey (fb:m.0fvxz). I will now query the postal codes for Trenton, New Jersey using this property.

[Tool]
Got 27 rows and 2 columns, showing the first 5 and last 5 rows below:
| postal_code          | postal_code_label |
| -------------------- | ----------------- |
| 08628 (fb:m.0206ng_) | 08628 (en)        |
| 08618 (fb:m.0206njw) | 08618 (en)        |
| 08638 (fb:m.0206nlg) | 08638 (en)        |
| 08610 (fb:m.0206qfx) | 08610 (en)        |
| 08619 (fb:m.0206qgw) | 08619 (en)        |
| ...                  | ...               |
| 08605 (fb:m.07nrtpr) | 08605 (en)        |
| 08604 (fb:m.07nrtpz) | 08604 (en)        |
| 08603 (fb:m.07nrtq5) | 08603 (en)        |
| 08602 (fb:m.07nrtqd) | 08602 (en)        |
| 08601 (fb:m.07nrtqm) | 08601 (en)        |

[Tool] Stopped generation process


Failed to generate SPARQL query

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

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 did romo do?

[Assistant] The question "what did romo do?" is ambiguous because "Romo" could refer to different entities such as a person, a character, or something else. To clarify, I will first search for entities named "Romo" in the Freebase knowledge graph to identify possible relevant entities. Then, I will explore the properties related to the identified entity to understand what kind of actions or activities "Romo" is associated with.

[Tool]
Top 10 entity alternatives:
1. Rømø, also known as Rømø, Denmark (fb:m.05_gkj): Rømø is a Danish island in the Wadden Sea. Rømø is part of Tønde...any and was part of the Prussian province of Schleswig-Holstein., has type Geographical Feature
2. Romo, also known as Romo (fb:m.0dq5yyl): has type Musical Artist, Romo is a musician.
3. Bill Romanowski, also known as Romo, William Thomas Romanowski (fb:m.03rsd2): William Thomas "Bill" Romanowski is a former American football p...n 1996 and 1998, both during his tenure with the Denver Broncos., has type American football player
4. Romo (fb:m.011sg4_6): has type Film
5. Romo (fb:m.05_m_y): Romantic Modernism, more commonly known as Romo, was a musical a...e orientated club nights which would continue through the 2000s., has type Musical genre
6. Romo (fb:m.0p97c1z): Romo is a fictional character from the 1937 film Jim Hanvey, Detective., has type Film character
7. Romo (fb:m.09ntqyn): has type Fictional Character
8. RoMo (fb:m.05k6897): has type School mascot
9. RoMo (fb:m.05ghys2): has type Mascot
10. Daniela Romo, also known as Romo, Daniela, Teresa Presmanes Corona (fb:m.01p3wsp): Daniela Romo is a Mexican singer, actress and TV hostess. Her pa...s for inspiring her to become an actress and a recording artist., has type Musical Artist

[Assistant] There are multiple entities named "Romo" including a musical artist, an American football player nicknamed Romo, a film, a musical genre, fictional characters, mascots, and a Mexican singer/actress. To provide a meaningful answer, I need to know which "Romo" the user is referring to. Could you please specify if you mean the musician, the football player, the film, or another Romo?


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?languageLabel WHERE {
  fb:m.0chghy fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| English Language (fb:m.02h40lc) | English Language (en)   |
| Esperanto Language (fb:m.02jcw) | Esperanto Language (en) |
| Lojban (fb:m.04gd7)             | Lojban (en)             |

Australians primarily speak English. Other languages listed include Esperanto and Lojban, but English is the main language spoken in Australia.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 language does australians speak?

[Assistant] To answer the question "What language do Australians speak?" I will first identify the entity for "Australians" which likely corresponds to the country Australia or the people of Australia. Then I will look for properties related to languages spoken by that entity. Let's start by searching for the entity "Australia" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as Commonwealth of Australia, The Commonwealth of Australia (fb:m.0chghy): Australia, officially the Commonwealth of Australia, is an Ocean...e six colonies federated, forming the Commonwealth of Australia., has type Country
2. Australian Continent, also known as Australia, Down Under (fb:m.09pkq0): Australia, sometimes known in technical contexts by the names Sa...o the now-separate islands are considered part of the continent., has type Continent
3. Australia, also known as Austrália (fb:m.026qnh6): Australia is a 2008 Australian-American-British epic historical ...tes throughout late December 2008 and January and February 2009., Australia is an Australian romance film-epic film directed by Ba...o face the bombing of Darwin, Australia, by the Japanese forces., has type Award-Winning Work
4. Government of Australia, also known as Australia, Australian Government (fb:m.04jrx3): The Government of the Commonwealth of Australia, also referred t...presentative democracy, with important elements of both present., has type Organization founder
5. Australia, also known as Sehnsucht nach Australien (fb:m.09rtv7m): Australia is a 1989 film directed by Jean-Jacques Andrien., has type Film
6. Australia (fb:m.0pylm8): has type Musical Recording
7. Muscles, also known as Australia (fb:m.0cj7gw3): Muscles is a 2009 short film written and directed by Edward Housden., has type Film
8. Australia, also known as Australia, Australia (single version) (fb:m.0qww94): has type Musical Recording
9. Australia (fb:m.0kpg4sd): "Australia" was released by Manic Street Preachers on 2 December... later feature on the Lipstick Traces compilation album in 2003., Australia is a song by Manic Street Preachers., Australia is a composition., has type TV theme song
10. Australia (fb:m.0c8xkn): Australia: Aufbruch ins Abenteuer is a board game intended for t...develop several national parks, and other conservation projects., has type Game

[Assistant] The entity "Australia" as a country is identified with the IRI fb:m.0chghy. Now I will search for properties related to languages spoken by this entity. I will search for properties related to "language" for the entity Australia (fb:m.0chghy).

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
5. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
6. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
7. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
8. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
9. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
10. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

No other items found

[Assistant] The property "Languages spoken" (fb:location.country.languages_spoken) is relevant for the entity Australia (fb:m.0chghy) to find the languages spoken in Australia. I will now construct a SPARQL query to retrieve the languages spoken in Australia using this property.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| English Language (fb:m.02h40lc) | English Language (en)   |
| Esperanto Language (fb:m.02jcw) | Esperanto Language (en) |
| Lojban (fb:m.04gd7)             | Lojban (en)             |

[Assistant] The languages spoken in Australia according to the knowledge graph are English Language, Esperanto Language, and Lojban. The primary and most widely spoken language is English. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?actor ?actorName WHERE {
  fb:m.02qd_td fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?performance fb:film.performance.character fb:m.02qd_td .
  OPTIONAL {
    ?actor rdfs:label ?actorName
  }
}
LIMIT 10

Got 10 rows and 2 columns:
| actor                        | actorName            |
| ---------------------------- | -------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (ca)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (cs)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (da)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (de)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (es)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (et)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (fi)  |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (fil) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (fr)  |

The actor who played Jacob Black in Twilight is Taylor Lautner.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 played jacob black in twilight?

[Assistant]
To answer the question "Who played Jacob Black in Twilight?" I need to identify the entity for "Jacob Black," the entity for the movie "Twilight," and the property that relates an actor to a character in a movie.

Step 1: Search for the entity "Jacob Black" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
2. Jacob Black (fb:m.0g7tl26): has type Musical Recording
3. Jacob Black (fb:m.0124dfnr)
4. Jacob Black (fb:m.012v1ds4)
5. Jacob Black (fb:m.0m_hsqg)
6. Jack Black, also known as Jables, JB, Tenacious D, Thomas Jacob Black, Thomas Jacob "Jack" Black (fb:m.01vsn38): Thomas Jacob "Jack" Black is an American actor, comedian, singer...roup Tenacious D, which he formed in 1994 with friend Kyle Gass., has type Celebrity
7. Black jacobin (fb:m.02vtsld): The black jacobin, previously placed in the monotypic Melanotroc... "females", have a distinctive rufous patch in the malar region., has type Organism Classification
8. The Black Jacobins, also known as black Jacobins (fb:m.0265r1x): The Black Jacobins: Toussaint L'Ouverture and the San Domingo Re...s, and "free" blacks and mulattoes leading up to the Revolution., has type Book
9. Jacob Black-Michaud (fb:m.0c4btg3): has type Author
10. Jacob Blackburn (fb:m.0j1gytw): Jacob Blackburn is a fictional character from the 2011 film Monster Brawl., has type Film character

[Assistant] I found the entity for Jacob Black as a film character in the Twilight series: fb:m.02qd_td. Next, I will search for the property that relates an actor to a character in a movie to find out who played Jacob Black. I will search for properties related to "actor" or "played by" for the entity Jacob Black (fb:m.02qd_td).

[Tool]
Top 10 property alternatives:
1. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): part of Fictional Character schema, links to type Fictional Setting
2. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
3. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
4. Character Created By (fb:fictional_universe.fictional_character.character_created_by): links to type Fictional Character Creator, part of Fictional Character schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Romantically involved with (fb:fictional_universe.fictional_character.romantically_involved_with): links to type Romantic involvement, part of Fictional Character schema
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Character ID (fb:imdb.topic.character_id): links to type Enumeration, part of Topic schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) seems relevant as it links the character to a film performance. I will now explore the objects of this property for the entity Jacob Black (fb:m.02qd_td) to find the film performance and then identify the actor who played him.

[Tool]
Got 5 rows and 3 columns:
| subject                    | property                                                       | object       |
| -------------------------- | -------------------------------------------------------------- | ------------ |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.04z4zmg |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.05tflhw |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.075wxc2 |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0b68zn5 |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0djz10s |

[Assistant] Jacob Black is portrayed in several films (fb:m.04z4zmg, fb:m.05tflhw, fb:m.075wxc2, fb:m.0b68zn5, fb:m.0djz10s). These are likely the Twilight series films. Now, I will find the actors who performed in these films as Jacob Black. I will check the property "film performance" to actor relation for one of these film performances, e.g., fb:m.04z4zmg.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                  | object                                 |
| ------------ | ----------------------------------------- | -------------------------------------- |
| fb:m.04z4zmg | Type (fb:type.object.type)                | Film performance (fb:film.performance) |
| fb:m.04z4zmg | Actor (fb:film.performance.actor)         | Taylor Lautner (fb:m.07ldhs)           |
| fb:m.04z4zmg | Film (fb:film.performance.film)           | Twilight (fb:m.03nm_fh)                |
| fb:m.04z4zmg | Character (fb:film.performance.character) | Jacob Black (fb:m.02qd_td)             |
| fb:m.04z4zmg | rdf:type                                  | Film performance (fb:film.performance) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?religion ?religionLabel WHERE {
  fb:m.09c7w0 fb:location.statistical_region.religions ?religionPercentage .
  ?religionPercentage fb:location.religion_percentage.religion ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel .
    FILTER ( lang( ?religionLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| religion                            | religionLabel               |
| ----------------------------------- | --------------------------- |
| Christianity (fb:m.01lp8)           | Christianity (en)           |
| Judaism (fb:m.03_gx)                | Judaism (en)                |
| Hinduism (fb:m.03j6c)               | Hinduism (en)               |
| Unitarian Universalism (fb:m.07w8f) | Unitarian Universalism (en) |
| Buddhism (fb:m.092bf5)              | Buddhism (en)               |
| Islam (fb:m.0flw86)                 | Islam (en)                  |
| Atheism (fb:m.0kpl)                 | Atheism (en)                |
| Atheism (fb:m.0kpl)                 | Atheism (en)                |

The types of religions in the United States include Christianity, Judaism, Hinduism, Unitarian Universalism, Buddhism, Islam, and Atheism.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 type of religions are in the united states?

[Assistant]
To answer the question "What type of religions are in the United States?", I need to identify the entity representing the United States and then find the religions associated with it.

Step 1: Search for the entity "United States" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country
2. Federal government of the United States, also known as American Government, US Government, U.S. government, US Federal government, United States government (fb:m.01bqks): The government of the United States of America is the federal go...ften used, and the term "National Government" is sometimes used., has type Organization founder
3. United States (fb:m.0dvxqk): United States is a half-hour comedy-drama that NBC added to its ... Bob can go out and get yourselves one redhead with two straws.", has type TV Program
4. United States (fb:m.0dmmqxb): has type Musical Recording
5. United States (fb:m.0829w2d): has type Book Edition
6. United States... (fb:m.03987_d): has type Musical Release
7. United States (fb:m.0qhhg_4): has type Consumer product
8. United States (fb:m.05q8l00): United States is the first full length hard rock collaborative a...oration has been described as a cross between Queen and Mr. Big., has type Musical Album
9. United States (fb:m.0qhgg6l): has type Consumer product
10. United States (fb:m.011kfnhv): has type Musical Release

[Assistant]
The entity representing the United States of America is fb:m.09c7w0.

Step 2: Now I will search for properties related to religion for the entity "United States of America" (fb:m.09c7w0) to find how religions are represented for this country.

[Tool]
Top 10 property alternatives:
1. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
2. Universe (fb:fictional_universe.fictional_setting.universe): links to type Fictional Universe, part of Fictional Setting schema
3. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
4. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
5. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
6. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
7. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
8. Charities (fb:base.charities.geographic_scope.charities): part of Geographic scope schema, links to type Charity
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Parent (fb:organization.organization.parent): links to type Organization Relationship, part of Organization schema

No other items found

[Assistant]
The property "Religions" (fb:location.statistical_region.religions) is related to religion for the entity United States of America (fb:m.09c7w0). This property links to a type "Religion percentage," which likely contains information about different religions in the region.

Step 3: I will now query the religions associated with the United States of America using this property. I will also try to get the labels of these religions for better readability.

[Tool]
Got 8 rows and 2 columns:
| religion                            | religionLabel               |
| ----------------------------------- | --------------------------- |
| Christianity (fb:m.01lp8)           | Christianity (en)           |
| Judaism (fb:m.03_gx)                | Judaism (en)                |
| Hinduism (fb:m.03j6c)               | Hinduism (en)               |
| Unitarian Universalism (fb:m.07w8f) | Unitarian Universalism (en) |
| Buddhism (fb:m.092bf5)              | Buddhism (en)               |
| Islam (fb:m.0flw86)                 | Islam (en)                  |
| Atheism (fb:m.0kpl)                 | Atheism (en)                |
| Atheism (fb:m.0kpl)                 | Atheism (en)                |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?professionLabel ?workLabel WHERE {
  fb:m.0w6w fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( LANG( ?professionLabel ) = "en" )
  }
  OPTIONAL {
    fb:m.0w6w fb:book.author.works_written ?work .
    ?work rdfs:label ?workLabel .
    FILTER ( LANG( ?workLabel ) = "en" )
  }
}

Got 282 rows and 2 columns, showing the first 5 and last 5 rows below:
| professionLabel  | workLabel                                                       |
| ---------------- | --------------------------------------------------------------- |
| Philosopher (en) | Against Academicians and the Teacher (en)                       |
| Philosopher (en) | De moribus ecclesiae catholicae et de moribus Manichaeorum (en) |
| Philosopher (en) | City of God (en)                                                |
| Philosopher (en) | The Confessions of St. Augustine (en)                           |
| Philosopher (en) | On the Trinity (en)                                             |
| ...              | ...                                                             |
| Writer (en)      | Tractates on the Gospel of John (en)                            |
| Writer (en)      | Treatises on various subjects (en)                              |
| Writer (en)      | The Trinity (en)                                                |
| Writer (en)      | De doctrina christiana (en)                                     |
| Writer (en)      | Soliloquies of Augustine (en)                                   |

St. Augustine (Augustine of Hippo) was a Philosopher, Physician, and Writer. He wrote many works, including notable ones such as "Against Academicians and the Teacher," "De moribus ecclesiae catholicae et de moribus Manichaeorum," "City of God," "The Confessions of St. Augustine," "Tractates on the Gospel of John," "The Trinity," "De doctrina christiana," and "Soliloquies of Augustine."

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 did st augustine do?

[Assistant]
The question "What did St. Augustine do?" is quite broad. St. Augustine is a historical figure known primarily as a theologian, philosopher, and bishop. To provide a precise answer, I need to identify the entity "St. Augustine" in the knowledge graph and then explore relevant properties that describe his activities or roles, such as occupation, notable works, or contributions.

Step 1: Search for the entity "St. Augustine" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Augustine of Hippo, also known as St. Austin, St. Augustine the Blessed, St. Augustine, St. Augustin, St. Augoustinos (fb:m.0w6w): Augustine of Hippo, also known as Saint Augustine or Saint Austi... spiritual City of God, distinct from the material Earthly City., has type Religious Leader
2. St. Augustine, also known as St. Johns County / St. Augustine city, St. Augustine, Florida, St. Augustine, FL, Saint Augustine, Florida, Saint Augustine (fb:m.0rs6x): St. Augustine is a city in northeast Florida and the oldest cont...storical character has made the city a major tourist attraction., has type City/Town/Village
3. Augustine of Canterbury, also known as St Augustine (fb:m.011xr): Augustine of Canterbury was a Benedictine monk who became the fi...cluding thousands during a mass baptism on Christmas Day in 597., has type Religious Leader
4. St. Augustine, also known as Saint Augustine, St. Augustine, Illinois, Saint Augustine, Illinois, Knox County / St. Augustine village (fb:m.0s9jk): St. Augustine is a village in Knox County, Illinois, United Stat...nsus. It is part of the Galesburg Micropolitan Statistical Area., has type City/Town/Village
5. Saint Augustine, also known as Saint Augustine, Trinidad and Tobago, St. Augustine, St. Augustine, Trinidad (fb:m.05jjd8): St. Augustine is a town in the north-west of Trinidad and Tobago., has type City/Town/Village
6. St Augustine, also known as François-Régis Croisier, St. Augustine (fb:m.0xlkgmn): St. Augustine is a musical artist., has type Musical Artist
7. St. Augustine, also known as Saint Augustine, St. Agustine School (fb:m.05bj854): St. Agustine is a catholic school in Ottawa, Ontario., has type School
8. St Augustine (fb:m.093c6j0): has type Book Edition
9. St. Augustine, also known as Saint Augustine (fb:m.018j40v): has type Musical Recording
10. St. Augustine, also known as Saint Augustine (fb:m.0rhf1r): has type Musical Recording

[Assistant] The most relevant entity for "St. Augustine" is "Augustine of Hippo" (fb:m.0w6w), who is known as St. Augustine, a religious leader and theologian. Now, I will search for properties related to what Augustine of Hippo did, such as occupation, notable works, or contributions. I will search for properties of this entity that might describe his activities or roles.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) seems relevant to describe what St. Augustine did. I will now query the professions of Augustine of Hippo using this property.

[Tool]
Got 3 rows and 2 columns:
| profession                 | professionLabel  |
| -------------------------- | ---------------- |
| Philosopher (fb:m.02h6fbs) | Philosopher (en) |
| Physician (fb:m.05t4q)     | Physician (en)   |
| Writer (fb:m.0cbd2)        | Writer (en)      |

[Assistant] St. Augustine (Augustine of Hippo) had the professions of Philosopher, Physician, and Writer. To provide a more comprehensive answer, I will also check if there are notable works or key contributions associated with him. I will search for properties related to notable works or contributions for Augustine of Hippo.

[Tool]
Top 10 property alternatives:
1. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
4. Artwork on the Subject (fb:visual_art.art_subject.artwork_on_the_subject): part of Art Subject schema, links to type Artwork
5. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
10. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node

No other items found

[Assistant] The property "Works written" (fb:book.author.works_written) seems relevant to describe what St. Augustine did in terms of his writings. I will now query the works written by Augustine of Hippo using this property.

[Tool]
Got 95 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                                                       | workLabel                                                       |
| -------------------------------------------------------------------------- | --------------------------------------------------------------- |
| fb:g.121pw5_6                                                              |                                                                 |
| Against Academicians and the Teacher (fb:m.010v031y)                       | Against Academicians and the Teacher (en)                       |
| De moribus ecclesiae catholicae et de moribus Manichaeorum (fb:m.012dv835) | De moribus ecclesiae catholicae et de moribus Manichaeorum (en) |
| City of God (fb:m.0281p7)                                                  | City of God (en)                                                |
| The Confessions of St. Augustine (fb:m.02xk96)                             | The Confessions of St. Augustine (en)                           |
| ...                                                                        | ...                                                             |
| Tractates on the Gospel of John (fb:m.0c1x_sj)                             | Tractates on the Gospel of John (en)                            |
| Treatises on various subjects (fb:m.0c1x_sm)                               | Treatises on various subjects (en)                              |
| The Trinity (fb:m.0c1x_sq)                                                 | The Trinity (en)                                                |
| De doctrina christiana (fb:m.0c5v3w)                                       | De doctrina christiana (en)                                     |
| Soliloquies of Augustine (fb:m.0gvv9j2)                                    | Soliloquies of Augustine (en)                                   |

[Assistant]
St. Augustine (Augustine of Hippo) was a Philosopher, Physician, and Writer. He wrote many works, including notable ones such as "Against Academicians and the Teacher," "De moribus ecclesiae catholicae et de moribus Manichaeorum," "City of God," "The Confessions of St. Augustine," "Tractates on the Gospel of John," "The Trinity," "De doctrina christiana," and "Soliloquies of Augustine."

I will now provide this information as the answer.

[Tool] Stopped generation process