PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0f2wj fb:location.location.contains ?place .
  ?place rdf:type ?type .
  ?type rdfs:label ?typeLabel .
  FILTER ( LANG( ?typeLabel ) = "en" ) FILTER ( CONTAINS( LCASE( ?typeLabel ) , "theater" ) || CONTAINS( LCASE( ?typeLabel ) , "museum" ) || CONTAINS( LCASE( ?typeLabel ) , "attraction" ) || CONTAINS( LCASE( ?typeLabel ) , "venue" ) || CONTAINS( LCASE( ?typeLabel ) , "amphitheatre" ) || CONTAINS( LCASE( ?typeLabel ) , "comedy" ) ) OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
LIMIT 20

Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| place                                                          | placeLabel                                           |
| -------------------------------------------------------------- | ---------------------------------------------------- |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| ArcLight Hollywood (fb:m.027ch4v)                              | ArcLight Hollywood (en)                              |
| Hollywood Boulevard (fb:m.035zpq)                              | Hollywood Boulevard (en)                             |
| Los Angeles Fire Department Museum and Memorial (fb:m.047ccky) | Los Angeles Fire Department Museum and Memorial (en) |
| Hollywood Palladium (fb:m.048hm5)                              | Hollywood Palladium (en)                             |
| ...                                                            | ...                                                  |
| Boardner's by La Belle (fb:m.0k8h6b1)                          | Boardner's by La Belle (en)                          |
| Madame Tussauds Hollywood (fb:m.0k8w63b)                       | Madame Tussauds Hollywood (en)                       |
| Write Act Repertory Company (fb:m.0kfbh1t)                     | Write Act Repertory Company (en)                     |
| Factory & Ultra Suede (fb:m.0l1p4n4)                           | Factory & Ultra Suede (en)                           |
| Bardot (fb:m.0lfzrck)                                          | Bardot (en)                                          |

Here are some notable places to visit in Hollywood, CA that offer entertainment and attractions: Pantages Theatre, ArcLight Hollywood, Hollywood Boulevard, Los Angeles Fire Department Museum and Memorial, Hollywood Palladium, TCL Chinese Theatre, Hotel Café, Laugh Factory, John Anson Ford Amphitheatre, ACME Comedy Theatre, Boardner's by La Belle, Madame Tussauds Hollywood, Write Act Repertory Company, Factory & Ultra Suede, and Bardot. These places are great options for things to do in Hollywood generally. However, the Freebase knowledge graph does not have specific event data for this weekend, so for weekend-specific activities, I recommend checking local event listings or websites.

[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 and dynamic question that typically involves current events, entertainment, and local attractions. The Freebase knowledge graph mainly contains structured data about entities, their properties, and relationships, but it may not have up-to-date event or activity listings for a specific weekend.

I will first check if there are any notable places or entertainment venues in Hollywood, CA that are commonly associated with events or activities. Then I can try to find any events or activities linked to those places or the location itself.

Step 1: Search for the entity "Hollywood, CA" to get its identifier in Freebase.

[Tool]
Top 10 entity alternatives:
1. 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
2. Hollywood, California (fb:m.0vyrbr): has type Musical Recording
3. Hollywood, California (fb:m.07lfx5b): has type TV Episode
4. Hollywood, California (fb:m.07lfx0m): has type TV Episode
5. Hollywood, California (fb:m.07lfx2c): has type TV Episode
6. Hollywood, California (fb:m.03q6g5v): has type Artwork
7. Hollywood, California (fb:m.03q6sf7): has type Artwork
8. Hollywood, California (fb:m.0lpljsl)
9. West Hollywood, also known as West Hollywood, California, Los Angeles County / West Hollywood city (fb:m.0r15k): West Hollywood, colloquially referred to as WeHo, is a city in w...ation was 34,399. As of 2013, 39% of its residents were gay men., has type City/Town/Village
10. North Hollywood, also known as North Hollywood, Calif., North Hollywood, California, North Hollywood, Los Angeles, California (fb:m.0284jb): North Hollywood is a neighborhood in the San Fernando Valley reg...llywood by several neighborhoods and the Santa Monica Mountains., has type Statistical region

[Assistant]
The most relevant entity for Hollywood, CA as a location is fb:m.0f2wj, which is a neighborhood in Los Angeles.

Step 2: I will now search for notable places or entertainment venues in Hollywood, CA (fb:m.0f2wj) that might have events or activities. I will look for properties related to entertainment venues or events for this entity.

[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 fb:location.location.events is linked to the type Event and is associated with the location Hollywood, CA (fb:m.0f2wj). This property can be used to find events happening in Hollywood.

Step 3: I will query for events in Hollywood, CA (fb:m.0f2wj) using the property fb:location.location.events. Since the user asked for events this weekend, I will try to filter events by date if date information is available. I will first check the structure of events linked to Hollywood to see if they have date properties.

[Tool]
Got 10 rows and 4 columns:
| 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 HollyShorts Film Festival (fb:m.010c5bhk) | 2007 HollyShorts Film Festival (en) |           |         |
| 2006 HollyShorts Film Festival (fb:m.010c5f05) | 2006 HollyShorts Film Festival (en) |           |         |
| 2005 HollyShorts Film Festival (fb:m.010c5kv4) | 2005 HollyShorts Film Festival (en) |           |         |
| 2013 Feel Good Film Festival (fb:m.010fp_w4)   | 2013 Feel Good Film Festival (en)   |           |         |
| 2012 Feel Good Film Festival (fb:m.010fp_xq)   | 2012 Feel Good Film Festival (en)   |           |         |

[Assistant]
The events linked to Hollywood, CA in Freebase are mostly film festivals from past years, and they do not have start or end dates listed. This indicates that the Freebase knowledge graph does not have current or upcoming event data for Hollywood, CA.

Step 4: Since Freebase does not have current event data, I will instead provide a SPARQL query that lists notable places or entertainment venues in Hollywood, CA where one might find activities or things to do. This can include theaters, museums, or other attractions.

I will query for notable places contained in Hollywood, CA (fb:m.0f2wj) using the property fb:location.location.contains and filter for places that have a type related to entertainment or attractions. I will also try to get their labels.

[Tool]
Got 10 rows and 2 columns:
| place                                                          | placeLabel                                           |
| -------------------------------------------------------------- | ---------------------------------------------------- |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| ArcLight Hollywood (fb:m.027ch4v)                              | ArcLight Hollywood (en)                              |
| ArcLight Hollywood (fb:m.027ch4v)                              | ArcLight Hollywood (en)                              |
| ArcLight Hollywood (fb:m.027ch4v)                              | ArcLight Hollywood (en)                              |
| Hollywood Boulevard (fb:m.035zpq)                              | Hollywood Boulevard (en)                             |
| Los Angeles Fire Department Museum and Memorial (fb:m.047ccky) | Los Angeles Fire Department Museum and Memorial (en) |

[Assistant]
I found some notable places in Hollywood, CA that are related to entertainment or attractions: Pantages Theatre, ArcLight Hollywood, Hollywood Boulevard, and Los Angeles Fire Department Museum and Memorial.

Since Freebase does not have current event data, I will provide these places as suggestions for things to do in Hollywood, CA this weekend.

Now I will formulate the final answer and SPARQL query to return these places with their labels.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer provides a good list of notable places to visit in Hollywood, CA this weekend, which aligns well with the user's question. The SPARQL query correctly retrieves places contained within Hollywood that are theaters, museums, attractions, or venues, which are relevant for entertainment and activities. However, the answer could be improved by including more of the places returned by the query, such as Hollywood Palladium, TCL Chinese Theatre, Hotel Café, Laugh Factory, John Anson Ford Amphitheatre, and ACME Comedy Theatre, to provide a more comprehensive set of options. Additionally, the query does not explicitly filter for events or activities specifically happening this weekend, so the answer might be more accurate if it mentioned that these are notable places to visit generally rather than specifically for this weekend. Overall, the output is sensible but could be refined for completeness and clarity.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| place                                                          | placeLabel                                           |
| -------------------------------------------------------------- | ---------------------------------------------------- |
| Pantages Theatre (fb:m.026vcdq)                                | Pantages Theatre (en)                                |
| ArcLight Hollywood (fb:m.027ch4v)                              | ArcLight Hollywood (en)                              |
| Hollywood Boulevard (fb:m.035zpq)                              | Hollywood Boulevard (en)                             |
| Los Angeles Fire Department Museum and Memorial (fb:m.047ccky) | Los Angeles Fire Department Museum and Memorial (en) |
| Hollywood Palladium (fb:m.048hm5)                              | Hollywood Palladium (en)                             |
| ...                                                            | ...                                                  |
| Boardner's by La Belle (fb:m.0k8h6b1)                          | Boardner's by La Belle (en)                          |
| Madame Tussauds Hollywood (fb:m.0k8w63b)                       | Madame Tussauds Hollywood (en)                       |
| Write Act Repertory Company (fb:m.0kfbh1t)                     | Write Act Repertory Company (en)                     |
| Factory & Ultra Suede (fb:m.0l1p4n4)                           | Factory & Ultra Suede (en)                           |
| Bardot (fb:m.0lfzrck)                                          | Bardot (en)                                          |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer provides a good list of notable places to visit in Hollywood, CA, which is relevant to the user's question about what to do in Hollywood this weekend. However, the answer does not address the specific timeframe "this weekend" as the knowledge graph does not have event data for specific dates. It would be helpful to explicitly mention that the query retrieves general entertainment venues and attractions in Hollywood, but does not filter for events happening this weekend. Additionally, the SPARQL query is well-constructed to find places of interest by filtering types related to theaters, museums, attractions, venues, amphitheatres, and comedy. To improve, the answer could clarify the limitation regarding the timeframe and suggest that the user check local event listings for weekend-specific activities.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?languageLabel WHERE {
  fb:m.07ssc fb:location.country.languages_spoken ?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 UK 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 question is asking about the languages spoken in the UK. To answer this, I need to find the entity for the United Kingdom (UK) and then find the property that relates the UK to the languages spoken there. I will start by searching for the entity "United Kingdom" in the Freebase knowledge graph.

[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 most relevant entity for the United Kingdom as a country is fb:m.07ssc. Next, I will search for properties related to languages spoken in this entity. I will search for properties related to "language" for the entity fb:m.07ssc.

[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 related to languages for the United Kingdom entity:
1. Languages spoken (fb:location.country.languages_spoken)
2. Official Language (fb:location.country.official_language)

To answer the question "what do people speak in UK?", I will use the property "Languages spoken" (fb:location.country.languages_spoken) to get the languages spoken in the UK. I will now build and execute a SPARQL query to retrieve the languages spoken in the United Kingdom (fb:m.07ssc).

[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

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the languages spoken in the United Kingdom from the Freebase knowledge graph. It returns both the identifiers and English labels of the languages, which is helpful for clarity. The answer lists all the languages found in the query result, which matches the execution result. The query uses the appropriate entity for the UK and the correct property for languages spoken. The output is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?profession ?professionLabel WHERE {
  fb:m.02yy8 fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( LANG( ?professionLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| profession                     | professionLabel       |
| ------------------------------ | --------------------- |
| Lawyer (fb:m.04gc2)            | Lawyer (en)           |
| Soldier (fb:m.099md)           | Soldier (en)          |
| Corporate lawyer (fb:m.09spnh) | Corporate lawyer (en) |
| Writer (fb:m.0cbd2)            | Writer (en)           |
| Politician (fb:m.0fj9f)        | Politician (en)       |

Franklin D. Roosevelt's jobs before he became president were Lawyer, Soldier, Corporate lawyer, Writer, and 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 will first search for the entity "Franklin D. Roosevelt" in the Freebase knowledge graph. Then, I will look for properties related to his occupation or job before he became president.

[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 is fb:m.02yy8. Now I will search for properties related to his occupation or job before he became president. I will start by searching for properties related to "occupation" or "job" for this entity.

[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 "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 to find his job before presidency.

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

[Assistant] Franklin D. Roosevelt has one employment history entry (fb:m.0w7ntcv) but it does not have a label in the query result. I will now list the properties of this employment entity to understand 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 history entry fb:m.0w7ntcv corresponds to Franklin D. Roosevelt's presidency (title: President) at the Federal government of the United States. This is his job as president, but we need to find his job before he became president.

I will now search for other employment history entries or other relevant properties that might indicate his job before presidency. I will try to find other employment history entries by querying if there are other employment tenures for Franklin D. Roosevelt.

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

[Assistant] There is only one employment tenure entry for Franklin D. Roosevelt in the knowledge graph, which corresponds to his presidency. I will now try to search for other properties related to his occupation or job before presidency by searching for properties with the query "job" or "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. 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 "Profession" (fb:people.person.profession) might indicate Franklin D. Roosevelt's job or occupation. I will query this property for Franklin D. Roosevelt to see if it provides information about his job before presidency.

[Tool]
Got 5 rows and 2 columns:
| profession                     | professionLabel       |
| ------------------------------ | --------------------- |
| Lawyer (fb:m.04gc2)            | Lawyer (en)           |
| Soldier (fb:m.099md)           | Soldier (en)          |
| Corporate lawyer (fb:m.09spnh) | Corporate lawyer (en) |
| Writer (fb:m.0cbd2)            | Writer (en)           |
| Politician (fb:m.0fj9f)        | Politician (en)       |

[Assistant] Franklin D. Roosevelt's professions include Lawyer, Soldier, Corporate lawyer, Writer, and Politician. These represent his jobs before he became president. To answer the question, I will provide these professions as his jobs before presidency.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Franklin D. Roosevelt's professions before he became president from the Freebase knowledge graph. The query returns the profession identifiers and their English labels, which is appropriate and informative. The answer listing Lawyer, Soldier, Corporate lawyer, Writer, and Politician is accurate and complete based on the data retrieved. No further refinement is necessary.


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 .
    FILTER ( LANG( ?postal_code_label ) = "en" )
  }
}

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 the zip code for the city/town/village entity. I will now query the postal codes for Trenton, New Jersey (fb:m.0fvxz) 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

[User]
Feedback (status=done):
The system correctly identified Trenton (fb:m.0fvxz) and retrieved multiple postal codes associated with it from the Freebase knowledge graph. The SPARQL query is well-formed, returning both the postal code identifiers and their English labels as optional information. The answer lists the postal codes accurately and comprehensively. No improvements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?entity ?entityLabel ?professionLabel WHERE {
  VALUES ?entity {
    fb:m.0dq5yyl fb:m.03rsd2 fb:m.01p3wsp
  }
  ?entity fb:people.person.profession ?profession .
  OPTIONAL {
    ?entity rdfs:label ?entityLabel .
    FILTER ( LANG( ?entityLabel ) = "en" )
  }
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( LANG( ?professionLabel ) = "en" )
  }
}

Got 7 rows and 3 columns:
| entity                        | entityLabel          | professionLabel               |
| ----------------------------- | -------------------- | ----------------------------- |
| Bill Romanowski (fb:m.03rsd2) | Bill Romanowski (en) | American football player (en) |
| Daniela Romo (fb:m.01p3wsp)   | Daniela Romo (en)    | Actor (en)                    |
| Bill Romanowski (fb:m.03rsd2) | Bill Romanowski (en) | Actor (en)                    |
| Romo (fb:m.0dq5yyl)           | Romo (en)            | Musician (en)                 |
| Daniela Romo (fb:m.01p3wsp)   | Daniela Romo (en)    | Singer (en)                   |
| Daniela Romo (fb:m.01p3wsp)   | Daniela Romo (en)    | TV Personality (en)           |
| Daniela Romo (fb:m.01p3wsp)   | Daniela Romo (en)    | Television presenter (en)     |

Romo can refer to several entities. Romo (musician) is a musician. Bill Romanowski, nicknamed Romo, was an American football player and actor. Daniela Romo is an actor, singer, television presenter, and TV personality.

[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 need to identify which "Romo" the user is referring to.

Step 1: Search for entities named "Romo" in the Freebase knowledge graph to understand possible candidates.

[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]
The search for "Romo" returned multiple entities including:
- Romo, a musical artist
- Bill Romanowski, an American football player nicknamed Romo
- Romo, a film
- Romo, a fictional character from a film
- Romantic Modernism (Romo), a musical genre
- Daniela Romo, a Mexican singer and actress

To answer "what did Romo do?" we need to know which Romo the user means. The most likely candidates are the musical artist Romo, Bill Romanowski (football player), or Daniela Romo (singer and actress).

Next, I will check what kind of activities or professions are associated with these entities to better understand what they "did." I will start by checking the properties of the musical artist Romo (fb:m.0dq5yyl).

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
3. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
9. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) is relevant to understand what the musical artist Romo did. I will now query the profession or notable activities of the musical artist Romo (fb:m.0dq5yyl).

[Tool]
Got 1 row and 3 columns:
| subject             | property                                 | object                |
| ------------------- | ---------------------------------------- | --------------------- |
| Romo (fb:m.0dq5yyl) | Profession (fb:people.person.profession) | Musician (fb:m.09jwl) |

[Assistant]
The musical artist Romo (fb:m.0dq5yyl) has the profession "Musician" (fb:m.09jwl). This indicates that Romo is a musician.

Next, I will check what Bill Romanowski (fb:m.03rsd2), nicknamed Romo, did by looking at his profession or notable activities.

[Tool]
Got 2 rows and 3 columns:
| subject                       | property                                 | object                                  |
| ----------------------------- | ---------------------------------------- | --------------------------------------- |
| Bill Romanowski (fb:m.03rsd2) | Profession (fb:people.person.profession) | Actor (fb:m.02hrh1q)                    |
| Bill Romanowski (fb:m.03rsd2) | Profession (fb:people.person.profession) | American football player (fb:m.02h665k) |

[Assistant]
Bill Romanowski (fb:m.03rsd2), nicknamed Romo, has the professions "Actor" and "American football player." This means he was involved in acting and American football.

Next, I will check what Daniela Romo (fb:m.01p3wsp) did by looking at her profession or notable activities.

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                                 | object                              |
| --------------------------- | ---------------------------------------- | ----------------------------------- |
| Daniela Romo (fb:m.01p3wsp) | Profession (fb:people.person.profession) | Actor (fb:m.02hrh1q)                |
| Daniela Romo (fb:m.01p3wsp) | Profession (fb:people.person.profession) | Singer (fb:m.09l65)                 |
| Daniela Romo (fb:m.01p3wsp) | Profession (fb:people.person.profession) | Television presenter (fb:m.0vpsd3h) |
| Daniela Romo (fb:m.01p3wsp) | Profession (fb:people.person.profession) | TV Personality (fb:m.0dypbr)        |

[Assistant]
Daniela Romo (fb:m.01p3wsp) has the professions "Actor," "Singer," "Television presenter," and "TV Personality." This means she is involved in acting, singing, and television presenting.

Since the user did not specify which Romo they meant, I will provide a summary of what the main Romos did based on the knowledge graph:
- Romo (musician) is a musician.
- Bill Romanowski (nicknamed Romo) was an American football player and actor.
- Daniela Romo is an actor, singer, television presenter, and TV personality.

I will now formulate the final answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified multiple entities named Romo and retrieved their professions, which answers the question "what did Romo do?" comprehensively. The SPARQL query is well-formed, uses the appropriate properties, and returns the entity identifiers along with their labels and professions in English. The answer clearly distinguishes between the different Romo entities and their respective professions, providing a complete and accurate response. No further refinement is necessary.


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

Got 115 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel   |
| ------------------------------- | --------------- |
| English Language (fb:m.02h40lc) | Anglais (fr)    |
| English Language (fb:m.02h40lc) | Anglès (ca)     |
| English Language (fb:m.02h40lc) | Angleščina (sl) |
| English Language (fb:m.02h40lc) | Angličtina (cs) |
| English Language (fb:m.02h40lc) | Angličtina (sk) |
| ...                             | ...             |
| Lojban (fb:m.04gd7)             | لوجبان (ar)     |
| Lojban (fb:m.04gd7)             | 로지반 (ko)        |
| Lojban (fb:m.04gd7)             | ロジバン (ja)       |
| Lojban (fb:m.04gd7)             | 逻辑语 (zh)        |
| Lojban (fb:m.04gd7)             | 邏輯語 (zh-Hant)   |

Australians primarily speak English, as indicated by the language English Language (fb:m.02h40lc) linked to 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 refers to the country Australia or its people. Then, I will look for properties related to languages spoken by this entity. I will 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. Next, I will search for properties related to languages spoken by this entity. I will search for properties of the entity "Australia" that are related to language.

[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 question. I will now query the languages spoken in Australia using this property.

[Tool]
Got 115 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel   |
| ------------------------------- | --------------- |
| English Language (fb:m.02h40lc) | Anglais (fr)    |
| English Language (fb:m.02h40lc) | Anglès (ca)     |
| English Language (fb:m.02h40lc) | Angleščina (sl) |
| English Language (fb:m.02h40lc) | Angličtina (cs) |
| English Language (fb:m.02h40lc) | Angličtina (sk) |
| ...                             | ...             |
| Lojban (fb:m.04gd7)             | لوجبان (ar)     |
| Lojban (fb:m.04gd7)             | 로지반 (ko)        |
| Lojban (fb:m.04gd7)             | ロジバン (ja)       |
| Lojban (fb:m.04gd7)             | 逻辑语 (zh)        |
| Lojban (fb:m.04gd7)             | 邏輯語 (zh-Hant)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Australians primarily speak English by querying the languages spoken in Australia. The SPARQL query is appropriate and returns the language identifiers along with labels in multiple languages, which is consistent with the knowledge graph data. The answer is accurate and complete for the user's question.


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 .
  ?actor rdfs:label ?actorName .
  FILTER ( LANG( ?actorName ) = "en" )
}

Got 5 rows and 2 columns:
| actor                        | actorName           |
| ---------------------------- | ------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |

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" and the entity for "Twilight" (the movie or series). Then, I need to find the property that links the character Jacob Black to the actor who played him in Twilight.

Step 1: Search for the entity "Jacob Black" in the 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]
The entity "Jacob Black" as a film character in the Twilight series is identified as fb:m.02qd_td. This entity matches the character Jacob Black from Twilight.

Step 2: Search for the property that links the character Jacob Black to the actor who played him. I will search for properties of the entity fb:m.02qd_td related to acting or portrayal.

[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 film performances, which likely include the actor who portrayed the character.

Step 3: I will query the film performances where Jacob Black was portrayed and retrieve the actors involved in those performances.

[Tool]
Got 5 rows and 2 columns:
| actor                        | actorName           |
| ---------------------------- | ------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the actor who played Jacob Black in Twilight, returning Taylor Lautner as expected. The query uses the appropriate entity for Jacob Black and the relevant properties to find the actor. Although the result contains duplicate rows, this does not affect the correctness of the answer. The human-readable answer is clear and accurate. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?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 7 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)                |

The types of religions in the United States, based on the available data, include Christianity, Judaism, Hinduism, Unitarian Universalism, Buddhism, Islam, and Atheism. This list may not be exhaustive but represents the religions linked to the United States in the 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 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 for the United States and then find the religions associated with it.

Step 1: Search for the entity "United States" in the Freebase 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 for the United States of America is identified as 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 or linked to this entity.

[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 linked to the United States entity and it points to a type "Religion percentage" which is part of the Statistical region schema. This property seems relevant for finding the types of religions in the United States.

Step 3: I will now query the religions associated with the United States using this property. I want to find the religions linked to the United States through this property.

[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

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the types of religions in the United States and their labels, which matches the answer provided. However, the result contains a duplicate entry for Atheism. The query should be refined to eliminate duplicates, for example by using DISTINCT in the SELECT clause. Also, the answer could mention that the list is based on the data retrieved and may not be exhaustive. Overall, the output is good but can be improved by removing duplicates and clarifying completeness.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to use DISTINCT to eliminate duplicate entries and update the answer to clarify that the list is based on the retrieved data and may not be exhaustive.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves distinct types of religions associated with the United States from the knowledge graph. It uses appropriate properties and entities, and the results include relevant religions such as Christianity, Judaism, Hinduism, Unitarian Universalism, Buddhism, Islam, and Atheism. The answer is clear, complete, and consistent with the query results. No further refinement is necessary.