PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?attraction ?attractionLabel WHERE {
  fb:m.0f2wj fb:travel.travel_destination.tourist_attractions ?attraction .
  OPTIONAL {
    ?attraction rdfs:label ?attractionLabel FILTER ( lang( ?attractionLabel ) = 'en' )
  }
}

Got 10 rows and 2 columns:
| attraction                                | attractionLabel                  |
| ----------------------------------------- | -------------------------------- |
| Griffith Observatory (fb:m.02_4ml)        | Griffith Observatory (en)        |
| Universal CityWalk (fb:m.025shr0)         | Universal CityWalk (en)          |
| Grauman's Egyptian Theatre (fb:m.029x2z)  | Grauman's Egyptian Theatre (en)  |
| Dolby Theatre (fb:m.02hksn)               | Dolby Theatre (en)               |
| Hollywood Heritage Museum (fb:m.031dp8)   | Hollywood Heritage Museum (en)   |
| TCL Chinese Theatre (fb:m.04n2h_)         | TCL Chinese Theatre (en)         |
| Hollywood Sign (fb:m.050ctv)              | Hollywood Sign (en)              |
| Universal Studios Hollywood (fb:m.05qsy8) | Universal Studios Hollywood (en) |
| Hollywood Wax Museum (fb:m.07_dsf)        | Hollywood Wax Museum (en)        |
| Hollywood Walk of Fame (fb:m.0qjfl)       | Hollywood Walk of Fame (en)      |

Popular things to do in Hollywood, CA this weekend include visiting Griffith Observatory, Universal CityWalk, Grauman's Egyptian Theatre, Dolby Theatre, Hollywood Heritage Museum, TCL Chinese Theatre, Hollywood Sign, Universal Studios Hollywood, Hollywood Wax Museum, and Hollywood Walk of Fame.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what to do in venice beach ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07_fl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07_fl fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Venice, also known as Venice Beach, California, Venice, Los Angeles, California, Venice, Los Angeles, Venice, California (fb:m.07_fl): Venice is a residential, commercial, and recreational beachfront...that features performers, fortune-tellers, artists, and vendors., has type Neighborhood

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
what can you do in palm springs ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0r3tq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0r3tq fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Palm Springs, also known as Palm Springs, California, Riverside County / Palm Springs city (fb:m.0r3tq): Palm Springs is a desert resort city in Riverside County, Califo...nd mountain areas are major forms of recreation in Palm Springs., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
what is there to do in palm springs?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0r3tq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0r3tq fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Palm Springs, also known as Palm Springs, California, Riverside County / Palm Springs city (fb:m.0r3tq): Palm Springs is a desert resort city in Riverside County, Califo...nd mountain areas are major forms of recreation in Palm Springs., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
The examples suggest that to answer the question "what to do in Hollywood CA this weekend?" we should find the entity for Hollywood, CA and then query for its tourist attractions or things to do. The property used in the examples is fb:travel.travel_destination.tourist_attractions.

Next, I will search for the entity Hollywood, CA in the freebase knowledge graph.

[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 entity for Hollywood, California as a neighborhood in Los Angeles is fb:m.0f2wj. The property for tourist attractions is fb:travel.travel_destination.tourist_attractions.

I will now construct a SPARQL query to find tourist attractions in Hollywood, CA.

[Tool]
Got 10 rows and 2 columns:
| attraction                                | attractionLabel                  |
| ----------------------------------------- | -------------------------------- |
| Griffith Observatory (fb:m.02_4ml)        | Griffith Observatory (en)        |
| Universal CityWalk (fb:m.025shr0)         | Universal CityWalk (en)          |
| Grauman's Egyptian Theatre (fb:m.029x2z)  | Grauman's Egyptian Theatre (en)  |
| Dolby Theatre (fb:m.02hksn)               | Dolby Theatre (en)               |
| Hollywood Heritage Museum (fb:m.031dp8)   | Hollywood Heritage Museum (en)   |
| TCL Chinese Theatre (fb:m.04n2h_)         | TCL Chinese Theatre (en)         |
| Hollywood Sign (fb:m.050ctv)              | Hollywood Sign (en)              |
| Universal Studios Hollywood (fb:m.05qsy8) | Universal Studios Hollywood (en) |
| Hollywood Wax Museum (fb:m.07_dsf)        | Hollywood Wax Museum (en)        |
| Hollywood Walk of Fame (fb:m.0qjfl)       | Hollywood Walk of Fame (en)      |

[Assistant]
I found a list of tourist attractions in Hollywood, CA which are popular things to do: Griffith Observatory, Universal CityWalk, Grauman's Egyptian Theatre, Dolby Theatre, Hollywood Heritage Museum, TCL Chinese Theatre, Hollywood Sign, Universal Studios Hollywood, Hollywood Wax Museum, and Hollywood Walk of Fame.

Since the user asked specifically about this weekend, the knowledge graph does not have event-specific data, but these attractions are generally available to visit.

I will now provide the final answer with this information.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?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 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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what dialects are spoken in the uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.country.languages_spoken ?x .
}

Using entities:
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

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 2:
Question:
what language is mainly spoken in england?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02jx1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02jx1 fb:location.country.languages_spoken ?x .
  ?x fb:language.human_language.main_country fb:m.02jx1 .
}

Using entities:
England, also known as Albion, England, Loegria, Pow Sows (fb:m.02jx1): England /ˈɪŋɡlənd/ is a country that is part of the United Kingd... had a significant cultural and legal impact on the wider world., has type Country

Using properties:
Main Country (fb:language.human_language.main_country): part of Human Language schema, links to type Country
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what does scottish people speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06q1r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06q1r fb:location.country.languages_spoken ?x .
}

Using entities:
Scotland, also known as Scotia (fb:m.06q1r): Scotland is a country that is part of the United Kingdom and cov...tate in the Early Middle Ages and continued to exist until 1707., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant]
From the similar examples, it is clear that the entity for the United Kingdom is fb:m.07ssc and the property for languages spoken is fb:location.country.languages_spoken.

I will now write a SPARQL query to get the languages spoken in the United Kingdom using these identified entity and property.

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?position ?positionLabel ?from WHERE {
  fb:m.02yy8 fb:government.politician.government_positions_held ?pos .
  ?pos fb:government.government_position_held.office_position_or_title ?position .
  OPTIONAL {
    ?position rdfs:label ?positionLabel .
    FILTER ( lang( ?positionLabel ) = "en" )
  }
  OPTIONAL {
    ?pos fb:government.government_position_held.from ?from
  }
  FILTER ( ?position != fb:m.060d2 )
}
ORDER BY ?from

Got 3 rows and 3 columns:
| position                                      | positionLabel                        | from                  |
| --------------------------------------------- | ------------------------------------ | --------------------- |
| New York State Senator (fb:m.04kz0b7)         | New York State Senator (en)          | 1911-01-01 (xsd:date) |
| Assistant Secretary of the Navy (fb:m.03whjr) | Assistant Secretary of the Navy (en) | 1913-03-17 (xsd:date) |
| Governor of New York (fb:m.02_w_r9)           | Governor of New York (en)            | 1929-01-01 (xsd:date) |

Before becoming President of the United States, Franklin D. Roosevelt held the following jobs: New York State Senator, Assistant Secretary of the Navy, and Governor of New York.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what jobs did ben franklin do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.person.profession ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
who became president when roosevelt died in office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.060d2 fb:government.government_office_or_title.office_holders ?y1 .
  ?y1 fb:government.government_position_held.office_holder fb:m.02yy8 ; fb:government.government_position_held.to ?to .
  fb:m.060d2 fb:government.government_office_or_title.office_holders ?y2 .
  ?y2 fb:government.government_position_held.office_holder ?x ; fb:government.government_position_held.to ?from .
  FILTER ( xsd:dateTime ( ?from ) - xsd:dateTime ( ?to ) > 0 )
}
ORDER BY xsd:dateTime ( ?from )
LIMIT 1

Using entities:
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
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title

Using properties:
Office Holders (fb:government.government_office_or_title.office_holders): part of Government Office or Title schema, links to type Government Position Held
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time

Example 3:
Question:
what did barack obama do before he took office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  {
    SELECT ?pFrom WHERE {
      fb:m.02mjmr fb:government.politician.government_positions_held ?y .
      ?y fb:government.government_position_held.office_position_or_title ?x ; fb:government.government_position_held.basic_title fb:m.060c4 ; fb:government.government_position_held.from ?pFrom .
    }
  }
  fb:m.02mjmr fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title ?x ; fb:government.government_position_held.from ?from .
  FILTER ( xsd:dateTime ( ?pFrom ) - xsd:dateTime ( ?from ) > 0 )
}

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President
President, also known as Chairman (fb:m.060c4): A president is the leader of a country or a division or part of ...publics, semi-presidential republics or parliamentary republics., has type Fictional job title

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

[Assistant]
From the examples, it seems that the property fb:people.person.profession or the property related to government positions held (fb:government.politician.government_positions_held) might be useful to find Franklin D. Roosevelt's job before he became president.

Next, I will search for the entity Franklin D. Roosevelt in the freebase knowledge graph to get his identifier.

[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 as the US President is fb:m.02yy8. Now, I will search for the properties related to government positions held for this entity to find his job before becoming president.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
2. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
3. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
4. Vice president (fb:government.us_president.vice_president): links to type US Vice President, part of US President schema
5. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
6. President number (fb:government.us_president.presidency_number): part of US President schema, links to type Integer
7. Inauguration (fb:base.inaugurations.inauguration_speaker.inauguration): part of Inauguration Speaker schema, links to type Inauguration
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Speech Given (fb:user.jschell.default_domain.orator.speech_given): links to type Famous Speech, part of Orator schema

No other items found

[Assistant] The property fb:government.politician.government_positions_held seems to be the relevant property to find the government positions held by Franklin D. Roosevelt. I will now query for the government positions held by Franklin D. Roosevelt using this property.

[Tool]
Got 4 rows and 2 columns:
| position                                      | positionLabel                        |
| --------------------------------------------- | ------------------------------------ |
| Governor of New York (fb:m.02_w_r9)           | Governor of New York (en)            |
| Assistant Secretary of the Navy (fb:m.03whjr) | Assistant Secretary of the Navy (en) |
| New York State Senator (fb:m.04kz0b7)         | New York State Senator (en)          |
| President of the United States (fb:m.060d2)   | President of the United States (en)  |

[Assistant] Franklin D. Roosevelt held several government positions before becoming President of the United States. These include Governor of New York, Assistant Secretary of the Navy, and New York State Senator. I will now refine the query to get the positions held before he became president by filtering out the president position and ordering by the start date if available.

[Tool]
Got 3 rows and 3 columns:
| position                                      | positionLabel                        | from                  |
| --------------------------------------------- | ------------------------------------ | --------------------- |
| New York State Senator (fb:m.04kz0b7)         | New York State Senator (en)          | 1911-01-01 (xsd:date) |
| Assistant Secretary of the Navy (fb:m.03whjr) | Assistant Secretary of the Navy (en) | 1913-03-17 (xsd:date) |
| Governor of New York (fb:m.02_w_r9)           | Governor of New York (en)            | 1929-01-01 (xsd:date) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?zipCode WHERE {
  fb:m.0fvxz fb:location.citytown.postal_codes ?zipCode .
}

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

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what is the zip code for trenton ga?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0fvxz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0fvxz fb:location.citytown.postal_codes ?x .
}

Using entities:
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

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 2:
Question:
what is the zip code for trenton ohio?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ytcc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ytcc fb:location.citytown.postal_codes ?x .
}

Using entities:
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

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 3:
Question:
what is zip code for davenport iowa?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d6c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d6c fb:location.citytown.postal_codes ?x .
}

Using entities:
Davenport, also known as Davenport, Iowa, Scott County / Davenport city (fb:m.02d6c): Davenport is the largest city located along the Mississippi Rive... frequent flooding due to its location on the Mississippi River., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

[Assistant]
From the examples, it is clear that the property for zip code or postal code of a city or town is fb:location.citytown.postal_codes. Also, the entity for Trenton in New Jersey is fb:m.0fvxz.

I will now write a SPARQL query to get the zip code for Trenton (New Jersey) using the property fb:location.citytown.postal_codes.

[Tool]
Got 27 rows and 1 column, showing the first 5 and last 5 rows below:
| zipCode              |
| -------------------- |
| 08628 (fb:m.0206ng_) |
| 08618 (fb:m.0206njw) |
| 08638 (fb:m.0206nlg) |
| 08610 (fb:m.0206qfx) |
| 08619 (fb:m.0206qgw) |
| ...                  |
| 08605 (fb:m.07nrtpr) |
| 08604 (fb:m.07nrtpz) |
| 08603 (fb:m.07nrtq5) |
| 08602 (fb:m.07nrtqd) |
| 08601 (fb:m.07nrtqm) |

[Assistant]
The zip codes for Trenton (New Jersey) are 08628, 08618, 08638, 08610, 08619, 08605, 08604, 08603, 08602, and 08601 among others.

I will now provide the final answer with these zip codes.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?entity ?entityLabel ?professionLabel WHERE {
  VALUES ?entity {
    fb:m.0dq5yyl fb:m.097yk7
  }
  ?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 3 rows and 3 columns:
| entity                  | entityLabel    | professionLabel               |
| ----------------------- | -------------- | ----------------------------- |
| Tony Romo (fb:m.097yk7) | Tony Romo (en) | Athlete (en)                  |
| Tony Romo (fb:m.097yk7) | Tony Romo (en) | American football player (en) |
| Romo (fb:m.0dq5yyl)     | Romo (en)      | Musician (en)                 |

The entity Romo can refer to multiple notable individuals. One is Romo (fb:m.0dq5yyl), who is a musician. Another is Tony Romo (fb:m.097yk7), who is an athlete and specifically an American football player. So, Romo either did music as a musician or played American football as an athlete, depending on which Romo is meant.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what university did tony romo go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097yk7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097yk7 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Tony Romo, also known as Antonio Ramiro Romo, Antonio Ramiro "Tony" Romo (fb:m.097yk7): Antonio Ramiro "Tony" Romo is an American football quarterback f...passer rating than any other NFL quarterback in the 4th quarter., has type American football player

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
where did sergio romo go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04cyz8g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04cyz8g fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Sergio Romo (fb:m.04cyz8g): Sergio Francisco Romo is a Mexican-American professional basebal... clinching games of the NL Division Series and the World Series., has type Baseball Player

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
who is tony romo engaged to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097yk7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097yk7 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER ( NOT EXISTS {
    ?y fb:people.marriage.from ?sk0
  }
  || EXISTS {
    ?y fb:people.marriage.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.marriage.to ?sk2
  }
  || EXISTS {
    ?y fb:people.marriage.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Tony Romo, also known as Antonio Ramiro Romo, Antonio Ramiro "Tony" Romo (fb:m.097yk7): Antonio Ramiro "Tony" Romo is an American football quarterback f...passer rating than any other NFL quarterback in the 4th quarter., has type American football player

Using properties:
From (fb:people.marriage.from): links to type Date/Time, part of Marriage schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

[Assistant]
The examples suggest that "Romo" could refer to a person, likely Tony Romo, a known American football player. The question "what did Romo do?" is quite broad, so it could mean what is Romo known for or what is his occupation or notable activity.

I will start by searching for the entity "Romo" to identify the exact entity or entities related to this name in the knowledge graph. Then I will look for properties related to what this person did or is known for.

[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, a film, fictional characters, and people with the surname Romo. Since the question is broad and does not specify which Romo, I will assume the user might be referring to a person named Romo, possibly a notable one.

I will check the properties of the entity "Romo" that is a musical artist (fb:m.0dq5yyl) to see what kind of information is available about what this Romo did. This might give us an idea of their occupation or notable activities.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
4. Gender (fb:people.person.gender): part of Person schema, links to type Gender
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Albums (fb:music.featured_artist.albums): part of Featured artist schema, links to type Musical Album

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) seems relevant to what Romo did. I will query the profession of the musical artist Romo (fb:m.0dq5yyl) to see what it is.

[Tool]
Got 1 row and 2 columns:
| profession            | professionLabel |
| --------------------- | --------------- |
| Musician (fb:m.09jwl) | Musician (en)   |

[Assistant]
The musical artist Romo (fb:m.0dq5yyl) is a musician. This answers what this Romo did. However, there are other entities named Romo, including people and fictional characters.

To provide a more comprehensive answer, I will also check what the American football player Tony Romo (fb:m.097yk7) did, as he is a well-known person with the surname Romo. I will query his profession or notable activity.

[Tool]
Got 2 rows and 2 columns:
| profession                              | professionLabel               |
| --------------------------------------- | ----------------------------- |
| Athlete (fb:m.01445t)                   | Athlete (en)                  |
| American football player (fb:m.02h665k) | American football player (en) |

[Assistant]
Tony Romo (fb:m.097yk7) is an athlete and specifically an American football player.

I will now formulate the final answer summarizing what Romo did for the two notable Romos found: the musical artist Romo and Tony Romo the American football player.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language WHERE {
  fb:m.0chghy fb:location.country.languages_spoken ?language .
}

Got 3 rows and 1 column:
| language                        |
| ------------------------------- |
| English Language (fb:m.02h40lc) |
| Esperanto Language (fb:m.02jcw) |
| Lojban (fb:m.04gd7)             |

Australians speak English, Esperanto, and Lojban according to 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 language does australians speak?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what language do australian people speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0chghy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0chghy fb:location.country.languages_spoken ?x .
}

Using entities:
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

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 2:
Question:
what language does people speak in australia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0chghy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0chghy fb:location.country.languages_spoken ?x .
}

Using entities:
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

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what language do the people speak in australia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0chghy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0chghy fb:location.country.languages_spoken ?x .
}

Using entities:
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

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant]
From the similar examples, it is clear that the entity for Australia is fb:m.0chghy and the property for languages spoken in a country is fb:location.country.languages_spoken.

I will now write a SPARQL query to get the languages spoken by Australians using these identified entity and property.

[Tool]
Got 3 rows and 1 column:
| language                        |
| ------------------------------- |
| English Language (fb:m.02h40lc) |
| Esperanto Language (fb:m.02jcw) |
| Lojban (fb:m.04gd7)             |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  fb:m.03nm_fh fb:film.film.starring ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?performance fb:film.performance.character fb:m.02qd_td .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = "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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who plays jacob black in twilight?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03nm_fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03nm_fh fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
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
Twilight, also known as Twilight - La fascination, Twilight - Biss zum Morgengrau, Twilight: Chapitre 1 - Fascination, Twilight, chapitre I : Fascination, Twilight - Evighetens kyss (fb:m.03nm_fh): Twilight is a 2008 American vampire romance film based on Stephe...VD March 21, 2009 and became the most purchased DVD of the year., has type Film

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 2:
Question:
who plays jacob black in the twilight movies?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03nm_fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03nm_fh fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
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
Twilight, also known as Twilight - La fascination, Twilight - Biss zum Morgengrau, Twilight: Chapitre 1 - Fascination, Twilight, chapitre I : Fascination, Twilight - Evighetens kyss (fb:m.03nm_fh): Twilight is a 2008 American vampire romance film based on Stephe...VD March 21, 2009 and became the most purchased DVD of the year., has type Film

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
who played jacob black?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02qd_td ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02qd_td fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
}

Using entities:
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

Using properties:
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor

[Assistant]
From the similar examples, I found that the entity for Jacob Black is fb:m.02qd_td and the entity for Twilight (the film) is fb:m.03nm_fh. The properties used to link the film to performances and the performances to actors are fb:film.film.starring, fb:film.performance.actor, and fb:film.performance.character.

I will now execute a query to find the actor who played Jacob Black in the Twilight film.

[Tool]
Got 1 row and 2 columns:
| actor                        | actorLabel          |
| ---------------------------- | ------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
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 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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what are major religions in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
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

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 2:
Question:
what are the most common religions in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
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

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 3:
Question:
what is the most practiced religion in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
  ?y fb:location.religion_percentage.percentage ?sk0 .
}
ORDER BY DESC ( xsd:float ( ?sk0 ) )
LIMIT 1

Using entities:
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

Using properties:
Percent of population (fb:location.religion_percentage.percentage): links to type Floating Point Number, part of Religion percentage schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
The examples suggest that the entity for the United States is fb:m.09c7w0 and the property linking to religions in a location is fb:location.statistical_region.religions. The religions themselves are linked through fb:location.religion_percentage.religion.

I will now construct a SPARQL query to get the types of religions in the United States using these properties.

[Tool]
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)                |

[Tool] Stopped generation process


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

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)      |

St Augustine (Augustine of Hippo) was a Philosopher, Physician, and Writer. He wrote many notable works including 'City of God', 'The Confessions of St. Augustine', 'The Trinity', and 'De doctrina christiana' among others.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what did st. matthew do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0565x ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0565x fb:book.author.works_written ?x .
}

Using entities:
Matthew the Apostle, also known as Levi (fb:m.0565x): Matthew the Apostle was, according to the Bible, one of the twel..., according to Christian tradition, one of the four Evangelists., has type Deceased Person

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema

Example 2:
Question:
what did martin luther do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd_ fb:people.person.profession ?x .
}

Using entities:
Martin Luther (fb:m.04yd_): Martin Luther was a German friar, priest and professor of theolo... by considering all baptized Christians to be a holy priesthood., has type Founding Figure

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 3:
Question:
what is saint nicholas known for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f9q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f9q7 fb:book.book_subject.works ?x .
}

Using entities:
Saint Nicholas, also known as Nikolaos of Bari, Nikolaos of Myra, Nikolaos the Wonderworker, St. Nicholas (fb:m.0f9q7): Saint Nicholas;, also called Nikolaos of Myra, was a historic 4t...nd Reformed churches have been named in honor of Saint Nicholas., has type Deceased Person

Using properties:
Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work

[Assistant]
From the similar examples, we see two common approaches to answer "what did [person] do?":
1. Querying the professions or occupations of the person.
2. Querying the works written by the person.

I will start by searching for the entity "St Augustine" in the knowledge graph to find the correct identifier for him. Then I will explore his professions and works written.

[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 a religious leader and matches the context of the question.

Next, I will search for the professions or occupations of Augustine of Hippo to understand what he did.

[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. Type (fb:type.object.type): part of Object schema, links to type Type
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) is the most relevant to find out 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) was a Philosopher, Physician, and Writer.

Next, I will check if there are any notable works written by him to provide more context on what he did. I will search for properties related to works written for Augustine of Hippo.

[Tool]
Top 10 property alternatives:
1. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Equivalent Instances (fb:base.ontologies.ontology_instance.equivalent_instances): links to type Ontology Instance Mapping, part of Ontology Instance schema

No other items found

[Assistant] The property "Works written" (fb:book.author.works_written) is relevant to find notable works written by Augustine of Hippo. I will query the works written by him.

[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)                                   |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.0443c fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = 'en' )
  }
}

Got 5 rows and 2 columns:
| team                                | teamLabel                 |
| ----------------------------------- | ------------------------- |
| Kansas City Monarchs (fb:m.02_cjl)  | Kansas City Monarchs (en) |
| Montreal Royals (fb:m.03_wkh)       | Montreal Royals (en)      |
| Los Angeles Bulldogs (fb:m.0413z4v) | Los Angeles Bulldogs (en) |
| Brooklyn Dodgers (fb:m.05fc8c9)     | Brooklyn Dodgers (en)     |
| UCLA Bruins football (fb:m.0fbtm7)  | UCLA Bruins football (en) |

Jackie Robinson played for several teams including the Kansas City Monarchs, Montreal Royals, Los Angeles Bulldogs, Brooklyn Dodgers, and UCLA Bruins football team.

If you want, I can provide the SPARQL query I used to get this information. Would you like that?

[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 team did jackie robinson?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what years did jackie robinson play baseball?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0443c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0443c fb:baseball.baseball_player.batting_stats ?y .
  ?y fb:baseball.batting_statistics.season ?x .
}

Using entities:
Jackie Robinson, also known as Jackie, Jack Roosevelt Robinson (fb:m.0443c): Jack Roosevelt "Jackie" Robinson was an American Major League Ba...", on which every player on every team wears No. 42 on April 15., has type Baseball Player

Using properties:
Batting Statistics (fb:baseball.baseball_player.batting_stats): links to type Batting Statistics, part of Baseball Player schema
Season (fb:baseball.batting_statistics.season): links to type Sports League Season, part of Batting Statistics schema

Example 2:
Question:
where did jackie robinson go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0443c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0443c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Jackie Robinson, also known as Jackie, Jack Roosevelt Robinson (fb:m.0443c): Jack Roosevelt "Jackie" Robinson was an American Major League Ba...", on which every player on every team wears No. 42 on April 15., has type Baseball Player

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
what professional baseball team did michael jordan play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.054c1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.054c1 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:common.topic.notable_types fb:m.0256985 .
}

Using entities:
Baseball Team (fb:m.0256985): A baseball team is a group of people, including players, coaches...o compete together against other teams in the sport of baseball.
Michael Jordan, also known as MJ, His Airness, Mike Jordan, Michael Jeffrey Jordan, His Royal Airness (fb:m.054c1): Michael Jeffrey Jordan, also known by his initials, MJ, is an Am...ation for being one of the best defensive players in basketball., has type Celebrity

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

[Assistant]
From the similar examples, I see that Jackie Robinson is identified as fb:m.0443c in Freebase. The property for the team a professional athlete played for is related to sports team roster and teams. Specifically, the property fb:sports.pro_athlete.teams links to sports team roster, and fb:sports.sports_team_roster.team links to the sports team.

I will now construct a SPARQL query to find the team(s) that Jackie Robinson played for using these properties.

[Tool]
Got 5 rows and 2 columns:
| team                                | teamLabel                 |
| ----------------------------------- | ------------------------- |
| Kansas City Monarchs (fb:m.02_cjl)  | Kansas City Monarchs (en) |
| Montreal Royals (fb:m.03_wkh)       | Montreal Royals (en)      |
| Los Angeles Bulldogs (fb:m.0413z4v) | Los Angeles Bulldogs (en) |
| Brooklyn Dodgers (fb:m.05fc8c9)     | Brooklyn Dodgers (en)     |
| UCLA Bruins football (fb:m.0fbtm7)  | UCLA Bruins football (en) |

[Assistant]
Jackie Robinson played for several teams including the Kansas City Monarchs, Montreal Royals, Los Angeles Bulldogs, Brooklyn Dodgers, and UCLA Bruins football team.

If you want, I can provide the SPARQL query I used to get this information. Would you like that?