PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?currency ?currencyLabel WHERE {
  fb:m.03_r3 fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| currency                      | currencyLabel        |
| ----------------------------- | -------------------- |
| Jamaican dollar (fb:m.04xc2m) | Jamaican dollar (en) |

The currency used in Jamaica is the Jamaican dollar.

[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 currency can you use in jamaica?

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

[Tool]
Example 1:
Question:
what country is joseph prince from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02rjg1g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02rjg1g fb:people.person.place_of_birth ?x .
}

Using entities:
Joseph Prince (fb:m.02rjg1g): Joseph Prince is the senior pastor of New Creation Church in Sin...s biggest churches. He was one of the church's founders in 1983., has type Author

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 2:
Question:
who are the broncos players?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0289q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0289q fb:sports.sports_team.roster ?y .
  ?y fb:sports.sports_team_roster.player ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Denver Broncos, also known as Orange Crush (fb:m.0289q): The Denver Broncos are a professional American football team bas...e: John Elway, Floyd Little, Gary Zimmerman, and Shannon Sharpe., has type Professional Sports Team

Using properties:
Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Player (fb:sports.sports_team_roster.player): part of Sports team roster schema, links to type Athlete
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
what did whitney houston die off?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.086qd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.086qd fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Whitney Houston, also known as Houston, Whitney, Nippy, The Prom Queen of Soul, The Voice, Whitney Elizabeth Houston (fb:m.086qd): Whitney Elizabeth Houston was an American singer, actress, produ...4 on the magazine's list of the 500 Greatest Albums of All Time., has type Musical Artist

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant]
The question is about the currency used in Jamaica. We need to find the entity for Jamaica and then find the property related to currency or currencies used in that country.

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

[Tool]
Top 10 entity alternatives:
1. Jamaica (fb:m.03_r3): Jamaica is an island country situated in the Caribbean Sea, comp...d Canada, and the fourth most populous country in the Caribbean., has type Country
2. Jamaica, also known as Jamaica, New York, Jamaica, Queens (fb:m.01sn04): Jamaica is a middle-class neighborhood in the New York City boro... former Town of Jamaica, including Richmond Hill, Woodhaven, St., has type Neighborhood
3. Jamaica, also known as Guthrie County / Jamaica city, Jamaica, Iowa (fb:m.0szwn): Jamaica is a city in Guthrie County, Iowa, United States. The po...of the Des Moines–West Des Moines Metropolitan Statistical Area., has type City/Town/Village
4. Jamaica (fb:m.0g6zbh4): has type Musical Group
5. Jamaica, also known as Jamaica, Vermont (fb:m.010knc): Jamaica is a town in Windham County, Vermont, United States. The...including Hamilton Falls. The nearest large town is Brattleboro., has type City/Town/Village
6. Jamaica, also known as Jamaica, Queens (fb:m.0541mw): Jamaica is a major hub station of the Long Island Rail Road, and...e Montauk Branch also serves one daily trip to Long Island City., has type Transit Stop
7. Jamaica (fb:m.0g7s664): has type Consumer product
8. Jamaica (fb:m.03jb12w): has type Consumer product
9. Jamaica (fb:m.0w39vj): has type Musical Recording
10. Jamaica (fb:m.088jrs8): has type Book Edition

[Assistant] The entity for Jamaica as a country is fb:m.03_r3. Next, I will search for properties related to currency for this entity.

[Tool]
Top 10 property alternatives:
1. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
2. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
3. Inflation rate (fb:location.statistical_region.cpi_inflation_rate): part of Statistical region schema, links to type Dated Percentage
4. GNI in PPP dollars (fb:location.statistical_region.gni_in_ppp_dollars): part of Statistical region schema, links to type Dated Money Value
5. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
6. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
7. Trade balance (% of GDP) (fb:location.statistical_region.trade_balance_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
8. Deposit interest rate (fb:location.statistical_region.deposit_interest_rate): part of Statistical region schema, links to type Dated Percentage
9. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
10. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

No other items found

[Assistant] The property "Currency Used" (fb:location.country.currency_used) is the relevant property for the currency used in Jamaica. Now, I will write a SPARQL query to get the currency used in Jamaica.

[Tool]
Got 1 row and 2 columns:
| currency                      | currencyLabel        |
| ----------------------------- | -------------------- |
| Jamaican dollar (fb:m.04xc2m) | Jamaican dollar (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the currency used in Jamaica by querying the 'currency_used' property of the country entity for Jamaica. The query returns the identifier and the English label of the currency, which is the Jamaican dollar. The answer provided matches the query result and is accurate. The query follows the rules by returning the actual identifier and optionally the label. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?player ?playerName WHERE {
  fb:m.04vn5 fb:sports.sports_team.roster ?rosterEntry .
  ?rosterEntry fb:sports.sports_team_roster.number "22" .
  ?rosterEntry fb:sports.sports_team_roster.player ?player .
  OPTIONAL {
    ?player rdfs:label ?playerName FILTER ( lang( ?playerName ) = "en" )
  }
}

Got 3 rows and 2 columns:
| player                       | playerName          |
| ---------------------------- | ------------------- |
| Reggie Bush (fb:m.05cb70)    | Reggie Bush (en)    |
| Mercury Morris (fb:m.0795dz) | Mercury Morris (en) |
| Jamar Taylor (fb:m.0q3yxb2)  | Jamar Taylor (en)   |

The players who have worn number 22 on the Miami Dolphins are Reggie Bush, Mercury Morris, and Jamar Taylor.

[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 is number 22 on miami dolphins?

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

[Tool]
Example 1:
Question:
where is the mozambique located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04wlh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04wlh fb:location.location.containedby ?x .
}

Using entities:
Mozambique, also known as Republic of Mozambique, Republica de Mocambique, Mocambique (fb:m.04wlh): Mozambique, officially the Republic of Mozambique, is a country ...Mozambique is endowed with rich and extensive natural resources., has type Country

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
into what language family does english fall?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h40lc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02h40lc fb:language.human_language.language_family ?x .
}

Using entities:
English Language, also known as English language, Sekgoa, English, Anglit (fb:m.02h40lc): English is a West Germanic language that was first spoken in ear...ction of the printing press to London and the Great Vowel Shift., has type Human Language

Using properties:
Language Family (fb:language.human_language.language_family): part of Human Language schema, links to type Language Family

Example 3:
Question:
who does jamie campbell bower play in breaking dawn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03nwmp1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03nwmp1 fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.075wx89 .
}

Using entities:
Jamie Campbell Bower, also known as James Metcalfe "Jamie" Campbell Bower, James Metcalfe Campbell Bower, James "Jamie" Campbell M. Bower, Bower, Jamie Campbell (fb:m.03nwmp1): James Metcalfe "Jamie" Campbell Bower is an English actor, singe...rt 1, and Jace Wayland in The Mortal Instruments: City of Bones., has type Musical Artist
The Twilight Saga: Breaking Dawn - Part 1, also known as Breaking Dawn: Part 1, Breaking Dawn – Part 1, Breaking Dawn - del 1, Breaking Dawn, Breaking Dawn - Bis(s) zum Ende der Nacht: Teil 1 (fb:m.075wx89): The Twilight Saga: Breaking Dawn – Part 1 is a 2011 American rom...redominantly negative critical reviews, it was a box office hit., The Twilight Saga: Breaking Dawn is the 2011 film based off the ...ed property is expected to start production in late spring 2010., has type Award-Winning Work

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

[Assistant]
The question is about the player who wears number 22 on the Miami Dolphins team. We need to find the entity for "Miami Dolphins" and then find the player associated with jersey number 22 on that team.

Step 1: Search for the entity "Miami Dolphins" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Miami Dolphins, also known as The Fins, The Fish, The Phins (fb:m.04vn5): The Miami Dolphins are a professional American football team loc...ppearance in Super Bowl VI, but lost to the Dallas Cowboys 24–3., has type Professional Sports Team
2. Miami Dolphins (fb:m.0_b3mv0): Miami Dolphins is a 2012 Telly Award winning ad, created by New Vision Communications for Brightcove., has type Award-Winning Work
3. Miami Dolphins Cheerleaders (fb:m.0j6536t): The Miami Dolphins Cheerleaders is the professional cheerleading...d made a video cover of the Carly Rae Jepsen song Call Me Maybe., has type Organization
4. 1973 Miami Dolphins (fb:m.0w6cc67): Narrated by Ed Harris. Team Commentary by Dick Anderson, Bob Kuechenberg, and Mercury Morris., has type TV Episode
5. Miami Dolphins #1 (fb:m.0pm6fmn): has type Fight song
6. The Miami Dolphins (fb:m.06cslwq): has type Book
7. The Miami Dolphins (fb:m.06t1s_w): has type Book
8. Miami Dolphins Linebacker (fb:m.0vwy9pd): Miami Dolphins Linebacker is a fictional character from the 2009 film The Slammin' Salmon., has type Film character
9. Miami Dolphins records (fb:m.0129ljdd): Miami Dolphins all-time records Regular Season Record : 421-321-...an Marino - 147 victories Winningest Coach: Don Shula - 257 wins
10. Miami Dolphins Helmet (fb:m.02kzxbd)

[Assistant]
The entity for the Miami Dolphins professional American football team is fb:m.04vn5.

Step 2: We need to find players of the Miami Dolphins and their jersey numbers. Let's search for properties of the Miami Dolphins entity that might relate to players or team members.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
3. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
4. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
5. Draft Picks (fb:sports.professional_sports_team.draft_picks): part of Professional Sports Team schema, links to type Sports League Draft Pick
6. Season Record (fb:sports.sports_team.season_record): links to type Sports Team Season Record, part of Sports Team schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
10. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game

No other items found

[Assistant]
The property "Roster" (fb:sports.sports_team.roster) seems to be the one that links the Miami Dolphins to their players.

Step 3: Let's find the players in the roster of the Miami Dolphins.

[Tool]
Got 297 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                              | object        |
| --------------------------- | ------------------------------------- | ------------- |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0101cdd3 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0102_0xq |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0104b_ht |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0104bzp0 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0106pgc9 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010c1_ky |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010hdm9x |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pv_69 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pw292 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pyf57 |
| ...                         | ...                                   | ...           |

[Assistant]
We have a list of players on the Miami Dolphins roster. Now, we need to find the jersey number property for these players to identify who wears number 22.

Step 4: Let's search for properties related to jersey number or number for one of these players. I will pick the first player fb:m.0101cdd3 and search for properties related to "number".

[Tool]
Top 10 property alternatives:
1. Number (fb:sports.sports_team_roster.number): links to type Machine readable string, part of Sports team roster schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Position (fb:sports.sports_team_roster.position): part of Sports team roster schema, links to type Sports position
4. Player (fb:sports.sports_team_roster.player): part of Sports team roster schema, links to type Athlete
5. From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
6. Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
7. Has no value (fb:freebase.valuenotation.has_no_value): part of Value Notation schema, links to type Property

No other items found

[Assistant]
The property "Number" (fb:sports.sports_team_roster.number) is the jersey number of the player in the sports team roster.

Step 5: We need to find the player in the Miami Dolphins roster who has the jersey number 22. We will query for the player in the roster with number 22.

[Tool]
Got 3 rows and 2 columns:
| player                       | playerName          |
| ---------------------------- | ------------------- |
| Reggie Bush (fb:m.05cb70)    | Reggie Bush (en)    |
| Mercury Morris (fb:m.0795dz) | Mercury Morris (en) |
| Jamar Taylor (fb:m.0q3yxb2)  | Jamar Taylor (en)   |

[Assistant]
There are three players who have worn number 22 on the Miami Dolphins: Reggie Bush, Mercury Morris, and Jamar Taylor.

I will now provide the final answer with these players.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all players who have worn the number 22 on the Miami Dolphins, returning their identifiers and English labels. The answer lists the players found in the query result, which matches the execution result. The query uses appropriate properties and entities, and the output is complete and accurate for the question asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?continent ?continentLabel WHERE {
  fb:m.0345h fb:base.locations.countries.continent ?continent .
  OPTIONAL {
    ?continent rdfs:label ?continentLabel .
    FILTER ( lang( ?continentLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Europe (en)    |

Germany is in the continent Europe.

[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] in which continent is germany?

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

[Tool]
Example 1:
Question:
where was president chester arthur born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vb2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vb2 fb:people.person.place_of_birth ?x .
}

Using entities:
Chester A. Arthur, also known as Chester Arthur, Chester Alan Arthur (fb:m.01vb2): Chester Alan Arthur was the 21st President of the United States;...rt of a plan to reform the federal patronage system in New York., has type US President

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 2:
Question:
what did audrey hepburn died of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dqcm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dqcm fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Audrey Hepburn, also known as Audrey Kathleen Hepburn-Ruston, Audrey Kathleen Ruston, Edda van Heemstra, Edda van Heemstra Hepburn-Ruston (fb:m.0dqcm): Audrey Hepburn was a British actress and humanitarian. Recognise... including English, French, Dutch, Italian, Spanish, and German., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
what contribution did hooke made to science in 1665?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d6j4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d6j4 fb:law.inventor.inventions ?x .
}

Using entities:
Robert Hooke (fb:m.0d6j4): Robert Hooke FRS was an English natural philosopher, architect a...ay. Allan Chapman has characterised him as "England's Leonardo"., has type Academic

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

[Assistant]
From the examples, I see that the approach is to first find the entity for the subject (in this case "Germany") and then find the property that relates it to the continent or location.

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

[Tool]
Top 10 entity alternatives:
1. Germany, also known as Deutschland, Federal Republic of Germany, Bundesrepublik Deutschland, BRD (fb:m.0345h): Germany, officially the Federal Republic of Germany, is a federa...9, the Empire was replaced by the parliamentary Weimar Republic., has type Country
2. Germany Germany, also known as Germany, Germany (fb:m.0fsdfvd): has type Musical Artist
3. Germany (fb:m.0fqgj3): The Germany Pavilion is part of the World Showcase within Epcot ... Florida. Its location is between the China and Italy pavilions., has type Building
4. Looking for Nicolas Sarkozy, also known as Germany (fb:m.0hr9606): Looking for Nicolas Sarkozy is a 2011 French documentary film di...France. It was released on TV network Arte on December 21, 2011., has type Film
5. The Cambridge illustrated history of Germany, also known as Germany (fb:m.0b3z6xw): has type Book Edition
6. Germany (fb:m.01vhjk6): has type Musical Artist
7. Germany (fb:m.03cl0jw): In European elections, Germany is a constituency of the European...y-six members, the most of any European Parliament constituency., has type Political District
8. Germany, Texas, also known as Germany, Texas, Germany (fb:m.04by95t): Germany is an unincorporated community in Houston County, Texas....rated business in the community. In 2000, the population was 43., has type City/Town/Village
9. Germany (fb:m.09z3q01): has type Book Edition
10. Germany (fb:m.0c5s7wz): has type Book Edition

[Assistant] The entity for the country Germany is fb:m.0345h. Next, I will search for properties of this entity that might relate to the continent or location. I will search for properties related to "continent" or "location" for the entity Germany (fb:m.0345h).

[Tool]
Top 10 property alternatives:
1. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
2. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
3. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
4. Versions released in this region (fb:cvg.computer_game_region.versions_released_in_this_region): links to type Video Game Version, part of Video Game Region schema
5. Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
6. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
7. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
8. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant] There is a property "Continent" (fb:base.locations.countries.continent) related to the entity Germany (fb:m.0345h) that links to the type Continents. I will now write a SPARQL query to find the continent of Germany using this property.

[Tool]
Got 1 row and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Europe (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the continent of Germany using the property fb:base.locations.countries.continent. It returns the continent's identifier and its English label, which is Europe. The answer provided is accurate and complete. The query follows the rules by returning the actual identifier and an optional label. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?championship ?championshipLabel ?year WHERE {
  fb:m.01ct6 fb:sports.sports_team.championships ?championship .
  ?championship rdfs:label ?championshipLabel .
  FILTER ( CONTAINS( LCASE( ?championshipLabel ) , "super bowl" ) ) OPTIONAL {
    ?championship fb:time.event.start_date ?date .
    BIND( year( xsd:dateTime ( ?date ) ) AS ?year )
  }
  FILTER ( lang( ?championshipLabel ) = "en" )
}

Got 2 rows and 3 columns:
| championship                    | championshipLabel     | year           |
| ------------------------------- | --------------------- | -------------- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) | 2013 (xsd:int) |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  | 2001 (xsd:int) |

The Baltimore Ravens won the Super Bowl in the years 2001 (Super Bowl XXXV) and 2013 (Super Bowl XLVII). This refined query excludes other championships and only includes Super Bowl wins.

[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 year did baltimore ravens win super bowl?

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

[Tool]
Example 1:
Question:
where is the mtv headquarters?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04rqd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04rqd fb:organization.organization.headquarters ?y .
  ?y fb:location.mailing_address.citytown ?x .
}

Using entities:
MTV (fb:m.04rqd): MTV is an American basic cable and satellite television channel ...2015, approximately 93,240,000 American households received MTV., has type TV Network

Using properties:
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address

Example 2:
Question:
where does fabio aurelio play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cpdl2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cpdl2 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Fábio Aurélio, also known as Fabio Aurelio, Fábio Aurélio Rodrigues (fb:m.0cpdl2): Fábio Aurélio Rodrigues is a Brazilian former footballer who pla...at Under-17 and Under-20 levels and at the 2000 Sydney Olympics., has type Football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
what books has elie wiesel written?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02vsp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02vsp fb:book.author.book_editions_published ?x .
}

Using entities:
Elie Wiesel, also known as Eliezer "Elie" Wiesel, Eliezer Wiesel (fb:m.02vsp): Eliezer "Elie" Wiesel KBE is a Romanian-born Jewish writer, prof...ful message "of peace, atonement and human dignity" to humanity., has type Author

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema

[Assistant] I will now search for the entity "Baltimore Ravens" in the freebase knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (fb:m.01ct6): The Baltimore Ravens are a professional American football team i...NFL to hold a perfect record in multiple Super Bowl appearances., has type American football team
2. Baltimore Ravens (fb:m.02kzwyh)
3. Poe, also known as Baltimore Ravens Poe (fb:m.052tmyg): Poe is the mascot of the Baltimore Ravens of the National Footba...famous writer and Baltimore, Maryland resident, Edgar Allan Poe., Poe is the mascot of the Baltimore Ravens., has type Mascot
4. 2000 Baltimore Ravens (fb:m.0w6cbv3): Narrated by Alec Baldwin. Team Commentary by Brian Billick, Trent Dilfer, and Ray Lewis., has type TV Episode
5. 2012 Baltimore Ravens (fb:m.0w6ccc9): Super Bowl MVP Joe Flacco, Linebacker Ray Lewis & Head Coach Joh...“We weren’t pretty. We weren’t perfect… But at least we were us., has type TV Episode
6. The Baltimore Ravens (fb:m.06b9l67): has type Book
7. Baltimore Ravens Cheerleaders (fb:m.0j9nntx): The Baltimore Ravens Cheerleaders are a cheerleading and dance s...e a promotional squad known as, The Baltimore Ravens Playmakers.
8. Conquer, also known as Baltimore Ravens Conquer (fb:m.0qg1c72): has type Mascot
9. Rise, also known as Baltimore Ravens Rise (fb:m.0nz45zc): has type Mascot
10. Baltimore Ravens seasons (fb:m.08sq7zr)

[Assistant] The entity "Baltimore Ravens" is identified as fb:m.01ct6 in the freebase knowledge graph. Next, I will search for properties related to "Super Bowl" wins or championships for this entity.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
3. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
4. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game
5. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
6. Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
7. Away Games (fb:american_football.football_team.away_games): part of American football team schema, links to type American football game
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema

No other items found

[Assistant] The property "Championships" (fb:sports.sports_team.championships) seems relevant for finding the Super Bowl wins of the Baltimore Ravens. I will now query the championships of the Baltimore Ravens and check if the Super Bowl wins are listed there with their years.

[Tool]
Got 4 rows and 2 columns:
| championship                              | championshipLabel               |
| ----------------------------------------- | ------------------------------- |
| Super Bowl XLVII (fb:m.0642vqv)           | Super Bowl XLVII (en)           |
| Super Bowl XXXV (fb:m.076yq)              | Super Bowl XXXV (en)            |
| 2001 AFC Championship Game (fb:m.0_gt_qt) | 2001 AFC Championship Game (en) |
| 2013 AFC Championship Game (fb:m.0_gtz8t) | 2013 AFC Championship Game (en) |

[Assistant] The Baltimore Ravens won the Super Bowl in the events "Super Bowl XLVII" and "Super Bowl XXXV." I will now find the years these Super Bowls were won. I will query the years for these two Super Bowl events.

[Tool]
Got 2 rows and 3 columns:
| superBowl                       | label                 | year |
| ------------------------------- | --------------------- | ---- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) |      |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  |      |

[Assistant] The query did not return the years for the Super Bowl events. I will try to find the year by looking for other date or year-related properties for these Super Bowl events.

[Tool]
Got 327 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                            | object                                                                   |
| ------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XLVII (fb:m.0642vqv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XLVII (fb:m.0642vqv) | Key (fb:type.object.key)                                            | /en/super_bowl_xlvii                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Name (fb:type.object.name)                                          | Super Bowl XLVII (de)                                                    |
| Super Bowl XLVII (fb:m.0642vqv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=5988403>                  |
| Super Bowl XLVII (fb:m.0642vqv) | Notable for (fb:common.topic.notable_for)                           | fb:g.126t0zgjk                                                           |
| Super Bowl XLVII (fb:m.0642vqv) | Notable types (fb:common.topic.notable_types)                       | Sports League Championship Event (fb:m.025b7q2)                          |
| Super Bowl XLVII (fb:m.0642vqv) | Description (fb:common.topic.description)                           | A Super Bowl XLVII a 2012-es NFL... XXXVIII-on a himnuszt énekelte. (hu) |
| Super Bowl XLVII (fb:m.0642vqv) | Article (fb:common.topic.article)                                   | fb:m.0642vqz                                                             |
| Super Bowl XLVII (fb:m.0642vqv) | Also known as (fb:common.topic.alias)                               | Super Bowl 2013 (en)                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Is reviewed (fb:freebase.valuenotation.is_reviewed)                 | Location(s) (fb:m.02yxmnn)                                               |
| ...                             | ...                                                                 | ...                                                                      |

[Assistant] The property "Also known as" (fb:common.topic.alias) for Super Bowl XLVII includes "Super Bowl 2013," which indicates the year 2013. I will check the same property for Super Bowl XXXV.

[Tool]
Got 212 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XXXV (fb:m.076yq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XXXV (fb:m.076yq) | Key (fb:type.object.key)                                            | /en/super_bowl_xxxv                                                      |
| Super Bowl XXXV (fb:m.076yq) | Name (fb:type.object.name)                                          | Super Bowl XXXV (da)                                                     |
| Super Bowl XXXV (fb:m.076yq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://da.wikipedia.org/wiki/index.html?curid=294034>                   |
| Super Bowl XXXV (fb:m.076yq) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256kt6z4                                                           |
| Super Bowl XXXV (fb:m.076yq) | Notable types (fb:common.topic.notable_types)                       | Super bowl (fb:m.01xljv1)                                                |
| Super Bowl XXXV (fb:m.076yq) | Description (fb:common.topic.description)                           | A Super Bowl XXXV a 2000-es NFL-...őzést a Baltimore Ravens nyerte. (hu) |
| Super Bowl XXXV (fb:m.076yq) | Article (fb:common.topic.article)                                   | fb:m.076yw                                                               |
| Super Bowl XXXV (fb:m.076yq) | Pronunciation (fb:base.schemastaging.context_name.pronunciation)    | fb:g.125_p640x                                                           |
| Super Bowl XXXV (fb:m.076yq) | Start date (fb:time.event.start_date)                               | 2001-01-28 (xsd:date)                                                    |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant] For Super Bowl XXXV, the property "Start date" (fb:time.event.start_date) has the value "2001-01-28," which indicates the year 2001. I will now summarize the years the Baltimore Ravens won the Super Bowl based on this information.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies the years 2001 and 2013 as the years the Baltimore Ravens won the Super Bowl. However, the SPARQL query also returns AFC Championship Games, which are not Super Bowl wins. The query should be refined to filter only championships that are Super Bowls, to avoid including other types of championships. This will make the answer more precise and directly relevant to the question.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to only include championships that are Super Bowls by filtering the championships based on their type being "Super bowl" or containing "Super Bowl" in their label. This will exclude AFC Championship Games and other non-Super Bowl championships.

[Tool]
Got 2 rows and 3 columns:
| championship                    | championshipLabel     | year           |
| ------------------------------- | --------------------- | -------------- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) | 2013 (xsd:int) |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  | 2001 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the Super Bowl championships won by the Baltimore Ravens along with their years. The query filters championships to only include those with 'Super Bowl' in their label and extracts the year from the start date. The answer correctly states the years 2001 and 2013, matching the query results. The query and answer are accurate, complete, and well-structured for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?spouseName WHERE {
  fb:m.0hz_1 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  FILTER ( ?spouse != fb:m.0hz_1 ) .
  ?spouse fb:type.object.name ?spouseName .
  FILTER ( LANG( ?spouseName ) = 'en' )
}

Got 1 row and 1 column:
| spouseName        |
| ----------------- |
| Tracy Pollan (en) |

Michael J. Fox married Tracy Pollan.

[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 did michael j fox marry?

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

[Tool]
Example 1:
Question:
what planet was luke skywalker raised on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f1bg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f1bg fb:fictional_universe.fictional_character.places_lived ?x .
}

Using entities:
Luke Skywalker (fb:m.0f1bg): Luke Skywalker is a fictional character appearing as the central...e Awakens, which is planned to be released on December 18, 2015., has type Film character

Using properties:
Places lived (fb:fictional_universe.fictional_character.places_lived): part of Fictional Character schema, links to type Fictional Setting

Example 2:
Question:
who does dominic monaghan play in lord of the rings?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01kwld ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01kwld fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.017jd9 .
}

Using entities:
The Lord of the Rings: The Return of the King, also known as The Lord of the Rings: The Return of the King: Extended Edition, The Return of the King (fb:m.017jd9): The Lord of the Rings: The Return of the King is a 2003 epic fan...ce in which Sauron created it: the volcanic fires of Mount Doom., has type Film
Dominic Monaghan, also known as Dom, Dominic Bernard Patrick Luke Monaghan (fb:m.01kwld): Dominic Monaghan is an English actor. He has received internatio...009, he played Chris Bradley / Bolt in X-Men Origins: Wolverine., has type Celebrity

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

Example 3:
Question:
what kind of money does chile use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p1v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p1v fb:location.country.currency_used ?x .
}

Using entities:
Chile, also known as Republic of Chile (fb:m.01p1v): Chile, officially the Republic of Chile, is a South American cou...nth of fjords, inlets, canals, twisting peninsulas, and islands., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant] The examples show how to find entities and properties related to a person and their relationships. Now, I will search for the entity "Michael J Fox" in the knowledge graph to identify the correct entity I need to query.

[Tool]
Top 10 entity alternatives:
1. Michael J. Fox, also known as Michael J. Fox, OC, Mike Fox, Mike, Michael J. Fox, Michael J Fox (fb:m.0hz_1): Michael Andrew Fox, OC, known as Michael J. Fox, is a Canadian-A...e years for his recurring role as crafty attorney Louis Canning., has type Celebrity
2. Michael J. Fox (fb:m.0bbfbmy): Michael J. Fox is a sound editor., has type Film crewmember
3. Michael J. Fox (fb:m.06yv16b): has type TV Episode
4. Michael J. Fox (fb:m.06y3km6): Segments: - - Guests: Actor Michael J. Fox talks about his new book Always Looking Up: The Adventures of an Incurable Optimist., has type TV Episode
5. Michael J. Fox (fb:m.06yf_c7): has type TV Episode
6. Michael J. Fox (fb:m.05dfj_z): The Emmy winner for his work in the TV series "Family Ties" and ...his craft and his handling of the disease that ended his career., has type TV Episode
7. Michael J. Fox (fb:m.06xz9yd): has type TV Episode
8. Michael J. Fox (fb:m.05dmr16): The life and career of Michael J. Fox, and his battle with Parkinson's disease., has type TV Episode
9. Michael J. Fox (fb:m.07ldncx): has type TV Episode
10. Michael J. Fox (fb:m.011hxr0): has type Musical Recording

[Assistant] The entity fb:m.0hz_1 corresponds to Michael J. Fox, the Canadian-American actor, which is the person we are interested in. Next, I will search for properties related to marriage or spouse for this entity.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Dated (fb:base.popstra.celebrity.dated): part of Celebrity schema, links to type Dated
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Parents (fb:people.person.parents): part of Person schema, links to type Person

No other items found

[Assistant] The property fb:people.person.spouse_s corresponds to "Spouse (or domestic partner)" which is relevant to the question about who Michael J. Fox married. I will now construct a SPARQL query to find the spouse(s) of Michael J. Fox using this property.

[Tool]
Got 1 row and 2 columns:
| spouse       | spouseName |
| ------------ | ---------- |
| fb:m.02kkmrn |            |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                        |
| ------------ | -------------------------------------------------------------- | ----------------------------- |
| fb:m.02kkmrn | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage) |
| fb:m.02kkmrn | Has no value (fb:freebase.valuenotation.has_no_value)          | To (fb:m.01z0kt_)             |
| fb:m.02kkmrn | Spouse (fb:people.marriage.spouse)                             | Michael J. Fox (fb:m.0hz_1)   |
| fb:m.02kkmrn | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)         |
| fb:m.02kkmrn | From (fb:people.marriage.from)                                 | 1988-07-16 (xsd:date)         |
| fb:m.02kkmrn | Location of ceremony (fb:people.marriage.location_of_ceremony) | Arlington (fb:m.01mhkk)       |
| fb:m.02kkmrn | rdf:type                                                       | Marriage (fb:people.marriage) |
| fb:m.02kkmrn | Spouse (fb:people.marriage.spouse)                             | Tracy Pollan (fb:m.03gpck)    |

[Tool]
Got 17 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                   | object            |
| -------------------------- | -------------------------- | ----------------- |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (de) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (en) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (es) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (fi) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (fr) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (hu) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (it) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (nl) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (pl) |
| Tracy Pollan (fb:m.03gpck) | Name (fb:type.object.name) | Tracy Pollan (pt) |
| ...                        | ...                        | ...               |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Michael J. Fox's spouse by navigating from the person entity to the marriage entity and then to the spouse entity, excluding Michael J. Fox himself. It retrieves the spouse's name in English, which matches the known answer 'Tracy Pollan.' The query adheres to the rules by returning the actual identifier for the spouse (implicitly through the marriage relation) and the name as an optional label. The answer is correct and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county ?countyLabel WHERE {
  ?county fb:location.us_county.county_seat fb:m.03l2n .
  OPTIONAL {
    ?county rdfs:label ?countyLabel .
    FILTER ( lang( ?countyLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| county                     | countyLabel        |
| -------------------------- | ------------------ |
| Harris County (fb:m.0mrhq) | Harris County (en) |

Houston, Texas is primarily in Harris County 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 county is houston tx in?

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

[Tool]
Example 1:
Question:
what is kareem abdul jabbar real name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.049sb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.049sb fb:base.schemastaging.context_name.official_name ?x .
}

Using entities:
Kareem Abdul-Jabbar, also known as Lew, The Big 'A', Lewis Ferdinand Alcindor, Lewis Alcindor, Lew Alcindor (fb:m.049sb): Kareem Abdul-Jabbar is an American retired professional basketba...the first overall pick, Alcindor spent six seasons in Milwaukee., has type Music video performer

Using properties:
Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

Example 2:
Question:
what does matt dallas do now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dfyw6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dfyw6 fb:people.person.profession ?x .
}

Using entities:
Matt Dallas, also known as Matthew Joseph Dallas, Matthew Joseph "Matt" Dallas (fb:m.0dfyw6): Matthew Joseph "Matt" Dallas is an American actor, best known for playing the title character on the ABC Family series Kyle XY., has type TV Actor

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

Example 3:
Question:
what languages are there in switzerland?

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

Using entities:
Switzerland, also known as La Suisse, Swiss Confederation, Svizzera, Svizra, Schweiz (fb:m.06mzp): Switzerland, officially the Swiss Confederation, is a country in...nally since 1815—and did not join the United Nations until 2002., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant] I will now search for the entity "Houston, Texas" in the Freebase knowledge graph to find its identifier. This will help me to query the county it belongs to.

[Tool]
Top 10 entity alternatives:
1. Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
2. Texas #2, also known as Houston, Texas, Texas 2 (fb:m.0797ftr): From Houston, Texas. Marijuana is seized, deputies probe drug activity and a suspect wields a toy pistol., has type TV Episode
3. Texas #7, also known as Houston, Texas, Texas 7 (fb:m.0797fvp): From Houston, Texas. A pit-bull attack, a domestic dispute and  fleeing suspects., has type TV Episode
4. Texas #4, also known as Houston, Texas, Texas 4 (fb:m.0797ft3): From Houston, Texas. A shooting incident, a stabbing victim won't identify his attacker and deputies deal with a suicidal suspect., has type TV Episode
5. Texas #5, also known as Houston, Texas, Texas 5 (fb:m.0797frk): From Houston, Texas. Deputies are called to a domestic dispute, ...g addict is investigated and a man claims his father abused him., has type TV Episode
6. Texas #1, also known as Houston, Texas, Texas 1 (fb:m.0797fqy): From Houston, Texas. Deputies orchestrate a drug bust, a  drunke...a train helps capture suspects and police make a marijuana bust., has type TV Episode
7. Houston, Texas (fb:m.0r5ztz): has type Musical Recording
8. Houston, Texas (fb:m.0zjxz5s): has type Composition
9. Houston, Texas (fb:m.0x4307p): has type Musical Recording
10. Houston, Texas (fb:m.0fc4_93): has type Musical Recording

[Assistant] The entity "Houston, Texas" is identified as fb:m.03l2n which is a city. Now I will search for properties of this entity that might indicate the county it is in.

[Tool]
Top 10 property alternatives:
1. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
2. County Place ID (fb:location.hud_county_place.countyplace_id): part of HUD County Place schema, links to type Enumeration
3. State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
4. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
5. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
6. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
7. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Agencies (fb:government.governmental_jurisdiction.agencies): part of Governmental Jurisdiction schema, links to type Government Agency
10. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location

No other items found

[Assistant] The property "County" (fb:location.hud_county_place.county) seems to be the relevant property to find the county of Houston, Texas. I will now query the county of the entity fb:m.03l2n (Houston, Texas) using this property.

[Tool]
Got 1 row and 2 columns:
| county                         | countyLabel            |
| ------------------------------ | ---------------------- |
| Montgomery County (fb:m.0fxwx) | Montgomery County (en) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer provided is incorrect. Houston, Texas is not in Montgomery County; it is primarily in Harris County. The SPARQL query used the entity fb:m.03l2n for Houston, but the property fb:location.hud_county_place.county returned Montgomery County, which is inaccurate for Houston city. The query should be revised to correctly identify the county or counties Houston, TX is located in, which should include Harris County. Please verify the entity for Houston and the property used to find the county, and ensure the query returns the correct county or counties for Houston, Texas.

[Assistant] Thank you for the feedback. I will re-examine the entity for Houston, Texas and verify the properties that indicate the county it belongs to. It is important to ensure the correct entity is used and to check if there are multiple counties for Houston. I will start by checking if there are other entities for Houston, Texas that might be more accurate or if there are other properties related to counties for the entity fb:m.03l2n.

[Tool]
Got 4,411 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                            | object                                                                    |
| -------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Houston (fb:m.03l2n) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Houston (fb:m.03l2n) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0f8wcow4BD2nv                                    |
| Houston (fb:m.03l2n) | Name (fb:type.object.name)                                          | Hiustonas (lt)                                                            |
| Houston (fb:m.03l2n) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%47%4A%48%33%2A%46_(%2A%43%33%27%33)>       |
| Houston (fb:m.03l2n) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fy1p_r                                                            |
| Houston (fb:m.03l2n) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                             |
| Houston (fb:m.03l2n) | Description (fb:common.topic.description)                           | Ang Houston ay ang pinakamataong lungsod ng Teksas, Estados Unidos. (fil) |
| Houston (fb:m.03l2n) | Also known as (fb:common.topic.alias)                               | Ciutat de l'Espai (ca)                                                    |
| Houston (fb:m.03l2n) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                    |
| Houston (fb:m.03l2n) | Contains (fb:location.location.contains)                            | University of Houston (fb:m.02gr81)                                       |
| ...                  | ...                                                                 | ...                                                                       |

[Assistant] The entity fb:m.03l2n for Houston has a property "Contained by" (fb:location.location.containedby) which might indicate the larger administrative divisions it is part of. I will check if there is a property related to counties or administrative divisions that Houston is contained by. I will specifically look for properties related to counties or administrative divisions for this entity.

[Tool]
Top 10 property alternatives:
1. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
2. Contains (fb:location.location.contains): part of Location schema, links to type Location
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
5. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location
6. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
7. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
10. Organizations with this scope (fb:organization.organization_scope.organizations_with_this_scope): part of Organization scope schema, links to type Organization

No other items found

[Assistant] The property "Contained by" (fb:location.location.containedby) is the main property indicating what larger locations Houston is part of. I will query the values of this property for Houston (fb:m.03l2n) to see if it includes counties, specifically Harris County or others.

[Tool]
Got 6 rows and 2 columns:
| containedBy                                     | containedByLabel                       |
| ----------------------------------------------- | -------------------------------------- |
| Texas (fb:m.07b_l)                              | Texas (en)                             |
| United States of America (fb:m.09c7w0)          | United States of America (en)          |
| Area codes 281, 346, 713, and 832 (fb:m.0ccw02) | Area codes 281, 346, 713, and 832 (en) |
| Area code 281 (fb:m.0t4vzm6)                    | Area code 281 (en)                     |
| Area code 713 (fb:m.0t4vzns)                    | Area code 713 (en)                     |
| Area code 832 (fb:m.0t4vzqq)                    | Area code 832 (en)                     |

[Assistant] The "Contained by" property for Houston (fb:m.03l2n) shows it is contained by Texas and the United States of America, but it does not list counties. I will now try to find if there is a property related to counties for the entity Houston or if there is a related entity that links Houston to counties. I will search for properties related to "county" for the entity Houston.

[Tool]
Top 10 property alternatives:
1. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
2. County Place ID (fb:location.hud_county_place.countyplace_id): part of HUD County Place schema, links to type Enumeration
3. State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
4. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
5. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
6. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
7. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Agencies (fb:government.governmental_jurisdiction.agencies): part of Governmental Jurisdiction schema, links to type Government Agency
10. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location

No other items found

[Assistant] The property "County" (fb:location.hud_county_place.county) is the relevant property for counties. Since the previous query returned Montgomery County only, I suspect there might be multiple places or subdivisions related to Houston that have counties. I will now check if there are any places or subdivisions contained within Houston that have counties. I will query places contained by Houston and their counties.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| place                                               | placeLabel                              | county | countyLabel |
| --------------------------------------------------- | --------------------------------------- | ------ | ----------- |
| Big Texas Dance Hall & Saloon (fb:g.11b62t800z)     | Big Texas Dance Hall & Saloon (en)      |        |             |
| Contemporary Arts Museum Houston (fb:g.11b77dhd13)  | Contemporary Arts Museum Houston (en)   |        |             |
| Two Houston Center (fb:g.122qgp5_)                  | Two Houston Center (en)                 |        |             |
| Texas Repertory Theatre (fb:g.12hkxyf20)            | Texas Repertory Theatre (en)            |        |             |
| Harris County Civil Justice Center (fb:g.1q5bfg3_j) | Harris County Civil Justice Center (en) |        |             |
| ...                                                 | ...                                     | ...    | ...         |
| Bayou Music Center (fb:m.03b_bhv)                   | Bayou Music Center (en)                 |        |             |
| Larchmont (fb:m.03b_cyk)                            | Larchmont (en)                          |        |             |
| Northcliffe Manor (fb:m.03bzsww)                    | Northcliffe Manor (en)                  |        |             |
| Willowood (fb:m.03c1_k3)                            | Willowood (en)                          |        |             |
| Enterprise Plaza (fb:m.03c7gwv)                     | Enterprise Plaza (en)                   |        |             |

[Assistant] The query for places contained by Houston and their counties returned many places but no counties except for some places like "Harris County Civil Justice Center" which is a place, not a county itself. This suggests that the county information might not be directly linked to Houston or its contained places in the knowledge graph. I will try a different approach: I will search for the entity "Harris County" and check if it is linked to Houston.

[Tool]
Top 10 entity alternatives:
1. Harris County, also known as Harris County, Texas (fb:m.0mrhq): Harris County is a county located in the U.S. state of Texas. As... Houston–The Woodlands–Sugar Land Metropolitan Statistical Area., has type US County
2. Harris County (fb:m.0nzjb): Harris County is a county located in the west central portion of...and the wealthiest county in the state outside of Metro Atlanta., has type US County
3. Harris County (fb:m.02dxq91)
4. Harrison County (fb:m.0mlp0): Harrison County is a county in the U.S. state of West Virginia. ...nty is part of the Clarksburg, WV Micropolitan Statistical Area., has type US County
5. Harrison County (fb:m.0n2j4): Harrison County is a county located in the U.S. state of Ohio. A...am Henry Harrison, who was later President of the United States., has type US County
6. Harrison County (fb:m.0nghp): Harrison County is a county located in the U.S. state of Mississ...ricane Katrina on August 29, 2005, causing catastrophic effects., has type US County
7. Harrison County (fb:m.0ntcr): Harrison County is located in the far southern part of the U.S. ...ation of over 5,000, as well as many small unincorporated towns., has type US County
8. Harrison County (fb:m.0mrh9): Harrison County is a county on the eastern border of the U.S. st...esentatives by Republican Chris Paddie, a former Marshall mayor., has type US County
9. Harrison County (fb:m.0ns3l): Harrison County is a county located in the U.S. state of Iowa. A...n the Omaha-Council Bluffs, NE-IA Metropolitan Statistical Area., has type US County
10. Harrison County (fb:m.0nnbs): Harrison County is a county located in the U.S. state of Kentuck...d, framer of the Kentucky Constitution, and Kentucky legislator., has type US County

[Assistant] The entity "Harris County, Texas" is identified as fb:m.0mrhq. I will now check if Houston (fb:m.03l2n) is linked to Harris County (fb:m.0mrhq) by any property, especially related to location or containment.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct triples linking Houston (fb:m.03l2n) to Harris County (fb:m.0mrhq). I will now check if there is a property linking Harris County to Houston or if Harris County contains Houston. I will list triples with Harris County as subject and Houston as object.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                                        | object               |
| -------------------------- | ----------------------------------------------- | -------------------- |
| Harris County (fb:m.0mrhq) | County Seat (fb:location.us_county.county_seat) | Houston (fb:m.03l2n) |

[Assistant] Harris County (fb:m.0mrhq) has a property "County Seat" (fb:location.us_county.county_seat) with the object Houston (fb:m.03l2n). This confirms Houston is the county seat of Harris County. I will now check if there are other counties that have Houston as their county seat to identify all counties Houston is in.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                                        | object               |
| -------------------------- | ----------------------------------------------- | -------------------- |
| Harris County (fb:m.0mrhq) | County Seat (fb:location.us_county.county_seat) | Houston (fb:m.03l2n) |

[Assistant] Houston is the county seat of only Harris County according to the data. I will now check if there are other counties that Houston is part of by querying counties that contain Houston as a place. I will search for counties that contain Houston.

[Tool]
Got 1 row and 2 columns:
| county               | countyLabel  |
| -------------------- | ------------ |
| Houston (fb:m.03l2n) | Houston (en) |

[Assistant] The query to find counties that contain Houston as a place returned Houston itself, which is not correct. I will try a different approach: I will query counties that have places contained by Houston. This might help find counties that include parts of Houston.

[Tool]
Got 1 row and 2 columns:
| county               | countyLabel |
| -------------------- | ----------- |
| Aldine (fb:m.0102fr) | Aldine (en) |

[Assistant] The query returned Aldine as a county related to places contained by Houston, which is not correct as Aldine is a community, not a county. It seems the knowledge graph might not have complete or accurate county data for Houston. Given the known fact that Houston is primarily in Harris County, I will provide the answer based on the verified link between Houston and Harris County in the knowledge graph. I will finalize the answer stating Houston is in Harris County.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Harris County as the county where Houston, Texas is the county seat. The query uses the property 'county_seat' to find the county for which Houston is the seat, which is appropriate for this question. The query also optionally retrieves the English label for the county, which is helpful for readability. The answer provided is accurate and complete based on the knowledge graph data. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?currency ?currencyLabel WHERE {
  fb:m.06t2t fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| currency                       | currencyLabel         |
| ------------------------------ | --------------------- |
| Singapore dollar (fb:m.02f32g) | Singapore dollar (en) |

Singapore uses the Singapore dollar as its currency.

[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 currency does singapore use?

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

[Tool]
Example 1:
Question:
who was joseph pulitzer and what did he do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019541 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019541 fb:people.person.profession ?x .
}

Using entities:
Joseph Pulitzer (fb:m.019541): Joseph Pulitzer, born József Pulitzer, was a Hungarian-born Amer...l of Journalism by his philanthropic bequest; it opened in 1912., has type U.S. Congressperson

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

Example 2:
Question:
what did alvin smith died from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0261tkp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0261tkp fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Alvin Smith (fb:m.0261tkp): Alvin Smith was the eldest brother of Joseph Smith, Jr.. Alvin t...o die without a knowledge of the gospel and baptism of the dead., has type Deceased Person

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
where did the name rome come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06c62 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06c62 fb:symbols.namesake.named_after ?x .
}

Using entities:
Rome, also known as Comune of Rome, Рим, The eternal City, the City of seven hills, Rome, Italy (fb:m.06c62): Rome is a city and special comune in Italy. Rome is the capital ...pulation originated from a mix of Latins, Etruscans and Sabines., has type Italian comune

Using properties:
Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema

[Assistant]
From the examples, I see that the approach is to first identify the entity for the country (Singapore) and then find the property related to the currency it uses.

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

[Tool]
Top 10 entity alternatives:
1. Singapore, also known as Singapura, Republic of Singapore (fb:m.06t2t): Singapore, officially the Republic of Singapore, is a modern cit...Singapore became one of the British Straits Settlements in 1826., has type Country
2. Singapore (fb:m.0cm9bnl): Singapore is a 1947 American romance film directed by John Brahm...e film was remade as Istanbul with the location moved to Turkey., Singapore is a 1947 film directed by John Brahm., has type Film
3. Five Ashore in Singapore, also known as Singapore, Singapore (fb:m.0wxrdf3): Five Ashore in Singapore AKA Singapore, Singapore and Cinq gars ...cation in Singapore in 1966, it was the last film of Sean Flynn., has type Film
4. Singapore (fb:m.05p3v70): Singapore is a Bollywood movie released in 1960, starring Shammi...d feature films to be shot in the foreign location of Singapore., has type Film
5. Singapore (fb:m.0lsnp7): has type Musical Recording
6. Singapore (fb:m.01b2bw6): has type Musical Recording
7. Singapore (fb:m.0y8v0wj): has type Musical Release
8. Singapore. (fb:m.05w49c1): Author of popular work such as Supreme Court Singapore, Facing New Challenges, and Population Projections of Singapore, has type Author
9. Singapore (fb:m.04yks9j): Welcome to Singapore. If you have information or views to share,...ntribute to the world's knowledge about the sunny island nation.
10. Singapore (fb:m.0yb3g2m): has type Musical Album

[Assistant] The entity for the country Singapore is fb:m.06t2t. Next, I will search for properties related to currency for this entity.

[Tool]
Top 10 property alternatives:
1. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
2. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
3. Inflation rate (fb:location.statistical_region.cpi_inflation_rate): part of Statistical region schema, links to type Dated Percentage
4. GNI in PPP dollars (fb:location.statistical_region.gni_in_ppp_dollars): part of Statistical region schema, links to type Dated Money Value
5. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
6. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
7. Trade balance (% of GDP) (fb:location.statistical_region.trade_balance_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
8. Deposit interest rate (fb:location.statistical_region.deposit_interest_rate): part of Statistical region schema, links to type Dated Percentage
9. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
10. GDP growth rate (fb:location.statistical_region.gdp_growth_rate): part of Statistical region schema, links to type Dated Percentage

No other items found

[Assistant] The property "Currency Used" (fb:location.country.currency_used) seems to be the correct property to find the currency used by Singapore. I will now write a SPARQL query to get the currency used by Singapore (fb:m.06t2t).

[Tool]
Got 1 row and 2 columns:
| currency                       | currencyLabel         |
| ------------------------------ | --------------------- |
| Singapore dollar (fb:m.02f32g) | Singapore dollar (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the currency used by Singapore from the freebase knowledge graph. It returns both the identifier and the English label of the currency, which is the Singapore dollar. The answer is accurate and complete, and the query follows the rules by returning the actual identifier and an optional label. No further refinement is necessary.