PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?team ?teamLabel ?locationLabel WHERE {
  fb:m.07c1_2 fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?team fb:sports.sports_team.location ?location .
  ?location rdfs:label ?locationLabel
  FILTER ( lang( ?locationLabel ) = 'en' ) OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = 'en' )
  }
  FILTER ( ?location = fb:m.0rh6k || ?location = fb:m.081yw )
}

Nate Robinson was not on any professional sports team based in Washington, D.C. or Washington state. He was on teams such as the Oklahoma City Thunder, Boston Celtics, New York Knicks, Chicago Bulls, Denver Nuggets, and Golden State Warriors, but none of these teams are based in Washington. He was also on the Washington Huskies men's basketball and football teams, which are college teams representing the University of Washington, not professional sports teams.

[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 Washington sports team had Nate Robinson on their roster?

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

[Tool]
Example 1:
Question:
Which team that plays in Washington D.C. does Rasheed Wallace play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hdjz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hdjz fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.location fb:m.0rh6k .
}

Using entities:
Rasheed Wallace, also known as Rasheed Abdul Wallace, Sheed (fb:m.02hdjz): Rasheed Abdul "Sheed" Wallace is a retired American professional...son. Individually, Wallace was an NBA All-Star in 2006 and 2008., has type Basketball Player
Washington, D.C., also known as Washington DC, Washington D.C., Washington, U.S. Capital, The District of Columbia (fb:m.0rh6k): Washington, D.C., formally the District of Columbia and commonly... city's population to more than one million during the workweek., has type City/Town/Village

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
What Washington DC sports franchise did Doug WIllaims play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0443ql ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0443ql fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.location fb:m.0rh6k .
}

Using entities:
Doug Williams, also known as Douglas Lee Williams (fb:m.0443ql): Douglas Lee "Doug" Williams is a former American football quarte...the only one until Russell Wilson won Super Bowl XLVIII in 2014., has type American football player
Washington, D.C., also known as Washington DC, Washington D.C., Washington, U.S. Capital, The District of Columbia (fb:m.0rh6k): Washington, D.C., formally the District of Columbia and commonly... city's population to more than one million during the workweek., has type City/Town/Village

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 3:
Question:
What sports team that plays in Arlington boasts Pudge Rodriguez on its roster?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02p6g7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02p6g7 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.location fb:m.0nqph .
}

Using entities:
Iván Rodríguez, also known as Ivan Rodriguez, Pudge, I-Rod (fb:m.02p6g7): Iván Rodríguez Torres, nicknamed "Pudge" or "I-Rod" is a retired...ught stealing percentage of any major league catcher, at 45.68%., has type Baseball Player
Arlington, also known as Arlington, Texas, Tarrant County / Arlington city (fb:m.0nqph): Arlington is a city in the U.S. state of Texas, within the Dalla...s the smaller communities of Dalworthington Gardens and Pantego., has type City/Town/Village

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

[Assistant] From the examples, the approach is to find the entity for Nate Robinson, then find the teams he was on, and filter those teams by their location being Washington. I will first search for the entity Nate Robinson in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Nate Robinson, also known as Kryptonate, Nathaniel Cornelius Robinson (fb:m.07c1_2): Nathaniel Cornelius "Nate" Robinson is an American professional ...gets. Robinson is the NBA's first three-time slam dunk champion., has type Basketball Player
2. Nate Robinson (fb:m.0t51_qs): Nate Robinson is an American soccer player who plays as a midfie...n the USL Pro. He was named the 2013 USL Pro Rookie of the Year., has type Football player
3. Nate Robinson (fb:m.05msdhr): Nathaniel Robinson is a former American football defensive tackl...chiever during his college football career at Rutgers and Akron., has type American football player
4. Nate Robinson (fb:m.0125xwhv): Chanel and Sterling help break down outrageous viral videos., has type TV Episode
5. Nate Robinson (fb:m.04mv4lr): has type Person
6. Nate Robinson (fb:m.05tx837)
7. Nate Robinson cropped (fb:m.0423p28)
8. Craig Robinson, also known as Craig Phillip Robinson, Robinson (fb:m.0cmt6q): Craig Phillip Robinson is an American actor, stand-up comedian, ...and Miri Make a Porno, Hot Tub Time Machine and This Is the End., has type Film actor
9. Robinson, also known as Robinson, Illinois, Crawford County / Robinson city (fb:m.0s5xd): Robinson is a city in Crawford County, Illinois, United States. ...up from 6,822 in 2000. It is the county seat of Crawford County., has type City/Town/Village
10. Robinson, also known as McLennan County / Robinson city, Robinson, Texas (fb:m.0106d4): Robinson is a city in McLennan County, Texas, United States. The...10 census. It is part of the Waco Metropolitan Statistical Area., has type City/Town/Village

[Assistant] The most relevant entity for Nate Robinson is fb:m.07c1_2, which is a basketball player. Now I will find the teams Nate Robinson was on.

[Tool]
Got 8 rows and 3 columns:
| subject                     | property                            | object       |
| --------------------------- | ----------------------------------- | ------------ |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0hpp2rs |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0j2dtm2 |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0j2qm_p |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0kffmc6 |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0n828vv |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0n828w3 |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0n828wc |
| Nate Robinson (fb:m.07c1_2) | Teams (fb:sports.pro_athlete.teams) | fb:m.0wbqcwx |

[Assistant] Nate Robinson has been on several teams. Now I will check which of these teams are located in Washington. I will write a query to get the teams Nate Robinson was on and filter those teams by location Washington. I need to find the entity for Washington first.

[Tool]
Top 10 entity alternatives:
1. Washington, D.C., also known as Washington DC, Washington D.C., Washington, U.S. Capital, The District of Columbia (fb:m.0rh6k): Washington, D.C., formally the District of Columbia and commonly... city's population to more than one million during the workweek., has type City/Town/Village
2. Washington, also known as WA, Wash, Washington, Madras (fb:m.081yw): Washington /ˈwɒʃɪŋtən/ is a state in the Pacific Northwest regio...e east, central, and south, given over to intensive agriculture., has type US State
3. Washington, also known as Washington, Pennsylvania, Washington County / Washington city (fb:m.0_gcm): Washington is a city in and the county seat of Washington County...part of the state. The population was 13,663 at the 2010 census., has type City/Town/Village
4. Washington, also known as Beaufort County / Washington city, Washington Heights, Washington Heights, North Carolina, Washington, North Carolina (fb:m.0yd75): Washington, commonly known as Little Washington, is a city in Be...ter George Washington, the first president of the United States., has type City/Town/Village
5. Washington, also known as Washington County / Washington city, Washington, Utah (fb:m.010h5m): Washington is a city in Washington County, Utah, United States a... was 8,186 at the 2000 census, and 18,761 as of the 2010 Census., has type City/Town/Village
6. Washington, also known as Washington, Iowa, Washington County / Washington city (fb:m.0t44w): Washington is a city in and the county seat of Washington County...n Statistical Area. The population was 7,266 at the 2010 census., has type City/Town/Village
7. Washington, also known as Washington, Georgia, Wilkes County / Washington city (fb:m.0r_48): Washington is a city in Wilkes County, Georgia, United States. T...eum, and the recently restored Fitzpatrick Hotel, built in 1899., has type City/Town/Village
8. Washington, also known as Tazewell County / Washington city, Washington, Illinois (fb:m.0shfd): Washington is a city in Tazewell County, Illinois, United States... was 15,134 at the 2010 census, a 39.6 percent change from 2000., has type City/Town/Village
9. Washington, also known as Daviess County / Washington city, Washington, Indiana (fb:m.0sksk): Washington is a city in Daviess County, Indiana, United States. ... the 2010 census. The city is the county seat of Daviess County., has type City/Town/Village
10. Washington, also known as Franklin County / Washington city, Washington, Missouri (fb:m.0wvld): Washington is a city on the Missouri River in Franklin County, M...f the world, with Missouri Meerschaum located on the riverfront., has type City/Town/Village

[Assistant] The relevant entity for Washington, D.C. is fb:m.0rh6k. Now I will write a SPARQL query to find the teams Nate Robinson was on that are located in Washington, D.C.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, meaning Nate Robinson was not on any sports team located in Washington, D.C. I will now check if there is any team located in the state of Washington (fb:m.081yw) that Nate Robinson was on, to cover the possibility that the question refers to the state rather than the city.

[Tool] Got no rows and 2 columns

[Assistant] There are no teams located in the state of Washington that Nate Robinson was on either. I will now list the labels of all teams Nate Robinson was on to see if any team name explicitly mentions Washington.

[Tool]
Got 8 rows and 2 columns:
| team                                               | teamLabel                                |
| -------------------------------------------------- | ---------------------------------------- |
| Oklahoma City Thunder (fb:m.04cxw5b)               | Oklahoma City Thunder (en)               |
| Washington Huskies men's basketball (fb:m.05cf6p9) | Washington Huskies men's basketball (en) |
| Boston Celtics (fb:m.0bwjj)                        | Boston Celtics (en)                      |
| Washington Huskies football (fb:m.0fgg8c)          | Washington Huskies football (en)         |
| New York Knicks (fb:m.0jm3v)                       | New York Knicks (en)                     |
| Chicago Bulls (fb:m.0jm74)                         | Chicago Bulls (en)                       |
| Denver Nuggets (fb:m.0jmdb)                        | Denver Nuggets (en)                      |
| Golden State Warriors (fb:m.0jmj7)                 | Golden State Warriors (en)               |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies the teams Nate Robinson was on, including the Washington Huskies men's basketball and football teams. However, the Washington Huskies are college teams representing the University of Washington, not professional sports teams typically referred to as 'Washington sports teams.' The question likely refers to professional sports teams based in Washington (e.g., Washington Wizards, Washington Capitals, Washington Football Team/Commanders). The query should be refined to filter for professional sports teams based in Washington state or city to better match the user's intent. Additionally, the answer should clarify the distinction between college and professional teams to avoid confusion.

[Assistant] Thank you for the feedback. To refine the query, I will focus on professional sports teams located in Washington, either Washington, D.C. or Washington state, and check if Nate Robinson was on any of those teams. I will first find professional sports teams located in Washington, D.C. or Washington state, then check if Nate Robinson was on any of those teams. I will start by finding professional sports teams in Washington, D.C.

[Tool] Got no rows and 2 columns

[Assistant] There are no professional sports teams explicitly typed as fb:sports.sports_team located in Washington, D.C. in the knowledge graph. I will now try to find professional sports teams located in Washington state (fb:m.081yw).

[Tool] Got no rows and 2 columns

[Assistant] There are no professional sports teams explicitly typed as fb:sports.sports_team located in Washington state in the knowledge graph either. I will now try a different approach: I will check the teams Nate Robinson was on and see if any of them have a location or league that indicates they are professional teams based in Washington. I will get the location and league of each team Nate Robinson was on.

[Tool]
Got 8 rows and 6 columns:
| team                                               | teamLabel                                | location                    | locationLabel      | league | leagueLabel |
| -------------------------------------------------- | ---------------------------------------- | --------------------------- | ------------------ | ------ | ----------- |
| Oklahoma City Thunder (fb:m.04cxw5b)               | Oklahoma City Thunder (en)               | Oklahoma City (fb:m.0fvzg)  | Oklahoma City (en) |        |             |
| Washington Huskies men's basketball (fb:m.05cf6p9) | Washington Huskies men's basketball (en) | Seattle (fb:m.0d9jr)        | Seattle (en)       |        |             |
| Boston Celtics (fb:m.0bwjj)                        | Boston Celtics (en)                      | Boston (fb:m.01cx_)         | Boston (en)        |        |             |
| Washington Huskies football (fb:m.0fgg8c)          | Washington Huskies football (en)         |                             |                    |        |             |
| New York Knicks (fb:m.0jm3v)                       | New York Knicks (en)                     | New York City (fb:m.02_286) | New York City (en) |        |             |
| Chicago Bulls (fb:m.0jm74)                         | Chicago Bulls (en)                       | Chicago (fb:m.01_d4)        | Chicago (en)       |        |             |
| Denver Nuggets (fb:m.0jmdb)                        | Denver Nuggets (en)                      | Denver (fb:m.02cl1)         | Denver (en)        |        |             |
| Golden State Warriors (fb:m.0jmj7)                 | Golden State Warriors (en)               | Oakland (fb:m.0dc95)        | Oakland (en)       |        |             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Nate Robinson was not on any professional sports team based in Washington, D.C. or Washington state. The SPARQL query appropriately filters teams by location to only those in Washington, D.C. or Washington state and finds no matches, which aligns with the known information about Nate Robinson's career. The answer is clear and complete, explaining the distinction between professional teams and college teams. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?governmentType ?governmentTypeLabel WHERE {
  fb:m.03spz fb:location.country.form_of_government ?governmentType .
  OPTIONAL {
    ?governmentType rdfs:label ?governmentTypeLabel .
    FILTER ( LANG( ?governmentTypeLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| governmentType                     | governmentTypeLabel       |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |

The type of government held by the country Israel, where Danny Danon holds office, is a Parliamentary system.

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

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

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

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

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

[User] What is the type of government held by the country in which Danny Danon holds office?

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

[Tool]
Example 1:
Question:
What is the main language in the country where Danny Danon holds a government office position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.03bz0xh .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Danny Danon (fb:m.03bz0xh): Danny Danon is an Israeli politician who currently serves as a m... Absorption and Diaspora Affairs and Deputy Minister of Defence., has type Politician

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 2:
Question:
What major religions are practiced in the area when Danny Danon governs?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.03bz0xh .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Danny Danon (fb:m.03bz0xh): Danny Danon is an Israeli politician who currently serves as a m... Absorption and Diaspora Affairs and Deputy Minister of Defence., has type Politician

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 3:
Question:
Which type of currency, is utilized at the location, that has a governmental office holder called, Danny Danon?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.03bz0xh .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Danny Danon (fb:m.03bz0xh): Danny Danon is an Israeli politician who currently serves as a m... Absorption and Diaspora Affairs and Deputy Minister of Defence., has type Politician

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant]
From the examples, we see that the property fb:government.governmental_jurisdiction.governing_officials links a government jurisdiction (such as a country) to government positions held, and the property fb:government.government_position_held.office_holder links a government position to the office holder (person). We can use these to find the country where Danny Danon holds office. Then, we need to find the type of government of that country.

I will first identify the entity for Danny Danon in Freebase and then find the country where he holds office. After that, I will look for the property that indicates the type of government of that country.

[Tool]
Top 10 entity alternatives:
1. Danny Danon (fb:m.03bz0xh): Danny Danon is an Israeli politician who currently serves as a m... Absorption and Diaspora Affairs and Deputy Minister of Defence., has type Politician
2. Danny Danon (fb:m.03rm5sb)
3. Danny danon2 (fb:m.05thm_d)
4. Daniel Barenboim, also known as Danny, Barenboim, Daniel (fb:m.01dhpj): Daniel Barenboim is an Argentine pianist and conductor. Currentl...fluent in Spanish, Hebrew, English, French, Italian, and German., has type Conductor
5. Danny DeVito, also known as Danny Michael DeVito Jr., Danny De Vito, Danny Devito, Danny, Daniel Michaeli (fb:m.0q9kd): Daniel Michael "Danny" DeVito, Jr. is an American actor, produce...c short horror films for his Internet venture The Blood Factory., has type Film actor
6. Dan Aykroyd, also known as Daniel Edward Aykroyd, Elwood J. Blues, Elwood Blues, Elwood, Danny Aykroyd (fb:m.0d608): Daniel Edward "Dan" Aykroyd, CM is a Canadian actor, comedian, s... Academy Award for Best Supporting Actor for Driving Miss Daisy., has type TV Writer
7. Daniel Agger, also known as Agger, Dan the Man, Danny, Daniel Munthe Agger, Dan (fb:m.08vbsl): Daniel Munthe Agger is a Danish professional footballer who play...layed for Denmark at the 2010 FIFA World Cup and UEFA Euro 2012., has type Football player
8. Danny, also known as Daniel Miguel Alves Gomes (fb:m.026ck_m): Daniel Miguel Alves Gomes, known as Danny, is a Portuguese profe...epresented Portugal at the 2010 World Cup and the 2004 Olympics., has type Football player
9. Daniel Baldwin, also known as Daniel Leroy Baldwin, Daniel R. Baldwin, Danny (fb:m.018yh9): Daniel Leroy Baldwin is an American actor, director and producer...The Pandora Project, Stealing Candy, Paparazzi and Grey Gardens., has type TV Actor
10. Daniel Saucedo, also known as Danny, Danny Saucedo (fb:m.03f65ws): Danny Saucedo is a Swedish singer and songwriter often presented...colleagues and is described as humble and dedicated to his fans., has type Musical Artist

[Assistant] The entity for Danny Danon is fb:m.03bz0xh. Now I will find the country where he holds office by looking for the government jurisdiction that has a government position held by him as an office holder.

[Tool]
Got 1 row and 1 column:
| country             |
| ------------------- |
| Israel (fb:m.03spz) |

[Assistant] Danny Danon holds office in the country Israel (fb:m.03spz). Now I will find the type of government held by Israel. I will search for properties related to government type for Israel.

[Tool]
Top 10 property alternatives:
1. Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
2. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
3. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
4. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
5. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
6. Administrative Area Type (fb:base.aareas.schema.administrative_area.administrative_area_type): links to type Type of Administrative Area, part of Administrative Area 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. Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
10. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

No other items found

[Assistant] The property fb:location.country.form_of_government seems to represent the form or type of government of a country. I will use this property to find the type of government of Israel.

[Tool]
Got 1 row and 2 columns:
| governmentType                     | governmentTypeLabel       |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the country Israel where Danny Danon holds office and retrieved the type of government for Israel. The SPARQL query is well-formed, uses the correct entity and property, and returns the government type along with its English label. The answer 'Parliamentary system' matches the query result. No improvements are necessary.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?season ?seasonLabel ?team ?teamLabel WHERE {
  ?team fb:sports.professional_sports_team.owner_s fb:m.06x8mf .
  ?team rdfs:label ?teamLabel .
  FILTER ( LANG( ?teamLabel ) = "en" ) ?team fb:sports.sports_team.championships ?championship .
  ?championship fb:sports.sports_championship_event.season ?season .
  ?season rdfs:label ?seasonLabel .
  FILTER ( LANG( ?seasonLabel ) = "en" ) ?championship fb:time.event.end_date ?endDate .
  FILTER ( ?endDate >= "2004-01-01" ^^ xsd:date )
}

The team owned by Steve Bisciotti, the Baltimore Ravens, won the Super Bowl during the 2012 NFL season.

[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] During which NFL season did the team owned by Steve Biscotti win the super bowl?

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

[Tool]
Example 1:
Question:
In which years have the team that is owned by Steve Bisciotti claimed the Super Bowl title?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.professional_sports_team.owner_s fb:m.06x8mf .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
Steve Bisciotti (fb:m.06x8mf): Stephen J. Bisciotti is the current majority owner of the Baltim...anies known as Allegis Group, which owns Aerotek and TEKsystems., has type Organization founder

Using properties:
Owner(s) (fb:sports.professional_sports_team.owner_s): part of Professional Sports Team schema, links to type Sports Team Owner
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 2:
Question:
Which superbowl did Steve Bisciott-owned sports team win?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.professional_sports_team.owner_s fb:m.06x8mf .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
Steve Bisciotti (fb:m.06x8mf): Stephen J. Bisciotti is the current majority owner of the Baltim...anies known as Allegis Group, which owns Aerotek and TEKsystems., has type Organization founder

Using properties:
Owner(s) (fb:sports.professional_sports_team.owner_s): part of Professional Sports Team schema, links to type Sports Team Owner
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
When was the last Superbowl won by the team owned by Steve Bisciotti?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.professional_sports_team.owner_s fb:m.06x8mf .
  ?c fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.championship fb:m.06x5s .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship
Steve Bisciotti (fb:m.06x8mf): Stephen J. Bisciotti is the current majority owner of the Baltim...anies known as Allegis Group, which owns Aerotek and TEKsystems., has type Organization founder

Using properties:
Owner(s) (fb:sports.professional_sports_team.owner_s): part of Professional Sports Team schema, links to type Sports Team Owner
Championship (fb:sports.sports_championship_event.championship): part of Sports League Championship Event schema, links to type Sports League Championship
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

[Assistant]
From the examples, it seems that Steve Bisciotti is identified as fb:m.06x8mf in Freebase. The property for the owner of a professional sports team is fb:sports.professional_sports_team.owner_s, and the championships won by a sports team are linked by fb:sports.sports_team.championships. The Super Bowl is a sports league championship event.

I will first query for the championships won by the team owned by Steve Bisciotti. Then I will try to find the NFL season corresponding to that championship.

[Tool]
Got 4 rows and 1 column:
| championship                              |
| ----------------------------------------- |
| Super Bowl XLVII (fb:m.0642vqv)           |
| Super Bowl XXXV (fb:m.076yq)              |
| 2001 AFC Championship Game (fb:m.0_gt_qt) |
| 2013 AFC Championship Game (fb:m.0_gtz8t) |

[Assistant]
The team owned by Steve Bisciotti has won the following championships: Super Bowl XLVII, Super Bowl XXXV, 2001 AFC Championship Game, and 2013 AFC Championship Game.

Now, I will try to find the NFL season corresponding to these Super Bowl championships. I will start with Super Bowl XLVII.

[Tool]
Got 1 row and 1 column:
| season                         |
| ------------------------------ |
| 2012 NFL season (fb:m.0hrdd7l) |

[Assistant]
Super Bowl XLVII corresponds to the 2012 NFL season.

I will now check the NFL season for Super Bowl XXXV.

[Tool]
Got 1 row and 1 column:
| season                        |
| ----------------------------- |
| 2000 NFL season (fb:m.072whw) |

[Assistant]
Super Bowl XXXV corresponds to the 2000 NFL season.

Since the question asks for the NFL season during which the team owned by Steve Bisciotti won the Super Bowl, the answer includes the 2000 NFL season and the 2012 NFL season.

I will now provide the final answer with these two seasons.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the seasons during which the team owned by Steve Bisciotti won the Super Bowl. However, the answer states the 2000 NFL season, which is incorrect because Steve Bisciotti became the majority owner of the Baltimore Ravens in 2004. The 2000 season win was before his ownership. The query should be refined to ensure it only returns championships won during his ownership period. Additionally, the answer should clarify that the team is the Baltimore Ravens. Refining the query to include a filter for the ownership period or verifying the ownership timeline would improve accuracy.

[Assistant] Thank you for the feedback. To refine the query, I will first verify the ownership start date of Steve Bisciotti for the Baltimore Ravens. Then I will filter the championships to only include those won during or after that ownership start date. I will also include the team name (Baltimore Ravens) in the answer for clarity. I will start by querying the ownership start date of Steve Bisciotti for the Baltimore Ravens.

[Tool] Got no rows and 1 columns

[Assistant] There is no direct ownership start date property for Steve Bisciotti in the knowledge graph. I will try to find any date related to his ownership by looking for properties related to ownership for the team owned by him.

[Tool]
Top 10 property alternatives:
1. Teams Owned (fb:sports.sports_team_owner.teams_owned): links to type Professional Sports Team, part of Sports Team Owner schema
2. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
3. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Approximate Net Worth (fb:user.narphorium.people.wealthy_person.net_worth): links to type Dated Money Value, part of Wealthy Person schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
There is no direct property related to ownership start date for Steve Bisciotti in the knowledge graph. Since we know from external knowledge that Steve Bisciotti became the majority owner of the Baltimore Ravens in 2004, I will filter the championships to only include those won after 2004.

I will now query the championships won by the team owned by Steve Bisciotti and filter for those championships that ended after 2004. I will also include the team name (Baltimore Ravens) in the result.

[Tool]
Got 1 row and 4 columns:
| season                         | seasonLabel          | team                          | teamLabel             |
| ------------------------------ | -------------------- | ----------------------------- | --------------------- |
| 2012 NFL season (fb:m.0hrdd7l) | 2012 NFL season (en) | Baltimore Ravens (fb:m.01ct6) | Baltimore Ravens (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that the Baltimore Ravens, owned by Steve Bisciotti, won the Super Bowl during the 2012 NFL season. The SPARQL query is well-constructed, retrieving the team owned by Steve Bisciotti, their championships, and the corresponding season with appropriate filters for English labels and a reasonable date filter. The answer matches the execution result, providing a clear and accurate response to the user's question. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.05zjd fb:language.human_language.countries_spoken_in ?country .
  ?country fb:royalty.kingdom.rulers fb:m.012rkn .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country               | countryLabel  |
| --------------------- | ------------- |
| Portugal (fb:m.05r4w) | Portugal (en) |

The Portuguese-speaking country that was ruled by Philip III of Spain is Portugal.

[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 Portuguese-speaking country was ruled by Philip III of Spain?

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

[Tool]
Example 1:
Question:
What Portuguese speaking country was ruled by Philip IV of Spain?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:royalty.kingdom.rulers fb:m.0132m7 .
}

Using entities:
Philip IV of Spain (fb:m.0132m7): Philip IV of Spain was King of Spain and Portugal as Philip III....is inability to achieve successful domestic and military reform., has type Monarch
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
Rulers (fb:royalty.kingdom.rulers): part of Kingdom schema, links to type Monarch

Example 2:
Question:
What area speaks portugese and was once ruled by Philip III of Spain?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:royalty.kingdom.rulers fb:m.012rkn .
}

Using entities:
Philip III of Spain, also known as D. Filipe II (fb:m.012rkn): Philip III of Spain was King of Spain and Portugal. A member of ...gn, Philip's reign remains a critical period in Spanish history., has type Monarch
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
Rulers (fb:royalty.kingdom.rulers): part of Kingdom schema, links to type Monarch

Example 3:
Question:
Which Iberian Peninsula country was ruled by Philip III?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03v9w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03v9w fb:location.location.partiallycontains ?y .
  ?y fb:location.partial_containment_relationship.partially_contains ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" ) ?x fb:royalty.kingdom.rulers fb:m.012rkn .
}

Using entities:
Philip III of Spain, also known as D. Filipe II (fb:m.012rkn): Philip III of Spain was King of Spain and Portugal. A member of ...gn, Philip's reign remains a critical period in Spanish history., has type Monarch
Iberian Peninsula (fb:m.03v9w): The Iberian Peninsula /aɪˈbɪəriən pəˈnɨnsjʉlə/, also known as Ib... well as Gibraltar, an overseas territory of the United Kingdom., has type Geographical Feature

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Partially contains (fb:location.location.partiallycontains): links to type Partial containment relationship, part of Location schema
Partially contains (fb:location.partial_containment_relationship.partially_contains): part of Partial containment relationship schema, links to type Location
Rulers (fb:royalty.kingdom.rulers): part of Kingdom schema, links to type Monarch

[Assistant]
From the similar examples, I see that Philip III of Spain is identified as fb:m.012rkn and Portuguese language as fb:m.05zjd in Freebase. The property for countries where a language is spoken is fb:language.human_language.countries_spoken_in, and the property for rulers of a country is fb:royalty.kingdom.rulers.

I will now write a SPARQL query to find Portuguese-speaking countries ruled by Philip III of Spain (fb:m.012rkn).

[Tool]
Got 1 row and 2 columns:
| country               | countryLabel  |
| --------------------- | ------------- |
| Portugal (fb:m.05r4w) | Portugal (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Portugal as the Portuguese-speaking country ruled by Philip III of Spain. It uses appropriate properties to link the Portuguese language to countries where it is spoken and then filters those countries by the ruler Philip III of Spain. The query returns the correct entity and label, and the answer is accurate and complete. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.05zjd fb:language.human_language.countries_spoken_in ?country .
  ?country fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.appointed_by fb:m.01zps5 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

The country where Portuguese is spoken and where José Manuel Barroso was appointed to a governmental position is Portugal.

[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 country do they speak Portuguese and where they appointed JosÃ© Manuel Barroso to a governmental position?

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

[Tool]
Example 1:
Question:
Where is Portuguese spoken where the location appointed JosÃ© Manuel Barroso to a governmental position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.01zps5 .
}

Using entities:
José Manuel Barroso, also known as Jose Manuel Durao Barroso, José Manuel Durão Barroso (fb:m.01zps5): José Manuel Durão Barroso is a Portuguese politician who was the...as Prime Minister of Portugal from 6 April 2002 to 17 July 2004., has type Politician
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country

Example 2:
Question:
What language is spoken where the Government of Portugal is located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.government fb:m.0bxb7c .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Government of Portugal (fb:m.0bxb7c): The Government of Portugal is one of the four sovereignty bodies...blic, as the Government of Portugal or simply as the Government., has type Government

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

Example 3:
Question:
What language do the people speak in the governmental jurisdiction where there's a governmental body called Government of Portugal?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.governmental_body fb:m.0bxb7c .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Government of Portugal (fb:m.0bxb7c): The Government of Portugal is one of the four sovereignty bodies...blic, as the Government of Portugal or simply as the Government., has type Government

Using properties:
Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant]
From the similar examples, I see that José Manuel Barroso is represented by the entity fb:m.01zps5 and Portuguese language by fb:m.05zjd in Freebase. The property for countries where a language is spoken is fb:language.human_language.countries_spoken_in. The property for governing officials in a governmental jurisdiction is fb:government.governmental_jurisdiction.governing_officials. The property for the appointer of a government position is fb:government.government_position_held.appointed_by.

I will now construct a SPARQL query to find the countries where Portuguese is spoken and where José Manuel Barroso was appointed to a governmental position.

[Tool]
Got 1 row and 2 columns:
| country               | countryLabel  |
| --------------------- | ------------- |
| Portugal (fb:m.05r4w) | Portugal (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country where Portuguese is spoken and where José Manuel Barroso was appointed to a governmental position as Portugal. The query uses appropriate entities and properties, and the result matches the expected answer. The query also includes an optional label for readability. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession WHERE {
  ?person fb:people.person.places_lived ?placeLived .
  ?placeLived fb:people.place_lived.location fb:m.053myr .
  ?person fb:people.person.profession ?profession .
}
LIMIT 10

Got 9 rows and 1 column:
| profession                    |
| ----------------------------- |
| Dancer (fb:m.02h6p92)         |
| Actor (fb:m.02hrh1q)          |
| Social activist (fb:m.04hx60) |
| Poet (fb:m.05z96)             |
| Writer (fb:m.0cbd2)           |
| Screenwriter (fb:m.0dxtg)     |
| Record producer (fb:m.0dz3r)  |
| Rapper (fb:m.0hpcdn2)         |
| Songwriter (fb:m.0nbcg)       |

The persons who lived in Marin City once had professions such as Dancer, Actor, Social activist, Poet, Writer, Screenwriter, Record producer, Rapper, and Songwriter.

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

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

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

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

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

[User] What did the person who lived in Marin City once do?

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

[Tool]
Example 1:
Question:
What is the birthplace of the person that used to live in Marin City?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.places_lived ?k .
  ?k fb:people.place_lived.location fb:m.053myr .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Marin City, also known as Marin City, California (fb:m.053myr): Marin City, is an unincorporated community and census-designated...found celebrity in the 1990s as the home of rapper Tupac Shakur., has type City/Town/Village

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

Example 2:
Question:
The person who once lived in Marin City was signed to whom?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.places_lived ?k .
  ?k fb:people.place_lived.location fb:m.053myr .
  ?c fb:music.artist.label ?x .
}

Using entities:
Marin City, also known as Marin City, California (fb:m.053myr): Marin City, is an unincorporated community and census-designated...found celebrity in the 1990s as the home of rapper Tupac Shakur., has type City/Town/Village

Using properties:
Record Labels (fb:music.artist.label): part of Musical Artist schema, links to type Record label
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 3:
Question:
The person who once livevd in Marin City went to which schools?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.places_lived ?k .
  ?k fb:people.place_lived.location fb:m.053myr .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Marin City, also known as Marin City, California (fb:m.053myr): Marin City, is an unincorporated community and census-designated...found celebrity in the 1990s as the home of rapper Tupac Shakur., has type City/Town/Village

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

[Assistant]
From the examples, it is clear that "Marin City" is represented by the entity fb:m.053myr in Freebase. The property to find people who lived in a place is fb:people.person.places_lived with the nested property fb:people.place_lived.location to specify the location.

The question asks what the person who lived in Marin City once did. This suggests looking for an occupation or profession of the person.

I will now search for properties related to occupation or profession for a person who lived in Marin City. This will help identify the correct property to use in the query.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
6. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant]
The search for occupation-related properties for the entity Marin City did not return a direct occupation property. However, we know the person who lived in Marin City is linked through the property fb:people.person.places_lived with the nested property fb:people.place_lived.location.

To find what the person once did, we can try to find the occupation or profession property of the person entity itself. I will search for properties related to occupation or profession for a generic person entity.

[Tool]
Top 10 property alternatives:
1. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
2. Profession (fb:user.osprey.default_domain.occupation.profession): part of Occupation schema, links to type Profession
3. Profession (fb:user.thadguidry.default_domain.hand_tool.profession): part of Hand Tool schema, links to type Profession
4. profession (fb:base.sportbase.club_owner.profession): part of Sport Club Owner schema, links to type Text
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Professions (fb:user.narphorium.default_domain.job_title.professions): links to type Profession, part of Job Title schema
7. Professions (fb:base.warofdragons.player.professions): links to type Profession Ranking, part of Player schema
8. Area of profession (fb:base.morstministryofresearchscienceandtechnology.morst_author.area_of_profession): part of MoRST Author schema, links to type Text
9. Job (fb:user.tpshek.default_domain.employee.job): part of Employee schema, links to type Job
10. Employed by (fb:base.represent.agent.employed_by): links to type Agent-agency relationship, part of Agent schema

[Assistant]
The property fb:people.person.profession seems to be the appropriate one to find what a person once did (their profession or occupation).

I will now construct a SPARQL query to find the profession of the person who lived in Marin City (fb:m.053myr).

[Tool]
Got 9 rows and 1 column:
| profession                    |
| ----------------------------- |
| Dancer (fb:m.02h6p92)         |
| Actor (fb:m.02hrh1q)          |
| Social activist (fb:m.04hx60) |
| Poet (fb:m.05z96)             |
| Writer (fb:m.0cbd2)           |
| Screenwriter (fb:m.0dxtg)     |
| Record producer (fb:m.0dz3r)  |
| Rapper (fb:m.0hpcdn2)         |
| Songwriter (fb:m.0nbcg)       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the professions of persons who lived in Marin City by linking persons to their places lived and then to their professions. The answer is comprehensive and matches the query results, listing various professions such as Dancer, Actor, Social activist, Poet, Writer, Screenwriter, Record producer, Rapper, and Songwriter. The query respects the rules by returning identifiers and does not perform any post-processing outside SPARQL. Therefore, the output is correct and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?founder ?founderLabel WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  OPTIONAL {
    ?founder rdfs:label ?founderLabel .
    FILTER ( lang( ?founderLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| founder                            | founderLabel              |
| ---------------------------------- | ------------------------- |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (en)      |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecai Manuel Noah (en) |

The founders of the college where Lindsay Zir is a grad student, New York University, are Albert Gallatin and Mordecai Manuel Noah.

[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 founded the college where Lindsay Zir is a grad student?

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

[Tool]
Example 1:
Question:
Where is the location of the college who has a grad student named Alice Levine?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:education.educational_institution.students_graduates ?k .
  ?k fb:education.education.student fb:m.0h1hj02 .
  ?c fb:location.location.containedby ?x .
}

Using entities:
Alice Levine (fb:m.0h1hj02): Alice Esme Levine is an English television and radio presenter., has type Person

Using properties:
Student (fb:education.education.student): part of Education schema, links to type Person
Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
Where is the college that Seybourne Harris Lynne went to grad school located in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:education.educational_institution.students_graduates ?k .
  ?k fb:education.education.student fb:m.05p13m1 .
  ?c fb:location.location.containedby ?x .
}

Using entities:
Seybourn Harris Lynne (fb:m.05p13m1): Seybourn Harris Lynne was a United States federal judge., has type Deceased Person

Using properties:
Student (fb:education.education.student): part of Education schema, links to type Person
Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
What city and country is the location of the university that had Emily Cummins as a grad student?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:education.educational_institution.students_graduates ?k .
  ?k fb:education.education.student fb:m.03c7lp5 .
  ?c fb:location.location.containedby ?x .
}

Using entities:
Emily Cummins (fb:m.03c7lp5): Emily Jayne Cummins is an English inventor and entrepreneur. Cum...xtraordinary work in sustainable product design and innovation"., has type Inventor

Using properties:
Student (fb:education.education.student): part of Education schema, links to type Person
Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

[Assistant]
From the examples, the pattern to find the college where a person is a grad student is to find an educational institution that has a student graduate record linking to that person. Then, to find the founder of that college, we need to find the property that relates the college to its founder.

Step 1: Find the entity for Lindsay Zir.
Step 2: Find the college where Lindsay Zir is a grad student.
Step 3: Find the founder of that college.

I will start by searching for the entity Lindsay Zir.

[Tool]
Top 10 entity alternatives:
1. Lindsay Zir, also known as Lindsay Amanda Zir, Pin (fb:m.0frrz3): Lindsay Zir is an actress and costume designer., has type Film costumer designer
2. Lindsay Zir LF (fb:m.03t5xbb)
3. Lindsay, also known as Lindsay, California, Tulare County / Lindsay city (fb:m.0r7wp): Lindsay is a city in Tulare County, California, United States. T...d the Porterville Urban Area by the United States Census Bureau., has type City/Town/Village
4. Lindsay, also known as Garvin County / Lindsay city, Lindsay, Oklahoma (fb:m.0z5zg): Lindsay is a city in Garvin County, Oklahoma, United States. The population was 2,889 at the 2000 census., has type City/Town/Village
5. Margaret Lindsay, also known as Lindsay, Peg, Margaret Kies (fb:m.080bms): Margaret Lindsay was an American film actress. Her time as a War...The House of the Seven Gables as Lindsay's standout career role., has type Film actor
6. Lindsay, also known as Cooke County / Lindsay town, Lindsay, Cooke County, Texas, Lindsay, Texas (fb:m.0__ml): Lindsay is a city in Cooke County, Texas, United States, along U... from 788 at the 2000 census. It was estimated at 1,060 in 2014., has type City/Town/Village
7. Lindsay, also known as Lindsay, Nebraska, Platte County / Lindsay village (fb:m.0x8wt): Lindsay is a village in Platte County, Nebraska, United States. The population was 255 at the 2010 census., has type City/Town/Village
8. Lindsay, also known as Lindsay, Canada, Lindsay, Ontario (fb:m.018glj): Lindsay is a community of 20,354 people on the Scugog River in t...every two years students are chosen to travel to Japan for free., has type City/Town/Village
9. Lindsay (fb:m.01wh511): has type Musical Artist
10. Lindsay, also known as Lindsay, Reeves County, Texas, Lindsay, Texas, Reeves County / Lindsay CDP (fb:m.010815): Lindsay is a census-designated place in Reeves County, Texas, United States. The population was 394 at the 2000 census., has type US Census Designated Place

[Assistant]
The most relevant entity for Lindsay Zir is fb:m.0frrz3 (Lindsay Amanda Zir, an actress and costume designer). However, this does not seem to be the same Lindsay Zir who is a grad student. There is no direct indication of a grad student entity for Lindsay Zir in the search results.

I will try to search for properties related to Lindsay Zir (fb:m.0frrz3) to see if there is any education or student-related information.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The entity Lindsay Zir (fb:m.0frrz3) has an education property (fb:people.person.education) that links to education records. I will now look for the education records of Lindsay Zir to find the college where she is a grad student.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                               | object       |
| ------------------------- | -------------------------------------- | ------------ |
| Lindsay Zir (fb:m.0frrz3) | Education (fb:people.person.education) | fb:m.0_kzcwh |

[Assistant] Lindsay Zir has an education record with the entity fb:m.0_kzcwh. I will now look for the educational institution related to this education record.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.0_kzcwh | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.0_kzcwh | Institution (fb:education.education.institution) | New York University (fb:m.0bwfn)   |
| fb:m.0_kzcwh | Student (fb:education.education.student)         | Lindsay Zir (fb:m.0frrz3)          |
| fb:m.0_kzcwh | rdf:type                                         | Education (fb:education.education) |

[Assistant] The educational institution for Lindsay Zir's education record fb:m.0_kzcwh is New York University (fb:m.0bwfn). Next, I will search for the founder of New York University.

[Tool]
Top 10 property alternatives:
1. Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
2. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
3. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Board members (fb:organization.organization.board_members): links to type Organization governorship, part of Organization schema
7. Registered with (fb:organization.non_profit_organization.registered_with): links to type Non-profit registration, part of Nonprofit organization schema
8. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value
9. Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property for the founder of New York University is fb:organization.organization.founders. I will now list the founders of New York University.

[Tool]
Got 2 rows and 3 columns:
| subject                          | property                                         | object                             |
| -------------------------------- | ------------------------------------------------ | ---------------------------------- |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Albert Gallatin (fb:m.01p369)      |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Mordecai Manuel Noah (fb:m.05m665) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the college where Lindsay Zir is a grad student as New York University and retrieved its founders, Albert Gallatin and Mordecai Manuel Noah. The SPARQL query is appropriate and returns the founders' identifiers and labels as required. The answer is accurate and complete based on the data from the freebase knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?film WHERE {
  fb:m.057yk8 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.cinematography fb:m.02pndc0 .
}

The movie starring Charlie Hunnam that had John Mathieson as the cinematographer is "Knights of the Roundtable: King Arthur" (fb:g.11b6gq6dl2).

[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 movie starring Charlie Hunnam that had John Mathieson as the cinematographer?

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

[Tool]
Example 1:
Question:
Which of the films featuring Charlie Hunnam was the first movie to be released?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.057yk8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.057yk8 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Charlie Hunnam, also known as Charles Matthew Hunnam, Charlie Matthew Hunnam, Charlie (fb:m.057yk8): Charles Matthew "Charlie" Hunnam is an English actor and screenw... Pete Dunham in Green Street, and Raleigh Becket in Pacific Rim., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Charlie Hunnam was in what movie from Italy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.057yk8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.057yk8 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.country fb:m.03rjj .
}

Using entities:
Italy, also known as Italia, Italian Republic (fb:m.03rjj): Italy, officially the Italian Republic, is a unitary parliamenta...uch as Leonardo da Vinci, Galileo, Michelangelo and Machiavelli., has type Country
Charlie Hunnam, also known as Charles Matthew Hunnam, Charlie Matthew Hunnam, Charlie (fb:m.057yk8): Charles Matthew "Charlie" Hunnam is an English actor and screenw... Pete Dunham in Green Street, and Raleigh Becket in Pacific Rim., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Country of origin (fb:film.film.country): links to type Country, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Which movie starring Charlie Hunnam was nominated for an award for Outstanding Director-Motion Picture?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.057yk8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.057yk8 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:award.award_nominated_work.award_nominations ?c .
  ?c fb:award.award_nomination.notes_description "Outstanding Director - Motion Picture" @en .
}

Using entities:
Charlie Hunnam, also known as Charles Matthew Hunnam, Charlie Matthew Hunnam, Charlie (fb:m.057yk8): Charles Matthew "Charlie" Hunnam is an English actor and screenw... Pete Dunham in Green Street, and Raleigh Becket in Pacific Rim., has type Film actor

Using properties:
Award Nominations (fb:award.award_nominated_work.award_nominations): part of Award-Nominated Work schema, links to type Award Nomination
Notes/Description (fb:award.award_nomination.notes_description): part of Award Nomination schema, links to type Text
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that Charlie Hunnam is represented by the entity fb:m.057yk8 in Freebase. The property fb:film.actor.film links an actor to their film performances, and fb:film.performance.film links a film performance to the film. To find movies starring Charlie Hunnam, I can use these properties.

Next, I need to find the property that links a film to its cinematographer. I will search for properties related to "cinematographer" in Freebase.

[Tool]
Top 10 property alternatives:
1. Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
2. Film cinematography credits (fb:film.cinematographer.film): part of Film cinematographer schema, links to type Film
3. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
4. Directed by (fb:music.music_video.directed_by): links to type Music video director, part of Music video schema
5. Filmer (fb:base.newsevents.footage.filmer): part of Non-fictional footage schema, links to type Filmer
6. Film crew role (fb:film.film_crew_gig.film_crew_role): part of Film crew gig schema, links to type Film job
7. Photographer (fb:base.newsevents.photograph.photographer): links to type Photographer, part of Photograph schema
8. Films crewed (fb:film.film_crewmember.films_crewed): part of Film crewmember schema, links to type Film crew gig
9. director (fb:base.svocab.movie.director): links to type Person, part of Movie schema
10. Director (fb:user.gmackenz.music_video.music_video.director): links to type Multimedia Performance Director, part of Multimedia Performance schema

[Assistant] The property fb:film.film.cinematography seems to link a film to its cinematographer. I will now search for the entity John Mathieson to confirm his identifier in Freebase.

[Tool]
Top 10 entity alternatives:
1. John Mathieson (fb:m.02pndc0): John Mathieson, BSC is a British cinematographer. He is one of a...s did much to shape the evolution of contemporary feature films., has type Film cinematographer
2. John Mathieson (fb:m.0v39tsn): John Mathieson FRSE FRSGS was a Scottish surveyor, cartographer,...ciety and the Murchison Grant by the Royal Geographical Society., has type Organization member
3. John Mathieson (fb:m.0fxmr): John Mathieson is a Computer Science graduate who initially work... team for three generations of the Tegra applications processor., has type Organization founder
4. John Mathieson (fb:m.0hpkqjr): has type Person
5. John Alexander Mathieson (fb:m.02v3_v): John Alexander Mathieson was a Prince Edward Island politician a...hich Prince Edward Island joined Canadian confederation in 1873., has type Politician
6. Dock Mathieson, also known as John Davie Mathieson (fb:m.0mwfhwb): Dock Mathieson was a conductor., has type Deceased Person
7. John George Mathieson (fb:m.0mwfdlx): John George Mathieson was an artist., has type Person
8. John Mathieson vs John Mathieson (fb:m.090lndb)
9. Elton John, also known as The Rocket Man, Sir Elton John CBE, Sir Elton John, Sir Elton Hercules John CBE, Sir Elton Hercules John (fb:m.01vrz41): Sir Elton Hercules John CBE is an English songwriter and singer,...o play piano at an early age, and by 1962 had formed Bluesology., has type Celebrity
10. John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

[Assistant] John Mathieson, the British cinematographer, is represented by the entity fb:m.02pndc0 in Freebase. Now I will construct a SPARQL query to find movies starring Charlie Hunnam (fb:m.057yk8) that have John Mathieson (fb:m.02pndc0) as the cinematographer using the properties fb:film.actor.film and fb:film.film.cinematography.

[Tool]
Got 1 row and 1 column:
| film                                                     |
| -------------------------------------------------------- |
| Knights of the Roundtable: King Arthur (fb:g.11b6gq6dl2) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the movie starring Charlie Hunnam that had John Mathieson as the cinematographer. It properly uses the film actor and cinematography properties to find the intersection of films involving both individuals. The answer is accurate and complete, and the query returns the correct film identifier. No further refinement is necessary.