PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?player ?playerLabel ?roster WHERE {
  fb:m.04vn5 fb:sports.sports_team.roster ?roster .
  ?roster fb:sports.sports_team_roster.number 22 .
  ?roster fb:sports.sports_team_roster.player ?player .
  OPTIONAL {
    ?player rdfs:label ?playerLabel
  }
}

Freebase does not appear to have up-to-date or complete data on current Miami Dolphins players and their jersey numbers. The relevant properties for jersey numbers and roster membership return no results for jersey number 22 on the Miami Dolphins. Thus, I cannot provide a satisfactory SPARQL query to answer the question.

[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 http://galera:7002

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

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

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

[User] who is number 22 on miami dolphins?

[Assistant]
Let's break down the question:

1. The user is asking for the player who wears number 22 on the Miami Dolphins.
2. We need to identify the entity for "Miami Dolphins" and the property for "jersey number" or "number".
3. We also need to ensure we are looking for a player (likely a person) associated with the Miami Dolphins and with jersey number 22.

First, I'll search for the entity "Miami Dolphins" in Freebase.

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

[Assistant]
The correct entity for the Miami Dolphins NFL team is fb:m.04vn5.

Next, I need to find the property for "jersey number" or "number" associated with players on a sports team. I'll search for properties related to "jersey number" in Freebase.

[Tool]
Top 10 property alternatives:
1. Shirt Number (fb:soccer.football_player_match_participation.shirt_number): part of Football Player Match Participation schema, links to type Integer
2. Youth Classification jersey holder (fb:base.peleton.road_race_stage.youth_classification_jersey_holder): part of Road Race Stage schema, links to type Cyclist
3. Number (fb:boats.ship_powerplant_system.number): part of Ship Powerplant System schema, links to type Integer
4. Number (fb:user.cheunger.sports_test.roster_membership.number): part of Roster Membership schema, links to type Integer
5. Number (fb:base.californiahistory.landmark.number): part of California Historical Landmark schema, links to type Enumeration
6. Number (fb:base.rollerderby.team_performance.number): links to type Machine readable string, part of Team Performance schema
7. Number (fb:physics.subatomic_particle_composition.number): part of Subatomic particle composition schema, links to type Integer
8. Number (fb:user.alecf.recreation.park_feature_quantity.number): part of Park Feature Quantity schema, links to type Integer
9. Number (fb:base.slamdunk.player.number): links to type Integer, part of Player schema
10. Number (fb:base.schemastaging.road_extra.number): links to type Machine readable string, part of Road extra schema

[Assistant]
There are several "number" properties, but the most relevant for sports teams seem to be:

- fb:user.cheunger.sports_test.roster_membership.number (part of Roster Membership schema)
- fb:base.slamdunk.player.number (part of Player schema)
- fb:soccer.football_player_match_participation.shirt_number (specific to soccer)

Since "roster membership" is a general sports schema, I'll investigate fb:user.cheunger.sports_test.roster_membership.number further. I'll check what entities use this property to confirm it's used for NFL players and teams.

[Tool]
Got 16 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                       | object |
| ------------ | -------------------------------------------------------------- | ------ |
| fb:m.076qh47 | Number (fb:user.cheunger.sports_test.roster_membership.number) | 1      |
| fb:m.076qy_2 | Number (fb:user.cheunger.sports_test.roster_membership.number) | 6      |
| fb:m.076qy_f | Number (fb:user.cheunger.sports_test.roster_membership.number) | 15     |
| fb:m.076qy_n | Number (fb:user.cheunger.sports_test.roster_membership.number) | 3      |
| fb:m.076qy_w | Number (fb:user.cheunger.sports_test.roster_membership.number) | 10     |
| fb:m.076qyyg | Number (fb:user.cheunger.sports_test.roster_membership.number) | 76     |
| fb:m.076qyyr | Number (fb:user.cheunger.sports_test.roster_membership.number) | 11     |
| fb:m.076qyz8 | Number (fb:user.cheunger.sports_test.roster_membership.number) | 2      |
| fb:m.076qyzj | Number (fb:user.cheunger.sports_test.roster_membership.number) | 7      |
| fb:m.076qyzs | Number (fb:user.cheunger.sports_test.roster_membership.number) | 12     |
| ...          | ...                                                            | ...    |

[Assistant]
The property fb:user.cheunger.sports_test.roster_membership.number is used for jersey numbers in a sports roster context.

Now, I need to find how players are linked to the Miami Dolphins and their roster membership. I'll check what properties link players to teams or roster memberships for the Miami Dolphins entity (fb:m.04vn5).

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

No other items found

[Assistant]
The property fb:sports.sports_team.roster links a sports team to its roster. The roster likely contains information about players and their jersey numbers.

Next, I'll check what type of entities are linked via the "roster" property for the Miami Dolphins. This will help me understand how to traverse from the team to the player and their jersey number.

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

[Assistant]
The "roster" property links the Miami Dolphins to various roster entities (e.g., fb:m.0101cdd3). Each roster entity likely represents a season or a specific team composition.

To find the player with jersey number 22, I need to:
1. Traverse from the Miami Dolphins to a roster entity.
2. From the roster entity, find the players and their jersey numbers.

I'll check what properties are available for one of these roster entities (e.g., fb:m.0101cdd3) to see how players and numbers are linked.

[Tool]
Got 8 rows and 3 columns:
| subject       | property                                              | object                                            |
| ------------- | ----------------------------------------------------- | ------------------------------------------------- |
| fb:m.0101cdd3 | Type (fb:type.object.type)                            | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0101cdd3 | Has no value (fb:freebase.valuenotation.has_no_value) | To (fb:m.0j2n1f2)                                 |
| fb:m.0101cdd3 | Player (fb:sports.sports_team_roster.player)          | Knowshon Moreno (fb:m.03c0jkp)                    |
| fb:m.0101cdd3 | Position (fb:sports.sports_team_roster.position)      | Running back (fb:m.01r3hr)                        |
| fb:m.0101cdd3 | Team (fb:sports.sports_team_roster.team)              | Miami Dolphins (fb:m.04vn5)                       |
| fb:m.0101cdd3 | From (fb:sports.sports_team_roster.from)              | 2014-03-27 (xsd:date)                             |
| fb:m.0101cdd3 | Number (fb:sports.sports_team_roster.number)          | 28                                                |
| fb:m.0101cdd3 | rdf:type                                              | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
For the roster entity fb:m.0101cdd3, the property fb:sports.sports_team_roster.player links to the player, and fb:sports.sports_team_roster.number gives the jersey number.

So, to answer the question, I need to:
- Find all roster entities for the Miami Dolphins.
- For each roster entity, check if the jersey number is 22.
- If so, get the player linked to that roster entity.

Now, I'll write a SPARQL query to find the player(s) with jersey number 22 on any Miami Dolphins roster. I'll also try to get the player's label (name) if available.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no results for jersey number 22 on the Miami Dolphins using the property fb:sports.sports_team_roster.number. This could be due to incomplete data in Freebase or a different property being used for jersey numbers.

To be thorough, I'll also check the other relevant "number" property found earlier: fb:base.slamdunk.player.number. I'll see if this property is used for any Miami Dolphins roster entities.

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                | object |
| --------------------------------- | --------------------------------------- | ------ |
| Sakuragi Hanamichi (fb:m.04ssxtn) | Number (fb:base.slamdunk.player.number) | 10     |
| Rukawa Kaede (fb:m.0b7tr8)        | Number (fb:base.slamdunk.player.number) | 11     |
| Miyagi Ryota (fb:m.04ssy2q)       | Number (fb:base.slamdunk.player.number) | 7      |
| Hisashi Mitsui (fb:m.04ssy03)     | Number (fb:base.slamdunk.player.number) | 14     |
| Akagi Takenori (fb:m.04ssx_v)     | Number (fb:base.slamdunk.player.number) | 4      |
| Kiminobu Kogure (fb:m.04sszqr)    | Number (fb:base.slamdunk.player.number) | 5      |
| Yasuda Yasuharu (fb:m.04sszr0)    | Number (fb:base.slamdunk.player.number) | 6      |
| Oda Tatsumasa (fb:m.04vwl3g)      | Number (fb:base.slamdunk.player.number) | 9      |
| Fukuda Kicchou (fb:m.04ss_9d)     | Number (fb:base.slamdunk.player.number) | 13     |
| Ishii Kentaro (fb:m.04st_pg)      | Number (fb:base.slamdunk.player.number) | 12     |
| ...                               | ...                                     | ...    |

[Assistant]
The property fb:base.slamdunk.player.number appears to be used for fictional basketball players from the manga/anime "Slam Dunk," not for NFL or Miami Dolphins players.

Given that, the only relevant property for NFL jersey numbers in Freebase appears to be fb:sports.sports_team_roster.number, which returned no results for jersey number 22 on the Miami Dolphins. This suggests that Freebase does not have up-to-date or complete data for current Miami Dolphins players and their jersey numbers.

Therefore, I am unable to find a satisfactory SPARQL query that answers the question with the available data in Freebase.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The explanation is clear and accurate: Freebase does not have up-to-date or complete data on current Miami Dolphins players and their jersey numbers, and the attempted SPARQL query is correct in structure. The query uses the correct properties and entities, and the failure is due to data limitations, not a query error. No further refinement is possible given the data source.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?continent ?continent_label WHERE {
  fb:m.0345h fb:base.locations.countries.continent ?continent .
  OPTIONAL {
    ?continent rdfs:label ?continent_label
  }
}

Got 43 rows and 2 columns, showing the first 5 and last 5 rows below:
| continent           | continent_label |
| ------------------- | --------------- |
| Europe (fb:m.02j9z) | Avrupa (tr)     |
| Europe (fb:m.02j9z) | Châu Âu (vi)    |
| Europe (fb:m.02j9z) | Eiropa (lv)     |
| Europe (fb:m.02j9z) | Eropa (id)      |
| Europe (fb:m.02j9z) | Eropah (ms)     |
| ...                 | ...             |
| Europe (fb:m.02j9z) | ทวีปยุโรป (th)  |
| Europe (fb:m.02j9z) | 유럽 (ko)         |
| Europe (fb:m.02j9z) | ヨーロッパ (ja)      |
| Europe (fb:m.02j9z) | 欧洲 (zh)         |
| Europe (fb:m.02j9z) | 歐洲 (zh-Hant)    |

Germany is located in the continent of Europe (fb:m.02j9z).

[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 http://galera:7002

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

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

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

[User] in which continent is germany?

[Assistant]
Let's break down the question:

1. The entity is "Germany".
2. The property we're interested in is "continent" or "located in continent".

First, I will search for the entity "Germany" in Freebase to get its IRI.

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

[Assistant]
The most relevant entity for "Germany" as a country is fb:m.0345h.

Next, I need to find the property in Freebase that links a country to its continent. I will search for properties related to "continent" for the entity fb:m.0345h (Germany).

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

No other items found

[Assistant]
The property "Continent" (fb:base.locations.countries.continent) is the most relevant for linking a country to its continent.

Now, I will construct a SPARQL query to find the continent of Germany (fb:m.0345h) using this property, and also try to get the label of the continent.

[Tool]
Got 43 rows and 2 columns, showing the first 5 and last 5 rows below:
| continent           | continent_label |
| ------------------- | --------------- |
| Europe (fb:m.02j9z) | Avrupa (tr)     |
| Europe (fb:m.02j9z) | Châu Âu (vi)    |
| Europe (fb:m.02j9z) | Eiropa (lv)     |
| Europe (fb:m.02j9z) | Eropa (id)      |
| Europe (fb:m.02j9z) | Eropah (ms)     |
| ...                 | ...             |
| Europe (fb:m.02j9z) | ทวีปยุโรป (th)  |
| Europe (fb:m.02j9z) | 유럽 (ko)         |
| Europe (fb:m.02j9z) | ヨーロッパ (ja)      |
| Europe (fb:m.02j9z) | 欧洲 (zh)         |
| Europe (fb:m.02j9z) | 歐洲 (zh-Hant)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the continent of Germany by returning the IRI of the continent (Europe) and optionally its labels in various languages. The answer is accurate, and the query follows the required guidelines, including returning the IRI and using OPTIONAL for labels. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?superbowl ?date WHERE {
  fb:m.01ct6 fb:sports.sports_team.championships ?superbowl .
  ?superbowl fb:type.object.type fb:m.01xljv1 .
  ?superbowl fb:time.event.start_date ?date .
}
ORDER BY ?date

The Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

[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 http://galera:7002

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

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

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

[User] what year did baltimore ravens win super bowl?

[Assistant]
Let's break down the question:

1. The user is asking for the year(s) when the Baltimore Ravens won the Super Bowl.
2. I need to identify the entity for "Baltimore Ravens" and the property that links a team to a Super Bowl win, as well as the property for the year of that win.

First, I'll search for the entity "Baltimore Ravens" in Freebase.

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

[Assistant]
The main entity for the Baltimore Ravens football team is fb:m.01ct6. Next, I need to find the property that links an American football team to a Super Bowl win, and then the property for the year of that win.

I'll search for properties related to "Super Bowl" for the Baltimore Ravens entity.

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

No other items found

[Assistant]
The property fb:sports.sports_team.championships seems to be the most relevant, as it links a sports team to championship events, which would include the Super Bowl.

Next, I need to check what type of objects are linked via this property and whether they contain information about the year and the specific championship (Super Bowl). I'll list some triples where the Baltimore Ravens (fb:m.01ct6) are the subject and fb:sports.sports_team.championships is the property.

[Tool]
Got 4 rows and 3 columns:
| subject                       | property                                            | object                                    |
| ----------------------------- | --------------------------------------------------- | ----------------------------------------- |
| Baltimore Ravens (fb:m.01ct6) | Championships (fb:sports.sports_team.championships) | Super Bowl XLVII (fb:m.0642vqv)           |
| Baltimore Ravens (fb:m.01ct6) | Championships (fb:sports.sports_team.championships) | Super Bowl XXXV (fb:m.076yq)              |
| Baltimore Ravens (fb:m.01ct6) | Championships (fb:sports.sports_team.championships) | 2013 AFC Championship Game (fb:m.0_gtz8t) |
| Baltimore Ravens (fb:m.01ct6) | Championships (fb:sports.sports_team.championships) | 2001 AFC Championship Game (fb:m.0_gt_qt) |

[Assistant]
The Baltimore Ravens are linked to two Super Bowl wins:
- Super Bowl XLVII (fb:m.0642vqv)
- Super Bowl XXXV (fb:m.076yq)

Now, I need to find the year for each of these Super Bowl events. I'll look for properties related to "date" or "year" for these Super Bowl entities. Let's start with Super Bowl XLVII (fb:m.0642vqv).

[Tool]
Top 10 property alternatives:
1. Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema
2. End date (fb:time.event.end_date): links to type Date/Time, part of Event schema
3. Season (fb:sports.sports_championship_event.season): part of Sports League Championship Event schema, links to type Sports League Season
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Includes event (fb:time.event.includes_event): part of Event schema, links to type Event
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Result (fb:sports.sports_championship_event.result): part of Sports League Championship Event schema, links to type Text
10. Runner-up (fb:sports.sports_championship_event.runner_up): part of Sports League Championship Event schema, links to type Sports Team

No other items found

[Assistant] The property fb:time.event.start_date is likely to give the date of the Super Bowl event. I will now list the value of this property for both Super Bowl XLVII (fb:m.0642vqv) and Super Bowl XXXV (fb:m.076yq).

[Tool]
Got 1 row and 3 columns:
| subject                         | property                              | object                             |
| ------------------------------- | ------------------------------------- | ---------------------------------- |
| Super Bowl XLVII (fb:m.0642vqv) | Start date (fb:time.event.start_date) | 2013-02-03T18:30:00 (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                              | object                |
| ---------------------------- | ------------------------------------- | --------------------- |
| Super Bowl XXXV (fb:m.076yq) | Start date (fb:time.event.start_date) | 2001-01-28 (xsd:date) |

[Assistant]
I have found the start dates for both Super Bowl wins by the Baltimore Ravens:
- Super Bowl XLVII: 2013-02-03
- Super Bowl XXXV: 2001-01-28

Now, I will write a SPARQL query that returns the IRIs of the Super Bowl events the Baltimore Ravens won, along with their start dates (years), and optionally their labels.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer provided is correct in terms of the years the Baltimore Ravens won the Super Bowl (2001 and 2013). However, the SPARQL query can be refined to avoid duplicate rows caused by multiple labels in different languages for the same Super Bowl event. This can be done by either selecting only the English label (if a label is needed) or omitting the label altogether since the user only asked for the years. Additionally, the query should return only the IRIs and dates, with labels as optional, to adhere to best practices. Please refine the query to remove duplicates and ensure only the necessary information is returned.

[Assistant]
Thank you for the feedback. To refine the query:

- I will omit the label since the user only asked for the years.
- I will ensure the query returns only the IRIs of the Super Bowl events and their start dates, which will avoid duplicates caused by multiple labels.
- The result will be ordered by date for clarity.

Here is the improved SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that the query is not correctly retrieving the Super Bowl wins for the Baltimore Ravens. The filter 'CONTAINS(LCASE(STR(?superbowl)), "super_bowl")' may not match the actual identifiers or labels used for Super Bowl events in Freebase. Additionally, the query should ensure that it retrieves the correct championship events corresponding to the Super Bowl, possibly by checking the type or label of the event. Please revise the query to correctly identify the Super Bowl championships won by the Baltimore Ravens, possibly by exploring the types or labels of the championship events.

[Assistant]
Thank you for the feedback. The previous filter on the IRI string may not match the actual identifiers for Super Bowl events in Freebase. To improve accuracy, I should:

1. Check the type of the championship event to ensure it is a Super Bowl.
2. Alternatively, filter by the label of the event to ensure it contains "Super Bowl".

First, I will check the types associated with the Super Bowl XLVII (fb:m.0642vqv) and Super Bowl XXXV (fb:m.076yq) entities to see if there is a specific type for Super Bowl events.

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

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

[Assistant]
From the results, I see that both Super Bowl events have the notable type "Super bowl" (fb:m.01xljv1). This type can be used to filter championship events to only those that are Super Bowls.

I will now write a SPARQL query that:
- Gets all championship events won by the Baltimore Ravens,
- Filters those events to only those of type "Super bowl" (fb:m.01xljv1),
- Returns the event IRI and its start date.

This will avoid label-based duplication and ensure only Super Bowl wins are returned.

[Tool] Stopped generation process


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

Michael J. Fox married Tracy Pollan (fb:m.03gpck).

[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 http://galera:7002

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

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

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

[User] who did michael j fox marry?

[Assistant]
Let's break down the question:

1. The entity is "Michael J. Fox".
2. The property is "spouse" or "married to".

First, I will search for the entity "Michael J. Fox" in Freebase to get the correct identifier.

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

[Assistant]
The most relevant entity for Michael J. Fox the actor is fb:m.0hz_1.

Next, I need to find the property in Freebase that represents "spouse" or "married to". I will search for properties related to "spouse" for this entity.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Profession (fb:people.person.profession): links to type Profession, part of Person schema
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Gender (fb:people.person.gender): part of Person schema, links to type Gender
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Assistant]
The relevant property for spouse is fb:people.person.spouse_s, which links to a "Marriage" type.

To find who Michael J. Fox married, I need to:
- Get the spouse(s) from the marriage(s) linked via fb:people.person.spouse_s.
- For each marriage, get the spouse (other than Michael J. Fox).

I will now list the properties of the "Marriage" type to see how to get the spouse's identifier.

[Tool]
Top 10 property alternatives:
1. Married To (fb:fictional_universe.fictional_character.married_to): links to type Marriage (of Fictional Characters), part of Fictional Character schema
2. Spouse (fb:user.synedra.didwho.marriage.spouse): links to type Celebrity, part of Marriage schema
3. spouse (fb:user.jfry.testing_types.j_marriage.spouse): part of j-marriage schema, links to type j-person
4. Spouse (fb:user.synedra.didwho.divorce.spouse): links to type Celebrity, part of Divorce schema
5. Spouse (fb:base.separation.separation.spouse): part of Separation schema, links to type Person
6. Spouse (fb:base.folklore.named_mythical_creature_marriage.spouse): part of Named mythical creature marriage schema, links to type Named mythical creature
7. Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
8. Spouse(s) (fb:user.jfry.testing_types.j_person.spouse): links to type j-marriage, part of j-person schema
9. Spouses (fb:fictional_universe.marriage_of_fictional_characters.spouses): part of Marriage (of Fictional Characters) schema, links to type Fictional Character
10. First Spouse (fb:base.presidentialpets.first_family.first_spouse): part of First Family schema, links to type Person

[Assistant]
The property fb:people.marriage.spouse is the standard way to get the spouse from a Marriage entity.

So, the plan is:
1. From Michael J. Fox (fb:m.0hz_1), get all marriages via fb:people.person.spouse_s.
2. For each marriage, get the spouse(s) via fb:people.marriage.spouse.
3. Exclude Michael J. Fox himself from the spouse(s) to get the actual partner.

Now, I will write a SPARQL query to retrieve the spouse(s) of Michael J. Fox, returning their IRIs and optionally their labels.

[Tool]
Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| spouse                     | spouseLabel        |
| -------------------------- | ------------------ |
| Tracy Pollan (fb:m.03gpck) | Tracy Pollan (de)  |
| Tracy Pollan (fb:m.03gpck) | Tracy Pollan (en)  |
| Tracy Pollan (fb:m.03gpck) | Tracy Pollan (es)  |
| Tracy Pollan (fb:m.03gpck) | Tracy Pollan (fi)  |
| Tracy Pollan (fb:m.03gpck) | Tracy Pollan (fr)  |
| ...                        | ...                |
| Tracy Pollan (fb:m.03gpck) | Трейси Полън (bg)  |
| Tracy Pollan (fb:m.03gpck) | Трэйси Поллан (ru) |
| Tracy Pollan (fb:m.03gpck) | تریسی پولن (fa)    |
| Tracy Pollan (fb:m.03gpck) | 트레이시 폴런 (ko)       |
| Tracy Pollan (fb:m.03gpck) | トレイシー・ポラン (ja)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the spouse of Michael J. Fox by following the appropriate relationships in the Freebase schema. The answer matches the expected result, and the query returns the IRI of the spouse as required. No further refinement is necessary.


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

Houston, TX is in Harris County (fb:m.0mrhq), according to Freebase.

[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 http://galera:7002

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

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

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

[User] what county is houston tx in?

[Assistant]
Let's break down the question:

1. The user is asking for the county in which Houston, Texas is located.
2. First, I need to identify the entity for "Houston, TX" in Freebase.
3. Then, I need to find the property that links a city to its county.

I'll start by searching for the entity "Houston, TX" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
2. Houston, TX (fb:m.0sksw86): has type Musical Recording
3. Houston, TX (fb:m.012ts0yl): has type Musical Recording
4. Houston, TX (fb:m.011tz_52): has type TV Episode
5. Houston, TX (fb:m.0zlnn34): has type Composition
6. Houston, TX (fb:m.012v348s)
7. Houston, TX (fb:m.0sn28zc)
8. Houston, TX 7, also known as Houston, TX 7 (fb:m.0797bxf): (1:35 AM Shooting Call) Harris Co. Sheriff's Dept. - Deputy Mich... down while they floundered through the deep sticks in the back., (5:45 PM Suspicious Activity) Metropolitan PD Northeast Area Com...isturbance) Officer Joseph Lombardo and the Polite Vampire lady., has type TV Episode
9. Houston, TX #2, also known as Houston, TX 2 (fb:m.0797bty): (10:08 PM Disturbance Call) Sheriff's Dept - Deputy Eugene Lanca...ays he's a native Texan and he likes wearing a cowboy hat, it..., (10:08 PM Disturbance Call) Sheriff's Dept - Deputy Eugene Lanca...oman says her boyfriend done beat the windows in and took off..., has type TV Episode
10. Houston, TX #4, also known as Houston, TX 4 (fb:m.0797bvk): (12:32 AM Traffic Stop) Sgt. Robert Jackson says he is from Detr...ging in a garage; truck stop disturbance; driver resists arrest., has type TV Episode

[Assistant]
The top result for "Houston, TX" is fb:m.03l2n, which is described as "Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city" and is of type City/Town/Village. This matches the intended meaning of the question.

Next, I need to find the property that links a city to its county in Freebase. I'll search for properties related to "county" for the entity fb:m.03l2n.

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

No other items found

[Assistant]
The most relevant property is "County" (fb:location.hud_county_place.county), which links a place to its US county.

Now, I'll construct a SPARQL query to find the county for Houston, TX (fb:m.03l2n) using this property. I'll also try to get the county's label for clarity, but will keep it optional as per the instructions.

[Tool]
Got 21 rows and 2 columns, showing the first 5 and last 5 rows below:
| county                         | countyLabel                   |
| ------------------------------ | ----------------------------- |
| Montgomery County (fb:m.0fxwx) | Comté de Montgomery (fr)      |
| Montgomery County (fb:m.0fxwx) | Condado de Montgomery (es)    |
| Montgomery County (fb:m.0fxwx) | Condado de Montgomery (pt)    |
| Montgomery County (fb:m.0fxwx) | Contea di Montgomery (it)     |
| Montgomery County (fb:m.0fxwx) | Hrabstwo Montgomery (pl)      |
| ...                            | ...                           |
| Montgomery County (fb:m.0fxwx) | شهرستان مونتگومری، تگزاس (fa) |
| Montgomery County (fb:m.0fxwx) | مقاطعة مونتغومري (ar)         |
| Montgomery County (fb:m.0fxwx) | モンゴメリー郡 (ja)                  |
| Montgomery County (fb:m.0fxwx) | 蒙哥馬利郡 (德克薩斯州) (zh-Hant)       |
| Montgomery County (fb:m.0fxwx) | 蒙哥馬里縣 (zh)                    |

[Assistant]
The Freebase data links Houston, TX (fb:m.03l2n) to Montgomery County (fb:m.0fxwx) as its county. The results show the county label in multiple languages, but the entity is consistently Montgomery County.

Here is the SPARQL query that finds the county for Houston, TX:

```sparql
SELECT ?county ?countyLabel WHERE {
  fb:m.03l2n fb:location.hud_county_place.county ?county .
  OPTIONAL { ?county rdfs:label ?countyLabel }
}
```

Answer: Houston, TX is in Montgomery County (fb:m.0fxwx).

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer is incorrect. Houston, TX is primarily located in Harris County, not Montgomery County. The SPARQL query uses the entity fb:m.03l2n for Houston, but the result only returns Montgomery County, which is not correct. Houston does extend into a few other counties (including Montgomery and Fort Bend), but its main county is Harris County. The query or entity mapping should be checked to ensure it retrieves all relevant counties, especially Harris County. Please review the entity for Houston and ensure the query returns all counties associated with Houston, TX, prioritizing Harris County.

[Assistant]
Thank you for the feedback. You are correct: Houston, TX is primarily located in Harris County, though it also extends into Montgomery and Fort Bend counties. The previous query only returned Montgomery County, which suggests either the entity mapping or the property used may not be capturing all counties associated with Houston.

Let me take a step-by-step approach to address this:

1. Double-check the entity for Houston, TX to ensure it is correct.
2. Investigate if there are other properties or schemas that link Houston to counties, especially Harris County.
3. Ensure the query retrieves all counties associated with Houston, TX.

First, I'll check what other properties are available for the Houston, TX entity (fb:m.03l2n) that might relate to county, administrative division, or similar.

[Tool]
Top 10 property alternatives:
1. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
2. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
3. Employees and other personnel (fb:business.employer.employees): links to type Employment tenure, part of Employer schema
4. Agencies (fb:government.governmental_jurisdiction.agencies): part of Governmental Jurisdiction schema, links to type Government Agency
5. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
6. Parent organization (fb:business.business_location.parent_company): part of Organization Location schema, links to type Organization
7. Organizations with this scope (fb:organization.organization_scope.organizations_with_this_scope): part of Organization scope schema, links to type Organization
8. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
9. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
10. Arrestee (fb:base.popstra.location.arrestee): part of Location schema, links to type Arrest

No other items found

[Assistant]
The only property directly linking to a county is still fb:location.hud_county_place.county. However, since the previous query only returned Montgomery County, it's possible that the Freebase data for this entity is incomplete or that there are other entities for Houston, TX that might be linked to Harris County.

Let me search for other entities named "Houston" that might represent the city in Harris County, or see if there is a Harris County entity and how it is linked to cities. I'll search for "Harris County" in Freebase to check its entity and see what properties it has.

[Tool]
Top 10 entity alternatives:
1. Harris County, also known as Harris County, Texas (fb:m.0mrhq): Harris County is a county located in the U.S. state of Texas. As... Houston–The Woodlands–Sugar Land Metropolitan Statistical Area., has type US County
2. Stella, Harris County, Texas (fb:m.0114lcvj): Stella, Texas was formerly an unincorporated area located approx...hat still makes that link to the place formerly known as Stella., has type Location
3. Harrison County Texas (fb:m.044ts5n)
4. Rose Hill, also known as Rose Hill, Texas, Rose Hill, Harris County, Texas (fb:m.04152cc): Rose Hill is an Unincorporated community in Harris County, Texas, United States., has type City/Town/Village
5. Land certificates from Harris County, Texas (fb:m.06np1hs): has type Book
6. 2006 Harris County, Texas hate crime assault, also known as April 22, 2006 Harris County, Texas assault incident (fb:m.027p0_s): The 2006 Harris County, Texas hate crime assault refers to the b...s after the attack, committed suicide a year after the incident.
7. Texas County (fb:m.0nddz): Texas County is a county located in the southern portion of the ...cates that it is the center of population for the United States., has type US County
8. Texas County (fb:m.0mxl_): Texas County is a county located in the panhandle of the U.S. st... also lies within the noted Hugoton-Panhandle natural gas field., has type US County
9. Harris County (fb:m.0nzjb): Harris County is a county located in the west central portion of...and the wealthiest county in the state outside of Metro Atlanta., has type US County
10. Harris, also known as Harris, Texas (fb:m.04bycn6): has type City/Town/Village

[Assistant]
The correct entity for Harris County, Texas is fb:m.0mrhq. Now, I need to check how Harris County (fb:m.0mrhq) is linked to cities like Houston.

I'll list some properties of Harris County to see if there is a property that links it to its cities or places.

[Tool]
Got 2,027 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                                            | object                                                                   |
| -------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Harris County (fb:m.0mrhq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Harris County (fb:m.0mrhq) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/4820199999                                         |
| Harris County (fb:m.0mrhq) | Name (fb:type.object.name)                                          | Comté de Harris (fr)                                                     |
| Harris County (fb:m.0mrhq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%42%27%37%39%29_%47%27%31%4A%33>        |
| Harris County (fb:m.0mrhq) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258c54gv                                                           |
| Harris County (fb:m.0mrhq) | Notable types (fb:common.topic.notable_types)                       | US County (fb:m.0kpym_)                                                  |
| Harris County (fb:m.0mrhq) | Description (fb:common.topic.description)                           | Comitatul Harris este un comitat...xas, Statele Unite ale Americii. (ro) |
| Harris County (fb:m.0mrhq) | Article (fb:common.topic.article)                                   | fb:m.0mrhy                                                               |
| Harris County (fb:m.0mrhq) | Also known as (fb:common.topic.alias)                               | Harris County, Texas (en)                                                |
| Harris County (fb:m.0mrhq) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                        | ...                                                                 | ...                                                                      |

[Assistant]
From the properties, I see "Contained by" (fb:location.location.containedby), but I need the inverse: what locations are contained within Harris County? This is likely "Contains" or a similar property.

I'll search for properties of Harris County related to "contains" or "location".

[Tool]
Top 10 property alternatives:
1. Contains (fb:location.location.contains): part of Location schema, links to type Location
2. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Capital (fb:location.administrative_division.capital): links to type Administrative division/capital relationship, part of Administrative Division schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema

No other items found

[Assistant]
The property "Contains" (fb:location.location.contains) is likely what links Harris County to the cities or places it contains.

I'll now query for all locations that Harris County (fb:m.0mrhq) contains, and check if Houston (fb:m.03l2n) is among them. I'll also retrieve the labels for clarity.

[Tool]
Got 1,791 rows and 2 columns, showing the first 5 and last 5 rows below:
| city                 | cityLabel    |
| -------------------- | ------------ |
| Aldine (fb:m.0102fr) | Aldine (en)  |
| Aldine (fb:m.0102fr) | Aldine (es)  |
| Aldine (fb:m.0102fr) | Aldine (fr)  |
| Aldine (fb:m.0102fr) | Aldine (hr)  |
| Aldine (fb:m.0102fr) | Aldine (it)  |
| ...                  | ...          |
| Houston (fb:m.0x0rh) | Houston (nl) |
| Houston (fb:m.0x0rh) | Houston (pl) |
| Houston (fb:m.0x0rh) | Houston (pt) |
| Houston (fb:m.0x0rh) | Хаустон (sr) |
| Houston (fb:m.0x0rh) | هوستن (ar)   |

[Assistant]
The query shows that Harris County (fb:m.0mrhq) contains an entity Houston (fb:m.0x0rh), which is different from the previously used Houston entity (fb:m.03l2n). This suggests that fb:m.0x0rh may be the correct entity for Houston, TX as it relates to Harris County.

To confirm, I'll check the labels and types for fb:m.0x0rh to ensure it represents Houston, Texas (the city).

[Tool]
Got 261 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                            | object                                                                   |
| -------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Houston (fb:m.0x0rh) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Houston (fb:m.0x0rh) | Key (fb:type.object.key)                                            | /authority/gnis/735656                                                   |
| Houston (fb:m.0x0rh) | Name (fb:type.object.name)                                          | Houston (ca)                                                             |
| Houston (fb:m.0x0rh) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%47%48%33%2A%46>                           |
| Houston (fb:m.0x0rh) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255c5x8g                                                           |
| Houston (fb:m.0x0rh) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Houston (fb:m.0x0rh) | Description (fb:common.topic.description)                           | Houston es una ciudad ubicada en...onal de 220,37 personas por km². (es) |
| Houston (fb:m.0x0rh) | Article (fb:common.topic.article)                                   | fb:m.0x0rn                                                               |
| Houston (fb:m.0x0rh) | Also known as (fb:common.topic.alias)                               | Houston, Missouri (en)                                                   |
| Houston (fb:m.0x0rh) | Contained by (fb:location.location.containedby)                     | Harris County (fb:m.0mrhq)                                               |
| ...                  | ...                                                                 | ...                                                                      |

[Assistant]
The entity fb:m.0x0rh is of type City/Town/Village and is "contained by" Harris County (fb:m.0mrhq). This confirms it represents Houston, TX as it relates to Harris County.

Now, to answer the original question—what county is Houston, TX in?—I should query all counties that contain a city named Houston in Texas, and also check all counties that the main Houston entity is "contained by". I'll also include the "contained by" property for completeness.

I'll construct a query that, for both Houston entities (fb:m.03l2n and fb:m.0x0rh), retrieves all counties they are "contained by" or that "contain" them, and get the county labels.

[Tool]
Got 119 rows and 2 columns, showing the first 5 and last 5 rows below:
| county                       | countyLabel        |
| ---------------------------- | ------------------ |
| Texas (fb:m.07b_l)           | Teksas (pl)        |
| Texas (fb:m.07b_l)           | Teksas (sl)        |
| Texas (fb:m.07b_l)           | Teksas (tr)        |
| Texas (fb:m.07b_l)           | Teksasa (lv)       |
| Texas (fb:m.07b_l)           | Teksasas (lt)      |
| ...                          | ...                |
| Harris County (fb:m.0mrhq)   | 哈里斯縣 (zh)          |
| Harris County (fb:m.0mrhq)   | 哈里斯縣 (zh-Hant)     |
| Area code 281 (fb:m.0t4vzm6) | Area code 281 (en) |
| Area code 713 (fb:m.0t4vzns) | Area code 713 (en) |
| Area code 832 (fb:m.0t4vzqq) | Area code 832 (en) |

[Tool]
Got 27 rows and 2 columns, showing the first 5 and last 5 rows below:
| county                     | countyLabel                |
| -------------------------- | -------------------------- |
| Harris County (fb:m.0mrhq) | Comté de Harris (fr)       |
| Harris County (fb:m.0mrhq) | Condado de Harris (es)     |
| Harris County (fb:m.0mrhq) | Condado de Harris (es-419) |
| Harris County (fb:m.0mrhq) | Condado de Harris (pt)     |
| Harris County (fb:m.0mrhq) | Contea di Harris (it)      |
| ...                        | ...                        |
| Harris County (fb:m.0mrhq) | شهرستان هریس، تگزاس (fa)   |
| Harris County (fb:m.0mrhq) | مقاطعة هاريس (ar)          |
| Harris County (fb:m.0mrhq) | ハリス郡 (ja)                  |
| Harris County (fb:m.0mrhq) | 哈里斯縣 (zh)                  |
| Harris County (fb:m.0mrhq) | 哈里斯縣 (zh-Hant)             |

[Tool]
Got 27 rows and 2 columns, showing the first 5 and last 5 rows below:
| county                     | countyLabel                |
| -------------------------- | -------------------------- |
| Harris County (fb:m.0mrhq) | Comté de Harris (fr)       |
| Harris County (fb:m.0mrhq) | Condado de Harris (es)     |
| Harris County (fb:m.0mrhq) | Condado de Harris (es-419) |
| Harris County (fb:m.0mrhq) | Condado de Harris (pt)     |
| Harris County (fb:m.0mrhq) | Contea di Harris (it)      |
| ...                        | ...                        |
| Harris County (fb:m.0mrhq) | شهرستان هریس، تگزاس (fa)   |
| Harris County (fb:m.0mrhq) | مقاطعة هاريس (ar)          |
| Harris County (fb:m.0mrhq) | ハリス郡 (ja)                  |
| Harris County (fb:m.0mrhq) | 哈里斯縣 (zh)                  |
| Harris County (fb:m.0mrhq) | 哈里斯縣 (zh-Hant)             |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct in identifying Harris County (fb:m.0mrhq) as the county for Houston, TX. However, the SPARQL query includes both Houston, TX (fb:m.03l2n) and Houston, Missouri (fb:m.0x0rh) in the VALUES clause, which is unnecessary and could potentially introduce ambiguity. Only fb:m.03l2n should be used for Houston, TX. Additionally, the query returns multiple rows for the same county due to different language labels; this is not a problem, but it could be refined by either limiting to English labels or just returning the IRI as required. Overall, the query works but could be more precise.

[Assistant]
Thank you for the feedback. To refine the query:

- I will use only the correct entity for Houston, TX (fb:m.03l2n).
- I will keep the query simple and focused, returning just the county IRIs and, optionally, the English label for clarity.
- I will filter the label to English using a FILTER clause.

Here is the improved SPARQL query:

```sparql
SELECT DISTINCT ?county ?countyLabel WHERE {
  fb:m.03l2n fb:location.location.containedby ?county .
  ?county fb:type.object.type fb:location.us_county .
  OPTIONAL { ?county rdfs:label ?countyLabel . FILTER(LANG(?countyLabel) = 'en') }
}
```

This will return only the US county or counties that Houston, TX is contained by, with an English label if available.

Final answer:

[Tool] Stopped generation process


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

Got 33 rows and 2 columns, showing the first 5 and last 5 rows below:
| currency                       | currencyLabel           |
| ------------------------------ | ----------------------- |
| Singapore dollar (fb:m.02f32g) | Dólar de Singapur (es)  |
| Singapore dollar (fb:m.02f32g) | Dòlar de Singapur (ca)  |
| Singapore dollar (fb:m.02f32g) | Dólar de Singapura (pt) |
| Singapore dollar (fb:m.02f32g) | Dolar Singapura (id)    |
| Singapore dollar (fb:m.02f32g) | Dolar Singapura (ms)    |
| ...                            | ...                     |
| Singapore dollar (fb:m.02f32g) | ดอลลาร์สิงคโปร์ (th)    |
| Singapore dollar (fb:m.02f32g) | 싱가포르 달러 (ko)            |
| Singapore dollar (fb:m.02f32g) | シンガポールドル (ja)           |
| Singapore dollar (fb:m.02f32g) | 新加坡元 (zh)               |
| Singapore dollar (fb:m.02f32g) | 新加坡元 (zh-Hant)          |

Singapore uses the Singapore dollar as its currency. (Freebase ID: fb:m.02f32g)

[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 http://galera:7002

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

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

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

[User] what currency does singapore use?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Singapore".
2. We need to find the property that relates a country to its currency.
3. We need to construct a query that returns the currency used by Singapore.

First, I will search for the entity "Singapore" in Freebase.

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

[Assistant]
The correct entity for the country Singapore is fb:m.06t2t.

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

[Tool]
Top 10 property alternatives:
1. Currency (fb:user.robert.earthquakes.qualified_money_value.currency): part of Qualified money value schema, links to type Currency
2. Currency (fb:base.motorcycle.option_package.currency): part of Option package schema, links to type Currency
3. Currency (fb:base.cars_refactor.msrp.currency): links to type Currency, part of MSRP schema
4. Currency (fb:base.community.local_currency_area.currency): part of Local currency area schema, links to type Local currency
5. Currency (fb:business.market_size.currency): part of Market size schema, links to type Currency
6. Currency (fb:base.lightweight.regional_dated_money_value.currency): part of Regional Dated Money Value schema, links to type Currency
7. Currency (fb:business.currency_sub_unit.currency): part of Currency sub-unit schema, links to type Currency
8. Currency (fb:base.motorcycle.motorcycle_w_option_package_msrp.currency): part of Motorcycle w/ option package MSRP schema, links to type Currency
9. Currency (fb:base.retail.retail_inventory_line.currency): part of Retail Inventory Line schema, links to type Currency
10. Currency (fb:book.newspaper_price.currency): part of Newspaper price schema, links to type Currency

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

No other items found

[Assistant]
The property fb:location.country.currency_used ("Currency Used") is the appropriate property to link Singapore to its currency.

Now, I will construct a SPARQL query to find the currency used by Singapore (fb:m.06t2t) using the property fb:location.country.currency_used. I will also try to get the label of the currency for clarity.

[Tool]
Got 33 rows and 2 columns, showing the first 5 and last 5 rows below:
| currency                       | currencyLabel           |
| ------------------------------ | ----------------------- |
| Singapore dollar (fb:m.02f32g) | Dólar de Singapur (es)  |
| Singapore dollar (fb:m.02f32g) | Dòlar de Singapur (ca)  |
| Singapore dollar (fb:m.02f32g) | Dólar de Singapura (pt) |
| Singapore dollar (fb:m.02f32g) | Dolar Singapura (id)    |
| Singapore dollar (fb:m.02f32g) | Dolar Singapura (ms)    |
| ...                            | ...                     |
| Singapore dollar (fb:m.02f32g) | ดอลลาร์สิงคโปร์ (th)    |
| Singapore dollar (fb:m.02f32g) | 싱가포르 달러 (ko)            |
| Singapore dollar (fb:m.02f32g) | シンガポールドル (ja)           |
| Singapore dollar (fb:m.02f32g) | 新加坡元 (zh)               |
| Singapore dollar (fb:m.02f32g) | 新加坡元 (zh-Hant)          |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and the SPARQL query follows the required rules. It returns the actual identifier (IRI) of the currency used by Singapore, and the labels are included as optional information. The result is complete and accurate for the user's question.