PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?event ?startDate WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?event .
  ?event rdfs:label ?eventLabel .
  FILTER ( CONTAINS( LCASE( ?eventLabel ) , "world series" ) ) ?event fb:time.event.start_date ?startDate .
}
ORDER BY DESC ( ?startDate )
LIMIT 1

The last time the San Francisco Giants won the World Series was in 2014.

[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] when is the last time the giants won the world series?

[Assistant]
Let's break down the question:

1. "Giants" likely refers to the San Francisco Giants (a Major League Baseball team).
2. "World Series" is the championship series of Major League Baseball.
3. The question asks for the most recent (last) year the Giants won the World Series.

First, I need to identify the correct entity for the San Francisco Giants in Freebase. Then, I need to find properties related to "World Series wins" or "championships" and extract the most recent year.

I'll start by searching for the "San Francisco Giants" entity in Freebase.

[Tool]
Top 10 entity alternatives:
1. San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., has type Professional Sports Team
2. San Francisco Giants (fb:m.0jbcpm9)
3. San Francisco Giants (fb:m.0blr62q)
4. San Francisco Giants almanac (fb:m.06sfdq6): has type Book
5. The San Francisco Giants (fb:m.06b1lj5): has type Book
6. San Francisco Giants Player (fb:m.09nbdkm): has type Fictional Character
7. The San Francisco Giants (fb:m.0d0sgdl): has type Book Edition
8. San Francisco Giants Hat (fb:m.064tr9f)
9. 2006 San Francisco Giants season (fb:m.02vl_1p): The 2006 San Francisco Giants season was the Giants' 124th year ...West with a 76-85 record, 11½ games behind the San Diego Padres., has type Sports League Season
10. 1996 San Francisco Giants season (fb:m.03cr8xs): The 1996 San Francisco Giants season was the Giants' 114th seaso...West with an 68-94 record, 23 games behind the San Diego Padres., has type Sports League Season

[Assistant]
The top result, fb:m.0713r, is the main entity for the San Francisco Giants (also known as New York Giants). This is the correct entity for the professional baseball team.

Next, I need to find properties related to "World Series wins" or "championships" for this entity. I'll search for properties related to "World Series" for the San Francisco Giants.

[Tool]
Top 10 property alternatives:
1. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
2. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
3. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
4. League (fb:baseball.baseball_team.league): links to type Baseball League, part of Baseball Team schema
5. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
6. Team Stats (fb:baseball.baseball_team.team_stats): links to type Baseball Team Stats, part of Baseball Team schema
7. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
8. Season Record (fb:sports.sports_team.season_record): links to type Sports Team Season Record, part of Sports Team schema
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Rivals (fb:base.rivalries.rival.rivals): links to type Rivalry, part of Rival schema

No other items found

[Assistant]
The most relevant property is "Championships" (fb:sports.sports_team.championships), which likely links to events such as the World Series.

Next, I need to see what kind of information is available through this property for the San Francisco Giants, specifically looking for World Series wins and their dates. I'll list some triples for the San Francisco Giants with the "Championships" property.

[Tool]
Got 3 rows and 3 columns:
| subject                           | property                                            | object                            |
| --------------------------------- | --------------------------------------------------- | --------------------------------- |
| San Francisco Giants (fb:m.0713r) | Championships (fb:sports.sports_team.championships) | 2012 World Series (fb:m.0ds8qct)  |
| San Francisco Giants (fb:m.0713r) | Championships (fb:sports.sports_team.championships) | 2014 World Series (fb:m.0117q3yz) |
| San Francisco Giants (fb:m.0713r) | Championships (fb:sports.sports_team.championships) | 2010 World Series (fb:m.09gnk2r)  |

[Assistant]
The San Francisco Giants have three recent championships listed: the 2010, 2012, and 2014 World Series. To answer the question, I need to confirm which is the most recent (last) win.

From the data, the 2014 World Series (fb:m.0117q3yz) is the latest. To be thorough, I will check if there are any championships after 2014 by looking for more recent ones, but based on the data, 2014 is likely the answer.

To provide a complete answer, I'll write a SPARQL query that retrieves all World Series championships for the San Francisco Giants, sorts them by year (if possible), and returns the latest one. I'll also try to get the year as a value.

First, I need to check if the World Series event entities have a property indicating the year. I'll list properties for the 2014 World Series entity.

[Tool]
Got 128 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                                            | object                                                                   |
| --------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| 2014 World Series (fb:m.0117q3yz) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| 2014 World Series (fb:m.0117q3yz) | Key (fb:type.object.key)                                            | /dataworld/freeq/job_6b792f7c-9c...pedia_org_wiki_2014_World_Series      |
| 2014 World Series (fb:m.0117q3yz) | Name (fb:type.object.name)                                          | 2014 World Series (en)                                                   |
| 2014 World Series (fb:m.0117q3yz) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=8414340>                  |
| 2014 World Series (fb:m.0117q3yz) | Notable for (fb:common.topic.notable_for)                           | fb:g.11b5pgvyp1                                                          |
| 2014 World Series (fb:m.0117q3yz) | Notable types (fb:common.topic.notable_types)                       | Sports League Championship Event (fb:m.025b7q2)                          |
| 2014 World Series (fb:m.0117q3yz) | Description (fb:common.topic.description)                           | 2014년 월드 시리즈는 제110회 메이저 리그 야구 월드...스가 대결하여 샌프란시스코가 4승 3패로 우승을 차지한다. (ko) |
| 2014 World Series (fb:m.0117q3yz) | Start date (fb:time.event.start_date)                               | 2014-10-22 (xsd:date)                                                    |
| 2014 World Series (fb:m.0117q3yz) | End date (fb:time.event.end_date)                                   | 2014-10-30 (xsd:date)                                                    |
| 2014 World Series (fb:m.0117q3yz) | Champion (fb:sports.sports_championship_event.champion)             | San Francisco Giants (fb:m.0713r)                                        |
| ...                               | ...                                                                 | ...                                                                      |

[Assistant]
The 2014 World Series entity has a "Start date" (fb:time.event.start_date) and "End date" (fb:time.event.end_date) property, which can be used to extract the year.

Now, I will write a SPARQL query to:
- Get all championship events for the San Francisco Giants.
- Filter for those whose name contains "World Series".
- Get the start date for each event.
- Return the event with the latest start date (i.e., the most recent World Series win).

Let's construct the query.

[Tool]
Got 1 row and 3 columns:
| event                             | eventLabel             | startDate             |
| --------------------------------- | ---------------------- | --------------------- |
| 2014 World Series (fb:m.0117q3yz) | 2014 World Series (en) | 2014-10-22 (xsd:date) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the most recent World Series championship event for the San Francisco Giants by filtering for events with 'world series' in the label and ordering by start date. However, the query only returns the event IRI and not the actual date of the event, which is crucial for answering 'when' the Giants last won the World Series. The query should be refined to also return the ?startDate variable, so the answer includes the specific year (2014) as required by the question.

[Assistant]
Thank you for your feedback. You are correct: the query should return the actual date of the event (the start date), so that the answer includes the specific year the Giants last won the World Series.

I will refine the SPARQL query to return both the event IRI and the start date (?startDate), so the answer can explicitly include the year.

Here is the improved query:

```sparql
SELECT ?event ?startDate WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?event .
  ?event rdfs:label ?eventLabel .
  FILTER(CONTAINS(LCASE(?eventLabel), "world series"))
  ?event fb:time.event.start_date ?startDate .
}
ORDER BY DESC(?startDate)
LIMIT 1
```

Now, I will provide the answer using this refined query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the most recent World Series championship event for the San Francisco Giants by filtering for events labeled 'World Series' and ordering by the start date in descending order, then limiting to the most recent one. The answer matches the expected result (2014). The query also returns the actual IRI of the event and its date, following the guidelines. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?officeholder ?officeholderLabel WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?pos .
  ?pos fb:government.government_position_held.office_position_or_title fb:m.01h_0k .
  ?pos fb:government.government_position_held.office_holder ?officeholder .
  OPTIONAL {
    ?officeholder rdfs:label ?officeholderLabel
  }
  FILTER NOT EXISTS {
    ?pos fb:government.government_position_held.to ?to
  }
}

Got 22 rows and 2 columns, showing the first 5 and last 5 rows below:
| officeholder             | officeholderLabel       |
| ------------------------ | ----------------------- |
| Rick Scott (fb:m.0btx2g) | Richard Lynn Scott (pt) |
| Rick Scott (fb:m.0btx2g) | Rick Scott (ca)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (cs)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (da)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (de)         |
| ...                      | ...                     |
| Rick Scott (fb:m.0btx2g) | Рік Скотт (uk)          |
| Rick Scott (fb:m.0btx2g) | ريك سكوت (ar)           |
| Rick Scott (fb:m.0btx2g) | ریک اسکات (fa)          |
| Rick Scott (fb:m.0btx2g) | 瑞克·史考特 (zh-Hant)        |
| Rick Scott (fb:m.0btx2g) | 里克·斯科特 (zh)             |

According to the most up-to-date data in Freebase, the state governor of Florida is Rick Scott (fb:m.0btx2g).

[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 the state governor of florida?

[Assistant]
Let's break down the question:

1. The user is asking for the current state governor of Florida.
2. We need to identify the entity for "Florida" (the U.S. state) and the property for "state governor" (likely something like "head of government" or "governor").
3. We'll search for the entity "Florida" and then for the relevant property to get the governor.

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

[Tool]
Top 10 entity alternatives:
1. Florida, also known as Sunshine State, State of Florida, Fla, FL (fb:m.02xry): Florida /ˈflɒrɪdə/ is a state in the southeast United States, bo...anther and manatee can be found in the Everglades National Park., has type US State
2. Florida, also known as Florida / Florida city, Florida, Puerto Rico (fb:m.02_zf2): Florida is a municipality of Puerto Rico located north of Ciales...t of the San Juan-Caguas-Guaynabo Metropolitan Statistical Area., has type Puerto Rican Municipality
3. Florida Department, also known as Florida, Departamento De Florida (fb:m.05vn9s): Florida is a department of Uruguay. Its capital is Florida. It i...ts south and the departments of Flores and San José to its west., has type Administrative Division
4. Florida, also known as Florida, Uruguay (fb:m.06xkgz): Florida is the capital of Florida Department of Uruguay. Having ... it is home to almost half of the inhabitants of the department., has type City/Town/Village
5. Florida, also known as Florida, Ohio, Henry County / Florida village (fb:m.0yyl3): Florida is a village in Henry County, Ohio, United States, along the Maumee River. The population was 232 at the 2010 census., has type City/Town/Village
6. Florida, also known as Florida, Missouri, Monroe County / Florida village (fb:m.0wx_x): Florida is a village in Monroe County, Missouri, United States. ...c Site is located in Florida, with Mark Twain State Park nearby., has type City/Town/Village
7. Florida, also known as Florida, Orange County, New York, Florida, New York (fb:m.0y4qp): Florida is a village in Orange County, New York, United States. ...mayor is James R. Pawliczek, Sr., who was elected in March 2002., has type City/Town/Village
8. Florida, also known as Florida, Valle del Cauca (fb:m.02qn6h6): Florida is a town and municipality located in the Department of ...and foods, including a variety of fruit, vegetables, and crafts., has type City/Town/Village
9. Florida, also known as Florida, Cuba (fb:m.0c2tl3): Florida is a municipality and city in the Camagüey Province of C...f the Cuban province of Camagüey, Florida is third in area size., has type City/Town/Village
10. Florida, also known as Florida, Massachusetts (fb:m.0tybf): Florida is a town in Berkshire County, Massachusetts, United Sta...rury. At the 2010 census the town had a total population of 752., has type City/Town/Village

[Assistant]
The correct entity for the U.S. state of Florida is fb:m.02xry.

Next, I need to find the property in Freebase that represents the "state governor" or "governor" of a U.S. state. I'll search for properties related to "governor" for the entity fb:m.02xry.

[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 positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
3. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
4. Administrative parent (fb:base.aareas.schema.administrative_area.administrative_parent): part of Administrative Area schema, links to type Administrative Area
5. Representatives (fb:government.political_district.representatives): links to type Government Position Held, part of Political District schema
6. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
7. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
8. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
9. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant]
The most relevant property appears to be "Governing officials" (fb:government.governmental_jurisdiction.governing_officials), which links to government positions held, such as governor.

Next, I'll list some triples for Florida (fb:m.02xry) using this property to see how the data is structured and to identify the governor.

[Tool]
Got 89 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                                          | object        |
| -------------------- | --------------------------------------------------------------------------------- | ------------- |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.010dz4dg |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.010dzhkh |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.0115c969 |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.0115gjyq |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.011lsz2k |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.01z0fr4  |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04vb4_4  |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04vb4_d  |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04vb4_j  |
| Florida (fb:m.02xry) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04vb4_n  |
| ...                  | ...                                                                               | ...           |

[Assistant]
The property "governing officials" for Florida returns multiple entities, each likely representing a government official (possibly including governors, lieutenant governors, etc.).

To identify which of these is the current governor, I need to:
- Check which of these officials holds the position of "Governor."
- Optionally, filter for the most recent or current officeholder.

First, I'll check what properties are available for one of these governing official entities (e.g., fb:m.010dz4dg) to see how the office and time period are represented.

[Tool]
Got 8 rows and 3 columns:
| subject       | property                                                                                | object                                                            |
| ------------- | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.010dz4dg | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.010dz4dg | Officeholder (fb:government.government_position_held.office_holder)                          | Jennifer Carroll (fb:m.052_km9)                                   |
| fb:m.010dz4dg | From (fb:government.government_position_held.from)                                           | 2011-01-04 (xsd:date)                                             |
| fb:m.010dz4dg | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Lieutenant Governor of Florida (fb:m.0d640l)                      |
| fb:m.010dz4dg | Basic title (fb:government.government_position_held.basic_title)                             | Lieutenant Governor (fb:m.0fkzq)                                  |
| fb:m.010dz4dg | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Florida (fb:m.02xry)                                              |
| fb:m.010dz4dg | To (fb:government.government_position_held.to)                                               | 2013-03-12 (xsd:date)                                             |
| fb:m.010dz4dg | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
From the properties, I see that each "Government Position Held" entity has:
- An officeholder (person)
- An office/position/title (e.g., "Lieutenant Governor of Florida")
- A jurisdiction (e.g., Florida)
- Start and end dates

To find the current governor, I need to:
1. Filter for "Governor of Florida" as the office/position/title.
2. Find the one with either no end date or the most recent start date.

I'll search for the entity representing "Governor of Florida" to use as a filter.

[Tool]
Top 10 entity alternatives:
1. Governor of Florida (fb:m.01h_0k): has type Government Office or Title
2. Lieutenant Governor of Florida (fb:m.0d640l): The Lieutenant Governor of Florida is a statewide elected office...ce by Gov. Rick Scott to succeed Jennifer Carroll, who resigned., has type Government Office or Title
3. Florida Board of Governors, also known as Florida Board of Governors, Tallahassee (fb:m.05jxqs): The Florida Board of Governors is a 17-member governing board th...0 undergraduates, and 55,175 graduate and professional students., has type Organization
4. Governor LeRoy Collins of Florida (fb:m.0c46bkl): has type Book
5. Royal Governor of La Florida (fb:m.0535q1y): has type Government Office or Title
6. David Shelby Walker, eighth governor of Florida. (fb:m.02dwp33)
7. Cracker messiah, Governor Sidney J. Catts of Florida (fb:m.08w0xvv): has type Book Edition
8. Cracker messiah, Governor Sidney J. Catts of Florida (fb:m.069kmsb): has type Book
9. Florida, also known as Sunshine State, State of Florida, Fla, FL (fb:m.02xry): Florida /ˈflɒrɪdə/ is a state in the southeast United States, bo...anther and manatee can be found in the Everglades National Park., has type US State
10. University of Florida, also known as U of F, University of Florida, Gainsville, University of Florida, Gainesville, UF (fb:m.0j_sncb): The University of Florida is an American public land-grant, sea-...a as the fourteenth best public university in the United States., has type College/University

[Assistant]
The correct entity for "Governor of Florida" is fb:m.01h_0k.

Now, I will write a SPARQL query to:
- Find all "Government Position Held" entities for Florida's governing officials.
- Filter those where the office/position/title is "Governor of Florida" (fb:m.01h_0k).
- Get the officeholder (person).
- Optionally, get the start and end dates to identify the current governor (the one with no end date or the latest start date).

I'll include the officeholder's IRI and optionally their label.

[Tool]
Got 334 rows and 4 columns, showing the first 5 and last 5 rows below:
| officeholder               | officeholderLabel       | from                  | to                    |
| -------------------------- | ----------------------- | --------------------- | --------------------- |
| Rick Scott (fb:m.0btx2g)   | Rick Scott (cs)         | 2011-01-04 (xsd:date) |                       |
| Rick Scott (fb:m.0btx2g)   | Rick Scott (ca)         | 2011-01-04 (xsd:date) |                       |
| Rick Scott (fb:m.0btx2g)   | Richard Lynn Scott (pt) | 2011-01-04 (xsd:date) |                       |
| Rick Scott (fb:m.0btx2g)   | Rick Scott (no)         | 2011-01-04 (xsd:date) |                       |
| Rick Scott (fb:m.0btx2g)   | 瑞克·史考特 (zh-Hant)        | 2011-01-04 (xsd:date) |                       |
| ...                        | ...                     | ...                   | ...                   |
| Andrew Jackson (fb:m.0rlz) | ऐन्ड्रयू जैकसन (hi)     | 1821-03-10 (xsd:date) | 1821-12-31 (xsd:date) |
| Andrew Jackson (fb:m.0rlz) | แอนดรูว์ แจ็กสัน (th)   | 1821-03-10 (xsd:date) | 1821-12-31 (xsd:date) |
| Andrew Jackson (fb:m.0rlz) | 앤드루 잭슨 (ko)             | 1821-03-10 (xsd:date) | 1821-12-31 (xsd:date) |
| Andrew Jackson (fb:m.0rlz) | アンドリュー・ジャクソン (ja)       | 1821-03-10 (xsd:date) | 1821-12-31 (xsd:date) |
| Andrew Jackson (fb:m.0rlz) | 安德魯·傑克遜 (zh-Hant)       | 1821-03-10 (xsd:date) | 1821-12-31 (xsd:date) |

[Assistant]
The most recent governor listed in the data is Rick Scott (fb:m.0btx2g), with a start date of 2011-01-04 and no end date indicated. This suggests that, according to the Freebase data, Rick Scott is the current governor of Florida.

Here is the SPARQL query that retrieves the state governor of Florida, returning the IRI of the officeholder and their label:

```sparql
SELECT ?officeholder ?officeholderLabel ?from ?to WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?pos .
  ?pos fb:government.government_position_held.office_position_or_title fb:m.01h_0k .
  ?pos fb:government.government_position_held.office_holder ?officeholder .
  OPTIONAL { ?officeholder rdfs:label ?officeholderLabel }
  OPTIONAL { ?pos fb:government.government_position_held.from ?from }
  OPTIONAL { ?pos fb:government.government_position_held.to ?to }
} ORDER BY DESC(?from)
```

Based on the Freebase data, the answer is: Rick Scott (fb:m.0btx2g) is the state governor of Florida.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves all governors of Florida, ordered by the start date, but does not filter for the current governor. The answer provided (Rick Scott) is outdated; as of 2024, the governor is Ron DeSantis. To improve, the query should filter for the most recent officeholder whose 'to' date is either missing (indicating they are still in office) or is the latest. The answer should be updated accordingly. Additionally, the query correctly returns IRIs, but the answer should be based on the most up-to-date data available in the knowledge graph.

[Assistant]
Thank you for the feedback. To refine the answer, I need to ensure the SPARQL query returns only the current governor of Florida. This means:
- Filtering for the "Governor of Florida" position.
- Selecting only the officeholder whose 'to' date is either missing (indicating they are still in office) or is the most recent.

I'll write a SPARQL query that:
- Finds all "Governor of Florida" positions for Florida.
- Filters for the officeholder where the 'to' date is not present (i.e., currently in office).
- Returns the officeholder's IRI and label.

Let's proceed with this refined query.

[Tool]
Got 22 rows and 2 columns, showing the first 5 and last 5 rows below:
| officeholder             | officeholderLabel       |
| ------------------------ | ----------------------- |
| Rick Scott (fb:m.0btx2g) | Richard Lynn Scott (pt) |
| Rick Scott (fb:m.0btx2g) | Rick Scott (ca)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (cs)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (da)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (de)         |
| ...                      | ...                     |
| Rick Scott (fb:m.0btx2g) | Рік Скотт (uk)          |
| Rick Scott (fb:m.0btx2g) | ريك سكوت (ar)           |
| Rick Scott (fb:m.0btx2g) | ریک اسکات (fa)          |
| Rick Scott (fb:m.0btx2g) | 瑞克·史考特 (zh-Hant)        |
| Rick Scott (fb:m.0btx2g) | 里克·斯科特 (zh)             |

[Assistant]
The refined query correctly filters for the current governor by excluding any position with a 'to' date. According to the latest data in Freebase, the officeholder is still Rick Scott (fb:m.0btx2g). However, please note that this data is outdated—Ron DeSantis is the current governor as of 2024, but Freebase does not reflect this.

Here is the improved SPARQL query:

```sparql
SELECT ?officeholder ?officeholderLabel WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?pos .
  ?pos fb:government.government_position_held.office_position_or_title fb:m.01h_0k .
  ?pos fb:government.government_position_held.office_holder ?officeholder .
  OPTIONAL { ?officeholder rdfs:label ?officeholderLabel }
  FILTER NOT EXISTS { ?pos fb:government.government_position_held.to ?to }
}
```

Based on the most up-to-date data available in Freebase, the state governor of Florida is Rick Scott (fb:m.0btx2g).

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-formed and correctly retrieves the current governor of Florida according to the Freebase knowledge graph. It returns the IRI of the officeholder and optionally their labels, as required. The use of the FILTER NOT EXISTS clause ensures that only the current officeholder is returned. The answer is accurate and the query follows all specified rules.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?sport ?sportType ?sportTypeLabel ?position ?positionLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL {
    ?sport fb:sports.pro_sports_played.sport ?sportType .
    OPTIONAL {
      ?sportType rdfs:label ?sportTypeLabel .
      FILTER ( lang( ?sportTypeLabel ) = 'en' )
    }
  }
  OPTIONAL {
    fb:m.02d9k fb:soccer.football_player.position_s ?position .
    OPTIONAL {
      ?position rdfs:label ?positionLabel .
      FILTER ( lang( ?positionLabel ) = 'en' )
    }
  }
}

David Beckham played the sport of football (soccer) (sport IRI: fb:m.02vx4, English label: Football) and his position was midfielder (position IRI: fb:m.02nzb8, English label: Midfielder). The result is based on IRIs and English labels only.

[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 does david beckham play?

[Assistant]
Let's break down the question:

1. The user is asking about "David Beckham" and what he "plays." This likely refers to the sport or position he plays, or possibly the teams he has played for.
2. First, I need to identify the entity for "David Beckham" in Freebase.
3. Then, I need to search for properties related to what he "plays"—this could be "sport," "position," or "team."

I'll start by searching for the entity "David Beckham" in Freebase.

[Tool]
Top 10 entity alternatives:
1. David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity
2. David Beckham, also known as The Real Housewives of Atlanta, David Beckham, Lady Gaga, former...onaire\" contestant Donald Leake (fb:m.0j940xl): has type TV Episode
3. David Beckham (fb:m.0j61xrm): has type TV Episode
4. David Beckham (fb:m.0xglw04): has type Musical Recording
5. David Beckham (fb:m.0j943qd): The sexiest man in the world is back in L.A.! DAVID BECKHAM reco...today she's got another fun Hasbro game that everyone will love!, has type TV Episode
6. David Beckham (fb:m.07n5tdc): has type TV Episode
7. David Beckham (fb:m.0dn17_j): has type Musical Recording
8. David Beckham (fb:m.0wgkm6r): The Spice boy is probably the most famous football player on the...his first professional contract, this follows a football legend., has type TV Episode
9. David Beckham (fb:m.0jsl5cy): has type TV Episode
10. David Beckham (fb:m.0g51qxd): has type Film character

[Assistant]
The top result for "David Beckham" is fb:m.02d9k, which matches the famous English footballer.

Next, I need to determine what properties are available for this entity that relate to what he "plays." This could include properties like "sport," "position," or "team." I'll search for properties related to "play" for this entity.

[Tool]
Top 10 property alternatives:
1. Sports played (fb:sports.pro_athlete.sports_played_professionally): links to type Sports played, part of Athlete schema
2. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
3. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
4. Bought (fb:base.popstra.celebrity.bought): links to type Product Choice, part of Celebrity schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Children (fb:people.person.children): part of Person schema, links to type Person
9. Parties (fb:base.popstra.celebrity.parties): links to type Party Attendance, part of Celebrity schema
10. Position(s) (fb:soccer.football_player.position_s): links to type Football Position, part of Football player schema

No other items found

[Assistant]
The relevant properties for "what does David Beckham play?" are:

- Sports played (fb:sports.pro_athlete.sports_played_professionally)
- Teams (fb:sports.pro_athlete.teams)
- Position(s) (fb:soccer.football_player.position_s)

To answer the question most directly, I should focus on "Sports played" and "Position(s)", as these tell us what he plays (the sport and his position).

I'll construct a SPARQL query to retrieve the sports and positions David Beckham played, including their identifiers and optionally their labels.

[Tool]
Got 38 rows and 4 columns, showing the first 5 and last 5 rows below:
| sport        | sportLabel | position                 | positionLabel       |
| ------------ | ---------- | ------------------------ | ------------------- |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Centrecampista (ca) |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Centrocampista (es) |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Centrocampista (it) |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Gelandang (id)      |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Középpályás (hu)    |
| ...          | ...        | ...                      | ...                 |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | กองกลาง (th)        |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | 미드필더 (ko)           |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | ミッドフィールダー (ja)      |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | 中场 (zh)             |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | 中場 (zh-Hant)        |

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                        | object                                      |
| ------------ | ----------------------------------------------- | ------------------------------------------- |
| fb:m.0d5fbb8 | Type (fb:type.object.type)                      | Sports played (fb:sports.pro_sports_played) |
| fb:m.0d5fbb8 | Athlete (fb:sports.pro_sports_played.athlete)   | David Beckham (fb:m.02d9k)                  |
| fb:m.0d5fbb8 | Sport (fb:sports.pro_sports_played.sport)       | Football (fb:m.02vx4)                       |
| fb:m.0d5fbb8 | From (fb:sports.pro_sports_played.career_start) | 1992 (xsd:gYear)                            |
| fb:m.0d5fbb8 | To (fb:sports.pro_sports_played.career_end)     | 2013 (xsd:gYear)                            |
| fb:m.0d5fbb8 | rdf:type                                        | Sports played (fb:sports.pro_sports_played) |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                      |
| ------------------------ | ------------------------------------------------------------------- | --------------------------------------------------------------------------- |
| Midfielder (fb:m.02nzb8) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%27%39%28_%48%33%37_(%43%31%29_%42%2F%45)> |
| Midfielder (fb:m.02nzb8) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258z_bzd                                                              |
| Midfielder (fb:m.02nzb8) | Notable types (fb:common.topic.notable_types)                       | Football Position (fb:m.02h7rpk)                                            |
| Midfielder (fb:m.02nzb8) | Description (fb:common.topic.description)                           | A középpályás a mai labdarúgócsa...öbb energiát követelő szerepkör. (hu)    |
| Midfielder (fb:m.02nzb8) | Article (fb:common.topic.article)                                   | fb:m.02nzbj                                                                 |
| Midfielder (fb:m.02nzb8) | Also known as (fb:common.topic.alias)                               | Mediocampista (es)                                                          |
| Midfielder (fb:m.02nzb8) | Image (fb:common.topic.image)                                       | 396px-Boisko PositionsMidfield (fb:m.029z2yh)                               |
| Midfielder (fb:m.02nzb8) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.09y4zj1                                                                |
| Midfielder (fb:m.02nzb8) | Players (fb:sports.sports_position.players)                         | fb:g.11b5x99jzr                                                             |
| Midfielder (fb:m.02nzb8) | Players (fb:soccer.football_position.players)                       | Cristiano Ronaldo (fb:m.02xt6q)                                             |
| ...                      | ...                                                                 | ...                                                                         |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                                            | object                                                                   |
| --------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Football (fb:m.02vx4) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%39%28%29_%43%31%29_%27%44%42%2F%45>    |
| Football (fb:m.02vx4) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257w3xkz                                                           |
| Football (fb:m.02vx4) | Notable types (fb:common.topic.notable_types)                       | Interest (fb:m.05cglj1)                                                  |
| Football (fb:m.02vx4) | Description (fb:common.topic.description)                           | A labdarúgás labdajáték, amelyet...tokat, focistákat, mérkőzéseket. (hu) |
| Football (fb:m.02vx4) | Article (fb:common.topic.article)                                   | fb:m.02r3bj3                                                             |
| Football (fb:m.02vx4) | Also known as (fb:common.topic.alias)                               | Association Football (en)                                                |
| Football (fb:m.02vx4) | Image (fb:common.topic.image)                                       | Football match.jpg (fb:m.02914k3)                                        |
| Football (fb:m.02vx4) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.09x5h8v                                                             |
| Football (fb:m.02vx4) | Titles (fb:media_common.netflix_genre.titles)                       | Jerry Maguire (fb:m.011ykb)                                              |
| Football (fb:m.02vx4) | Works Written About This Topic (fb:book.book_subject.works)         | Paper Lion: Confessions of a Last-String Quarterback (fb:m.04w9t1k)      |
| ...                   | ...                                                                 | ...                                                                      |

[Assistant]
Based on the query results and further inspection:

- David Beckham played the sport "Football" (also known as "Association Football" or "Soccer").
- His position was "Midfielder" (with many language variants for the label).

Here is the final SPARQL query and the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves the correct information about David Beckham's sport and position, but it returns a large number of rows with labels in many different languages, which is unnecessary unless specifically requested. The query should be refined to either return only the IRIs (as per the rules) or to restrict the labels to English (e.g., using FILTER(lang(?sportLabel) = 'en') and FILTER(lang(?positionLabel) = 'en')). Additionally, the answer summary should clarify that the result is based on the IRIs and optionally English labels, not a mix of multilingual labels. The current answer is correct in content, but the query and presentation can be improved for clarity and relevance.

[Assistant]
Thank you for the feedback. I will refine the SPARQL query to:

- Return only the IRIs for the sport and position, as required by the rules.
- Optionally, include English labels for human readability, restricting them with FILTER(lang(?sportLabel) = 'en') and FILTER(lang(?positionLabel) = 'en').
- Clarify in the answer that the result is based on the IRIs and optionally English labels.

Here’s my step-by-step plan:
1. Query for David Beckham’s sport and position IRIs.
2. Optionally retrieve English labels for these IRIs.
3. Ensure the query does not return multilingual labels.
4. Present a clear answer based on the IRIs and (optionally) English labels.

Now, I will write and execute the refined SPARQL query.

[Tool]
Got 1 row and 4 columns:
| sport        | sportLabel    | position                 | positionLabel   |
| ------------ | ------------- | ------------------------ | --------------- |
| fb:m.0d5fbb8 | Football (en) | Midfielder (fb:m.02nzb8) | Midfielder (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is mostly correct and provides relevant information about what David Beckham played, including both the sport (football/soccer) and his position (midfielder). However, the SPARQL query can be refined for clarity and correctness:

1. The query currently retrieves the IRIs and labels for both the sport and the position, but the way it joins the information is not optimal. It uses two separate OPTIONAL clauses, which may not always align the correct sport with the correct position if there are multiple entries.
2. The query should ensure that the labels are always retrieved for the IRIs, but currently, the sport label is only retrieved if the OPTIONAL path through 'fb:sports.pro_sports_played.sport' exists. It would be better to directly retrieve the label for the sport IRI (?sport rdfs:label ?sportLabel) and for the position IRI (?position rdfs:label ?positionLabel), each with FILTER(lang(?label) = 'en').
3. The property 'fb:soccer.football_player.position_s' is specific to soccer, which is correct for Beckham, but if he played other sports or positions, the query might miss them. Consider if a more general approach is needed.

Suggestion: Refine the query to directly retrieve the labels for the sport and position IRIs, and ensure the joins are correct. The answer is otherwise accurate and complete for the question asked.

[Assistant]
Thank you for the detailed feedback. To address the points:

1. I will retrieve the English labels directly for the sport and position IRIs using ?sport rdfs:label ?sportLabel and ?position rdfs:label ?positionLabel, each with FILTER(lang(?label) = 'en').
2. I will keep the joins clear and direct, ensuring that the sport and position are independently retrieved for David Beckham.
3. Since David Beckham is only known for football/soccer, using the soccer-specific position property is appropriate for this context, but the query will still be robust for multiple sports/positions.

Here is the refined SPARQL query and the corresponding answer.

[Tool]
Got 1 row and 4 columns:
| sport        | sportLabel | position                 | positionLabel   |
| ------------ | ---------- | ------------------------ | --------------- |
| fb:m.0d5fbb8 |            | Midfielder (fb:m.02nzb8) | Midfielder (en) |

[Tool]
Got 1 row and 2 columns:
| sport        | sportLabel |
| ------------ | ---------- |
| fb:m.0d5fbb8 |            |

[Tool]
Got 1 row and 3 columns:
| sport        | sportType             | sportTypeLabel |
| ------------ | --------------------- | -------------- |
| fb:m.0d5fbb8 | Football (fb:m.02vx4) | Football (en)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?official_name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?official_name .
  FILTER ( lang( ?official_name ) = 'en' )
}

Got 1 row and 1 column:
| official_name                   |
| ------------------------------- |
| Marshall Bruce Mathers III (en) |

Eminem's real full name is Marshall Bruce Mathers III, as given by the 'official name' property in 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 is eminem's real full name?

[Assistant]
To answer this question, I need to:

1. Identify the entity for "Eminem" in Freebase.
2. Find the property that represents "real full name" or "birth name".
3. Write a SPARQL query to retrieve Eminem's real full name.

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

[Tool]
Top 10 entity alternatives:
1. Eminem, also known as Marshall Matters, M. Masters, Mathers, M.B.Mathers III, M&M (fb:m.01vsgrn): Marshall Bruce Mathers III, better known by his stage name Emine...re worldwide successes, with each certified diamond in US sales., has type Musical Artist
2. Michael Clarke, also known as Clarkey, Top Dog, Pup, Nemo, Michael John Clarke (fb:m.03mrdf): Michael John Clarke is an Australian Test cricketer and current ...ralia to a 5–0 whitewash of England in the 2013–14 Ashes series., has type Cricket Bowler
3. Eminem (fb:m.0q5kjn8): has type Musical Recording
4. Cleaning Out My Closet. Eminem - The Stories Behind Every Song, also known as Eminem (fb:m.06s53_m): has type Book
5. Eminem, Mike Tyson, also known as Eminem (fb:m.06ybd53): has type TV Episode
6. Eminem (fb:m.05dmrft): has type TV Episode
7. Eminem (fb:m.0fs8ldn): has type Musical Recording
8. Eminem (fb:m.07k3g3x): has type TV Episode
9. Eminem Eminem (fb:m.019y87t): has type Musical Recording
10. Eminem (fb:m.0q8b3xx): has type Musical Recording

[Assistant]
The top result for "Eminem" as a person/musical artist is fb:m.01vsgrn, which also lists his real name as Marshall Bruce Mathers III in the description. To be thorough, I will now search for the property in Freebase that represents "real full name" or "birth name" to ensure I retrieve the correct value via SPARQL.

I'll search for properties related to "birth name".

[Tool]
Top 10 property alternatives:
1. Given Name (fb:user.jamespotter.default_domain.names.given_name): part of Names schema, links to type Text
2. Given name(s) (fb:base.litcentral.person_full_name.given_name_s): part of person full name schema, links to type Given Name
3. My Full Name (fb:freebase.user_profile.my_full_name): part of User Profile schema, links to type Text
4. fullname (fb:user.petrochenko_pavel_a.default_domain.software_developer.fullname): part of Software Developer schema, links to type Text
5. Full Name (fb:user.dvyjones.default_domain.mayor.full_name): links to type Full Name, part of Mayor schema
6. Full Name (fb:base.iraqimusicbase.iraqi_person.full_name): part of iraqi person schema, links to type Text
7. full name (fb:base.iraqimusicbase.band_member.full_name): part of band member schema, links to type Text
8. First Name (fb:user.olivergbayley.my_detective_fiction.character.first_name): links to type First Names, part of Character schema
9. First Name (fb:base.musiteca.music_teacher.first_name): links to type Machine readable string, part of Composer schema
10. First Name (fb:user.euf.default_domain.test.first_name): part of Test schema, links to type Text

[Assistant]
The search for "birth name" did not return a clear, general property for "birth name" or "real full name" for a person. The closest general property is "Given Name" (fb:user.jamespotter.default_domain.names.given_name), but that may not return the full name.

Since Eminem is a musical artist, Freebase often uses the property "Person Full Name" or similar for such entities. To be sure, I will now search for properties of the Eminem entity related to "name" to see which property stores his full or birth name.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
3. Username (fb:base.myspace.myspace_user.username): part of Myspace user schema, links to type Text
4. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
5. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
The most relevant general property for a person's full or real name appears to be "Name" (fb:type.object.name). There is also "Official name" and "Also known as", but "Name" is the most likely to contain the full real name.

To confirm, I will check what values are stored for Eminem (fb:m.01vsgrn) with the property fb:type.object.name.

[Tool]
Got 42 rows and 3 columns, showing the first 10 rows below:
| subject               | property                   | object          |
| --------------------- | -------------------------- | --------------- |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (ca)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (cs)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (da)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (de)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (el)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (en)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (es)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (es-419) |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (et)     |
| Eminem (fb:m.01vsgrn) | Name (fb:type.object.name) | Eminem (fi)     |
| ...                   | ...                        | ...             |

[Assistant]
The property fb:type.object.name for Eminem contains only his stage name in various languages, not his real full name.

Since the description for the entity mentions "Marshall Bruce Mathers III", I will now check which property contains this value. I will look for properties related to "full name" or "birth name" for Eminem.

I'll search for properties of Eminem related to "birth".

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Parents (fb:people.person.parents): part of Person schema, links to type Person
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
There is no property specifically for "birth name" or "full name" in the search results for Eminem. Since the description field contains "Marshall Bruce Mathers III", I will check the "Description" property (fb:common.topic.description) for Eminem to see if it contains his real full name.

I'll list the value of the "Description" property for Eminem.

[Tool]
Got 41 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                  | object                                                                   |
| --------------------- | ----------------------------------------- | ------------------------------------------------------------------------ |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem, ameriški raper, * 17. ok...1972, St. Joseph, Missouri, ZDA. (sl) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem, artiestennaam van Marsha...aans rapper, producer en acteur. (nl) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem, auch bekannt als Slim Sh...tionen D12 sowie Bad Meets Evil. (de) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem, được biết đến nhiều hơn ... trong danh sách ‘The Immortals. (vi) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem, nome artístico de Marsha...ibilizado em 15 de maio de 2009. (pt) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminem on USA räppar, muusikapro...lja. Ta on edukaim valge räppar. (et) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Eminemは、アメリカ合衆国のヒップホップMC、プロデューサー、俳優。身長173cm。 (ja)                        |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Maršal Brus Meters III, široj ja...m Američkim Državama po prodaji. (sr) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Maršals Brūss Maters III, plašāk... Eminemu kā labāko dzīvo reperi. (lv) |
| Eminem (fb:m.01vsgrn) | Description (fb:common.topic.description) | Marshall Bruce Mathers III, atau...aman, penulis lirik dan pelakon. (ms) |
| ...                   | ...                                       | ...                                                                      |

[Assistant]
The "Description" property contains Eminem's real full name in various languages, such as "Marshall Bruce Mathers III" (en), "Marsha..." (nl), "Maršal Brus Meters III" (sr), etc. However, this is not a structured property and varies by language.

Since Freebase does not appear to have a dedicated "birth name" or "full name" property for Eminem, but the English description contains "Marshall Bruce Mathers III", I will write a SPARQL query to extract the English description for Eminem, which will contain his real full name.

I will filter the description to English using the language tag.

[Tool]
Got 1 row and 1 column:
| desc                                                                     |
| ------------------------------------------------------------------------ |
| Marshall Bruce Mathers III, bett...h certified diamond in US sales. (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query retrieves the English description of Eminem from Freebase, which contains his full name along with additional biographical information. However, the question specifically asks for Eminem's real full name, not his description or biography. The query should be refined to directly retrieve the property that represents Eminem's real full name (if available), rather than extracting it from a description string. If such a property does not exist, the current approach is acceptable, but ideally, the answer should come from a more precise property.

[Assistant]
Thank you for the feedback. I agree that the ideal answer should come from a structured property representing Eminem's real full name, not from a description string.

Let me try a more exhaustive approach:
- I'll search for properties related to "full name", "birth name", "real name", and "legal name" for Eminem.
- If I find a more precise property, I'll use it. If not, I'll confirm that the description is the only available source.

First, I'll search for properties of Eminem related to "real name".

[Tool]
Top 10 property alternatives:
1. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
6. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
7. Username (fb:base.myspace.myspace_user.username): part of Myspace user schema, links to type Text
8. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
9. Musical Artist Home Page (fb:music.artist.home_page): part of Musical Artist schema, links to type Webpage
10. Impersonated by (fb:base.americancomedy.impersonated_celebrity.impersonated_by): links to type Celebrity impressionist, part of Impersonated celebrity schema

No other items found

[Assistant]
The search for "real name" did not return a dedicated property for "real name" or "birth name". The closest are "Name" and "Official name", but as previously checked, "Name" only contains the stage name.

Next, I'll check for "legal name" properties for Eminem.

[Tool]
Top 10 property alternatives:
1. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
2. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Impersonated by (fb:base.americancomedy.impersonated_celebrity.impersonated_by): links to type Celebrity impressionist, part of Impersonated celebrity schema
8. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
9. Username (fb:base.myspace.myspace_user.username): part of Myspace user schema, links to type Text
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Tool]
Got 2 rows and 3 columns:
| subject               | property                                                         | object                          |
| --------------------- | ---------------------------------------------------------------- | ------------------------------- |
| Eminem (fb:m.01vsgrn) | Official name (fb:base.schemastaging.context_name.official_name) | Marshall Bruce Mathers III (en) |
| Eminem (fb:m.01vsgrn) | Official name (fb:base.schemastaging.context_name.official_name) | Marshall Bruce Mathers III (lt) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query retrieves Eminem's official name from Freebase, returning the expected result: 'Marshall Bruce Mathers III'. The query follows all guidelines, including returning the identifier and using the correct property. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?language_label ?type WHERE {
  {
    fb:m.0jgd fb:location.country.languages_spoken ?language .
    OPTIONAL {
      ?language rdfs:label ?language_label .
      FILTER ( lang( ?language_label ) = 'en' )
    }
    BIND( "spoken" AS ?type )
  } UNION {
    fb:m.0jgd fb:location.country.official_language ?language .
    OPTIONAL {
      ?language rdfs:label ?language_label .
      FILTER ( lang( ?language_label ) = 'en' )
    }
    BIND( "official" AS ?type )
  }
}

Got 6 rows and 3 columns:
| language                         | language_label          | type     |
| -------------------------------- | ----------------------- | -------- |
| Italian Language (fb:m.02bjrlw)  | Italian Language (en)   | spoken   |
| Guaraní language (fb:m.02w_hsv)  | Guaraní language (en)   | spoken   |
| Quechuan languages (fb:m.03d9kg) | Quechuan languages (en) | spoken   |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   | official |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   | spoken   |
| Yiddish Language (fb:m.0880p)    | Yiddish Language (en)   | spoken   |

The official language spoken in Argentina is Spanish. Other spoken languages include Italian, Guaraní, Quechuan languages, and Yiddish.

[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 language do speak in argentina?

[Assistant]
Let's break down the question:

1. The user is asking about the language spoken in Argentina.
2. I need to identify the entity for "Argentina" and the property that relates a country to its spoken language(s).

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

[Tool]
Top 10 entity alternatives:
1. Argentina, also known as Agrentina , Argentine Republic, The Argentine (fb:m.0jgd): Argentina, officially the Argentine Republic, is a federal repub...a federation of provinces with Buenos Aires as its capital city., has type Country
2. Government of Argentina, also known as Argentina (fb:m.0hq82): The government of Argentina, functioning within the framework of...iary is independent from the Executive and from the Legislature., has type Author
3. Argentina (fb:m.0j7kl99): Argentina is a genus of herring smelts., has type Organism Classification
4. Argentina (fb:m.0b6mhsj): The Argentina is an Italian river in the province of Imperia., has type River
5. Argentina (fb:m.0760t3): Argentina is a genus of plants in the rose family which is accep...ecies, but classified in Potentilla sect. Leptostylae by others., has type Organism Classification
6. Argentina (fb:m.017j0f4): has type Musical Recording
7. argentina (fb:m.0xd0y2b): has type Musical Recording
8. Argentina (fb:m.0c6zptt): has type Book Edition
9. Argentina (fb:m.0fvh31b): has type Musical Recording
10. Argentina (fb:m.0x3p0w1): has type Consumer product

[Assistant]
The most relevant entity for the country Argentina is fb:m.0jgd.

Next, I need to find the property that links a country to its spoken language(s). I'll search for properties related to "language" for the entity fb:m.0jgd.

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
6. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
7. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
8. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
9. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
10. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

No other items found

[Assistant]
The two most relevant properties are:
- fb:location.country.languages_spoken (Languages spoken)
- fb:location.country.official_language (Official Language)

To answer the user's question about what language is spoken in Argentina, I should use both to provide a complete answer. I'll write a SPARQL query that retrieves both the official language(s) and other spoken languages for Argentina.

I'll also try to get the labels for the languages.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 197 for token UNION with content 'UNION' (the input most likely does not follow the grammar)

[Assistant]
It looks like my query failed due to incorrect usage of UNION with BIND. I need to restructure the query so that each branch of the UNION is a complete pattern, including the BIND.

I'll rewrite the query so that each part of the UNION includes all relevant triples and the BIND statement.

[Tool]
Got 223 rows and 3 columns, showing the first 5 and last 5 rows below:
| language                        | language_label           | type   |
| ------------------------------- | ------------------------ | ------ |
| Italian Language (fb:m.02bjrlw) | Bahasa Itali (ms)        | spoken |
| Italian Language (fb:m.02bjrlw) | Bahasa Italia (id)       | spoken |
| Italian Language (fb:m.02bjrlw) | Idioma italiano (es)     | spoken |
| Italian Language (fb:m.02bjrlw) | Idioma Italiano (es-419) | spoken |
| Italian Language (fb:m.02bjrlw) | Itaalia keel (et)        | spoken |
| ...                             | ...                      | ...    |
| Yiddish Language (fb:m.0880p)   | ภาษายิดดิช (th)          | spoken |
| Yiddish Language (fb:m.0880p)   | 이디시어 (ko)                | spoken |
| Yiddish Language (fb:m.0880p)   | イディッシュ語 (ja)             | spoken |
| Yiddish Language (fb:m.0880p)   | 意第緒語 (zh-Hant)           | spoken |
| Yiddish Language (fb:m.0880p)   | 意第绪语 (zh)                | spoken |

[Tool]
Got 6 rows and 3 columns:
| language                         | language_label          | type     |
| -------------------------------- | ----------------------- | -------- |
| Italian Language (fb:m.02bjrlw)  | Italian Language (en)   | spoken   |
| Guaraní language (fb:m.02w_hsv)  | Guaraní language (en)   | spoken   |
| Quechuan languages (fb:m.03d9kg) | Quechuan languages (en) | spoken   |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   | official |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   | spoken   |
| Yiddish Language (fb:m.0880p)    | Yiddish Language (en)   | spoken   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves both the official and spoken languages in Argentina by using UNION to combine results from both the 'official_language' and 'languages_spoken' properties. It returns the IRIs of the languages, and labels are included only as optional, which is appropriate. The answer provided matches the query results and is accurate. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?zip ?zipLabel WHERE {
  fb:m.0qskp fb:location.citytown.postal_codes ?zip OPTIONAL {
    ?zip rdfs:label ?zipLabel
  }
}

The zip codes for Jonesboro, AR are 72401, 72402, 72403, and 72404.

[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 is the zip code for jonesboro ar?

[Assistant]
To answer this question, I need to:

1. Identify the entity for "Jonesboro, AR" (Jonesboro, Arkansas) in Freebase.
2. Find the property related to "zip code" or "postal code" for that entity.
3. Construct a SPARQL query to retrieve the zip code(s).

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

[Tool]
Top 10 entity alternatives:
1. Jonesboro, also known as Craighead County / Jonesboro city, Jonesboro, Arkansas (fb:m.0qskp): Jonesboro is a city in Craighead County, Arkansas, United States... for manufacturing, agriculture, medicine, education, and trade., has type City/Town/Village
2. Jonesboro Junction, also known as Jonesboro Junction, Arkansas (fb:m.0487yb5): has type City/Town/Village
3. Arkansas State University, also known as Arkansas State University, main campus, ASU, Arkansas State University, Jonesboro (fb:m.01qv9m): Arkansas State University is a public university and is the flag...nited States. The university marked its centennial year in 2009., has type College/University
4. Arkansas State University System, also known as Arkansas State University System, Jonesboro (fb:m.02qz4x8): The Arkansas State University System is a collection of ten camp... This move is expected to allow the System more room for growth., has type University system
5. Arkansas State University System Office, also known as Arkansas State University System Office, Jonesboro, Arkansas State University System Office, main campus (fb:m.0clw84r): has type College/University
6. Arkansas, also known as Natural State, AR, Ark (fb:m.0vbk): Arkansas is a state located in the Southern region of the United... The largest city in the eastern part of the state is Jonesboro., has type US State
7. Jonesboro, also known as Clayton County / Jonesboro city, Jonesboro, Georgia (fb:m.0rv4c): Jonesboro is a city in Clayton County, Georgia, United States. T...ar until the Confederacy finally surrendered the following year., has type City/Town/Village
8. Jonesboro, also known as Jonesboro, Illinois, Union County / Jonesboro city (fb:m.0shh4): Jonesboro is a city in Union County, Illinois, United States. Th...cline from 1,853 in 2000. It is the county seat of Union County., has type City/Town/Village
9. Jonesboro, also known as Jackson Parish / Jonesboro town, Jonesboro, Louisiana (fb:m.0tkvp): Jonesboro is a town in and the parish seat of Jackson Parish in ... census. It is part of the Ruston Micropolitan Statistical Area., has type City/Town/Village
10. Jonesboro, also known as Grant County / Jonesboro city, Jonesboro, Indiana (fb:m.0slpy): Jonesboro is a city in Grant County, Indiana, United States, loc... opposite Gas City. The population was 1,756 at the 2010 census., has type City/Town/Village

[Assistant]
The top result for "Jonesboro, Arkansas" is fb:m.0qskp, which is the correct entity for the city in Arkansas.

Next, I need to find the property related to "zip code" or "postal code" for this entity. I will search for properties related to "zip code" in Freebase.

[Tool]
Top 10 property alternatives:
1. ZIP Code (fb:user.thays.default_domain.address.zip_code): part of Address schema, links to type Text
2. Zip Code (fb:user.thadguidry.default_domain.census_tract_crosswalk.zip_code): part of Census Tract Crosswalk schema, links to type Postal Code
3. Postal code (fb:location.australian_suburb.postal_code): part of Australian Suburb schema, links to type Postal Code
4. Postal Code (fb:location.postal_code.postal_code): links to type Machine readable string, part of Postal Code schema
5. Postal Code (fb:location.mailing_address.postal_code): links to type Postal Code, part of Address schema
6. Postal Codes (fb:base.vancouver.forward_sortation_area.postal_codes): part of Forward Sortation Area schema, links to type Postal Code
7. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
8. Area code (fb:user.robert.area_codes.overlay.area_code): links to type Area code, part of Overlay schema
9. Area code (fb:user.jeff.default_domain.area_code_overlay.area_code): part of Area code overlay schema, links to type Area code
10. Area code (fb:user.robert.area_codes.coverage.area_code): links to type Area code, part of Coverage schema

[Assistant]
The most relevant property for a city/town's zip code appears to be "Postal codes" (fb:location.citytown.postal_codes), which is part of the City/Town/Village schema.

Now, I will construct a SPARQL query to get the postal codes for Jonesboro, Arkansas (fb:m.0qskp) using this property.

[Tool]
Got 4 rows and 1 column:
| zip                  |
| -------------------- |
| 72401 (fb:m.01z4426) |
| 72404 (fb:m.01z4433) |
| 72403 (fb:m.01z45mm) |
| 72402 (fb:m.07nqgrr) |

[Tool]
Got 4 rows and 2 columns:
| zip                  | zipLabel   |
| -------------------- | ---------- |
| 72401 (fb:m.01z4426) | 72401 (en) |
| 72404 (fb:m.01z4433) | 72404 (en) |
| 72403 (fb:m.01z45mm) | 72403 (en) |
| 72402 (fb:m.07nqgrr) | 72402 (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all postal codes (zip codes) associated with Jonesboro, AR from the Freebase knowledge graph. The query returns the IRIs of the zip codes as required, and the answer accurately lists all relevant zip codes. No further refinement is needed.