PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?animal ?animalLabel WHERE {
  fb:m.01n7q fb:government.governmental_jurisdiction.official_symbols ?symbolRel .
  ?symbolRel fb:location.location_symbol_relationship.Kind_of_symbol fb:m.0462793 .
  ?symbolRel fb:location.location_symbol_relationship.symbol ?animal .
  OPTIONAL {
    ?animal rdfs:label ?animalLabel
  }
}

Got 9 rows and 2 columns:
| animal                                 | animalLabel                        |
| -------------------------------------- | ---------------------------------- |
| California grizzly bear (fb:m.046279b) | California grizzly bear (en)       |
| California grizzly bear (fb:m.046279b) | Californische grizzlybeer (nl)     |
| California grizzly bear (fb:m.046279b) | Grizzly de Californie (fr)         |
| California grizzly bear (fb:m.046279b) | Ursus arctos californicus (ca)     |
| California grizzly bear (fb:m.046279b) | Ursus arctos californicus (es)     |
| California grizzly bear (fb:m.046279b) | Ursus arctos californicus (it)     |
| California grizzly bear (fb:m.046279b) | Калифорнийский медведь гризли (ru) |
| California grizzly bear (fb:m.046279b) | خرس گریزلی کالیفرنیا (fa)          |
| California grizzly bear (fb:m.046279b) | カリフォルニアハイイログマ (ja)                 |

The animal that represents California as its state animal is the California grizzly bear (fb:m.046279b).

[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 animal represents california?

[Assistant]
Let's break down the question:

1. The user is asking for the animal that represents California. This likely refers to the "state animal" or "symbolic animal" of California.
2. I need to identify the entity for "California" and find a property related to "state animal" or "symbolic animal".

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

[Tool]
Top 10 entity alternatives:
1. California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State
2. California, also known as California, Kentucky, Campbell County / California city (fb:m.0td30): California is a 6th-class city in Campbell County, Kentucky, United States. The population was 90 at the 2010 census., has type City/Town/Village
3. California, also known as California, Missouri, Moniteau County / California city (fb:m.0wxz5): California is a city in Moniteau County, Missouri, United States...y in the Jefferson City, Missouri Metropolitan Statistical Area., has type City/Town/Village
4. California, also known as California, Pennsylvania, Washington County / California borough (fb:m.0_frm): California is a borough on the Monongahela River in Washington C...tion, and Republican Casey Durdines, who was 20 at his election., has type City/Town/Village
5. California, also known as California, California (Jack Joseph Puig mix), California (Tchad Blake mix) (fb:m.0m9_g7): has type Musical Recording
6. California, also known as California, Maryland, St. Mary's County / California CDP (fb:m.0tx8x): California is a census-designated place and community in St. Mar...ridge-bound traffic is infamous for backing up during rush hour., has type US Census Designated Place
7. California, also known as California, Santander (fb:m.02qcvdy): California is a town and municipality in the Santander Department in northeastern Colombia., has type City/Town/Village
8. California (fb:m.05k1_p): California is the third and final studio album by American exper.... Bungle. It was released on June 13, 1999, through Warner Bros., has type Musical Album
9. California (fb:m.0n53fn_): California is a 1977 Italian spaghetti western film directed by ...cs and obtained a good commercial success at Italian box office., has type Film
10. California (fb:m.0cndcvb): California is a 1947 American western film directed by John Farr... Barbara Stanwyck's singing voice was dubbed by Kay St.Germaine., California is a film directed by John Farrow released on Feb 21, 1947., has type Film

[Assistant]
The most relevant entity for the state of California is "fb:m.01n7q".

Next, I need to find a property related to "state animal", "symbol", or "representative animal" for a US state. I'll search for properties related to "animal" for the entity California.

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
3. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
4. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
5. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
9. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
10. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry

No other items found

[Assistant]
The search for properties related to "animal" for California did not return a direct property like "state animal" or "symbolic animal". However, sometimes these symbolic representations are stored under properties like "symbol", "emblem", or similar.

I'll now search for properties related to "symbol" for the entity California to see if there is a property that links to the state animal.

[Tool]
Top 10 property alternatives:
1. Official symbols (fb:government.governmental_jurisdiction.official_symbols): links to type Location/symbol relationship, part of Governmental Jurisdiction schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Abbreviation (fb:base.schemastaging.context_name.abbreviation): part of Context name schema, links to type Text
5. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Capital (fb:base.aareas.schema.administrative_area.capital): part of Administrative Area schema, links to type City/Town/Village
10. Capital (fb:location.us_state.capital): links to type City/Town/Village, part of US State schema

No other items found

[Assistant]
The property "Official symbols" (fb:government.governmental_jurisdiction.official_symbols) looks promising, as it may include the state animal among other symbols.

Next, I'll list some triples where California (fb:m.01n7q) is the subject and "official symbols" is the property, to see what kinds of objects are linked and if any of them represent the state animal.

[Tool]
Got 25 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                                    | object       |
| ----------------------- | --------------------------------------------------------------------------- | ------------ |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.0462792 |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.046279k |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.046279y |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627b8 |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627bn |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627c0 |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627cd |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627cs |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627d4 |
| California (fb:m.01n7q) | Official symbols (fb:government.governmental_jurisdiction.official_symbols) | fb:m.04627dj |
| ...                     | ...                                                                         | ...          |

[Assistant]
There are several objects linked as "official symbols" of California. To identify which one (if any) is the state animal, I need to check the types or labels of these objects.

I'll start by listing triples for one of these objects (e.g., fb:m.0462792) to see what information is available, such as its type or label.

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                                                     | object                                                                  |
| ------------ | ---------------------------------------------------------------------------- | ----------------------------------------------------------------------- |
| fb:m.0462792 | Type (fb:type.object.type)                                                   | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.0462792 | Symbol (fb:location.location_symbol_relationship.symbol)                     | California grizzly bear (fb:m.046279b)                                  |
| fb:m.0462792 | Symbol of (fb:location.location_symbol_relationship.administrative_division) | California (fb:m.01n7q)                                                 |
| fb:m.0462792 | Kind of symbol (fb:location.location_symbol_relationship.Kind_of_symbol)     | State animal (fb:m.0462793)                                             |
| fb:m.0462792 | Date adopted (fb:location.location_symbol_relationship.date_adopted)         | 1953 (xsd:gYear)                                                        |
| fb:m.0462792 | rdf:type                                                                     | Location/symbol relationship (fb:location.location_symbol_relationship) |

[Tool]
Got 193 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                                                         | object                                                                   |
| -------------------------------------- | -------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| California grizzly bear (fb:m.046279b) | Type (fb:type.object.type)                                                       | Topic (fb:common.topic)                                                  |
| California grizzly bear (fb:m.046279b) | Key (fb:type.object.key)                                                         | /biology/itis/726987                                                     |
| California grizzly bear (fb:m.046279b) | Name (fb:type.object.name)                                                       | California grizzly bear (en)                                             |
| California grizzly bear (fb:m.046279b) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)              | <http://en.wikipedia.org/wiki/California_grizzly_bear>                   |
| California grizzly bear (fb:m.046279b) | Notable for (fb:common.topic.notable_for)                                        | fb:g.1256x4ry3                                                           |
| California grizzly bear (fb:m.046279b) | Notable types (fb:common.topic.notable_types)                                    | Official symbol (fb:m.04624gc)                                           |
| California grizzly bear (fb:m.046279b) | Description (fb:common.topic.description)                                        | De Californische grizzlybeer is ...l Amerikaanse zwarte beren voor. (nl) |
| California grizzly bear (fb:m.046279b) | Article (fb:common.topic.article)                                                | fb:m.0h630x_                                                             |
| California grizzly bear (fb:m.046279b) | Also known as (fb:common.topic.alias)                                            | Калифорнийский бурый медведь (ru)                                        |
| California grizzly bear (fb:m.046279b) | Higher classification (fb:biology.organism_classification.higher_classification) | Brown bear (fb:m.01dxs)                                                  |
| ...                                    | ...                                                                              | ...                                                                      |

[Tool]
Got 17 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                                       | object                                                       |
| --------------------------- | ------------------------------------------------------------------------------ | ------------------------------------------------------------ |
| State animal (fb:m.0462793) | Type (fb:type.object.type)                                                     | Topic (fb:common.topic)                                      |
| State animal (fb:m.0462793) | Key (fb:type.object.key)                                                       | /en/state_animal                                             |
| State animal (fb:m.0462793) | Name (fb:type.object.name)                                                     | State animal (en)                                            |
| State animal (fb:m.0462793) | Notable for (fb:common.topic.notable_for)                                      | fb:g.1255bdzbt                                               |
| State animal (fb:m.0462793) | Notable types (fb:common.topic.notable_types)                                  | Official symbol variety (fb:m.04624gk)                       |
| State animal (fb:m.0462793) | Symbols of this kind (fb:location.offical_symbol_variety.symbols_of_this_kind) | fb:m.0462792                                                 |
| State animal (fb:m.0462793) | rdf:type                                                                       | Topic (fb:common.topic)                                      |
| State animal (fb:m.0462793) | fb:kg.object_profile.prominent_type                                            | Official symbol variety (fb:location.offical_symbol_variety) |
| State animal (fb:m.0462793) | fbkey:en                                                                       | state_animal                                                 |
| State animal (fb:m.0462793) | rdfs:label                                                                     | State animal (en)                                            |
| ...                         | ...                                                                            | ...                                                          |

[Assistant]
From the data, we can see:

- The object fb:m.0462792 is a "Location/symbol relationship" linking California to the "California grizzly bear" (fb:m.046279b).
- The kind of symbol is "State animal" (fb:m.0462793).

Therefore, the animal that represents California as its state animal is the California grizzly bear.

Now, I will construct a SPARQL query that returns the IRI of the animal representing California as its state animal, along with its label if available.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?stadium ?stadium_label WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadium_label
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| stadium                   | stadium_label    |
| ------------------------- | ---------------- |
| Miller Park (fb:m.038br5) | Miller Park (da) |
| Miller Park (fb:m.038br5) | Miller Park (de) |
| Miller Park (fb:m.038br5) | Miller Park (en) |
| Miller Park (fb:m.038br5) | Miller Park (fr) |
| Miller Park (fb:m.038br5) | Miller Park (it) |
| ...                       | ...              |
| Miller Park (fb:m.038br5) | Miller Park (pl) |
| Miller Park (fb:m.038br5) | Miller Park (pt) |
| Miller Park (fb:m.038br5) | मिलर पार्क (hi)  |
| Miller Park (fb:m.038br5) | 밀러 파크 (ko)       |
| Miller Park (fb:m.038br5) | ミラー・パーク (ja)     |

The Milwaukee Brewers' stadium is called Miller Park (entity: fb:m.038br5).

[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 milwaukee brewers stadium called?

[Assistant]
Let's break down the question:

1. The user wants to know the name of the stadium used by the Milwaukee Brewers.
2. First, I need to identify the entity for "Milwaukee Brewers" in Freebase.
3. Then, I need to find the property that links a sports team to its stadium or home venue.
4. Finally, I need to retrieve the name (label) of the stadium.

Let's start by searching for the "Milwaukee Brewers" entity in Freebase.

[Tool]
Top 10 entity alternatives:
1. Milwaukee Brewers (fb:m.051vz): The Milwaukee Brewers are an American professional baseball team...against the St. Louis Cardinals in the World Series, losing 4-3., has type Professional Sports Team
2. Milwaukee Brewers (fb:m.0ds5z4): The 1891 Milwaukee Brewers were an American professional basebal...n League, but lasted just one more season before folding itself., has type Professional Sports Team
3. Milwaukee Brewers (fb:m.08trnq): The Milwaukee Brewers were a Minor League Baseball team based in... They played in the American Association from 1902 through 1952., has type Professional Sports Team
4. Milwaukee Brewers (fb:m.027nh8r): The Milwaukee Brewers served as a replacement team late in the 1...September 28 and an 18-strikeout game by Henry Porter on Oct. 3., has type Sports Team
5. Milwaukee Brewers (fb:m.05n6l3_): has type Professional Sports Team
6. Milwaukee Brewers (fb:m.05ljkjd): has type Defunct Sports Team
7. Milwaukee Brewers (fb:m.0jbcp8p)
8. Brewers Hill, also known as Brewers Hill, Milwaukee (fb:m.05h8ktp): Brewers Hill is a neighborhood in the Southeast District of Balt... was listed on the National Register of Historic Places in 2014., has type Neighborhood
9. Milwaukee Brewers (Baseball (fb:m.06vllqc): has type Book
10. Milwaukee Brewers Baseball Club (fb:m.04hdwpq): has type Organization

[Assistant]
The most relevant entity for the current Milwaukee Brewers Major League Baseball team is "Milwaukee Brewers" (fb:m.051vz).

Next, I need to find the property that links a professional sports team to its stadium or home venue. I'll search for properties related to "stadium" or "venue" for this entity.

[Tool]
Top 10 property alternatives:
1. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
2. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, 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. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
5. League (fb:baseball.baseball_team.league): links to type Baseball League, part of Baseball Team schema
6. Team Stats (fb:baseball.baseball_team.team_stats): links to type Baseball Team Stats, part of Baseball Team schema
7. Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot
8. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
9. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
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 is "Arena/Stadium" (fb:sports.sports_team.arena_stadium), which links a sports team to its stadium.

Now, I will construct a SPARQL query to get the stadium entity for the Milwaukee Brewers (fb:m.051vz) using this property, and also retrieve its label (name).

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| stadium                   | stadium_label    |
| ------------------------- | ---------------- |
| Miller Park (fb:m.038br5) | Miller Park (da) |
| Miller Park (fb:m.038br5) | Miller Park (de) |
| Miller Park (fb:m.038br5) | Miller Park (en) |
| Miller Park (fb:m.038br5) | Miller Park (fr) |
| Miller Park (fb:m.038br5) | Miller Park (it) |
| ...                       | ...              |
| Miller Park (fb:m.038br5) | Miller Park (pl) |
| Miller Park (fb:m.038br5) | Miller Park (pt) |
| Miller Park (fb:m.038br5) | मिलर पार्क (hi)  |
| Miller Park (fb:m.038br5) | 밀러 파크 (ko)       |
| Miller Park (fb:m.038br5) | ミラー・パーク (ja)     |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person ?nationality WHERE {
  VALUES ?person {
    fb:m.07ldhs fb:m.02qd_td
  }
  OPTIONAL {
    ?person fb:people.person.nationality ?nationality
  }
}

Taylor Lautner is American (United States of America). Jacob Black does not have a nationality defined 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 nationality is taylor lautner jacob black?

[Assistant]
Let's break down the question:

- "Taylor Lautner" is an actor.
- "Jacob Black" is a character played by Taylor Lautner in the Twilight series.
- The question asks for the nationality of "Taylor Lautner Jacob Black". This could mean either the nationality of Taylor Lautner or the nationality of the character Jacob Black.

To clarify, I will search for both entities in Freebase and see which one is relevant, then look for their nationality.

Step 1: Search for "Taylor Lautner" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist
2. Taylor Lautner Comic-con (fb:m.079_yc_)
3. Taylor Lautner Pictures (fb:m.0ch9c91)
4. Taylor Lautner Photos (fb:m.0bkzjjn)
5. Taylor Lautner / Bon Jovi, also known as Taylor Lautner/Bon Jovi (fb:m.08_6mmm): Sketches include "Gov. Sanford, Sen. Ensign, and Sen. Edwards," ... Jovi performed "Superman Tonight" and "When We Were Beautiful.", has type TV Episode
6. Taylor Lautner, Barry Sonnenfeld (fb:m.0dl29x4): Actor Taylor Lautner (The Twilight Saga: Eclipse); director Barry Sonnenfeld., has type TV Episode
7. Taylor Lautner, Katey Sagal, also known as Thu, Nov 19, 2009 (fb:m.0j_b_8d): has type TV Episode
8. Mon, Nov 16, 2009, also known as Taylor Lautner, Heather Locklear (fb:m.08mbmnm): has type TV Episode
9. Penelope Cruz, Taylor Lautner (fb:m.0dkzhk4): has type TV Episode
10. Taylor Lautner, Martha Stewart, Daughtry (fb:m.0kc3xq8): has type TV Episode

[Assistant]
The most relevant entity for Taylor Lautner is fb:m.07ldhs.

Next, let's search for "Jacob Black" to see if there is a separate entity for the character.

[Tool]
Top 10 entity alternatives:
1. Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
2. Jacob Black (fb:m.0g7tl26): has type Musical Recording
3. Jacob Black (fb:m.0124dfnr)
4. Jacob Black (fb:m.012v1ds4)
5. Jacob Black (fb:m.0m_hsqg)
6. Jack Black, also known as Jables, JB, Tenacious D, Thomas Jacob Black, Thomas Jacob "Jack" Black (fb:m.01vsn38): Thomas Jacob "Jack" Black is an American actor, comedian, singer...roup Tenacious D, which he formed in 1994 with friend Kyle Gass., has type Celebrity
7. Black jacobin (fb:m.02vtsld): The black jacobin, previously placed in the monotypic Melanotroc... "females", have a distinctive rufous patch in the malar region., has type Organism Classification
8. The Black Jacobins, also known as black Jacobins (fb:m.0265r1x): The Black Jacobins: Toussaint L'Ouverture and the San Domingo Re...s, and "free" blacks and mulattoes leading up to the Revolution., has type Book
9. Jacob Black-Michaud (fb:m.0c4btg3): has type Author
10. Jacob Blackburn (fb:m.0j1gytw): Jacob Blackburn is a fictional character from the 2011 film Monster Brawl., has type Film character

[Assistant]
The most relevant entity for Jacob Black is fb:m.02qd_td, which is the character from the Twilight series played by Taylor Lautner.

Since the question could refer to either the actor or the character, I will check the nationality for both entities.

First, let's search for properties related to "nationality" for Taylor Lautner (fb:m.07ldhs).

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

No other items found

[Assistant]
The property for nationality is fb:people.person.nationality. I will now check if Taylor Lautner has a value for this property.

After that, I will check the same property for Jacob Black (fb:m.02qd_td), in case the character has a defined nationality as well.

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                              | object                                 |
| ---------------------------- | ----------------------------------------------------- | -------------------------------------- |
| Taylor Lautner (fb:m.07ldhs) | Country of nationality (fb:people.person.nationality) | United States of America (fb:m.09c7w0) |

[Tool] Got no rows and 3 columns

[Assistant]
Taylor Lautner (fb:m.07ldhs) has the nationality "United States of America" (fb:m.09c7w0), while Jacob Black (fb:m.02qd_td) does not have a nationality property defined in Freebase.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?region WHERE {
  fb:m.029jpy fb:location.location.containedby ?region .
}

Got 3 rows and 1 column:
| region                                   |
| ---------------------------------------- |
| Northeastern United States (fb:m.027rjr) |
| Eastern United States (fb:m.02jwvm)      |
| United States of America (fb:m.09c7w0)   |

New England is part of the Northeastern United States and the Eastern United States.

[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 part of the country is new england?

[Assistant]
To answer this question, I need to determine what "New England" refers to in Freebase (likely a region or area), and then find out what part of the country it is considered (e.g., northeast, east coast, etc.).

Step 1: Search for the entity "New England" in Freebase to get its identifier and type.

Step 2: Check what properties are associated with "New England" that might indicate its part of the country or region classification.

Let's start with Step 1: Search for "New England" as an entity.

[Tool]
Top 10 entity alternatives:
1. New England (fb:m.029jpy): New England comprises six states of the Northeastern United Stat...ment, which were termed the "Intolerable Acts" by the colonists., has type Region
2. New England, also known as New England, North Dakota, Hettinger County / New England city (fb:m.0yp7n): New England is a city in Hettinger County, North Dakota, United ... Buttes near New England is a distinguishing symbol of the town., has type City/Town/Village
3. New England (fb:m.01r338n): New England was an American rock band that was mainly active fro..." also received some airplay at the decline of the first single., has type Musical Group
4. A New England, also known as A New England (live), New England (fb:m.0160rkj): has type Musical Recording
5. New England (fb:m.01lfnxj): New England is the seventh studio album by rock band Wishbone As...d see further exploration from Wishbone Ash on their next album., has type Musical Album
6. New England (fb:m.01vwfh): New England or New England North West is the name given to a gen...regions in the north of the state of New South Wales, Australia., has type Location
7. New England (fb:m.037sb0w): has type Musical Release
8. New England (fb:m.0f_5skj): has type Musical Release
9. New England (fb:m.01r337s): New England is the debut album by the American rock band New Eng...t no notice, but has since become a sought after CD by AOR fans., has type Musical Album
10. New England, West Virginia, also known as New England, New England, West Virginia (fb:m.04c7q6s): New England is an unincorporated community in Wood County, West ...11 near the Ohio River, 8.9 miles west-southwest of Parkersburg., has type City/Town/Village

[Assistant]
The most relevant entity for "New England" as a region in the United States is:

- New England (fb:m.029jpy): New England comprises six states of the Northeastern United States...

Now, I need to determine what part of the country this region is considered. This could be found via properties like "region", "part of", "area", or similar.

Next, I will search for properties of the entity fb:m.029jpy related to region, area, or part of the country.

[Tool]
Top 10 property alternatives:
1. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
2. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
3. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
4. Partially contains (fb:location.location.partially_contains): part of Location schema, links to type Location
5. Partially contains (fb:location.location.partiallycontains): links to type Partial containment relationship, part of Location schema
6. Contains (fb:location.location.contains): part of Location schema, links to type Location
7. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant]
The property "Contained by" (fb:location.location.containedby) is likely to indicate what larger region or part of the country New England is considered to be within.

Next, I will list the values for the property "contained by" for New England (fb:m.029jpy) to see what part of the country it is classified under.

[Tool]
Got 3 rows and 3 columns:
| subject                   | property                                        | object                                   |
| ------------------------- | ----------------------------------------------- | ---------------------------------------- |
| New England (fb:m.029jpy) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0)   |
| New England (fb:m.029jpy) | Contained by (fb:location.location.containedby) | Northeastern United States (fb:m.027rjr) |
| New England (fb:m.029jpy) | Contained by (fb:location.location.containedby) | Eastern United States (fb:m.02jwvm)      |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?prev_team ?prev_team_label WHERE {
  ?roster a fb:sports.sports_team_roster ; fb:sports.sports_team_roster.player fb:m.02d9k ; fb:sports.sports_team_roster.team fb:m.01k2yr ; fb:sports.sports_team_roster.from ?lagalaxy_from .
  ?prev_roster a fb:sports.sports_team_roster ; fb:sports.sports_team_roster.player fb:m.02d9k ; fb:sports.sports_team_roster.team ?prev_team ; fb:sports.sports_team_roster.to ?prev_to .
  FILTER ( ?prev_to = ?lagalaxy_from ) OPTIONAL {
    ?prev_team rdfs:label ?prev_team_label
  }
  FILTER ( ?prev_team != fb:m.01k2yr )
}
LIMIT 1

David Beckham played for Real Madrid C.F. before joining LA Galaxy.

[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 team did david beckham play for before la galaxy?

[Assistant]
Let's break down the question:

1. The main entity is "David Beckham".
2. We are interested in the teams he played for, specifically the one immediately before "LA Galaxy".

Step 1: Find the entity for "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 correct entity for David Beckham the footballer is fb:m.02d9k.

Next, I need to find the entity for "LA Galaxy" to identify the team he joined, and then look for the team he played for immediately before that.

Step 2: Search for "LA Galaxy" in Freebase.

[Tool]
Top 10 entity alternatives:
1. LA Galaxy, also known as L.A. Galaxy, Los Angeles Galaxy (fb:m.01k2yr): The LA Galaxy, also known as the Los Angeles Galaxy, is an Ameri...rently captains the club, Steven Gerrard and Giovani Dos Santos., has type Football team
2. LA Galaxy II (fb:m.0_gy699): LA Galaxy II is an American professional soccer team based in Ca...eague, the third tier of the United States soccer league system., has type Organization
3. Lady Galaxy (fb:m.0frj5sx): has type Musical Recording
4. Lady Galaxy (fb:m.0zkr5_k): has type Composition
5. Lady Galaxy, also known as Lady Galaxy (from BoA ARENA TOUR 2007 MADE IN TWENTY(20)) (fb:m.0dtkck4): has type Musical Recording
6. Ladybird Galaxy (fb:m.0kyncbc): has type Video game
7. Last Galaxy (fb:m.0ffvypm): has type Musical Recording
8. Featuring the See Dad Run Cast, also known as Featuring LA Galaxy (fb:m.0nd0_qv): has type TV Episode
9. Featuring LA Galaxy, also known as Featuring Noah Crawford (fb:m.0nd0_px): has type TV Episode
10. Lady Galaxy (fb:m.0rsflpz)

[Assistant]
The correct entity for LA Galaxy (the football team) is fb:m.01k2yr.

Now, I need to find the teams David Beckham played for, and specifically the one he played for immediately before joining LA Galaxy.

Step 3: Search for properties related to "teams played for" or "club career" for David Beckham in Freebase.

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award
4. Position(s) (fb:soccer.football_player.position_s): links to type Football Position, part of Football player schema
5. World Cup Team (fb:base.x2010fifaworldcupsouthafrica.world_cup_participant.world_cup_team): part of 2010World Cup Athlete schema, links to type World Cup Squad
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Parties (fb:base.popstra.celebrity.parties): links to type Party Attendance, part of Celebrity schema
8. Supports (fb:base.popstra.celebrity.supporter): part of Celebrity schema, links to type Support
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
The property fb:sports.pro_athlete.teams is likely to link David Beckham to the teams he played for.

Next, I will list the values for this property for David Beckham to see the teams he played for and their order.

[Tool]
Got 9 rows and 3 columns:
| subject                    | property                            | object       |
| -------------------------- | ----------------------------------- | ------------ |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.02nr829 |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.05ckhjp |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0bvddcl |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0bvddcw |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0bvddd4 |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0pxgqf6 |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0pxgqz5 |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0pxgr8r |
| David Beckham (fb:m.02d9k) | Teams (fb:sports.pro_athlete.teams) | fb:m.0qd3y3c |

[Assistant]
I have found 9 teams associated with David Beckham via the property fb:sports.pro_athlete.teams, but I need to determine which one is LA Galaxy (fb:m.01k2yr) and which team immediately precedes it.

To do this, I need to know the time periods he played for each team. Usually, the "teams" property links to a roster or a team membership object that may contain start and end dates, as well as the actual team entity.

Next, I will list the triples for one of these objects (e.g., fb:m.02nr829) to see if it contains information about the actual team and the time period.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.02nr829 | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.02nr829 | Player (fb:sports.sports_team_roster.player)     | David Beckham (fb:m.02d9k)                        |
| fb:m.02nr829 | Position (fb:sports.sports_team_roster.position) | Midfielder (fb:m.02nzb8)                          |
| fb:m.02nr829 | Team (fb:sports.sports_team_roster.team)         | LA Galaxy (fb:m.01k2yr)                           |
| fb:m.02nr829 | From (fb:sports.sports_team_roster.from)         | 2007 (xsd:gYear)                                  |
| fb:m.02nr829 | To (fb:sports.sports_team_roster.to)             | 2012 (xsd:gYear)                                  |
| fb:m.02nr829 | Number (fb:sports.sports_team_roster.number)     | 23                                                |
| fb:m.02nr829 | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
The object fb:m.02nr829 represents David Beckham's time at LA Galaxy from 2007 to 2012.

Now, I need to check the other team roster objects for their "to" date to find which team he played for immediately before 2007.

I will check another roster object, for example, fb:m.05ckhjp.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.05ckhjp | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.05ckhjp | Player (fb:sports.sports_team_roster.player)     | David Beckham (fb:m.02d9k)                        |
| fb:m.05ckhjp | Position (fb:sports.sports_team_roster.position) | Midfielder (fb:m.02nzb8)                          |
| fb:m.05ckhjp | Team (fb:sports.sports_team_roster.team)         | A.C. Milan (fb:m.011v3)                           |
| fb:m.05ckhjp | From (fb:sports.sports_team_roster.from)         | 2009 (xsd:gYear)                                  |
| fb:m.05ckhjp | To (fb:sports.sports_team_roster.to)             | 2009 (xsd:gYear)                                  |
| fb:m.05ckhjp | Number (fb:sports.sports_team_roster.number)     | 32                                                |
| fb:m.05ckhjp | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
The object fb:m.05ckhjp is for A.C. Milan in 2009, which is after he joined LA Galaxy (since his LA Galaxy period is 2007–2012).

I need to find the team he played for immediately before 2007. I will check another roster object, such as fb:m.0bvddcl.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.0bvddcl | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0bvddcl | Has value (fb:freebase.valuenotation.has_value)  | Number (fb:m.0ngrd_w)                             |
| fb:m.0bvddcl | Player (fb:sports.sports_team_roster.player)     | David Beckham (fb:m.02d9k)                        |
| fb:m.0bvddcl | Position (fb:sports.sports_team_roster.position) | Midfielder (fb:m.02nzb8)                          |
| fb:m.0bvddcl | Team (fb:sports.sports_team_roster.team)         | Preston North End F.C. (fb:m.027ffq)              |
| fb:m.0bvddcl | From (fb:sports.sports_team_roster.from)         | 1994 (xsd:gYear)                                  |
| fb:m.0bvddcl | To (fb:sports.sports_team_roster.to)             | 1995 (xsd:gYear)                                  |
| fb:m.0bvddcl | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
fb:m.0bvddcl is for Preston North End F.C., from 1994 to 1995, which is much earlier than LA Galaxy.

I will check another roster object, fb:m.0bvddcw.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.0bvddcw | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0bvddcw | Player (fb:sports.sports_team_roster.player)     | David Beckham (fb:m.02d9k)                        |
| fb:m.0bvddcw | Position (fb:sports.sports_team_roster.position) | Midfielder (fb:m.02nzb8)                          |
| fb:m.0bvddcw | Team (fb:sports.sports_team_roster.team)         | Real Madrid C.F. (fb:m.06l22)                     |
| fb:m.0bvddcw | From (fb:sports.sports_team_roster.from)         | 2003 (xsd:gYear)                                  |
| fb:m.0bvddcw | To (fb:sports.sports_team_roster.to)             | 2007 (xsd:gYear)                                  |
| fb:m.0bvddcw | Number (fb:sports.sports_team_roster.number)     | 23                                                |
| fb:m.0bvddcw | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
fb:m.0bvddcw is for Real Madrid C.F., from 2003 to 2007. This ends in 2007, which matches the year he joined LA Galaxy.

Therefore, the team David Beckham played for immediately before LA Galaxy was Real Madrid C.F. (fb:m.06l22).

Now, I will construct a SPARQL query that, given David Beckham and LA Galaxy, returns the team he played for immediately before LA Galaxy, including the team IRI and optionally its label.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?org ?orgLabel WHERE {
  fb:m.01rnwj fb:organization.organization_founder.organizations_founded ?org .
  OPTIONAL {
    ?org rdfs:label ?orgLabel
  }
}

Got 8 rows and 2 columns:
| org                                             | orgLabel                                |
| ----------------------------------------------- | --------------------------------------- |
| Coalition of Labor Union Women (fb:m.027hxmd)   | Coalition of Labor Union Women (en)     |
| Choice USA (fb:m.02vvc3x)                       | Choice USA (en)                         |
| Ms. Foundation for Women (fb:m.03cytx2)         | Ms. Foundation for Women (en)           |
| National Women's Political Caucus (fb:m.04wwjx) | National Women's Political Caucus (en)  |
| New York Media, LLC (fb:m.05st95c)              | New York Media, LLC (en)                |
| Women's Action Alliance (fb:m.0640068)          | Women's Action Alliance (en)            |
| Feminist Majority Foundation (fb:m.06d6x5)      | Feminist Majority Foundation (en)       |
| Feminist Majority Foundation (fb:m.06d6x5)      | Fundacja Feministycznej Większości (pl) |

Gloria Steinem founded the following organizations: Coalition of Labor Union Women, Choice USA, Ms. Foundation for Women, National Women's Political Caucus, New York Media, LLC, Women's Action Alliance, and Feminist Majority Foundation.

[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 did gloria steinem founded?

[Assistant]
Let's break down the question:

1. The entity is "Gloria Steinem".
2. The property is "founded" or "founder of"—we want to know what organizations or things Gloria Steinem founded.

First, I will search for the entity "Gloria Steinem" in Freebase to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Gloria Steinem, also known as Gloria Marie Steinem (fb:m.01rnwj): Gloria Marie Steinem is an American feminist, journalist, and so...to be titled Road to the Heart: America As if Everyone Mattered., has type Politician
2. Gloria Steinem (fb:m.0dl3bwq): Stephen starts his astronaut training, and Gloria Steinem discusses the benefits of men raising kids., has type TV Episode
3. Gloria Steinem, also known as Gloria: In Her Own Words (fb:m.0jgxq9h): Gloria Steinem is on the show telling us about her new film Glor...obby Lee, comedian Fortune Feimster and comedian Chris Hardwick., has type TV Episode
4. Gloria Steinem (fb:m.0k9zkrm): Mitt Romney thinks corporations are people too, Stephen reveals his super PAC ad, and Gloria Steinem discusses gender equality., has type TV Episode
5. Gloria Steinem (fb:m.079hvc_): has type TV Episode
6. Gloria Steinem (fb:m.011ct_s0): HARDtalk speaks to one of the most influential women in the hist...e one of the world's best known campaigners for gender equality., has type TV Episode
7. Gloria Steinem (fb:m.0wg9qkx): Oprah and legendary feminist/activist Gloria Steinem sit down wi...t age 10, marrying at age 66 and the biggest regret of her life., has type TV Episode
8. Gloria Steinem (fb:m.0gxq1rg): has type Film character
9. Gloria Steinem (fb:m.0k03wj6): Gloria Steinem is a fictional character from the 2012 film Lovelace., has type Film character
10. Gloria Steinem (fb:m.0n5q7j8): Gloria Steinem is a fictional character from the 1985 film A Bunny’s Tale., has type Film character

[Assistant]
The correct entity for Gloria Steinem, the American feminist and journalist, is fb:m.01rnwj.

Next, I need to find the property in Freebase that relates to "founded" or "founder of". I will search for properties related to "founder" for this entity.

[Tool]
Top 10 property alternatives:
1. Organizations founded (fb:organization.organization_founder.organizations_founded): part of Organization founder schema, links to type Organization
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Profession (fb:people.person.profession): links to type Profession, part of Person schema
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Contributing author to (fb:book.author.contributing_author_to): links to type Book Edition, part of Author schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
The most relevant property is "Organizations founded" (fb:organization.organization_founder.organizations_founded), which links a person to organizations they have founded.

Now, I will construct a SPARQL query to find the organizations that Gloria Steinem (fb:m.01rnwj) founded, returning their IRIs and optionally their labels.

[Tool]
Got 8 rows and 2 columns:
| org                                             | orgLabel                                |
| ----------------------------------------------- | --------------------------------------- |
| Coalition of Labor Union Women (fb:m.027hxmd)   | Coalition of Labor Union Women (en)     |
| Choice USA (fb:m.02vvc3x)                       | Choice USA (en)                         |
| Ms. Foundation for Women (fb:m.03cytx2)         | Ms. Foundation for Women (en)           |
| National Women's Political Caucus (fb:m.04wwjx) | National Women's Political Caucus (en)  |
| New York Media, LLC (fb:m.05st95c)              | New York Media, LLC (en)                |
| Women's Action Alliance (fb:m.0640068)          | Women's Action Alliance (en)            |
| Feminist Majority Foundation (fb:m.06d6x5)      | Feminist Majority Foundation (en)       |
| Feminist Majority Foundation (fb:m.06d6x5)      | Fundacja Feministycznej Większości (pl) |

[Tool] Stopped generation process