PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?battle ?battleLabel WHERE {
  fb:m.07r8h fb:military.military_person.participated_in_conflicts ?battle .
  ?battle rdf:type fb:military.military_conflict .
  OPTIONAL {
    ?battle rdfs:label ?battleLabel FILTER ( lang( ?battleLabel ) = "en" )
  }
  FILTER ( ! CONTAINS( LCASE( ?battleLabel ) , "war" ) ) FILTER ( ! CONTAINS( LCASE( ?battleLabel ) , "campaign" ) )
}

Got 9 rows and 2 columns:
| battle                                  | battleLabel                     |
| --------------------------------------- | ------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  | First Battle of Bull Run (en)   |
| Battle of Chantilly (fb:m.02bckn)       | Battle of Chantilly (en)        |
| Battle of Harpers Ferry (fb:m.02p037)   | Battle of Harpers Ferry (en)    |
| Seven Days Battles (fb:m.03xzs_)        | Seven Days Battles (en)         |
| Battle of Cedar Mountain (fb:m.04v_mz)  | Battle of Cedar Mountain (en)   |
| Battle of Chancellorsville (fb:m.0d0mw) | Battle of Chancellorsville (en) |
| Battle of Fredericksburg (fb:m.0d0y7)   | Battle of Fredericksburg (en)   |
| Second Battle of Bull Run (fb:m.0f777)  | Second Battle of Bull Run (en)  |
| Battle of Antietam (fb:m.0lkxb)         | Battle of Antietam (en)         |

Stonewall Jackson fought in several distinct battles including the First Battle of Bull Run, Battle of Chantilly, Battle of Harpers Ferry, Seven Days Battles, Battle of Cedar Mountain, Battle of Chancellorsville, Battle of Fredericksburg, Second Battle of Bull Run, and Battle of Antietam. This list is not exhaustive but highlights key battles he participated in.

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

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

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

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

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

[User] what battles did stonewall jackson fight in?

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

[Tool]
Example 1:
Question:
what battles did robert e lee participate in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06f5j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06f5j fb:military.military_person.participated_in_conflicts ?x .
}

Using entities:
Robert E. Lee, also known as The Old Man, The King of Spades, The Great Tycoon, Robert E Lee, Robert Edward Lee (fb:m.06f5j): Robert Edward Lee was an American soldier best known for command...ning most of his battles, all against far superior Union armies., has type Military Commander

Using properties:
Participated in conflicts (fb:military.military_person.participated_in_conflicts): links to type Military Conflict, part of Military Person schema

Example 2:
Question:
what battles did robert e lee participate in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06f5j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06f5j fb:military.military_commander.military_commands ?y .
  ?y fb:military.military_command.military_conflict ?x .
}

Using entities:
Robert E. Lee, also known as The Old Man, The King of Spades, The Great Tycoon, Robert E Lee, Robert Edward Lee (fb:m.06f5j): Robert Edward Lee was an American soldier best known for command...ning most of his battles, all against far superior Union armies., has type Military Commander

Using properties:
Military Conflict (fb:military.military_command.military_conflict): links to type Military Conflict, part of Military Command schema
Military Commands (fb:military.military_commander.military_commands): part of Military Commander schema, links to type Military Command

Example 3:
Question:
where was the battle of shiloh?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0127mr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0127mr fb:time.event.locations ?x .
}

Using entities:
Battle of Shiloh, also known as Battle of Pittsburg Landing (fb:m.0127mr): The Battle of Shiloh, also known as the Battle of Pittsburg Land...way from the river and into the swamps of Owl Creek to the west., has type Military Conflict

Using properties:
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

[Assistant]
From the examples, we see two main ways to find battles a military person fought in:
1. Using the property fb:military.military_person.participated_in_conflicts
2. Using the properties fb:military.military_commander.military_commands and fb:military.military_command.military_conflict

Next, I will search for the entity "Stonewall Jackson" in the freebase knowledge graph to get his identifier. Then I will try to find battles he fought in using the properties identified above.

[Tool]
Top 10 entity alternatives:
1. Stonewall Jackson, also known as Thomas J. Jackson, Thomas Jonathan Jackson (fb:m.07r8h): Thomas Jonathan "Stonewall" Jackson was a Confederate general du...ldwide even today as examples of innovative and bold leadership., has type Military Commander
2. Stonewall Jackson, also known as Jackson, Stonewall (fb:m.01jx2f4): Stonewall Jackson is an American country singer and musician who... country's "golden" honky tonk era in the 1950s and early 1960s., has type Composer
3. Stoney Jackson, also known as Stonewall W. "Stoney" Jackson, Stoneman, Stonewall W. Jackson, Stonewall Jackson, Alwyn M. Jackson (fb:m.02qfbtl): Stonewall W. "Stoney" Jackson is an American character actor. Jackson was born in Richmond, Virginia., has type TV Actor
4. Stonewall Jackson (fb:m.0gyzvwl): has type Film
5. Stonewall Jackson (fb:m.03b84tg)
6. Stonewall Jackson (fb:m.0127y31): has type Musical Recording
7. Stonewall Jackson (fb:m.07j_r3s): has type TV Episode
8. Stonewall Jackson (fb:m.0dw54dg): has type Musical Recording
9. Stonewall Jackson (fb:m.0g2r9sm): has type Musical Recording
10. Stonewall Jackson (fb:m.0j5m271): He earned his nickname for bravery at Bull Run. He met his fate in a tragic accident at Chancellorsville., has type TV Episode

[Assistant] The entity for Stonewall Jackson as the Confederate general and military commander is fb:m.07r8h. Now I will query the battles he fought in using the property fb:military.military_person.participated_in_conflicts first.

[Tool]
Got 15 rows and 1 column, showing the first 5 and last 5 rows below:
| battle                                  |
| --------------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  |
| Jackson's Valley Campaign (fb:m.021h20) |
| Battle of Chantilly (fb:m.02bckn)       |
| Battle of Harpers Ferry (fb:m.02p037)   |
| Romney Expedition (fb:m.02q5_1r)        |
| ...                                     |
| Battle of Chancellorsville (fb:m.0d0mw) |
| Battle of Fredericksburg (fb:m.0d0y7)   |
| Second Battle of Bull Run (fb:m.0f777)  |
| American Civil War (fb:m.0kbq)          |
| Battle of Antietam (fb:m.0lkxb)         |

[Assistant]
Stonewall Jackson fought in several battles including the First Battle of Bull Run, Jackson's Valley Campaign, Battle of Chantilly, Battle of Harpers Ferry, Romney Expedition, Battle of Chancellorsville, Battle of Fredericksburg, Second Battle of Bull Run, American Civil War, and Battle of Antietam among others.

I will now finalize the answer with the list of battles.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves battles that Stonewall Jackson participated in using the property 'participated_in_conflicts'. However, the query also returns 'American Civil War', which is a war/conflict rather than a specific battle. The question specifically asks for battles, so the query should be refined to filter out broader conflicts and only include specific battles. This can be done by adding a filter to ensure the returned items are of type 'Military Conflict' but not a broader war or campaign, or by filtering for known battle types. Additionally, the answer text could clarify that the list is not exhaustive and mention that the query returns distinct battles. Overall, the approach is good but needs refinement to better match the user's question.

[Assistant] The feedback suggests refining the query to exclude broader conflicts like "American Civil War" and only include specific battles. To do this, I will add a filter to ensure the returned items are of type "Military Conflict" but exclude broader wars or campaigns if possible. I will also clarify in the answer that the list is not exhaustive and returns distinct battles. I will now refine the SPARQL query accordingly.

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| battle                                  | battleLabel                     |
| --------------------------------------- | ------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  | First Battle of Bull Run (en)   |
| Jackson's Valley Campaign (fb:m.021h20) | Jackson's Valley Campaign (en)  |
| Battle of Chantilly (fb:m.02bckn)       | Battle of Chantilly (en)        |
| Battle of Harpers Ferry (fb:m.02p037)   | Battle of Harpers Ferry (en)    |
| Seven Days Battles (fb:m.03xzs_)        | Seven Days Battles (en)         |
| ...                                     | ...                             |
| Battle of Chancellorsville (fb:m.0d0mw) | Battle of Chancellorsville (en) |
| Battle of Fredericksburg (fb:m.0d0y7)   | Battle of Fredericksburg (en)   |
| Second Battle of Bull Run (fb:m.0f777)  | Second Battle of Bull Run (en)  |
| American Civil War (fb:m.0kbq)          | American Civil War (en)         |
| Battle of Antietam (fb:m.0lkxb)         | Battle of Antietam (en)         |

[Assistant] The refined query still returns "American Civil War" which is a broader war, not a specific battle. This means the filter to exclude wars did not work as expected. I will try a different approach by excluding known broader conflict types such as military_war and military_campaign explicitly. I will also check the types of the returned entities to better understand how to filter.

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| battle                                  | type                                              |
| --------------------------------------- | ------------------------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  | Military Conflict (fb:military.military_conflict) |
| Jackson's Valley Campaign (fb:m.021h20) | Military Conflict (fb:military.military_conflict) |
| Battle of Chantilly (fb:m.02bckn)       | Military Conflict (fb:military.military_conflict) |
| Battle of Harpers Ferry (fb:m.02p037)   | Military Conflict (fb:military.military_conflict) |
| Seven Days Battles (fb:m.03xzs_)        | Military Conflict (fb:military.military_conflict) |
| ...                                     | ...                                               |
| Battle of Chancellorsville (fb:m.0d0mw) | Military Conflict (fb:military.military_conflict) |
| Battle of Fredericksburg (fb:m.0d0y7)   | Military Conflict (fb:military.military_conflict) |
| Second Battle of Bull Run (fb:m.0f777)  | Military Conflict (fb:military.military_conflict) |
| American Civil War (fb:m.0kbq)          | Military Conflict (fb:military.military_conflict) |
| Battle of Antietam (fb:m.0lkxb)         | Military Conflict (fb:military.military_conflict) |

[Assistant] The "American Civil War" is also typed as Military Conflict, same as the battles. There is no separate type for broader wars or campaigns that we can filter out directly. Instead, I will try to exclude known broader conflicts by filtering out entities with labels containing "war" or "campaign" as a heuristic to get only battles. I will refine the query accordingly.

[Tool]
Got 9 rows and 2 columns:
| battle                                  | battleLabel                     |
| --------------------------------------- | ------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  | First Battle of Bull Run (en)   |
| Battle of Chantilly (fb:m.02bckn)       | Battle of Chantilly (en)        |
| Battle of Harpers Ferry (fb:m.02p037)   | Battle of Harpers Ferry (en)    |
| Seven Days Battles (fb:m.03xzs_)        | Seven Days Battles (en)         |
| Battle of Cedar Mountain (fb:m.04v_mz)  | Battle of Cedar Mountain (en)   |
| Battle of Chancellorsville (fb:m.0d0mw) | Battle of Chancellorsville (en) |
| Battle of Fredericksburg (fb:m.0d0y7)   | Battle of Fredericksburg (en)   |
| Second Battle of Bull Run (fb:m.0f777)  | Second Battle of Bull Run (en)  |
| Battle of Antietam (fb:m.0lkxb)         | Battle of Antietam (en)         |

[Assistant]
The refined query now excludes broader conflicts like wars and campaigns by filtering out labels containing "war" or "campaign". It returns specific battles Stonewall Jackson fought in, such as First Battle of Bull Run, Battle of Chantilly, Battle of Harpers Ferry, Seven Days Battles, Battle of Cedar Mountain, Battle of Chancellorsville, Battle of Fredericksburg, Second Battle of Bull Run, and Battle of Antietam.

I will finalize the answer with this refined list and mention that the list is not exhaustive and returns distinct battles.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves battles in which Stonewall Jackson participated, filtering out broader wars or campaigns. The answer lists key battles from the query result, which is accurate and relevant to the question. The query uses appropriate properties and returns both identifiers and English labels, adhering to best practices. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?animal ?animalLabel WHERE {
  fb:m.01n7q fb:government.governmental_jurisdiction.official_symbols ?symbol .
  ?symbol fb:location.location_symbol_relationship.symbol ?animal .
  ?symbol fb:location.location_symbol_relationship.Kind_of_symbol fb:m.0462793 .
  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 the state animal is the California grizzly bear.

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

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

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

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

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

[User] what animal represents california?

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

[Tool]
Example 1:
Question:
what is the san francisco giants mascot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.team_mascot ?x .
}

Using entities:
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

Using properties:
Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot

Example 2:
Question:
what cities should i visit in california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.01n7q fb:travel.travel_destination.tourist_attractions ?y .
  ?y fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01m9 .
}

Using entities:
City/Town/Village, also known as City, Village, Hamlet, Town (fb:m.01m9): City/town/village refers to all named inhabited places at the mo...rmation, please see the Freebase wiki page on City/Town/Village.
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

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
who is the elected governor of california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n7q fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
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
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

[Assistant]
The similar examples did not directly address the question of what animal represents California. The question is about a symbolic or representative animal for the state of California. This could be a state animal, mascot, or emblematic animal.

Next, I will search for the entity "California" in Freebase to get its identifier. Then I will look for properties related to animals or symbols associated with California.

[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 entity for the US state California is fb:m.01n7q. Now I will search for properties of this entity that might relate to animals or symbols representing California. I will search for properties with keywords like "animal", "symbol", or "represent".

[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] No direct property related to "animal" was found for the entity California. I will try searching for properties with the keyword "symbol" to see if there is a symbolic animal or emblem associated with California.

[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] There is a property called "official symbols" (fb:government.governmental_jurisdiction.official_symbols) for California. This might include animals that represent the state. I will now query the official symbols of California.

[Tool]
Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| symbol       | symbolLabel |
| ------------ | ----------- |
| fb:m.0462792 |             |
| fb:m.046279k |             |
| fb:m.046279y |             |
| fb:m.04627b8 |             |
| fb:m.04627bn |             |
| ...          | ...         |
| fb:m.04l0cxt |             |
| fb:m.04st73l |             |
| fb:m.04stpyt |             |
| fb:m.0hgjt1v |             |
| fb:m.0hzd2m1 |             |

[Assistant] There are multiple official symbols for California, but they do not have labels in the query result. I will now query the labels of these symbols to identify which one(s) might be animals. I will limit to the first 10 symbols for efficiency.

[Tool]
Got 10 rows and 2 columns:
| symbol       | symbolLabel |
| ------------ | ----------- |
| fb:m.0462792 |             |
| fb:m.046279k |             |
| fb:m.046279y |             |
| fb:m.04627b8 |             |
| fb:m.04627bn |             |
| fb:m.04l0cxt |             |
| fb:m.04st73l |             |
| fb:m.04stpyt |             |
| fb:m.0hgjt1v |             |
| fb:m.0hzd2m1 |             |

[Assistant] The official symbols do not have labels in the dataset, so I cannot identify them directly from the previous query. I will now try to get the types of these symbols to see if any of them are animals. I will check the types of the first 10 symbols.

[Tool]
Got 10 rows and 2 columns:
| symbol       | type                                                                    |
| ------------ | ----------------------------------------------------------------------- |
| fb:m.0462792 | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.046279k | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.046279y | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.04627b8 | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.04627bn | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.04l0cxt | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.04st73l | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.04stpyt | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.0hgjt1v | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.0hzd2m1 | Location/symbol relationship (fb:location.location_symbol_relationship) |

[Assistant] The symbols are of type "Location/symbol relationship," which means they relate California to some symbols. I will now explore one of these symbol relationships to find the actual symbol (animal or otherwise) it refers to. I will check the object of the symbol relationship for one of these, e.g., fb:m.0462792.

[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) |

[Assistant]
The symbol relationship fb:m.0462792 links California to the "California grizzly bear" (fb:m.046279b) as the "State animal" symbol adopted in 1953. This indicates that the California grizzly bear represents California as the state animal.

I will now finalize the answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the animal that represents California as the state animal, which is the California grizzly bear. The query uses appropriate properties and entities to find the official symbol of type state animal for California. The result includes the correct entity and its labels in multiple languages, providing a comprehensive answer. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?stadium ?stadiumLabel WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadiumLabel FILTER ( lang( ?stadiumLabel ) = "en" )
  }
}
LIMIT 1

The Milwaukee Brewers stadium is called Miller Park.

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

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

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

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

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

[User] what is the milwaukee brewers stadium called?

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

[Tool]
Example 1:
Question:
what was the milwaukee brewers old name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.051vz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.051vz fb:sports.sports_team.previously_known_as ?x .
}

Using entities:
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

Using properties:
Previously Known As (fb:sports.sports_team.previously_known_as): links to type Defunct Sports Team, part of Sports Team schema

Example 2:
Question:
where is st louis cardinals stadium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06x68 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06x68 fb:sports.sports_team.arena_stadium ?x .
  ?x fb:architecture.structure.opened ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
St. Louis Cardinals, also known as Rally Squirrel, Saint Louis Cardinals, Redbirds, Cards (fb:m.06x68): The St. Louis Cardinals are a professional baseball team based i...n outright in 1886 in a storied rivalry that continues on today., Under the Arch that signifies the Gateway to the American West, ...pionships, nine Division Titles and thirty-seven Hall of Famers., has type Professional Sports Team

Using properties:
Opened (fb:architecture.structure.opened): part of Structure schema, links to type Date/Time
Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema

Example 3:
Question:
where does the atlanta braves play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0x2p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0x2p fb:sports.sports_team.arena_stadium ?x .
}

Using entities:
Atlanta Braves, also known as The Team of the 90s, The Bravos, The Braves, Boston Rustlers, Boston Red Caps (fb:m.0x2p): The Atlanta Braves are a Major League Baseball team in Atlanta, ...World Series five times in the 1990s, winning the title in 1995., has type Professional Sports Team

Using properties:
Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema

[Assistant]
From the similar examples, it appears that the Milwaukee Brewers is represented by the entity fb:m.051vz in Freebase. The property that relates a sports team to its stadium or arena is fb:sports.sports_team.arena_stadium.

I will now write a SPARQL query to find the stadium of the Milwaukee Brewers using this property.

[Tool]
Got 1 row and 2 columns:
| stadium                   | stadiumLabel     |
| ------------------------- | ---------------- |
| Miller Park (fb:m.038br5) | Miller Park (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the Milwaukee Brewers stadium as Miller Park. The SPARQL query is well-formed, retrieves the stadium entity and its English label, and the result matches the known answer. The query uses the appropriate property (arena_stadium) and the correct entity for the Milwaukee Brewers. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?nationality WHERE {
  fb:m.07ldhs fb:people.person.nationality ?nationality .
}
LIMIT 1

Taylor Lautner's nationality is United States of America.

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

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

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

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

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

[User] what nationality is taylor lautner jacob black?

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

[Tool]
Example 1:
Question:
what films have taylor lautner been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
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

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

Example 2:
Question:
what movies has taylor lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
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

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

Example 3:
Question:
what films have taylor lautner starred in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
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

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

[Assistant] The examples show that Taylor Lautner is identified as fb:m.07ldhs in Freebase. The question asks for the nationality of Taylor Lautner, who played Jacob Black. I will now search for the nationality or citizenship property of Taylor Lautner (fb:m.07ldhs) in Freebase.

[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 "Country of nationality" (fb:people.person.nationality) is the most relevant to find the nationality of Taylor Lautner. I will now query the nationality of Taylor Lautner using this property.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| nationality                            | nationalityLabel                 |
| -------------------------------------- | -------------------------------- |
| United States of America (fb:m.09c7w0) | Ameerika Ühendriigid (et)        |
| United States of America (fb:m.09c7w0) | Amerika Birleşik Devletleri (tr) |
| United States of America (fb:m.09c7w0) | Amerikai Egyesült Államok (hu)   |
| United States of America (fb:m.09c7w0) | Amerika Serikat (id)             |
| United States of America (fb:m.09c7w0) | Amerikas Savienotās Valstis (lv) |
| ...                                    | ...                              |
| United States of America (fb:m.09c7w0) | สหรัฐอเมริกา (th)                |
| United States of America (fb:m.09c7w0) | 미국 (ko)                          |
| United States of America (fb:m.09c7w0) | アメリカ合衆国 (ja)                     |
| United States of America (fb:m.09c7w0) | 美国 (zh)                          |
| United States of America (fb:m.09c7w0) | 美國 (zh-Hant)                     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the nationality of Taylor Lautner using the property fb:people.person.nationality. The answer 'United States of America' is accurate and matches the entity returned by the query. The query is simple, direct, and returns the expected result. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?part ?partLabel WHERE {
  fb:m.029jpy fb:location.location.containedby ?part .
  OPTIONAL {
    ?part rdfs:label ?partLabel .
    FILTER ( lang( ?partLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| part                                     | partLabel                       |
| ---------------------------------------- | ------------------------------- |
| Northeastern United States (fb:m.027rjr) | Northeastern United States (en) |
| Eastern United States (fb:m.02jwvm)      | Eastern United States (en)      |
| United States of America (fb:m.09c7w0)   | United States of America (en)   |

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

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

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

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

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

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

[User] what part of the country is new england?

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

[Tool]
Example 1:
Question:
what time zone is new england usa in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.029jpy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.029jpy fb:location.location.time_zones ?x .
}

Using entities:
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

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 2:
Question:
what timezone is new england usa in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.029jpy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.029jpy fb:location.location.time_zones ?x .
}

Using entities:
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

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what states does the connecticut river flow through?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01ldvs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01ldvs fb:location.location.partially_containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Connecticut River (fb:m.01ldvs): The Connecticut River is the longest river in the New England re...Massachusetts, and the state of Connecticut's capital, Hartford., has type River
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

[Assistant]
From the examples, I see that New England is identified as a region (fb:m.029jpy) in the knowledge graph. The question "what part of the country is New England?" likely refers to its location within the United States, which can be described as a region or part of the country.

I will first search for the entity "New England" in the freebase knowledge graph to confirm its identifier and then check its properties related to location or part of the country.

[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 entity "New England" as a region in the Northeastern United States is identified as fb:m.029jpy. Now I will check the properties of this entity to find information about what part of the country it is. I will look for properties related to location, region, or part of the country.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
7. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Rides (fb:amusement_parks.ride_theme.rides): part of Amusement Ride Theme schema, links to type Amusement Ride
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Geolocation" (fb:location.location.geolocation) seems relevant to the question about the part of the country New England is in. I will query the geolocation information for New England (fb:m.029jpy) to see if it provides the part of the country or region details.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                                       | object       |
| ------------------------- | ---------------------------------------------- | ------------ |
| New England (fb:m.029jpy) | Geolocation (fb:location.location.geolocation) | fb:m.0cmflrv |

[Assistant] The geolocation of New England is given by the entity fb:m.0cmflrv. I will now check what this geolocation entity represents to understand the part of the country New England is in.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.0cmflrv | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.0cmflrv | Latitude (fb:location.geocode.latitude)   | 44.205556                     |
| fb:m.0cmflrv | Longitude (fb:location.geocode.longitude) | -70.306425                    |
| fb:m.0cmflrv | rdf:type                                  | Geocode (fb:location.geocode) |

[Assistant] The geolocation entity fb:m.0cmflrv provides latitude and longitude coordinates for New England but does not explicitly state the part of the country. I will try to find a property that directly states the part of the country or region within the United States for New England (fb:m.029jpy). I will search for properties related to "part of" or "region" for this entity.

[Tool]
Top 10 property alternatives:
1. Partially contains (fb:location.location.partially_contains): part of Location schema, links to type Location
2. Partially contains (fb:location.location.partiallycontains): links to type Partial containment relationship, part of Location schema
3. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
4. Contains (fb:location.location.contains): part of Location schema, links to type Location
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant] The property "Contained by" (fb:location.location.containedby) seems relevant to indicate the larger location or part of the country that New England is contained by. I will query this property for New England (fb:m.029jpy) to find out what part of the country it belongs to.

[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)      |

[Assistant]
New England (fb:m.029jpy) is contained by the United States of America (fb:m.09c7w0), the Northeastern United States (fb:m.027rjr), and the Eastern United States (fb:m.02jwvm). This indicates that New England is part of the Northeastern and Eastern United States regions.

I will now formulate a SPARQL query to return these parts of the country that New England is contained by.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the regions that New England is part of, including the Northeastern United States and the Eastern United States, as well as the United States of America. The answer is accurate and complete based on the query results. The query follows the rules by returning identifiers and labels optionally, and it does not perform any post-processing outside SPARQL. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?team ?teamLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.teams ?roster1 .
  ?roster1 fb:sports.sports_team_roster.team fb:m.01k2yr .
  ?roster1 fb:sports.sports_team_roster.from ?fromLA .
  fb:m.02d9k fb:sports.pro_athlete.teams ?roster2 .
  ?roster2 fb:sports.sports_team_roster.team ?team .
  ?roster2 fb:sports.sports_team_roster.to ?to .
  FILTER ( ?to <= ?fromLA ) .
  ?team rdfs:label ?teamLabel .
  FILTER ( lang( ?teamLabel ) = "en" )
}
ORDER BY DESC ( ?to )
LIMIT 1

David Beckham played for Real Madrid C.F. before he played for 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 https://qlever.cs.uni-freiburg.de/api/freebase

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

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

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

[User] what team did david beckham play for before la galaxy?

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

[Tool]
Example 1:
Question:
who does david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2013-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
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

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

Example 2:
Question:
who will david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2013-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
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

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

Example 3:
Question:
who does david beckham play for in 2012?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2012-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2012-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
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

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

[Assistant]
From the examples, it seems that David Beckham is represented by the entity fb:m.02d9k in Freebase. The property fb:sports.pro_athlete.teams links to sports team rosters, which have properties fb:sports.sports_team_roster.team (the team), fb:sports.sports_team_roster.from (start date), and fb:sports.sports_team_roster.to (end date).

To find the team David Beckham played for before LA Galaxy, we need to:
1. Identify the team LA Galaxy.
2. Find the team roster entries for David Beckham.
3. Find the team roster entry that ended before the start of his time at LA Galaxy.

First, I will search for the entity corresponding to "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 entity for LA Galaxy is fb:m.01k2yr. Now I will write a query to find the teams David Beckham played for, along with the time periods, and then filter to find the team he played for immediately before LA Galaxy.

[Tool]
Got 9 rows and 4 columns:
| team                                                  | teamLabel                                    | from                  | to                    |
| ----------------------------------------------------- | -------------------------------------------- | --------------------- | --------------------- |
| Manchester United F.C. (fb:m.050fh)                   | Manchester United F.C. (en)                  | 1993 (xsd:gYear)      | 2003 (xsd:gYear)      |
| Preston North End F.C. (fb:m.027ffq)                  | Preston North End F.C. (en)                  | 1994 (xsd:gYear)      | 1995 (xsd:gYear)      |
| England national under-21 football team (fb:m.08gw0v) | England national under-21 football team (en) | 1994 (xsd:gYear)      | 1996 (xsd:gYear)      |
| England national football team (fb:m.02pp1)           | England national football team (en)          | 1996 (xsd:gYear)      | 2009 (xsd:gYear)      |
| Real Madrid C.F. (fb:m.06l22)                         | Real Madrid C.F. (en)                        | 2003 (xsd:gYear)      | 2007 (xsd:gYear)      |
| LA Galaxy (fb:m.01k2yr)                               | LA Galaxy (en)                               | 2007 (xsd:gYear)      | 2012 (xsd:gYear)      |
| A.C. Milan (fb:m.011v3)                               | A.C. Milan (en)                              | 2009 (xsd:gYear)      | 2009 (xsd:gYear)      |
| A.C. Milan (fb:m.011v3)                               | A.C. Milan (en)                              | 2010 (xsd:gYear)      | 2010 (xsd:gYear)      |
| Paris Saint-Germain F.C. (fb:m.01_1kk)                | Paris Saint-Germain F.C. (en)                | 2013-01-31 (xsd:date) | 2013-05-18 (xsd:date) |

[Assistant] David Beckham played for LA Galaxy from 2007 to 2012. The team he played for immediately before LA Galaxy is Real Madrid C.F., from 2003 to 2007. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the team David Beckham played for immediately before joining LA Galaxy by comparing the 'to' date of his previous team with the 'from' date of LA Galaxy. It returns the team's identifier and label, which is Real Madrid C.F., matching the human-readable answer. The query uses appropriate properties and filters, and the answer is accurate and complete. No further refinement is necessary.


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

Got 7 rows and 2 columns:
| organization                                    | organizationName                       |
| ----------------------------------------------- | -------------------------------------- |
| 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)      |

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 https://qlever.cs.uni-freiburg.de/api/freebase

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

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

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

[User] what did gloria steinem founded?

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

[Tool]
Example 1:
Question:
who started google?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.045c7b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.045c7b fb:organization.organization.founders ?x .
}

Using entities:
Google, also known as Google, Inc., Google Inc (fb:m.045c7b): Google is an American multinational technology company specializ...cquisitions and partnerships beyond Google's core search engine., Google Inc. (NASDAQ: GOOG) is an American multinational corporat...cts, acquisitions, and partnerships beyond the company's core..., has type Award Winner

Using properties:
Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema

Example 2:
Question:
who started google?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0387r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0387r fb:law.invention.inventor ?x .
}

Using entities:
Google Search, also known as Google.com, Google Web Search (fb:m.0387r): Google Search, commonly referred to as Google Web Search or just...ta, movie showtimes, airports, home listings, and sports scores., has type Brand

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

Example 3:
Question:
who is facebook's founder?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hmyfsv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hmyfsv fb:organization.organization.founders ?x .
}

Using entities:
Facebook, Inc., also known as Facebook, Facebook Inc. (fb:m.0hmyfsv): Facebook Inc. is an American company headquartered in Menlo Park , California. The company owns the social network Facebook ., has type Business Operation

Using properties:
Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema

[Assistant]
From the examples, it seems that the property "fb:organization.organization.founders" is used to find the founders of an organization. To answer the question "what did Gloria Steinem found?", I need to:

1. Find the entity for Gloria Steinem.
2. Find organizations or entities that Gloria Steinem founded using the property "fb:organization.organization.founders" but in reverse (i.e., find organizations where Gloria Steinem is a founder).

I will start by searching for the entity "Gloria Steinem" in the knowledge graph.

[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 entity for Gloria Steinem as a person is fb:m.01rnwj. Now I will search for properties related to founding or organizations associated with Gloria Steinem (fb:m.01rnwj) to find what she founded.

[Tool]
Top 10 property alternatives:
1. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
2. Dated (fb:base.popstra.celebrity.dated): part of Celebrity schema, links to type Dated
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] There are no direct properties related to founding or organizations founded by Gloria Steinem in the property search for the entity. I will try a different approach by searching for organizations or entities that have Gloria Steinem as a founder using the property "fb:organization.organization.founders" in reverse. I will query for organizations where Gloria Steinem (fb:m.01rnwj) is a founder.

[Tool]
Got 7 rows and 2 columns:
| organization                                    | organizationName                       |
| ----------------------------------------------- | -------------------------------------- |
| 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)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves organizations founded by Gloria Steinem using the appropriate property and entity identifier. The query returns the identifiers and English labels of the organizations, which matches the user's question. The answer lists all the organizations found in the query result, providing a complete and accurate response. No further refinement is necessary.