PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?startDate WHERE {
  fb:m.093xn8 fb:tv.tv_character.appeared_in_tv_program ?appearance .
  ?appearance fb:tv.regular_tv_appearance.series fb:m.03m8sg .
  ?appearance fb:tv.regular_tv_appearance.from ?startDate .
}
ORDER BY ?startDate
LIMIT 1

Ziva David started on NCIS on September 20, 2005.

[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] when does ziva start on ncis?

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

[Tool]
Example 1:
Question:
when did mcgee start on ncis?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03m8sg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03m8sg fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.seasons ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.07wpd_ .
  ?x fb:tv.tv_series_season.from ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
NCIS, also known as Navy NCIS: Naval Criminal Investigative Service, N.C.I.S (fb:m.03m8sg): NCIS is an American police procedural drama television series, r...eason eleven led to a second spin-off series, NCIS: New Orleans., has type Award-Winning Work
Timothy McGee (fb:m.07wpd_): Timothy "Tim" McGee is a fictional character from the CBS televi...e cast in the beginning of season two. His nickname is "McGeek"., has type TV Character

Using properties:
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
From (fb:tv.tv_series_season.from): part of TV Season schema, links to type Date/Time

Example 2:
Question:
when did mcgee join the ncis team?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07wpd_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07wpd_ fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.from ?x .
  ?y fb:tv.regular_tv_appearance.series fb:m.03m8sg .
}

Using entities:
NCIS, also known as Navy NCIS: Naval Criminal Investigative Service, N.C.I.S (fb:m.03m8sg): NCIS is an American police procedural drama television series, r...eason eleven led to a second spin-off series, NCIS: New Orleans., has type Award-Winning Work
Timothy McGee (fb:m.07wpd_): Timothy "Tim" McGee is a fictional character from the CBS televi...e cast in the beginning of season two. His nickname is "McGeek"., has type TV Character

Using properties:
From (fb:tv.regular_tv_appearance.from): part of TV Regular Performance schema, links to type Date/Time
Series (fb:tv.regular_tv_appearance.series): part of TV Regular Performance schema, links to type TV Program
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 3:
Question:
when did sean murray first appear on ncis?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0c5hsk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0c5hsk fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.from ?x .
  ?y fb:tv.regular_tv_appearance.series fb:m.03m8sg .
}

Using entities:
NCIS, also known as Navy NCIS: Naval Criminal Investigative Service, N.C.I.S (fb:m.03m8sg): NCIS is an American police procedural drama television series, r...eason eleven led to a second spin-off series, NCIS: New Orleans., has type Award-Winning Work
Sean Murray, also known as Sean Harland Murray (fb:m.0c5hsk): Sean Harland Murray is an Australian-American actor who first ga...ghly popular American TV drama, NCIS which is a spin-off of JAG., Sean Murray is an actor., has type TV Actor

Using properties:
From (fb:tv.regular_tv_appearance.from): part of TV Regular Performance schema, links to type Date/Time
Series (fb:tv.regular_tv_appearance.series): part of TV Regular Performance schema, links to type TV Program
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

[Assistant] The examples show that the property fb:tv.regular_tv_appearance.from is used to indicate when a character started appearing in a TV series. The entity for NCIS is fb:m.03m8sg. Now, I need to find the entity for the character Ziva on NCIS and then query when she started on the show. I will first search for the entity "Ziva" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. NCIS, also known as Navy NCIS: Naval Criminal Investigative Service, N.C.I.S (fb:m.03m8sg): NCIS is an American police procedural drama television series, r...eason eleven led to a second spin-off series, NCIS: New Orleans., has type Award-Winning Work
2. Živa (fb:m.03sxqs): Živa, also Żiwia, Siva, Sieba or Razivia, was the Slavic goddess...vica, an epic poem by the Slovene national poet France Prešeren.
3. NCIS - Season 3, also known as NCIS (fb:m.05df6zw): The third season of the police procedural drama NCIS was origina... new NCIS Director Jenny Shepard, and Mossad Officer Ziva David., has type TV Season
4. NCIS - Season 1, also known as NCIS (fb:m.05df6zs): The first season of the American police procedural drama NCIS wa...t Caitlin Todd as Special Agent Vivian Blackadder's replacement., has type TV Season
5. NCIS - Season 2, also known as NCIS (fb:m.05df6zz): The second season of the police procedural drama NCIS was origin...expected twist: Caitlin Todd was shot and killed by Ari Haswari., has type TV Season
6. NCIS - Season 6, also known as NCIS (fb:m.05df6zh): The sixth season of the police procedural drama NCIS premiered o...ter go on to appear in the spin-off TV series NCIS: Los Angeles., has type TV Season
7. NCIS - Season 7, also known as NCIS (fb:m.06gtgs2): The seventh season of the police procedural drama NCIS premiered...nsible for killing Gibbs' first wife Shannon and daughter Kelly., has type TV Season
8. NCIS - Season 4, also known as NCIS (fb:m.05df6zp): The fourth season of the police procedural drama NCIS was origin...e the series due to a disagreement with series star Mark Harmon., has type TV Season
9. NCIS - Season 9, also known as NCIS (fb:m.0jxg0xl): The ninth season of the police procedural drama NCIS premiered o...hat Vance would unknowingly deliver a car bomb to the Navy Yard., has type TV Season
10. NCIS - Season 5, also known as NCIS (fb:m.05df6zl): The fifth season of the police procedural drama NCIS premiered o...e normal 37–44 seconds that was present in the previous seasons., has type TV Season

[Assistant] The search for "Ziva NCIS" did not directly return an entity for the character Ziva David from NCIS. I will try searching just for "Ziva David" to see if the character entity is available under that name.

[Tool]
Top 10 entity alternatives:
1. Mossad Agent Ziva David, also known as Ziva David, Special Agent Ziva David (fb:m.093xn8): Ziva David is a fictional character from the CBS television seri...g to become an NCIS agent, and being sworn in as a U.S. citizen., has type TV Character
2. Ziva David captivity storyline (fb:m.0wxzg4g): The Ziva David captivity storyline refers to a series of episode...l Jewish critics and columnists, who discussed its implications.
3. Tony DiNozzo and Ziva David (fb:m.0w1ff7n): Tony DiNozzo and Ziva David are fictional characters from the Am...a being taken captive and presumed dead between Seasons 6 and 7.
4. David, also known as King David (fb:m.02cvn): David was, according to the books of Samuel, the second king of ...ed to a more developed and urbanized Samaria, capital of Israel., has type Religious Leader
5. Edward VIII of the United Kingdom, also known as The Duke of Windsor, King Edward VIII, Edward VIII, Edward, Duke of Windsor, Edward Albert Christian George Andrew Patrick David Wettin (fb:m.0cms2): Edward VIII was King of the United Kingdom and the Dominions of ...t a divorced woman with two living ex-husbands as queen consort., has type Monarch
6. David Arquette, also known as David, David James Arquette (fb:m.02v60l): David Arquette is an American actor, film director, producer, sc...g pivotal to the degradation of the title and the demise of WCW., has type Celebrity
7. Ki Sung-yueng, also known as Kirrard, Sungyueng Ki, Sung-Yong Ki, Ki Sung-Yeung, Ki Sung Yeung (fb:m.02zbjhq): Ki Sung-yueng is a South Korean professional footballer who curr... City Player of the Year as he netted 8 goals in 36 appearances., has type Football player
8. David (fb:m.0953j): David is a masterpiece of Renaissance sculpture created between ... 1873, and later replaced at the original location by a replica., has type Artwork
9. David Zucker, also known as David, zucknuckle, Kentucky Fried Theatre, David S. Zucker (fb:m.0362q0): David S. Zucker is an American film director, producer, and scre...atest work to be Airplane!, which has brought on many accolades., has type Film director
10. David Gallagher, also known as David, David Lee Gallagher (fb:m.026n38): David Lee Gallagher is an American actor. Beginning a prolific c...n for the voice of Riku in the Kingdom Hearts video game series., has type Award Winner

[Assistant] I found the entity for Mossad Agent Ziva David, a fictional character from the CBS television series NCIS. The entity is fb:m.093xn8. Now I will query when Ziva David started appearing on NCIS (fb:m.03m8sg) using the property fb:tv.regular_tv_appearance.from.

[Tool]
Got 1 row and 1 column:
| startDate             |
| --------------------- |
| 2005-09-20 (xsd:date) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?causeOfDeath WHERE {
  fb:m.01w2x6z fb:people.deceased_person.cause_of_death ?causeOfDeath .
}

Got 1 row and 1 column:
| causeOfDeath                |
| --------------------------- |
| Drug overdose (fb:m.01tf_6) |

Shannon Hoon died from a drug overdose.

[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 shannon hoon die from?

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

[Tool]
Example 1:
Question:
what did brittany murphy died of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0168dy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0168dy fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Brittany Murphy, also known as Murphy, Brittany, Brittany Bertolotti, Brittany Anne Murphy-Monjack, Brittany Anne Murphy, Brittany Anne Bertolotti (fb:m.0168dy): Brittany Murphy-Monjack, known professionally as Brittany Murphy...l. Her final film, Something Wicked, was released in April 2014., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
what did whitney houston die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.086qd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.086qd fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Whitney Houston, also known as Houston, Whitney, Nippy, The Prom Queen of Soul, The Voice, Whitney Elizabeth Houston (fb:m.086qd): Whitney Elizabeth Houston was an American singer, actress, produ...4 on the magazine's list of the 500 Greatest Albums of All Time., has type Musical Artist

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
what did anna nicole smith died from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hwfl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hwfl fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Anna Nicole Smith, also known as Vicki Smith, Vickie Smith, Vickie Lynn Marshall, Vickie Lynn Hogan, Vickie Hogan (fb:m.0hwfl): Anna Nicole Smith was an American model, actress, and television...ernity and custody battle over her newborn daughter, Dannielynn., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant] From the similar examples, it appears that the property "fb:people.deceased_person.cause_of_death" is used to find the cause of death of a person. Next, I will search for the entity "Shannon Hoon" in the knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Shannon Hoon, also known as Hoon, Shannon (fb:m.01w2x6z): Richard Shannon Hoon was an American singer-songwriter and music...and Blind Melon until his death from a cocaine overdose in 1995., has type Composer
2. How Shannon Hoon Died (fb:g.11btzwj02y)
3. Gravesite of Shannon Hoon (fb:m.03smtq6)
4. How Shannon Hoon Died (fb:g.11btzxjsyb)
5. The Night Shannon Hoon Died (fb:m.0nmf53k): has type Musical Recording
6. The Night Shannon Hoon Died (fb:m.0nt465l)
7. Shannon, also known as Brenda Shannon Greene, Todd Terry presents Shannon (fb:m.03f06ct): Shannon Brenda Greene, better known by the mononym Shannon, is a...annon's most recent album is A Beauty Returns, released in 2007., has type Musical Artist
8. Shannon, also known as Lee County / Shannon town, Shannon, Mississippi (fb:m.0wqw5): Shannon is a town in Lee County, Mississippi. The population was...5, west of U.S. Route 45. Chiwapa Creek flows south of the town., has type City/Town/Village
9. Shannon, also known as Carroll County / Shannon village, Shannon, Illinois (fb:m.0s3lf): Shannon is a village in Carroll County, Illinois, United States. The population was 757 at the 2010 census, down from 854 in 2000., has type City/Town/Village
10. Shannon, also known as Shannon, North Carolina, Robeson County / Shannon CDP (fb:m.0yk9h): Shannon is a census-designated place in Robeson County, North Carolina, United States. The population was 197 at the 2000 census., has type US Census Designated Place

[Assistant] The entity for Shannon Hoon is fb:m.01w2x6z. Based on the similar examples, the property for cause of death is fb:people.deceased_person.cause_of_death. I will now construct a SPARQL query to find the cause of death for Shannon Hoon using these.

[Tool]
Got 1 row and 1 column:
| causeOfDeath                |
| --------------------------- |
| Drug overdose (fb:m.01tf_6) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?employment ?employer ?employerLabel WHERE {
  VALUES ?employment {
    fb:m.040vj_k fb:m.040vj_w fb:m.040vk04
  }
  ?employment fb:business.employment_tenure.company ?employer .
  OPTIONAL {
    ?employer rdfs:label ?employerLabel FILTER ( lang( ?employerLabel ) = 'en' )
  }
}

Got 3 rows and 3 columns:
| employment   | employer                                    | employerLabel                     |
| ------------ | ------------------------------------------- | --------------------------------- |
| fb:m.040vj_k | Josiah Franklin (fb:m.0dw1k2)               | Josiah Franklin (en)              |
| fb:m.040vj_w | United States Postal Service (fb:m.0dcms)   | United States Postal Service (en) |
| fb:m.040vk04 | James Franklin Printing Shop (fb:m.040vjzl) | James Franklin Printing Shop (en) |

Benjamin Franklin worked at Josiah Franklin, United States Postal Service, and James Franklin Printing Shop.

[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] where did benjamin franklin work?

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

[Tool]
Example 1:
Question:
what jobs did ben franklin do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.person.profession ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
what other jobs did benjamin franklin have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.person.profession ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 3:
Question:
where did benjamin franklin died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant]
The similar examples suggest that Benjamin Franklin is identified as fb:m.019fz in Freebase. The examples also show that the property fb:people.person.profession is used to find jobs or professions of a person. However, the question is about where Benjamin Franklin worked, which is more about the location or organization of his work rather than his profession.

I will first search for properties related to "work" or "employer" for Benjamin Franklin (fb:m.019fz) to find the appropriate property that indicates where he worked.

[Tool]
Top 10 property alternatives:
1. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
2. Profession (fb:people.person.profession): links to type Profession, part of Person schema
3. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
4. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
5. Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
8. Employment history (fb:people.person.employment_history): links to type Employment tenure, part of Person schema
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant]
The property "Employment history" (fb:people.person.employment_history) seems to be the most relevant to answer the question "where did Benjamin Franklin work?" as it links to employment tenure information.

I will now query the employment history of Benjamin Franklin using this property.

[Tool]
Got 3 rows and 1 column:
| employment   |
| ------------ |
| fb:m.040vj_k |
| fb:m.040vj_w |
| fb:m.040vk04 |

[Assistant] Benjamin Franklin has three employment history entries. I will now query the details of these employment tenures to find out where he worked. I will look for the employer or organization associated with these employment tenures.

[Tool] Got no rows and 3 columns

[Assistant]
The query to get the employer for the employment history entries returned no results. It is possible that the property for employer is different or the data is structured differently.

I will now explore the properties of one of the employment history entries (fb:m.040vj_k) to see what information is available about it.

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.040vj_k | Type (fb:type.object.type)                       | Employment tenure (fb:business.employment_tenure) |
| fb:m.040vj_k | Person (fb:business.employment_tenure.person)    | Benjamin Franklin (fb:m.019fz)                    |
| fb:m.040vj_k | Employer (fb:business.employment_tenure.company) | Josiah Franklin (fb:m.0dw1k2)                     |
| fb:m.040vj_k | From (fb:business.employment_tenure.from)        | 1716 (xsd:gYear)                                  |
| fb:m.040vj_k | To (fb:business.employment_tenure.to)            | 1718 (xsd:gYear)                                  |
| fb:m.040vj_k | rdf:type                                         | Employment tenure (fb:business.employment_tenure) |

[Assistant]
The property for employer in the employment tenure is fb:business.employment_tenure.company. For the employment tenure fb:m.040vj_k, the employer is Josiah Franklin (fb:m.0dw1k2).

I will now query the employers for all three employment history entries using this property.

[Tool]
Got 3 rows and 3 columns:
| employment   | employer                                    | employerLabel                     |
| ------------ | ------------------------------------------- | --------------------------------- |
| fb:m.040vj_k | Josiah Franklin (fb:m.0dw1k2)               | Josiah Franklin (en)              |
| fb:m.040vj_w | United States Postal Service (fb:m.0dcms)   | United States Postal Service (en) |
| fb:m.040vk04 | James Franklin Printing Shop (fb:m.040vjzl) | James Franklin Printing Shop (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?event ?eventLabel ?endDate WHERE {
  fb:m.0f_wg3n fb:sports.sports_team.championships ?event .
  OPTIONAL {
    ?event fb:time.event.end_date ?endDate .
  }
  OPTIONAL {
    ?event rdfs:label ?eventLabel .
    FILTER ( lang( ?eventLabel ) = "en" )
  }
}
ORDER BY DESC ( ?endDate )
LIMIT 5

The knowledge graph does not contain direct information about the LA Kings' playoff series wins or championships. Attempts to find properties related to playoff series or championships for the LA Kings entity returned no results. Therefore, I cannot provide a SPARQL query that answers the question accurately with the available data.

[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] when was the last time the la kings won a playoff series?

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

[Tool]
Example 1:
Question:
when did kings last win stanley cup?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jnq8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jnq8 fb:sports.sports_team.championships ?x .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Los Angeles Kings, also known as Los Angeles Kings Hockey Club (fb:m.0jnq8): The Los Angeles Kings are a professional ice hockey team based i...of the franchise that raised hockey's popularity in Los Angeles., Los Angeles Kings Hockey Club  is a 2013 Telly Award winner., has type Professional Sports Team

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

Example 2:
Question:
when was the last time the san francisco giants won a world series?

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.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

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:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 3:
Question:
when did the lakers win the championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jmk7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jmk7 fb:sports.sports_team.championships ?x .
}

Using entities:
Los Angeles Lakers, also known as The Lakers, Showtime, Minneapolis Lakers, LA Lakers, Lakers (fb:m.0jmk7): The Los Angeles Lakers are an American professional basketball t...Lakers in honor of the state's nickname, "Land of 10,000 Lakes"., has type Professional Sports Team

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

[Assistant]
From the examples, it seems the property fb:sports.sports_team.championships links a sports team to the championships it has won, and these championship events have start or end dates. However, the question is about the last time the LA Kings won a playoff series, which is not necessarily the same as winning a championship.

I will first search for the entity representing the LA Kings to confirm its identifier in the knowledge graph. Then I will look for properties related to playoff series or playoff wins for this team.

[Tool]
Top 10 entity alternatives:
1. LA Kings, also known as Cupcake Wars: LA Kings, LA Kings (fb:m.0f_wg3n): Four gifted cupcake bakers battle for the chance to have their t... Night Fan Fest to celebrate the start of the new hockey season., has type Competition
2. Latin Kings (fb:m.03x08w): The Almighty Latin King and Queen Nation is the largest and one ...expanded during a period of increased migration to the mainland., has type Organization
3. Kings Langley (fb:m.0277dy): Kings Langley is a historic village and civil parish in Hertford...s Langel' Regis in 1254. The name means 'long wood or clearing'., has type City/Town/Village
4. Latin kings of Alba Longa, also known as Latin kings (fb:m.025w1nq): The Latin kings of Alba Longa, also referred to as the Latin kin... of this line were brought in from neighboring Etruria to reign.
5. Kings Langley, also known as Kings Langley, New South Wales (fb:m.07kcyz): Kings Langley is a suburb of Sydney, in the state of New South W...own. Kings Langley is part of the Greater Western Sydney region., has type Australian Suburb
6. Latin Kings (fb:m.03fg2rj): has type Musical Release
7. Kings Lake (fb:m.0yqj_kq): Kings Lake was an American bred, Irish-trained Thoroughbred race...end of the season and had moderate success as a sire of winners., has type Pedigreed animal
8. Kings Landing, also known as Kings Landing, North Carolina (fb:m.04b6j7s): has type City/Town/Village
9. Kings Lake, also known as Kings Lake, Missouri (fb:m.04b1ypt): has type City/Town/Village
10. Kings Landing, also known as Kings Landing, Michigan (fb:m.049_tsh): has type City/Town/Village

[Assistant] The entity "LA Kings" with the identifier fb:m.0f_wg3n corresponds to the LA Kings hockey team. Next, I will search for properties related to playoff series or playoff wins for this entity to find relevant information about their playoff series wins.

[Tool]
Top 10 property alternatives:
1. Type of competition (fb:award.competition.type_of_competition): links to type Competition type, part of Competition schema
2. Series (fb:tv.tv_series_episode.series): part of TV Episode schema, links to type TV Program
3. Instance of recurring competition (fb:award.competition.instance_of_recurring_competition): links to type Recurring competition, part of Competition schema
4. Season (fb:tv.tv_series_episode.season): part of TV Episode schema, links to type TV Season
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Season number (fb:tv.tv_series_episode.season_number): part of TV Episode schema, links to type Integer
7. Previous episode (fb:tv.tv_series_episode.previous_episode): part of TV Episode schema, links to type TV Episode
8. Next episode (fb:tv.tv_series_episode.next_episode): part of TV Episode schema, links to type TV Episode
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant] There are no direct properties related to playoff series or playoff wins for the LA Kings entity. I will try to find the championships or playoff events the LA Kings have won by checking the championships property for the LA Kings entity. This might give us the playoff series wins or at least the championships won.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct championship records listed for the LA Kings under the property fb:sports.sports_team.championships. I will try to search for the property "playoff series" in general to see if there is any relevant property that might indicate playoff series wins.

[Tool]
Top 10 property alternatives:
1. Games In Series (fb:cvg.game_series.games_in_series): part of Video Game Series schema, links to type Video game
2. Games in series (fb:user.pak21.default_domain.game_series.games_in_series): links to type Part of game series, part of Game series schema
3. Play off results (fb:base.x2010fifaworldcupsouthafrica.world_cup_participation.play_off_results): part of World Cup Participation schema, links to type Play off results
4. Play off results (fb:base.x2010fifaworldcupsouthafrica.play_off_qualifier.play_off_results): part of Play off qualifier schema, links to type Play off results
5. Second round game one (fb:base.x2010fifaworldcupsouthafrica.world_cup_play_off.second_round_game_one): part of World cup play off schema, links to type Play off results
6. Championships Series (fb:base.athletics.athletics_area.championships): links to type Athletics Championships Series, part of Athletics Area schema
7. Play-off against (fb:base.x2010fifaworldcupsouthafrica.world_cup_qualification.play_off_against): links to type 2010 World Cup Spot Allocation, part of World cup qualification schema
8. Series Event (fb:cricket.cricket_match.series_event): links to type Cricket Series Event, part of Cricket Match schema
9. Qualification Play off (fb:base.x2010fifaworldcupsouthafrica.fifa_world_cup.qualification_play_off): links to type World cup play off, part of FIFA World Cup schema
10. Standings (fb:base.triathlon.triathlon_race_event.standings): part of Triathlon Race Event schema, links to type Triathlon Result

[Assistant]
There is no direct property for "playoff series wins" for hockey teams. The closest relevant property is "play off results" but it seems to be related to World Cup participation, which is not relevant for NHL hockey.

I will try a different approach: I will search for the last playoff series wins of the LA Kings by looking for events or matches where the LA Kings were involved and won in the playoffs. I will start by searching for properties related to "playoff" for the LA Kings entity.

[Tool]
Top 10 property alternatives:
1. Type of competition (fb:award.competition.type_of_competition): links to type Competition type, part of Competition schema
2. Series (fb:tv.tv_series_episode.series): part of TV Episode schema, links to type TV Program
3. Instance of recurring competition (fb:award.competition.instance_of_recurring_competition): links to type Recurring competition, part of Competition schema
4. Season (fb:tv.tv_series_episode.season): part of TV Episode schema, links to type TV Season
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Season number (fb:tv.tv_series_episode.season_number): part of TV Episode schema, links to type Integer
7. Previous episode (fb:tv.tv_series_episode.previous_episode): part of TV Episode schema, links to type TV Episode
8. Next episode (fb:tv.tv_series_episode.next_episode): part of TV Episode schema, links to type TV Episode
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
There are no direct properties related to playoff or playoff series for the LA Kings entity. Since the direct approach is not yielding results, I will try to find the last playoff series win by looking for events or matches where the LA Kings participated and won in the playoffs.

I will search for the LA Kings' games or matches in the playoffs and check their results. I will start by searching for properties related to games or matches for the LA Kings.

[Tool]
Top 10 property alternatives:
1. Series (fb:tv.tv_series_episode.series): part of TV Episode schema, links to type TV Program
2. Type of competition (fb:award.competition.type_of_competition): links to type Competition type, part of Competition schema
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Season (fb:tv.tv_series_episode.season): part of TV Episode schema, links to type TV Season
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Instance of recurring competition (fb:award.competition.instance_of_recurring_competition): links to type Recurring competition, part of Competition schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Next episode (fb:tv.tv_series_episode.next_episode): part of TV Episode schema, links to type TV Episode
10. Previous episode (fb:tv.tv_series_episode.previous_episode): part of TV Episode schema, links to type TV Episode

No other items found

[Assistant]
There are no direct properties related to games or matches for the LA Kings entity either. Given the limitations in the properties and data available for the LA Kings in this knowledge graph, it seems difficult to directly find the last time the LA Kings won a playoff series.

I will try one last approach: I will search for the last championship or playoff event the LA Kings won by looking for events related to the team and sorting by date to find the most recent one. I will query for events related to the LA Kings and check if any are playoff series wins.

[Tool] Got no rows and 3 columns

[Assistant]
There are no championship events listed for the LA Kings in the knowledge graph, so I cannot find the last playoff series win directly from championships.

Given the data limitations, I cannot find a direct answer to when the LA Kings last won a playoff series from this knowledge graph.

I will provide this explanation and my best attempt at a SPARQL query that tries to find championships for the LA Kings but yields no results.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  fb:m.02m29p fb:tv.tv_character.appeared_in_tv_program ?performance .
  ?performance fb:tv.regular_tv_appearance.actor ?actor .
  ?performance fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = 'en' )
  }
}

The voice of Stewie Griffin is made by Seth MacFarlane.

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

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

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

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

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

[User] who makes the voice of stewie griffin?

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

[Tool]
Example 1:
Question:
who has the voice of stewie griffin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02m29p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02m29p fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
}

Using entities:
Stewie Griffin, also known as Stewart Gilligan Griffin (fb:m.02m29p): Stewart Gilligan "Stewie" Griffin is a main character from the a...Wizard magazine rated him the 95th greatest villain of all time., has type Film character
Voice (fb:m.02nsjvf): A voice performance (on film, television, etc.) is one in which ... when an actor's voice is dubbed in over another actor's speech., has type Special film performance type

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Special performance type (fb:tv.regular_tv_appearance.special_performance_type): links to type Special TV performance type, part of TV Regular Performance schema
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 2:
Question:
who plays stewie griffin's voice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02m29p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02m29p fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
}

Using entities:
Stewie Griffin, also known as Stewart Gilligan Griffin (fb:m.02m29p): Stewart Gilligan "Stewie" Griffin is a main character from the a...Wizard magazine rated him the 95th greatest villain of all time., has type Film character
Voice (fb:m.02nsjvf): A voice performance (on film, television, etc.) is one in which ... when an actor's voice is dubbed in over another actor's speech., has type Special film performance type

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Special performance type (fb:tv.regular_tv_appearance.special_performance_type): links to type Special TV performance type, part of TV Regular Performance schema
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 3:
Question:
who is the voice of stewie griffin from family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.02m29p .
  ?y fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
  FILTER ( NOT EXISTS {
    ?y fb:tv.regular_tv_appearance.from ?sk0
  }
  || EXISTS {
    ?y fb:tv.regular_tv_appearance.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:tv.regular_tv_appearance.to ?sk2
  }
  || EXISTS {
    ?y fb:tv.regular_tv_appearance.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Stewie Griffin, also known as Stewart Gilligan Griffin (fb:m.02m29p): Stewart Gilligan "Stewie" Griffin is a main character from the a...Wizard magazine rated him the 95th greatest villain of all time., has type Film character
Voice (fb:m.02nsjvf): A voice performance (on film, television, etc.) is one in which ... when an actor's voice is dubbed in over another actor's speech., has type Special film performance type

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
From (fb:tv.regular_tv_appearance.from): part of TV Regular Performance schema, links to type Date/Time
Special performance type (fb:tv.regular_tv_appearance.special_performance_type): links to type Special TV performance type, part of TV Regular Performance schema
To (fb:tv.regular_tv_appearance.to): part of TV Regular Performance schema, links to type Date/Time
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

[Assistant]
From the similar examples, it appears that Stewie Griffin is represented by the entity fb:m.02m29p in Freebase. The voice performance is indicated by the special performance type fb:m.02nsjvf. The property fb:tv.regular_tv_appearance.actor links to the actor who provides the voice.

I will now construct a SPARQL query to find the actor who makes the voice of Stewie Griffin using these insights.

[Tool]
Got 1 row and 2 columns:
| actor                         | actorLabel           |
| ----------------------------- | -------------------- |
| Seth MacFarlane (fb:m.021yw7) | Seth MacFarlane (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0d3k14 fb:people.deceased_person.place_of_burial ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( lang( ?placeLabel ) = 'en' )
  }
}

President John F. Kennedy is buried at Arlington National Cemetery.

[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] where is president kennedy buried?

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

[Tool]
Example 1:
Question:
where was ted kennedy buried?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0194xc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0194xc fb:people.deceased_person.place_of_burial ?x .
}

Using entities:
Ted Kennedy, also known as Senator Ted Kennedy of Massachussetts, Sen Edward Kennedy, Sen. Edward Kennedy, Sen. Edward M. Kennedy, Sen. Ted Kennedy (fb:m.0194xc): Edward Moore "Ted" Kennedy was a United States Senator from Mass...red his chances of ever becoming President of the United States., has type U.S. Congressperson

Using properties:
Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema

Example 2:
Question:
where was abraham lincoln buried?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gzh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gzh fb:people.deceased_person.place_of_burial ?x .
}

Using entities:
Abraham Lincoln, also known as The Sage of Springfield, The Great Emancipator, The Illinois Baboon, The Jester, The Martyr President (fb:m.0gzh): Abraham Lincoln /ˈeɪbrəhæm ˈlɪŋkən/ was the 16th President of th...ew Republican Party, which had a statewide majority in Illinois., has type US President

Using properties:
Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema

Example 3:
Question:
in which city was president kennedy killed?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d3k14 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d3k14 fb:people.deceased_person.place_of_death ?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.
John F. Kennedy, also known as President John F. Kennedy  , John F. (John Fitzgerald) Kennedy, John Kennedy, Johnny, President John F Kennedy (fb:m.0d3k14): John Fitzgerald Kennedy (May 29, 1917 – November 22, 1963), also...ican hopes and aspirations to every new generation of Americans., John Fitzgerald Kennedy, commonly known as Jack Kennedy or by hi...the first person born in the 20th century to serve as president., has type US President

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant] From the similar examples, we see that the entity for President John F. Kennedy is fb:m.0d3k14 and the property for place of burial is fb:people.deceased_person.place_of_burial. I will now write a SPARQL query to find where President Kennedy is buried using these.

[Tool]
Got 1 row and 2 columns:
| place                                    | placeLabel                       |
| ---------------------------------------- | -------------------------------- |
| Arlington National Cemetery (fb:m.0lbp_) | Arlington National Cemetery (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?currency ?currencyLabel WHERE {
  fb:m.01znc_ fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| currency                   | currencyLabel     |
| -------------------------- | ----------------- |
| Turkish lira (fb:m.04dq0w) | Turkish lira (en) |

The best currency to take to Turkey is the official currency used there, which is the Turkish lira.

[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 best currency to take to turkey?

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

[Tool]
Example 1:
Question:
what currency do i take to turkey?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01znc_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01znc_ fb:location.country.currency_used ?x .
}

Using entities:
Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 2:
Question:
what currency to take to side turkey?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01znc_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01znc_ fb:location.country.currency_used ?x .
}

Using entities:
Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 3:
Question:
what currency does turkey accept?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01znc_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01znc_ fb:location.country.currency_used ?x .
}

Using entities:
Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant] The best currency to take to Turkey is typically the official currency used in the country. From the similar examples, the property "currency_used" for the entity "Turkey" can give us the official currency of Turkey. I will now write a SPARQL query to find the currency used in Turkey.

[Tool]
Got 1 row and 2 columns:
| currency                   | currencyLabel     |
| -------------------------- | ----------------- |
| Turkish lira (fb:m.04dq0w) | Turkish lira (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?location ?locationName WHERE {
  fb:m.0ccd96 fb:time.event.locations ?location .
  OPTIONAL {
    ?location fb:type.object.name ?locationName
  }
}

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                     | locationName          |
| ---------------------------- | --------------------- |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (de)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (en)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (fr)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (sv)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Limanı (tr)    |
| ...                          | ...                   |
| Boston Harbor (fb:m.04n7kgz) | Puerto de Boston (es) |
| Boston Harbor (fb:m.04n7kgz) | Бостонская бухта (ru) |
| Boston Harbor (fb:m.04n7kgz) | Бостонська бухта (uk) |
| Boston Harbor (fb:m.04n7kgz) | ميناء بوسطن (ar)      |
| Boston Harbor (fb:m.04n7kgz) | 보스턴 항 (ko)            |

The Boston Tea Party event took place at Boston Harbor.

[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] where was the boston tea party 1773?

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

[Tool]
Example 1:
Question:
what political party was henry clay?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ct18 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ct18 fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Henry Clay (fb:m.0ct18): Henry Clay, Sr. was an American lawyer, politician, and skilled ... Texas, fearing it would inject the slavery issue into politics., has type U.S. Congressperson

Using properties:
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

Example 2:
Question:
what city was woodstock held in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.085kv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.085kv fb:time.event.locations ?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.
Woodstock, also known as woodstock, woodstock music festival (fb:m.085kv): The Woodstock Music & Art Fair—informally, the Woodstock Festiva...e event and became a major hit for Crosby, Stills, Nash & Young., has type Award-Winning Work

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

Example 3:
Question:
what state did henry clay represent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ct18 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ct18 fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.district_represented ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Henry Clay (fb:m.0ct18): Henry Clay, Sr. was an American lawyer, politician, and skilled ... Texas, fearing it would inject the slavery issue into politics., has type U.S. Congressperson
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
District represented (if position is district-related) (fb:government.government_position_held.district_represented): part of Government Position Held schema, links to type Political District
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

[Assistant] The similar example about "what city was woodstock held in?" uses the property fb:time.event.locations to find the location of an event. I will now search for the entity "Boston Tea Party 1773" in the knowledge graph to find its identifier.

[Tool]
Top 10 entity alternatives:
1. Boston Tea Party, 1773 (fb:m.0bn_10k)
2. The Boston Tea Party, December 1773 (fb:m.068l5td): has type Book
3. Boston Tea Party, 1773--Juvenile literature (fb:m.0bqjbbz)
4. Boston Tea Party (Restaged) (December 16, 1773) (fb:m.0nd1p7w): has type TV Episode
5. Boston Tea Party (fb:m.0ccd96): The Boston Tea Party was a political protest by the Sons of Libe... not by a British parliament in which they were not represented., has type Event
6. Boston Tea Party (fb:m.0gfw557): Boston Tea Party is a Swedish infotainment television program is...adcast on Kanal 5 hosted by Fredrik Wikingsson and Filip Hammar., Boston Tea Party is a Swedish TV program., has type TV Program
7. Boston Tea Party (fb:m.0fj7lw): The Boston Tea Party was a U.S. political party named after the ... issues of today". The party effectively disbanded in July 2012., has type Political party
8. Boston Tea Party (fb:m.0flmtw6): has type Musical Release
9. Boston Tea Party (fb:m.010btx4): has type Musical Recording
10. Boston Tea Party (fb:m.03c_g3t): The Boston Tea Party was a concert venue located at 53 Berkeley ... Francisco's Fillmore West, and Philadelphia's Electric Factory., has type Structure

[Assistant] There are multiple entities related to "Boston Tea Party," but the most relevant one for the historical event in 1773 seems to be "Boston Tea Party, 1773" with the identifier fb:m.0bn_10k. I will now check the properties of this entity to find the property that indicates its location.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Broader (fb:base.skosbase.skos_concept.broader): part of SKOS Concept schema, links to type SKOS Concept
5. Preferred Label (fb:base.skosbase.skos_concept.pref_label): part of SKOS Concept schema, links to type Text
6. In Scheme (fb:base.skosbase.skos_concept.in_scheme): links to type SKOS Concept Scheme, part of SKOS Concept schema

No other items found

[Assistant] The entity "Boston Tea Party, 1773" does not seem to have a direct property labeled "location." I will try searching for properties related to "place" for this entity to see if there is a property indicating where the event took place.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Broader (fb:base.skosbase.skos_concept.broader): part of SKOS Concept schema, links to type SKOS Concept
5. In Scheme (fb:base.skosbase.skos_concept.in_scheme): links to type SKOS Concept Scheme, part of SKOS Concept schema
6. Preferred Label (fb:base.skosbase.skos_concept.pref_label): part of SKOS Concept schema, links to type Text

No other items found

[Assistant] There are no direct properties related to "place" or "location" for the entity "Boston Tea Party, 1773." I will try a different approach by searching for properties related to "location" or "place" in general to see if there is a common property used for events' locations.

[Tool]
Top 10 property alternatives:
1. Location (fb:base.localfood.produce_availability.location): links to type Food producing region, part of Produce availability schema
2. Location (fb:base.arthist.int_zm_nyek.helynev): part of Intézmények schema, links to type Helynevek
3. Location (fb:base.militaryinfiction.event_in_fiction.location): links to type Location in Fiction, part of Event in Fiction schema
4. Location (fb:user.robert.earthquakes.earthquake_nearest_location.location): part of Earthquake nearest location schema, links to type Earthquake epicenter
5. location (fb:base.cimis.weather_station.location): part of Weather Station schema, links to type Geocode
6. Location (fb:base.virology.biological_sample.location): part of Biological Sample schema, links to type Location
7. Location (fb:fictional_universe.event_in_fiction.location): links to type Fictional Setting, part of Event in fiction schema
8. Location (fb:base.litcentral.source_feature_taxa.location): part of Source feature taxa schema, links to type Focal location
9. Location (fb:user.alecf.car_sharing.vehicle_location_value.location): part of Vehicle Location Value schema, links to type Share Location
10. Location (fb:broadcast.content.location): part of Broadcast Content schema, links to type Location

[Assistant] The property fb:base.militaryinfiction.event_in_fiction.location seems to be related to events in fiction, which is not relevant here. None of the other location properties seem directly relevant to historical events. I will try searching for properties related to "event location" to see if there is a more specific property for events.

[Tool]
Top 10 property alternatives:
1. Location of events (fb:base.events.event_feed.location_of_events): links to type Location of events, part of Event feed schema
2. Venue(s) (fb:user.micahsaul.default_domain.music_festival.venue_s): links to type Performance Venue, part of Music Festival schema
3. Venue (fb:user.deizel.default_domain.event.venue): links to type Location, part of Event schema
4. Venue (fb:olympics.olympic_demonstration_competition.venue): part of Olympic demonstration competition schema, links to type Olympic venue
5. Venue (fb:base.politicalconventions.convention_speech.venue): part of Convention Speech schema, links to type Convention Venue
6. Venue (fb:base.dance.dance_company.venue): part of Dance Company schema, links to type Topic
7. venue (fb:base.sportbase.sport.venue): part of Sport schema, links to type Text
8. Venue (fb:base.livemusic.concert.venue): links to type Concert Venue, part of Concert schema
9. venue (fb:base.climatechangeandmuseums.museum_research.venue): links to type Exhibition venue, part of museum research schema
10. venue (fb:base.climatechangeandmuseums.museum_sustainability_policy.venue): part of museum sustainability policy schema, links to type Exhibition venue

[Assistant] The property fb:user.deizel.default_domain.event.venue looks promising as it is related to the venue of an event. I will now try to query the venue of the Boston Tea Party, 1773 using this property.

[Tool] Got no rows and 2 columns

[Assistant] The property fb:user.deizel.default_domain.event.venue did not return any results for the Boston Tea Party, 1773. I will try another approach by checking the general properties of the Boston Tea Party entity to see if any property might indicate its location.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                                                   | object                                                       |
| ------------------------------------- | ---------------------------------------------------------- | ------------------------------------------------------------ |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | Type (fb:type.object.type)                                 | SKOS Concept (fb:base.skosbase.skos_concept)                 |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | Key (fb:type.object.key)                                   | /authority/us/gov/loc/sh/sh85015952                          |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | Name (fb:type.object.name)                                 | Boston Tea Party, 1773 (en)                                  |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | In Scheme (fb:base.skosbase.skos_concept.in_scheme)        | Authorities Concept Scheme (fb:m.0bnv1wf)                    |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | Preferred Label (fb:base.skosbase.skos_concept.pref_label) | Boston Tea Party, 1773 (en)                                  |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | Broader (fb:base.skosbase.skos_concept.broader)            | United States--History--Revolution, 1775-1783 (fb:m.0bpbn4c) |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | rdf:type                                                   | SKOS Concept (fb:base.skosbase.skos_concept)                 |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | fbkey:authority.us.gov.loc.sh                              | sh85015952                                                   |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | rdfs:label                                                 | Boston Tea Party, 1773 (en)                                  |
| Boston Tea Party, 1773 (fb:m.0bn_10k) | In Scheme (fb:base.skosbase.skos_concept.in_scheme)        | Topical Terms Concept Scheme (fb:m.0bnv1sz)                  |
| ...                                   | ...                                                        | ...                                                          |

[Assistant] The entity "Boston Tea Party, 1773" appears to be classified as a SKOS Concept and does not have a direct property indicating its location. I will try to find the location of the Boston Tea Party event by searching for the location of the event named "Boston Tea Party" (fb:m.0ccd96) which is another entity that represents the event. I will check the properties of this entity to find a location property.

[Tool]
Got 674 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                                |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------------------- |
| Boston Tea Party (fb:m.0ccd96) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                               |
| Boston Tea Party (fb:m.0ccd96) | Key (fb:type.object.key)                                            | /en/boston_tea_party                                                                  |
| Boston Tea Party (fb:m.0ccd96) | Name (fb:type.object.name)                                          | Boston Çay Partisi (tr)                                                               |
| Boston Tea Party (fb:m.0ccd96) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2D%27%2F%2B%29_%2D%41%44%29_%34%27%4A_%28%48%33%37%46> |
| Boston Tea Party (fb:m.0ccd96) | Notable for (fb:common.topic.notable_for)                           | fb:g.12574v___                                                                        |
| Boston Tea Party (fb:m.0ccd96) | Notable types (fb:common.topic.notable_types)                       | Event (fb:m.02xm94t)                                                                  |
| Boston Tea Party (fb:m.0ccd96) | Description (fb:common.topic.description)                           | A Bostoni teadélutánnak nevezett...ésének közvetlen előzménye volt. (hu)              |
| Boston Tea Party (fb:m.0ccd96) | Article (fb:common.topic.article)                                   | fb:m.0ccd9j                                                                           |
| Boston Tea Party (fb:m.0ccd96) | Image (fb:common.topic.image)                                       | Boston tea party (fb:m.02bktcb)                                                       |
| Boston Tea Party (fb:m.0ccd96) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.09y2fn0                                                                          |
| ...                            | ...                                                                 | ...                                                                                |

[Assistant] The entity "Boston Tea Party" (fb:m.0ccd96) is of type Event. I will now search for properties related to "location" or "place" for this entity to find where the event took place.

[Tool]
Top 10 property alternatives:
1. Location(s) (fb:time.event.locations): links to type Location, part of Event schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
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. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema
9. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
10. End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

No other items found

[Assistant] The property fb:time.event.locations is related to the location(s) of the event. I will now query the location(s) of the Boston Tea Party event (fb:m.0ccd96) using this property.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                     | locationName          |
| ---------------------------- | --------------------- |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (de)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (en)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (fr)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Harbor (sv)    |
| Boston Harbor (fb:m.04n7kgz) | Boston Limanı (tr)    |
| ...                          | ...                   |
| Boston Harbor (fb:m.04n7kgz) | Puerto de Boston (es) |
| Boston Harbor (fb:m.04n7kgz) | Бостонская бухта (ru) |
| Boston Harbor (fb:m.04n7kgz) | Бостонська бухта (uk) |
| Boston Harbor (fb:m.04n7kgz) | ميناء بوسطن (ar)      |
| Boston Harbor (fb:m.04n7kgz) | 보스턴 항 (ko)            |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  fb:m.06qd3 fb:location.country.form_of_government ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel FILTER ( lang( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Unitary state (fb:m.01fpfn)           | Unitary state (en)           |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |

South Korea has a form of government that includes a Presidential system, a Unitary state, and a Constitutional republic.

[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 kind of government is south korea?

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

[Tool]
Example 1:
Question:
what system of government is used in south korea?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06qd3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06qd3 fb:location.country.form_of_government ?x .
}

Using entities:
South Korea, also known as Daehan Minguk, Korea, Republic of Korea, ROK (fb:m.06qd3): South Korea, officially the Republic of Korea, and commonly refe..., with the latter becoming the Republic of Korea in August 1948., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
what government type is north korea?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05b7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05b7q fb:location.country.form_of_government ?x .
}

Using entities:
North Korea, also known as Democratic People's Republic of Korea, DPRK (fb:m.05b7q): North Korea, officially the Democratic People's Republic of Kore.... These conflicting claims of sovereignty led to the Korean War., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
what form of government does north korea?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05b7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05b7q fb:location.country.form_of_government ?x .
}

Using entities:
North Korea, also known as Democratic People's Republic of Korea, DPRK (fb:m.05b7q): North Korea, officially the Democratic People's Republic of Kore.... These conflicting claims of sovereignty led to the Korean War., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant] From the similar examples, we see that the entity for South Korea is fb:m.06qd3 and the property for form of government is fb:location.country.form_of_government. I will now write a SPARQL query to get the form of government for South Korea using these identifiers.

[Tool]
Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Unitary state (fb:m.01fpfn)           | Unitary state (en)           |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |

[Tool] Stopped generation process