PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?currency WHERE {
  fb:m.027rn fb:location.country.currency_used ?currency
}

The currency of the Dominican Republic is the Dominican Peso.

[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 currency does the dominican republic have?

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

[Tool]
Example 1:
Question:
what ethnicity are people from iran?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04nrnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04nrnz fb:people.ethnicity.includes_groups ?x .
}

Using entities:
Iranian peoples (fb:m.04nrnz): The Iranian peoples or Iranic peoples are a diverse Indo-Europea...d as a result of Germanic, Slavic, Turkic and Mongol expansions., Ethnicity

Using properties:
Includes group(s) (fb:people.ethnicity.includes_groups): Ethnicity

Example 2:
Question:
where was john lennon standing when he was shot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsl3_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?x .
}

Using entities:
John Lennon, also known as J. Lennon, The Beatles, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., Musical Artist

Using properties:
Place of death (fb:people.deceased_person.place_of_death): Deceased Person, Location

Example 3:
Question:
what are the official languages of jamaica?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_r3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_r3 fb:location.country.official_language ?x .
}

Using entities:
Jamaica (fb:m.03_r3): Jamaica is an island country situated in the Caribbean Sea, comp...d Canada, and the fourth most populous country in the Caribbean., Country

Using properties:
Official Language (fb:location.country.official_language): Human Language, Country

[Assistant] Based on the examples, we need to identify the entity for the Dominican Republic and the property for currency. Let's start by searching for the entity "Dominican Republic".

[Tool]
Top 10 entity alternatives:
1. Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., Country
2. Dominican Republic (fb:m.086c_78): Book Edition
3. Dominican Republic (fb:m.0ybwyw7): Musical Recording
4. Dominican Republic (fb:m.05dln_l): Grylls has some tips on how to survive the hurricane season and he also eats a tarantula to survive, TV Episode
5. Dominican Republic (fb:m.07mqzhw): A woman wants to find a house on the beach in the Dominican Republic., TV Episode
6. Dominican Republic, also known as TBD (fb:m.0n4tbww): Nearing toward the end of his final tour, Anthony Bourdain trave...the Caribbean for fresh fish and more in the Dominican Republic., TV Episode
7. Dominican Republic (fb:m.0116kn3q): Andi travels to the Dominican Republic where she spends intimate time with each of the three remaining bachelors., TV Episode
8. Dominican Republic (fb:m.0qdxlv): Musical Recording
9. Dominican Republic (fb:m.07lbffk): TV Episode
10. Dominican Republic (fb:m.011nglc8): The Dominican Republic offers perhaps the most exotic adventure experience in the Caribbean., TV Episode

[Assistant] The correct entity for the Dominican Republic is `fb:m.027rn`. Now let's search for the property related to currency.

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

[Assistant] None of these properties seem to directly relate to the currency of a country. However, the property `fb:location.country.currency` seems like it would fit our needs. Let's verify this property by listing some examples.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the property `fb:location.country.currency` does not exist or is not commonly used in Freebase. Let's try another approach by searching for the currency of the Dominican Republic directly.

We can use the property `fb:location.country.currency` and see if it returns any results for the Dominican Republic. If not, we might need to look for alternative properties or entities.

Let's execute a SPARQL query to find the currency of the Dominican Republic using the entity `fb:m.027rn` and the property `fb:location.country.currency`.

If this doesn't work, we'll explore other properties or entities.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `fb:location.country.currency` does not yield any results for the Dominican Republic. Let's try another approach by searching for the currency directly associated with the Dominican Republic.

We can search for the currency entity and then see if it is linked to the Dominican Republic through any properties.

First, let's search for the currency entity "Dominican Peso".

[Tool]
Top 10 entity alternatives:
1. Dominican peso (fb:m.04lt7_): The Dominican peso is the currency of the Dominican Republic. It...public for all monetary transactions, whether public or private., Currency
2. Dominican peso (fb:m.07pv98s)
3. dominican peso.noun.01 (fb:m.07pv985)
4. Peso (fb:m.0119s0nm): The peso was a coin that originated in Spain and became of immen...he name of the monetary unit of several former Spanish colonies.
5. Peso (fb:m.0nmvwdq): Musical Recording
6. Lars Paetzelt, also known as Peso (fb:m.011cpv4n): Lars Paetzelt is a musical artist., Musical Artist
7. Peso (fb:m.0ndq7pm): "Peso" is a song by American hip hop recording artist ASAP Rocky...Gonna Love You", from their 1984 album Just the Way You Like It., Composition
8. Peso (fb:m.0ndq6v7): Musical Recording
9. Peso, also known as Marco Pesenti (fb:g.122g8s3k): Peso is a musical artist., Musician
10. Peso (fb:m.0ndpl37): Peso is a 2011 single by ASAP Rocky., Musical Album

[Assistant]
The correct entity for the Dominican Peso is `fb:m.04lt7_`. Now, let's check if there is a direct link between the Dominican Republic (`fb:m.027rn`) and the Dominican Peso (`fb:m.04lt7_`) using any properties.

We can list the properties that connect the Dominican Republic to the Dominican Peso to see if there is a relevant property.

[Tool]
Got 1 row and 3 columns:
| subject                         | property                                          | object                       |
| ------------------------------- | ------------------------------------------------- | ---------------------------- |
| Dominican Republic (fb:m.027rn) | Currency Used (fb:location.country.currency_used) | Dominican peso (fb:m.04lt7_) |

[Assistant]
We found a property `fb:location.country.currency_used` that links the Dominican Republic to the Dominican Peso. This property seems to be the correct one to use for our query.

Now, let's construct the final SPARQL query to retrieve the currency of the Dominican Republic using this property.

```sparql
SELECT ?currency WHERE {
  fb:m.027rn fb:location.country.currency_used ?currency
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 1 column:
| currency                     |
| ---------------------------- |
| Dominican peso (fb:m.04lt7_) |

[Assistant]
The SPARQL query successfully returned the currency of the Dominican Republic, which is the Dominican Peso (`fb:m.04lt7_`).

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?currency WHERE {
  fb:m.027rn fb:location.country.currency_used ?currency
}
```

The currency of the Dominican Republic is the Dominican Peso.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?timeZone ?timeZoneLabel WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
  OPTIONAL {
    ?timeZone rdfs:label ?timeZoneLabel .
    FILTER ( LANG( ?timeZoneLabel ) = 'en' )
  }
}

The time zone of Pennsylvania is Eastern Time Zone.

[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 time zone is pennsylvania in right now?

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

[Tool]
Example 1:
Question:
what language does people in netherlands speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059j2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059j2 fb:location.country.languages_spoken ?x .
}

Using entities:
Netherlands, also known as Holland, The Netherlands, Nederlands, Nederland, Hollanti (fb:m.059j2): The Netherlands is the main constituent country of the Kingdom o...he Netherlands is a very densely populated country for its size., Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): Human Language, Country

Example 2:
Question:
where did pres clinton go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0157m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0157m fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
Bill Clinton, also known as The Comeback Kid, the Compromiser in Chief, The first black president, The Man From Hope, The Man From Hope (Arkansas) (fb:m.0157m): William Jefferson "Bill" Clinton is an American politician who s...oungest president and the first from the baby boomer generation., US President
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.

Using properties:
Notable types (fb:common.topic.notable_types): Topic, Type
Institution (fb:education.education.institution): Educational Institution, Education
Education (fb:people.person.education): Education, Person

Example 3:
Question:
in what country is amsterdam?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0k3p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0k3p fb:location.administrative_division.country ?x .
}

Using entities:
Amsterdam, also known as Amsterdam, Netherlands, Amsterdam, The Netherlands, Mokum, Venice of the North (fb:m.0k3p): Amsterdam is the capital city and most populous city of the King... time, the city was the leading center for finance and diamonds., City/Town/Village

Using properties:
Country (fb:location.administrative_division.country): Administrative Division, Country

[Assistant] None of these examples directly relate to finding the current time zone of a location. However, we can infer that we need to look for properties related to time zones and locations. Let's start by searching for the entity "Pennsylvania".

[Tool]
Top 10 entity alternatives:
1. Pennsylvania, also known as Keystone State, PA, Penn, PN (fb:m.05tbn): Pennsylvania /ˌpɛnsɨlˈveɪnjə/, officially the Commonwealth of Pe...nited States Constitution were drafted, is located in the state., US State
2. Pennsylvania (fb:m.0dnbfx0): Musical Release
3. Pennsylvania (fb:m.0dnsql1): Musical Release
4. Pennsylvania (fb:m.01k2yk8): Pennsylvania is Pere Ubu's eleventh studio album. The album mark...'s return to Pere Ubu's studio work after a twenty-year absence., Musical Album
5. Pennsylvania (fb:m.039trkh): Musical Release
6. SS Pennsylvania, also known as Pennsylvania (fb:m.051xkgs): SS Pennsylvania was an iron passenger-cargo steamship built by W...-American War. The ship was finally destroyed by a fire in 1918., Ship
7. Pennsylvania, also known as Pennsylvania, South Gloucestershire (fb:m.0fly7h): Pennsylvania is a small village in South Gloucestershire, Englan...e Bed and Breakfast. It was named after the US state by Quakers., City/Town/Village
8. Pennsylvania (fb:m.016m6n7): Musical Recording
9. Pennsylvania (fb:m.0fhhw0): "Pennsylvania" is the official state song of the Commonwealth of...igned into law by Governor Robert P. Casey on November 29, 1990., Composition
10. Pennsylvania, also known as Pennsylvania Steamboat (fb:m.03y0fsc): The steamboat Pennsylvania was a side wheeler steamboat which su...d sank at Ship Island near Memphis, Tennessee, on June 13, 1858., Location

[Assistant] The top result is the correct entity for Pennsylvania, the US state. Now let's search for properties related to time zones for this entity.

[Tool]
Top 10 property alternatives:
1. Time zone(s) (fb:location.location.time_zones): Time Zone, Location
2. Geolocation (fb:location.location.geolocation): Location, Geocode
3. Flag (fb:symbols.flag_referent.flag): Flag referent, Flag use
4. Country (fb:base.locations.states_and_provences.country): States and provinces, Countries
5. Country (fb:base.biblioness.bibs_location.country): Bibs Location, Location
6. Country (fb:location.administrative_division.country): Administrative Division, Country
7. Area (fb:location.location.area): Floating Point Number, Location
8. entry (fb:user.tsegaran.random.taxonomy_subject.entry): Taxonomy Subject, Taxonomy Entry
9. Daylife Topic (fb:common.identity.daylife_topic): Enumeration, Identity
10. Capital (fb:location.us_state.capital): City/Town/Village, US State

No other items found

[Assistant]
The top result, `Time zone(s)` (fb:location.location.time_zones), seems to be the property we're looking for. Let's construct a simple SPARQL query to retrieve the time zone(s) of Pennsylvania.

```sparql
SELECT ?timeZone WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
}
```

I'll execute this query to see the results.

[Tool]
Got 2 rows and 1 column:
| timeZone                        |
| ------------------------------- |
| UTC−05:00 (fb:m.02_37z)         |
| Eastern Time Zone (fb:m.02hcv8) |

[Assistant]
The query returned two time zones for Pennsylvania:

1. UTC−05:00 (fb:m.02_37z)
2. Eastern Time Zone (fb:m.02hcv8)

Eastern Time Zone (ET) is the primary time zone used in Pennsylvania. To provide a more user-friendly answer, we can include the label of the time zone. Let's modify the query to include the label of the time zone.

```sparql
SELECT ?timeZone ?timeZoneLabel WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
  OPTIONAL { ?timeZone rdfs:label ?timeZoneLabel . }
}
```

I'll execute this updated query to get the labels.

[Tool]
Got 55 rows and 2 columns, showing the first 5 and last 5 rows below:
| timeZone                        | timeZoneLabel        |
| ------------------------------- | -------------------- |
| UTC−05:00 (fb:m.02_37z)         | UTC-05 (ko)          |
| UTC−05:00 (fb:m.02_37z)         | UTC-05:00 (pl)       |
| UTC−05:00 (fb:m.02_37z)         | UTC-05:00 (tr)       |
| UTC−05:00 (fb:m.02_37z)         | UTC-05.00 (no)       |
| UTC−05:00 (fb:m.02_37z)         | UTC−05:00 (ca)       |
| ...                             | ...                  |
| Eastern Time Zone (fb:m.02hcv8) | เขตเวลาตะวันออก (th) |
| Eastern Time Zone (fb:m.02hcv8) | 동부 표준시 (ko)          |
| Eastern Time Zone (fb:m.02hcv8) | 北美东部时区 (zh)          |
| Eastern Time Zone (fb:m.02hcv8) | 北美東部時區 (zh-Hant)     |
| Eastern Time Zone (fb:m.02hcv8) | 東部標準時 (ja)           |

[Assistant]
The query returned multiple labels for both time zones, including translations in different languages. To simplify the answer, we can filter the results to only show the English labels. We can do this by adding a language filter to the query.

```sparql
SELECT ?timeZone ?timeZoneLabel WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
  OPTIONAL { ?timeZone rdfs:label ?timeZoneLabel . FILTER(LANG(?timeZoneLabel) = 'en') }
}
```

I'll execute this updated query to get the English labels.

[Tool]
Got 2 rows and 2 columns:
| timeZone                        | timeZoneLabel          |
| ------------------------------- | ---------------------- |
| UTC−05:00 (fb:m.02_37z)         | UTC−05:00 (en)         |
| Eastern Time Zone (fb:m.02hcv8) | Eastern Time Zone (en) |

[Assistant]
The query returned the English labels for the time zones of Pennsylvania:

1. UTC−05:00 (fb:m.02_37z) - UTC−05:00
2. Eastern Time Zone (fb:m.02hcv8) - Eastern Time Zone

Eastern Time Zone (ET) is the primary time zone used in Pennsylvania. Therefore, the time zone of Pennsylvania is Eastern Time Zone.

Here is the final SPARQL query and answer:

```sparql
SELECT ?timeZone ?timeZoneLabel WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
  OPTIONAL { ?timeZone rdfs:label ?timeZoneLabel . FILTER(LANG(?timeZoneLabel) = 'en') }
}
```

Answer: The time zone of Pennsylvania is Eastern Time Zone.

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?battle WHERE {
  fb:m.07r8h fb:military.military_person.participated_in_conflicts ?battle .
}

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

The battles that Stonewall Jackson fought in include: First Battle of Bull Run, Jackson's Valley Campaign, Battle of Chantilly, Battle of Harpers Ferry, Romney Expedition, Battle of Chancellorsville, Battle of Fredericksburg, Second Battle of Bull Run, American Civil War, and Battle of Antietam.

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

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

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

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

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

[User] what battles did stonewall jackson fight in?

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

[Tool]
Example 1:
Question:
what religion did jesus christ follow?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.045m1_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.045m1_ fb:people.person.religion ?x .
}

Using entities:
Jesus Christ, also known as Yeshua, Jesus, son of Mary, Jesus, Jesus of Nazareth, Jesus Christ, Son of God, Son of Mary (fb:m.045m1_): Jesus, also referred to as Jesus of Nazareth, is the central fig...ted as "AD" or sometimes as "CE" is based on the birth of Jesus., Deity

Using properties:
Religion (fb:people.person.religion): Religion, Person

Example 2:
Question:
what timezone is nevada in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059_c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059_c fb:location.location.time_zones ?x .
}

Using entities:
Nevada, also known as Battle-Born State, Nev, NV, Sagebrush State, Silver State (fb:m.059_c): Nevada is a state in the Western, Mountain West, and Southwester...oshone, and Washoe tribes inhabited the land that is now Nevada., US State

Using properties:
Time zone(s) (fb:location.location.time_zones): Time Zone, Location

Example 3:
Question:
what is the capital of alaska state?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hjy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hjy fb:base.aareas.schema.administrative_area.capital ?x .
}

Using entities:
Alaska, also known as Alasca, The 49th State, Last Frontier, AK (fb:m.0hjy): Alaska is a U.S. state situated in the northwest extremity of th...hanges before becoming organized as a territory on May 11, 1912., US State

Using properties:
Capital (fb:base.aareas.schema.administrative_area.capital): Administrative Area, City/Town/Village

[Assistant]
From these examples, we can see that the SPARQL queries typically involve selecting distinct values for a specific property of an entity. In our case, we need to identify the entity for Stonewall Jackson and the property that indicates the battles he fought in.

First, let's search for the entity "Stonewall Jackson".

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

[Assistant]
The first result, "Stonewall Jackson" (fb:m.07r8h), seems to be the correct entity for the Confederate general Thomas J. Jackson. Now, we need to find the property that indicates the battles he fought in.

Let's search for properties related to "battles" for this entity.

[Tool]
Top 10 property alternatives:
1. Participated in conflicts (fb:military.military_person.participated_in_conflicts): Military Conflict, Military Person
2. Military Commands (fb:military.military_commander.military_commands): Military Commander, Military Command
3. Places lived (fb:people.person.places_lived): Place lived, Person
4. Name (fb:type.object.name): Object, Text
5. Key (fb:type.object.key): Object, Key
6. Description (fb:common.topic.description): Topic, Text
7. Notable types (fb:common.topic.notable_types): Topic, Type
8. Things named after this (fb:symbols.name_source.namesakes): Name source, Namesake
9. Service (fb:military.military_person.service): Military Service, Military Person
10. Image (fb:common.topic.image): Topic, Image

No other items found

[Assistant]
The property "Participated in conflicts" (fb:military.military_person.participated_in_conflicts) seems to be the most relevant for identifying the battles Stonewall Jackson fought in.

Now, let's construct a SPARQL query to retrieve the battles that Stonewall Jackson participated in.

```sparql
SELECT DISTINCT ?battle WHERE {
  fb:m.07r8h fb:military.military_person.participated_in_conflicts ?battle .
}
```

I will execute this query to get the results.

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

[Assistant]
The SPARQL query has successfully retrieved the battles that Stonewall Jackson participated in. Here are the results:

- First Battle of Bull Run (fb:m.01h9zd)
- Jackson's Valley Campaign (fb:m.021h20)
- Battle of Chantilly (fb:m.02bckn)
- Battle of Harpers Ferry (fb:m.02p037)
- Romney Expedition (fb:m.02q5_1r)
- ...
- Battle of Chancellorsville (fb:m.0d0mw)
- Battle of Fredericksburg (fb:m.0d0y7)
- Second Battle of Bull Run (fb:m.0f777)
- American Civil War (fb:m.0kbq)
- Battle of Antietam (fb:m.0lkxb)

These are the battles that Stonewall Jackson fought in during the American Civil War.

I will now provide the final answer.

[Tool] Stopped generation process


Failed to generate SPARQL query

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

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

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

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

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

[User] what animal represents california?

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

[Tool]
Example 1:
Question:
what is the origin of the turkish language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hwyss ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hwyss fb:language.human_language.language_family ?x .
}

Using entities:
Turkish Language, also known as Turkish, Turkish language, Türkisch, Turki, Türkçe (fb:m.02hwyss): Turkish, also referred to as Istanbul Turkish, is the most widel...ial distance, age, courtesy or familiarity toward the addressee., Human Language

Using properties:
Language Family (fb:language.human_language.language_family): Language Family, Human Language

Example 2:
Question:
who was francis drake married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.031t2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.031t2 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Francis Drake, also known as Sir Francis Drake, El Draque, Draco (fb:m.031t2): Sir Francis Drake, vice admiral was an English sea captain, priv...,000 ducats, about £4 million by modern standards, for his life., Military Commander
Marriage, also known as Wedlock, Matrimony (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., Religious Practice

Using properties:
Spouse (fb:people.marriage.spouse): Marriage, Person
Type of union (fb:people.marriage.type_of_union): Marriage/union type, Marriage
Spouse (or domestic partner) (fb:people.person.spouse_s): Marriage, Person

Example 3:
Question:
when is the last time the chicago bulls won a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm74 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm74 fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Chicago Bulls, also known as Bulls (fb:m.0jm74): The Chicago Bulls are an American professional basketball team b...y $65 million in operating income from the 2014-2015 NBA season., Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): Sports League Championship Event, Sports Team
Start date (fb:time.event.start_date): Date/Time, Event

[Assistant] From the examples, we can see that the SPARQL queries typically involve selecting distinct values for a variable based on certain relationships and filters. In our case, we need to find out what animal represents California. We'll first search for the entity representing California.

[Tool]
Top 10 entity alternatives:
1. California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., US State
2. California, also known as California, Kentucky, Campbell County / California city (fb:m.0td30): California is a 6th-class city in Campbell County, Kentucky, United States. The population was 90 at the 2010 census., City/Town/Village
3. California, also known as California, Missouri, Moniteau County / California city (fb:m.0wxz5): California is a city in Moniteau County, Missouri, United States...y in the Jefferson City, Missouri Metropolitan Statistical Area., City/Town/Village
4. California, also known as Washington County / California borough, California, Pennsylvania (fb:m.0_frm): California is a borough on the Monongahela River in Washington C...tion, and Republican Casey Durdines, who was 20 at his election., City/Town/Village
5. California, also known as California (Tchad Blake mix), California (Jack Joseph Puig mix), California (fb:m.0m9_g7): Musical Recording
6. California, also known as California, Santander (fb:m.02qcvdy): California is a town and municipality in the Santander Department in northeastern Colombia., City/Town/Village
7. California, also known as California, Maryland, St. Mary's County / California CDP (fb:m.0tx8x): California is a census-designated place and community in St. Mar...ridge-bound traffic is infamous for backing up during rush hour., US Census Designated Place
8. California (fb:m.05k1_p): California is the third and final studio album by American exper.... Bungle. It was released on June 13, 1999, through Warner Bros., Musical Album
9. California (fb:m.0n53fn_): California is a 1977 Italian spaghetti western film directed by ...cs and obtained a good commercial success at Italian box office., Film
10. California (fb:m.03h52hx): "California" is a 1995 song recorded by the French artist Mylène...m, and has become one of the biggest hits of all time in Russia., Composition

[Assistant] The top result, `fb:m.01n7q`, refers to the state of California in the United States. We will use this entity to find out what animal represents California. To do this, we need to identify the relevant property that links an entity to its representative animal. Let's search for properties related to "state animal" or "representative animal."

[Tool]
Top 10 property alternatives:
1. State animal (fb:base.usstatesymbols.state_symbols.state_animal): State symbols, Animal
2. State (fb:base.biblioness.bibs_location.state): Bibs Location, Location
3. State (fb:base.dimenovels.publisher_address.state): Dime Novel Publisher, Text
4. state (fb:user.unfoldingart.unfoldingart.ua_member.state): member, Text
5. State (fb:user.itteco.ga.domain.item.state): Machine readable string, Item
6. State (fb:base.usnationalparks.us_national_park.state): US National Park Service Site, Location
7. State (fb:user.robert.us_congress.congressional_district.state): Congressional district, US State
8. State (fb:user.robert.us_congress.us_representative.state): US Representative, US State
9. State (fb:user.itteco.ga.scheme.item.state): Machine readable string, Item
10. State bird (fb:base.usstatesymbols.state_symbols.state_bird): State symbols, Bird Species

[Assistant]
The top result, `fb:base.usstatesymbols.state_symbols.state_animal`, seems to be the property we are looking for. Let's use this property to find the state animal of California.

We will construct a simple SPARQL query to retrieve the state animal of California:

```sparql
SELECT ?animal WHERE {
  fb:m.01n7q fb:base.usstatesymbols.state_symbols.state_animal ?animal .
}
```

Let's execute this query to find the state animal of California.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the query did not return any results, which suggests that the property `fb:base.usstatesymbols.state_symbols.state_animal` might not be the correct one for California. Let's try another approach by searching for properties related to "representative animal" or "symbolic animal" to see if there are other relevant properties.

Let's search for properties related to "representative animal."

[Tool]
Top 10 property alternatives:
1. Type of animal (fb:base.animalnames.animal_group_name.type_of_animal): Animal group name, Animal
2. Notable Animals (fb:zoos.zoo.notable_animals): Animal Captivity, Zoo
3. Notable Animals (fb:zoos.zoo_exhibit.notable_animals): Animal Captivity, Zoo Exhibit
4. Animal (fb:biology.animal_ownership.animal): Animal ownership, Owned animal
5. Animal (fb:base.animalnames.animal_specific_name_relationship.animal): Animal-specific-name relationship, Animal
6. Animal (fb:zoos.animal_captivity.animal): Animal Captivity, Zoo Animal
7. Animals owned (fb:biology.animal_owner.animals_owned): Animal ownership, Animal owner
8. Breed (fb:user.doconnor.pets.cat.breed): Cat Breed, Cat
9. Breed (fb:user.jefft0.default_domain.purebred_dog.breed): Purebred Dog, Dog Breed
10. Breed (fb:user.doconnor.pets.horse.breed): Horse breed, Horse

[Assistant]
None of the properties listed seem to directly relate to a state's representative animal. Given that the initial search for "state animal" did not yield results, let's try a different approach by searching for the specific animal that is known to represent California. The California grizzly bear is often recognized as the state animal.

Let's search for the entity "California grizzly bear" and see if it is linked to California in any way.

[Tool]
Top 10 entity alternatives:
1. California grizzly bear (fb:m.046279b): The California grizzly is an extinct subspecies of the grizzly, ...lation recovers and expands, it may be introduced to California., Official symbol
2. The grizzly bear hunter of California (fb:m.05m4ft6): Book
3. Grizzly bear (fb:m.037_v): The grizzly bear is any North American subspecies of brown bear,...ng and will attack if she thinks she or her cubs are threatened., Animal
4. Grizzly Bear (fb:m.01rh1dp): Grizzly Bear is an American Indie Rock band from Brooklyn, New Y...nd experimental, and is dominated by the use of vocal harmonies., Musical Artist
5. Grizzly Bear (fb:m.01177ym8): Musical Recording
6. Grizzly bear (fb:m.04ts2_x): Book Edition
7. Grizzly bear (fb:m.04vpdsx): Book Edition
8. Grizzly Bear (fb:m.010jgdjv): Musical Recording
9. Grizzly Bear (fb:m.011mqp0p): Consumer product
10. Grizzly Bear (fb:m.011mmj8f): Consumer product

[Assistant]
The top result, `fb:m.046279b`, refers to the California grizzly bear. This entity is described as an extinct subspecies of the grizzly bear and is listed as an official symbol.

To confirm that this is indeed the state animal of California, we can check if there is a direct link between California and the California grizzly bear. Let's list the triples where California (`fb:m.01n7q`) is the subject and see if the California grizzly bear is mentioned.


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

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

The Milwaukee Brewers' stadium is called Miller Park.

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

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

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

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

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

[User] what is the milwaukee brewers stadium called?

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

[Tool]
Example 1:
Question:
what to do in daytona?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0rsjf ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0rsjf fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Daytona Beach, also known as Daytona Beach, Florida, Volusia County / Daytona Beach city (fb:m.0rsjf): Daytona Beach is a city in Volusia County, Florida, United State...0,000 NASCAR fans come to attend the season-opening Daytona 500., City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): Tourist attraction, Travel destination

Example 2:
Question:
what language does the new zealand speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ctw_b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ctw_b fb:location.country.official_language ?x .
}

Using entities:
New Zealand, also known as Land of the long white cloud, NZ, God's own, Aotearoa (fb:m.0ctw_b): New Zealand is an island country in the southwestern Pacific Oce...ned the Treaty of Waitangi, making New Zealand a British colony., Country

Using properties:
Official Language (fb:location.country.official_language): Human Language, Country

Example 3:
Question:
who voices anakin in the clone wars?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cpllql ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cpllql fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0f2y0 .
}

Using entities:
Star Wars: The Clone Wars (fb:m.0cpllql): Star Wars: The Clone Wars is a 2008 American computer-animated s...or marketing campaign included toys, fast food, and comic books., Film
Darth Vader, also known as Anakin Skywalker, Lord Vader (fb:m.0f2y0): Darth Vader is a fictional character in the Star Wars universe. ...00 Heroes and Villains, behind Hannibal Lecter and Norman Bates., Film character

Using properties:
Performances (fb:film.film.starring): Film performance, Film
Actor (fb:film.performance.actor): Film performance, Film actor
Character (fb:film.performance.character): Film performance, Film character

[Assistant] Based on the examples, we need to identify the entity for the Milwaukee Brewers and then find the property that links to their stadium. Let's start by searching for the Milwaukee Brewers entity.

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

[Assistant]
The top result, `fb:m.051vz`, seems to be the current Milwaukee Brewers professional sports team. Next, let's find out what property links this team to their stadium.

I will search for properties related to "stadium" or "home ground" for the Milwaukee Brewers entity.

[Tool]
Top 10 property alternatives:
1. Arena/Stadium (fb:sports.sports_team.arena_stadium): Sports Facility, Sports Team
2. Venue (fb:sports.sports_team.venue): Team/venue relationship, Sports Team
3. Sports Team Location (fb:sports.sports_team.location): Sports Team Location, Sports Team
4. Sport (fb:sports.sports_team.sport): Sports Team, Sport
5. League (fb:baseball.baseball_team.league): Baseball League, Baseball Team
6. Team Stats (fb:baseball.baseball_team.team_stats): Baseball Team Stats, Baseball Team
7. Team Mascot (fb:sports.sports_team.team_mascot): Sports Team, Mascot
8. Roster (fb:sports.sports_team.roster): Sports team roster, Sports Team
9. Member of (fb:sports.sports_team.league): Sports league participation, Sports Team
10. Official website (fb:common.topic.official_website): Topic, URI

No other items found

[Assistant]
The property `fb:sports.sports_team.arena_stadium` seems to be the most relevant for linking the Milwaukee Brewers to their stadium. Let's construct a SPARQL query to find the stadium associated with the Milwaukee Brewers.

Here is the initial SPARQL query:

```sparql
SELECT ?stadium WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
}
```

Let's execute this query to see the results.

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

[Assistant]
The query returned the stadium associated with the Milwaukee Brewers, which is Miller Park.

To provide a more complete answer, let's include the label of the stadium in the query. We can use the `rdfs:label` property to get the label of the stadium.

Here is the updated SPARQL query:

```sparql
SELECT ?stadium ?stadiumLabel WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL { ?stadium rdfs:label ?stadiumLabel . }
}
```

Let's execute this query to get the label of the stadium.

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

[Assistant]
The query returned multiple labels for the stadium in different languages. The English label for the stadium is "Miller Park".

Therefore, the Milwaukee Brewers' stadium is called **Miller Park**.

Here is the final SPARQL query and answer:

```sparql
SELECT ?stadium ?stadiumLabel WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL { ?stadium rdfs:label ?stadiumLabel . }
}
```

Answer: The Milwaukee Brewers' stadium is called Miller Park.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?nationality WHERE {
  fb:m.07ldhs fb:people.person.nationality ?nationality .
  fb:m.02qd_td fb:fictional_universe.fictional_character.place_of_birth ?placeOfBirth .
  ?placeOfBirth fb:location.location.containedby * ?country .
  FILTER ( ?country = fb:m.09c7w0 )
}

The nationality of Taylor Lautner and Jacob Black is the United States of America.

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

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

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

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

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

[User] what nationality is taylor lautner jacob black?

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

[Tool]
Example 1:
Question:
where is the main headquarters of the un?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07t65 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07t65 fb:user.ktrueman.default_domain.international_organization.mailing_address ?y .
  ?y fb:location.mailing_address.citytown ?x .
}

Using entities:
United Nations, also known as Nations-Unies, U.N., UN, United Nations Staff, 国連 (fb:m.07t65): The United Nations is an intergovernmental organization to promo...charter took effect 24 October 1945, and the UN began operation., Membership organization

Using properties:
City/Town (fb:location.mailing_address.citytown): Location, Address
Mailing Address (fb:user.ktrueman.default_domain.international_organization.mailing_address): International Organization, Address

Example 2:
Question:
who did ayrton senna drive for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.012pxw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.012pxw fb:base.formula1.formula_1_driver.team_member ?y .
  ?y fb:base.formula1.formula_1_team_member.team ?x .
}

Using entities:
Ayrton Senna, also known as Ayrton Senna da Silva, Beco (fb:m.012pxw): Ayrton Senna da Silva was a Brazilian racing driver who won thre..., winning five races and negotiating a move to Williams in 1994., Musical Artist

Using properties:
Team Member (fb:base.formula1.formula_1_driver.team_member): Formula 1 Team Membership, Formula 1 Driver
Team (fb:base.formula1.formula_1_team_member.team): Formula 1 Team Membership, Formula 1 Team

Example 3:
Question:
what kind of language do irish speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03bkbh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03bkbh fb:people.ethnicity.languages_spoken ?x .
}

Using entities:
Irish people, also known as Irish (fb:m.03bkbh): The Irish people are a nation and ethnic group who originate fro...an to set foot on American soil in Columbus' expedition of 1492., Ethnicity

Using properties:
Languages spoken (fb:people.ethnicity.languages_spoken): Human Language, Ethnicity

[Assistant] Based on the examples, we need to identify the entity for Taylor Lautner and the property for nationality. Let's start by searching for the entity "Taylor Lautner".

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

[Assistant] The correct entity for Taylor Lautner is `fb:m.07ldhs`. Now let's search for the property related to nationality.

[Tool]
Top 10 property alternatives:
1. nationality (fb:base.svocab.person.nationality): Person, Text
2. Nationality (fb:user.rcheramy.default_domain.nhl_draft_pick.nationality): NHL Draft Pick, Country
3. Nationality (fb:user.jamie.default_domain.war_ship.nationality): War Ship, Country
4. Country of nationality (fb:people.person.nationality): Country, Person
5. Country of citizenship (fb:user.narphorium.people.citizen.country): Citizen, Country
6. Place of birth (fb:base.iraqimusicbase.iraqi_person.place_of_birth): iraqi person, Text
7. Place of Birth (fb:biology.organism.place_of_birth): Organism, Location
8. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): Fictional Character, Fictional Setting
9. Place of birth (fb:people.person.place_of_birth): Location, Person
10. Was born (fb:user.maximilianschich.CIDOC_CRM.e21_person.was_born): P98 brought into life (was born), E21 Person

[Assistant]
The most relevant property for nationality is `fb:people.person.nationality`. Now, let's construct a simple SPARQL query to find Taylor Lautner's nationality.

```sparql
SELECT ?nationality WHERE {
  fb:m.07ldhs fb:people.person.nationality ?nationality .
}
```

I will now execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| nationality                            |
| -------------------------------------- |
| United States of America (fb:m.09c7w0) |

[Assistant]
The query returned the nationality of Taylor Lautner as the United States of America.

Now, let's consider Jacob Black, the character played by Taylor Lautner in the "Twilight" series. Since Jacob Black is a fictional character, we need to find the entity for Jacob Black and then check if there is a property for his nationality.

First, let's search for the entity "Jacob Black".

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

[Assistant]
The correct entity for Jacob Black is `fb:m.02qd_td`. Now, let's search for the property related to nationality for fictional characters.

Since Jacob Black is a fictional character, we might need to look for a property like `place of birth` or `nationality` specific to fictional characters.

Let's search for the property `place of birth` for fictional characters.

[Tool]
Top 10 property alternatives:
1. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): Fictional Character, Fictional Setting
2. Occupation (fb:fictional_universe.fictional_character.occupation): Character Occupation, Fictional Character
3. Name (fb:type.object.name): Object, Text
4. Key (fb:type.object.key): Object, Key
5. Ethnicity (fb:fictional_universe.fictional_character.ethnicity): Ethnicity in fiction, Fictional Character
6. Gender (fb:fictional_universe.fictional_character.gender): Fictional Character, Character Gender
7. Character Created By (fb:fictional_universe.fictional_character.character_created_by): Fictional Character Creator, Fictional Character
8. Image (fb:common.topic.image): Topic, Image
9. Type (fb:type.object.type): Object, Type
10. Character ID (fb:imdb.topic.character_id): Enumeration, Topic

No other items found

[Assistant]
The property `fb:fictional_universe.fictional_character.place_of_birth` seems to be the most relevant for finding the place of birth of a fictional character. However, since we are specifically looking for nationality, we can try to use this property to infer the nationality based on the place of birth.

Let's construct a SPARQL query to find Jacob Black's place of birth and then infer his nationality from that.

```sparql
SELECT ?placeOfBirth WHERE {
  fb:m.02qd_td fb:fictional_universe.fictional_character.place_of_birth ?placeOfBirth .
}
```

I will now execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| placeOfBirth          |
| --------------------- |
| La Push (fb:m.089q9r) |

[Assistant]
The query returned the place of birth of Jacob Black as La Push. To determine the nationality, we need to find out the country where La Push is located.

Let's search for the entity "La Push" and then find its country.

[Tool]
Top 10 entity alternatives:
1. La Push, also known as La Push, Washington (fb:m.089q9r): La Push is a small unincorporated community situated at the mout...ibe. La Push is known for its whale-watching and natural beauty., City/Town/Village
2. La Push (fb:m.0nn8fpy): Musical Recording
3. La Push (fb:m.0q9qkhr)
4. La Push (fb:m.0q9t2sk)
5. Last Push (fb:m.0w3jhbw): With the title of Sole Survivor on the line and $1 million withi... one castaway falls victim to a heartbreaking medical emergency., TV Episode
6. La Push Beach (fb:m.0h675j_): La Push Beach is a series of beach chains called Beach one, two,... the Sitka, Spruce, and Evergreen trees that populate the shore., Tourist attraction
7. Last Push (fb:m.012tjm_c): Musical Recording
8. Push Lady Push (fb:m.0f47p2p): Musical Recording
9. La Push, WA (fb:m.0dj414d): Location
10. Last Push (fb:m.012tlgps)

[Assistant]
The correct entity for La Push is `fb:m.089q9r`. Now, let's find the country where La Push is located. We can use the property `located in` or `country`.

Let's search for the property `located in` or `country` for the entity La Push.

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): Topic, Image
2. Postal codes (fb:location.citytown.postal_codes): City/Town/Village, Postal Code
3. Name (fb:type.object.name): Object, Text
4. Geolocation (fb:location.location.geolocation): Location, Geocode
5. Contained by (fb:location.location.containedby): Location
6. Description (fb:common.topic.description): Topic, Text
7. People born here (fb:location.location.people_born_here): Location, Person
8. Key (fb:type.object.key): Object, Key
9. Also known as (fb:common.topic.alias): Topic, Text
10. Population (fb:location.statistical_region.population): Statistical region, Dated Integer

No other items found

[Assistant]
The property `fb:location.location.containedby` seems to be the most relevant for finding the location where La Push is contained. Let's use this property to find the country where La Push is located.

```sparql
SELECT ?country WHERE {
  fb:m.089q9r fb:location.location.containedby ?country .
}
```

I will now execute this query to see the results.

[Tool]
Got 2 rows and 1 column:
| country                     |
| --------------------------- |
| Washington (fb:m.081yw)     |
| Clallam County (fb:m.0mmty) |

[Assistant]
The query returned two locations where La Push is contained: Washington and Clallam County. To determine the country, we need to find the country where Washington is located.

Let's search for the entity "Washington" and then find its country.

[Tool]
Top 10 entity alternatives:
1. Washington, D.C., also known as U.S. Capital, Washington DC, Washington D.C., Washington, The District of Columbia (fb:m.0rh6k): Washington, D.C., formally the District of Columbia and commonly... city's population to more than one million during the workweek., City/Town/Village
2. Washington, also known as WA, Wash, Washington, Madras (fb:m.081yw): Washington /ˈwɒʃɪŋtən/ is a state in the Pacific Northwest regio...e east, central, and south, given over to intensive agriculture., US State
3. Washington, also known as Washington County / Washington city, Washington, Pennsylvania (fb:m.0_gcm): Washington is a city in and the county seat of Washington County...part of the state. The population was 13,663 at the 2010 census., City/Town/Village
4. Washington, also known as Beaufort County / Washington city, Washington Heights, Washington Heights, North Carolina, Washington, North Carolina (fb:m.0yd75): Washington, commonly known as Little Washington, is a city in Be...ter George Washington, the first president of the United States., City/Town/Village
5. Washington, also known as Washington, Utah, Washington County / Washington city (fb:m.010h5m): Washington is a city in Washington County, Utah, United States a... was 8,186 at the 2000 census, and 18,761 as of the 2010 Census., City/Town/Village
6. Washington, also known as Washington County / Washington city, Washington, Iowa (fb:m.0t44w): Washington is a city in and the county seat of Washington County...n Statistical Area. The population was 7,266 at the 2010 census., City/Town/Village
7. Washington, also known as Washington, Georgia, Wilkes County / Washington city (fb:m.0r_48): Washington is a city in Wilkes County, Georgia, United States. T...eum, and the recently restored Fitzpatrick Hotel, built in 1899., City/Town/Village
8. Washington, also known as Tazewell County / Washington city, Washington, Illinois (fb:m.0shfd): Washington is a city in Tazewell County, Illinois, United States... was 15,134 at the 2010 census, a 39.6 percent change from 2000., City/Town/Village
9. Washington, also known as Daviess County / Washington city, Washington, Indiana (fb:m.0sksk): Washington is a city in Daviess County, Indiana, United States. ... the 2010 census. The city is the county seat of Daviess County., City/Town/Village
10. Washington, also known as Franklin County / Washington city, Washington, Missouri (fb:m.0wvld): Washington is a city on the Missouri River in Franklin County, M...f the world, with Missouri Meerschaum located on the riverfront., City/Town/Village

[Assistant]
The correct entity for the state of Washington is `fb:m.081yw`. Now, let's find the country where Washington is located. We can use the same property `fb:location.location.containedby` to find the country.

```sparql
SELECT ?country WHERE {
  fb:m.081yw fb:location.location.containedby ?country .
}
```

I will now execute this query to see the results.

[Tool]
Got 7 rows and 1 column:
| country                                        |
| ---------------------------------------------- |
| West Coast of the United States (fb:m.017l04)  |
| Pacific States (fb:m.03p_7s)                   |
| Contiguous United States (fb:m.04_1l0v)        |
| Northwestern United States (fb:m.0663hr)       |
| United States of America (fb:m.09c7w0)         |
| United States, with Territories (fb:m.0hzc9m5) |
| Pacific Northwest (fb:m.0kfb0)                 |

[Assistant]
The query returned multiple regions where Washington is contained, but the most relevant one is the United States of America (`fb:m.09c7w0`).

Therefore, the nationality of both Taylor Lautner and Jacob Black (the character he plays) is the United States of America.

Here is the final SPARQL query and answer:

```sparql
SELECT ?nationality WHERE {
  fb:m.07ldhs fb:people.person.nationality ?nationality .
  fb:m.02qd_td fb:fictional_universe.fictional_character.place_of_birth ?placeOfBirth .
  ?placeOfBirth fb:location.location.containedby* ?country .
  FILTER (?country = fb:m.09c7w0)
}
```

Answer: The nationality of Taylor Lautner and Jacob Black is the United States of America.

[Tool] Stopped generation process


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

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

New England is part of the Northeastern United States.

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

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

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

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

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

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

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

[Tool]
Example 1:
Question:
what games did bungie make?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09h57 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09h57 fb:cvg.cvg_developer.games_developed ?x .
}

Using entities:
Bungie, also known as Bungie Studios, Bungie Software Products Corporation, Bungie Inc., Bungie Software, Bungie (fb:m.09h57): Bungie, Inc. is an American video game developer located in Bell... and statistics-tracking and integration with many of its games., Video Game Developer

Using properties:
Games Developed (fb:cvg.cvg_developer.games_developed): Video Game Developer, Video game

Example 2:
Question:
what year did the mets win their first world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05g76 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05g76 fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.championship fb:m.0fjp3 .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
New York Mets, also known as The Miracle Mets, The Metropolitans, The Amazin's (fb:m.05g76): The New York Mets are an American professional baseball team bas...is considered one of the biggest upsets in World Series history., Professional Sports Team
World Series, also known as The Series, The MLB World Series, MLB World Series, Major League Baseball World Series, Fall Classic (fb:m.0fjp3): The World Series is the annual championship series of North Amer...x have played in 12 and won 8, including the first World Series., Sports League Championship

Using properties:
Championship (fb:sports.sports_championship_event.championship): Sports League Championship Event, Sports League Championship
Championships (fb:sports.sports_team.championships): Sports League Championship Event, Sports Team
Start date (fb:time.event.start_date): Date/Time, Event

Example 3:
Question:
what did copernicus invented?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vvm4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vvm4 fb:base.argumentmaps.innovator.original_ideas ?x .
}

Using entities:
Nicolaus Copernicus, also known as Niclas Koppernigk, Nikolaus Kopernikus, Nicolò Copernico, Mikołaj Kopernik (fb:m.01vvm4): Nicolaus Copernicus was a Renaissance mathematician and astronom...ormulated a version of what later became known as Gresham's law., Astronomer

Using properties:
Original ideas (fb:base.argumentmaps.innovator.original_ideas): Original idea, Innovator

[Assistant] Based on the examples, we need to identify the entity for "New England" and then find out what part of the country it belongs to. Let's start by searching for the entity "New England".

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

[Assistant]
The top result is the region "New England" (fb:m.029jpy). Now, let's find out what part of the country New England is. We need to look for a property that indicates the location or region of New England.

Let's search for properties related to "location" or "region" for the entity "New England".

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

No other items found

[Assistant]
The property "Geolocation" (fb:location.location.geolocation) seems relevant for determining the location of New England. However, it might not directly tell us what part of the country it is. Let's try another approach by looking for a property that indicates the broader region or part of the country.

Let's search for properties related to "part of" or "region" for the entity "New England".

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

No other items found

[Assistant]
The property "Contained by" (fb:location.location.containedby) seems relevant for determining what part of the country New England is contained within. Let's use this property in a SPARQL query to find out what part of the country New England is.

Here is the SPARQL query:

```sparql
SELECT ?partOfCountry WHERE {
  fb:m.029jpy fb:location.location.containedby ?partOfCountry .
}
```

Let's execute this query.

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

[Assistant]
The results show that New England is part of the Northeastern United States, Eastern United States, and the United States of America. The most specific and relevant answer to the question "What part of the country is New England?" is the Northeastern United States.

Here is the final SPARQL query and answer:

```sparql
SELECT ?partOfCountry WHERE {
  fb:m.029jpy fb:location.location.containedby ?partOfCountry .
}
```

Answer: New England is part of the Northeastern United States.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process