Paraná state
E205414
Paraná state is a southern Brazilian state known for its diverse landscapes, major agricultural production, and popular natural attractions including part of the Iguaçu National Park.
All labels observed (8)
| Label | Occurrences |
|---|---|
| State of Paraná | 4 |
| Paraná (state) | 2 |
| Paraná state canonical | 2 |
| state of Paraná | 2 |
| Campos Gerais do Paraná | 1 |
| Paraná (Brazilian state) | 1 |
| Rolândia | 1 |
| state government of Paraná | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1260078 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Paraná state Context triple: [Iguazu Falls, locatedIn, Paraná state]
-
A.
Mato Grosso do Sul
Mato Grosso do Sul is a landlocked state in Brazil’s Center-West region, known for its vast Pantanal wetlands, rich biodiversity, and cattle ranching economy.
-
B.
Minas Gerais
Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
-
C.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
D.
Bahia
Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
-
E.
Piauí
Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Paraná state Target entity description: Paraná state is a southern Brazilian state known for its diverse landscapes, major agricultural production, and popular natural attractions including part of the Iguaçu National Park.
-
A.
Mato Grosso do Sul
Mato Grosso do Sul is a landlocked state in Brazil’s Center-West region, known for its vast Pantanal wetlands, rich biodiversity, and cattle ranching economy.
-
B.
Minas Gerais
Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
-
C.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
D.
Bahia
Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
-
E.
Piauí
Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf | state of Brazil ⓘ |
| borderedBy |
Argentina
ⓘ
Atlantic Ocean ⓘ Mato Grosso do Sul ⓘ
surface form:
Mato Grosso do Sul (state)
Paraguay ⓘ Santa Catarina ⓘ
surface form:
Santa Catarina (state)
state of São Paulo ⓘ
surface form:
São Paulo (state)
|
| capital | Curitiba ⓘ |
| contains |
Brazilian Highlands
ⓘ
surface form:
Guarapuava Plateau
Iguazu Falls ⓘ
surface form:
Iguaçu Falls
Iguazú National Park ⓘ
surface form:
Iguaçu National Park
Iguazu River ⓘ
surface form:
Iguaçu River
Ilha do Mel ⓘ Itaipu Lake ⓘ Ivaí River ⓘ Paranapanema River (section) ⓘ Paraná River ⓘ
surface form:
Paraná River (section)
Serra do Mar system ⓘ
surface form:
Serra do Mar (Paraná section)
Tibagi River ⓘ |
| country | Brazil ⓘ |
| demonym | paranaense ⓘ |
| hasAirport |
Curitiba-Afonso Pena International Airport
ⓘ
surface form:
Afonso Pena International Airport
|
| hasCity |
Cascavel
ⓘ
Foz do Iguaçu ⓘ Londrina ⓘ Maringá ⓘ Ponta Grossa ⓘ |
| hasClimate | subtropical climate ⓘ |
| hasPort | Port of Paranaguá ⓘ |
| hasProtectedArea |
Guaricana National Park
ⓘ
Iguazú National Park ⓘ
surface form:
Iguaçu National Park
Saint-Hilaire/Lange National Park ⓘ Superagui National Park ⓘ |
| hasUNESCOWorldHeritageSite |
Iguazú National Park
ⓘ
surface form:
Iguaçu National Park
|
| hasUniversity | Federal University of Paraná ⓘ |
| knownFor |
coffee production
ⓘ
corn production ⓘ diverse landscapes ⓘ hydroelectric power generation ⓘ major agricultural production ⓘ pork production ⓘ poultry production ⓘ soybean production ⓘ timber industry ⓘ yerba mate production ⓘ |
| largestCity | Curitiba ⓘ |
| locatedIn |
South Region of Brazil
ⓘ
surface form:
Southern Region, Brazil
|
| officialLanguage | Portuguese ⓘ |
| partOf |
Brazil
ⓘ
surface form:
Federative Republic of Brazil
|
| timeZone | UTC−03:00 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Paraná state Description of subject: Paraná state is a southern Brazilian state known for its diverse landscapes, major agricultural production, and popular natural attractions including part of the Iguaçu National Park.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.