Águas de Chapecó
E710574
Águas de Chapecó is a small municipality in the state of Santa Catarina, Brazil, known for its location along the Uruguay River and proximity to major hydroelectric infrastructure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Águas de Chapecó canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8080853 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Águas de Chapecó Context triple: [Foz do Chapecó Dam, locatedNearCity, Águas de Chapecó]
-
A.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
B.
Gualeguay
Gualeguay is a city in eastern Argentina known for its agricultural economy and location along the Gualeguay River in Entre Ríos Province.
-
C.
Rio Claro
Rio Claro is a town in southeastern Trinidad known as a commercial and transportation hub for the surrounding rural communities.
-
D.
Rio Claro
Rio Claro is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and regional educational institutions.
-
E.
Yaguará
Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Águas de Chapecó Target entity description: Águas de Chapecó is a small municipality in the state of Santa Catarina, Brazil, known for its location along the Uruguay River and proximity to major hydroelectric infrastructure.
-
A.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
B.
Gualeguay
Gualeguay is a city in eastern Argentina known for its agricultural economy and location along the Gualeguay River in Entre Ríos Province.
-
C.
Rio Claro
Rio Claro is a town in southeastern Trinidad known as a commercial and transportation hub for the surrounding rural communities.
-
D.
Rio Claro
Rio Claro is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and regional educational institutions.
-
E.
Yaguará
Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| borderedBy | Uruguay River ⓘ |
| continent | South America ⓘ |
| country | Brazil ⓘ |
| countrySubdivision | state of Santa Catarina ⓘ |
| governmentType | municipal government ⓘ |
| hasClimate | humid subtropical climate ⓘ |
| hasHydroelectricInfrastructure | true ⓘ |
| hasMunicipalStatus | true ⓘ |
| hasOfficialName | Águas de Chapecó ⓘ |
| isInCountry |
Federative Republic of Brazil
ⓘ
linked to:
Brazil
|
| ISO3166-2Code | BR-SC ⓘ |
| isPopulatedPlace | true ⓘ |
| languageUsed | Brazilian Portuguese ⓘ |
| locatedIn |
Santa Catarina
ⓘ
Southern Region of Brazil ⓘ
linked to:
South Region of Brazil
western Santa Catarina ⓘ
linked to:
Oeste Catarinense
|
| locatedInTimeZone | Brasília time ⓘ |
| locatedOnRiver | Uruguay River ⓘ |
| officialLanguage |
Portuguese
ⓘ
linked to:
Portuguese language
|
| partOf | Brazilian municipality system ⓘ |
| timeZone | UTC−03:00 ⓘ |
| timeZoneDST | UTC−02:00 ⓘ |
| usesCurrency | Brazilian real ⓘ |
| writingSystem | Latin alphabet ⓘ |
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.
Instruction
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.
Input
Subject: Águas de Chapecó Description of subject: Águas de Chapecó is a small municipality in the state of Santa Catarina, Brazil, known for its location along the Uruguay River and proximity to major hydroelectric infrastructure.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.