Ribeirópolis
E584612
Ribeirópolis is a municipality in the Brazilian state of Sergipe, located in the semi-arid Sertão region and known for its agricultural activities and small-town character.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ribeirópolis canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6302433 — 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: Ribeirópolis Context triple: [Sertão Sergipano, hasMunicipality, Ribeirópolis]
-
A.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
B.
Itapetininga
Itapetininga is a municipality in southeastern Brazil known for its agricultural activities and regional commercial importance within the state of São Paulo.
-
C.
Itanhaém
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
D.
Mourão
Mourão is a small municipality in Portugal’s Alentejo region, known for its historic castle and proximity to the Alqueva Reservoir.
-
E.
Taquaritinga
Taquaritinga is a municipality in the interior of Brazil’s São Paulo state, known for its agricultural production and regional commerce.
- 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: Ribeirópolis Target entity description: Ribeirópolis is a municipality in the Brazilian state of Sergipe, located in the semi-arid Sertão region and known for its agricultural activities and small-town character.
-
A.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
B.
Itapetininga
Itapetininga is a municipality in southeastern Brazil known for its agricultural activities and regional commercial importance within the state of São Paulo.
-
C.
Itanhaém
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
D.
Mourão
Mourão is a small municipality in Portugal’s Alentejo region, known for its historic castle and proximity to the Alqueva Reservoir.
-
E.
Taquaritinga
Taquaritinga is a municipality in the interior of Brazil’s São Paulo state, known for its agricultural production and regional commerce.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| administrativeDivisionOf | Brazil ⓘ |
| climate | semi-arid ⓘ |
| country | Brazil ⓘ |
| countrySubdivisionName | Sergipe ⓘ |
| countrySubdivisionType | state ⓘ |
| currency | Brazilian real ⓘ |
| demographicsType | rural population ⓘ |
| economySector |
agriculture
ⓘ
livestock ⓘ |
| governingBody | municipal government of Ribeirópolis ⓘ |
| hasGovernmentType | municipal government in Brazil ⓘ |
| hasMunicipalStatus | municipality of Sergipe ⓘ |
| hasTimezone | Brasília Time ⓘ |
| isoCountryCode | BR ⓘ |
| knownFor |
agricultural activities
ⓘ
small-town character ⓘ |
| language | Portuguese ⓘ |
| locatedIn |
Northeast Region of Brazil
ⓘ
Sergipe ⓘ Sertão ⓘ
linked to:
Sertão Sergipano
semi-arid region ⓘ |
| locatedOnContinent | South America ⓘ |
| officialLanguage | Portuguese ⓘ |
| partOf |
mesoregion Agreste Sergipano
ⓘ
microregion Agreste de Itabaiana ⓘ
linked to:
microregion of Agreste de Itabaiana
|
| region |
Northeast Brazil
ⓘ
linked to:
Northeast Region of Brazil
|
| state | Sergipe ⓘ |
| utcOffset | 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.
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: Ribeirópolis Description of subject: Ribeirópolis is a municipality in the Brazilian state of Sergipe, located in the semi-arid Sertão region and known for its agricultural activities and small-town character.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.