Bom Jardim
E859169
Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bom Jardim canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10303312 — 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: Bom Jardim Context triple: [Região Serrana (Rio de Janeiro), hasCity, Bom Jardim]
-
A.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
B.
Pampilhosa da Serra
Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
-
C.
Laranjal Paulista
Laranjal Paulista is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional agricultural activities.
-
D.
Taboão da Serra
Taboão da Serra is a densely populated municipality in the São Paulo metropolitan area in southeastern Brazil.
-
E.
São Lourenço da Mata
São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
- 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: Bom Jardim Target entity description: Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
-
A.
Morrinhos
Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
-
B.
Pampilhosa da Serra
Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
-
C.
Laranjal Paulista
Laranjal Paulista is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional agricultural activities.
-
D.
Taboão da Serra
Taboão da Serra is a densely populated municipality in the São Paulo metropolitan area in southeastern Brazil.
-
E.
São Lourenço da Mata
São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | municipality ⓘ |
| areaCode | +55 22 ⓘ |
| callingCode | +55 ⓘ |
| country | Brazil ⓘ |
| countrySubdivisionType | state ⓘ |
| demographicsType | population ⓘ |
| elevation | approximately 574 metres ⓘ |
| hasCharacteristic | rural landscapes ⓘ |
| hasClimate | mild climate ⓘ |
| hasGovernmentType | municipal government ⓘ |
| hasUrbanRuralCharacter | predominantly rural ⓘ |
| isPartOf |
Federative Republic of Brazil
ⓘ
linked to:
Brazil
|
| locatedIn |
Região Serrana do Rio de Janeiro
ⓘ
linked to:
Região Serrana
Rio de Janeiro (state) ⓘ
linked to:
State of Rio de Janeiro
Southeast Region, Brazil ⓘ
linked to:
Southeast Region of Brazil
|
| locatedInContinent | South America ⓘ |
| locatedInMountainousArea | true ⓘ |
| officialLanguage |
Portuguese
ⓘ
linked to:
Portuguese language
|
| partOf |
mesoregion Centro Fluminense
ⓘ
microregion Nova Friburgo ⓘ |
| postalCodeType | CEP ⓘ |
| region |
Região Serrana do Rio de Janeiro
ⓘ
linked to:
Região Serrana
|
| state |
Rio de Janeiro (state)
ⓘ
linked to:
State of Rio de Janeiro
|
| timezone | UTC−03:00 ⓘ |
| timezoneDST | UTC−02:00 ⓘ |
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: Bom Jardim Description of subject: Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Região Serrana