BR-MG
E715952
BR-MG is the ISO 3166-2 code that designates the Brazilian state of Minas Gerais.
All labels observed (1)
| Label | Occurrences |
|---|---|
| BR-MG canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8169517 — 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: BR-MG Context triple: [Minas Gerais, ISOCode, BR-MG]
-
A.
Juiz de Fora
Juiz de Fora is a major industrial and university city in the state of Minas Gerais, known for its strategic location between Rio de Janeiro, São Paulo, and Belo Horizonte.
-
B.
Belo Horizonte
Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic life.
-
C.
Goiânia
Goiânia is the capital and largest city of the Brazilian state of Goiás, known as a major regional center for agriculture, industry, and services in central Brazil.
-
D.
São Gonçalo
São Gonçalo is a large municipality in the state of Rio de Janeiro, Brazil, forming part of the metropolitan area of Rio de Janeiro and known for its dense urban character and industrial activity.
-
E.
Guarulhos
Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
- 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: BR-MG Target entity description: BR-MG is the ISO 3166-2 code that designates the Brazilian state of Minas Gerais.
-
A.
Juiz de Fora
Juiz de Fora is a major industrial and university city in the state of Minas Gerais, known for its strategic location between Rio de Janeiro, São Paulo, and Belo Horizonte.
-
B.
Belo Horizonte
Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic life.
-
C.
Goiânia
Goiânia is the capital and largest city of the Brazilian state of Goiás, known as a major regional center for agriculture, industry, and services in central Brazil.
-
D.
São Gonçalo
São Gonçalo is a large municipality in the state of Rio de Janeiro, Brazil, forming part of the metropolitan area of Rio de Janeiro and known for its dense urban character and industrial activity.
-
E.
Guarulhos
Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 code
ⓘ
subdivision code ⓘ |
| assignedBy | International Organization for Standardization ⓘ |
| assignedByBody | ISO 3166 Maintenance Agency NERFINISHED ⓘ |
| belongsToEntrySet | ISO 3166-2:BR subdivision list NERFINISHED ⓘ |
| codeElement | MG ⓘ |
| country | Brazil ⓘ |
| countryCodePart | BR ⓘ |
| hasHyphenSeparator | true ⓘ |
| language | code elements are language-neutral ⓘ |
| notationFormat | alpha-2 country code plus hyphen plus subdivision code ⓘ |
| partOfStandard | ISO 3166 ⓘ |
| prefix | BR ⓘ |
| regionCodeSystem | ISO 3166-2:BR NERFINISHED ⓘ |
| represents | Minas Gerais NERFINISHED ⓘ |
| scope | principal subdivisions of Brazil ⓘ |
| standard | ISO 3166-2 NERFINISHED ⓘ |
| status | active code ⓘ |
| subdivisionCategory | state ⓘ |
| subdivisionCodePart | MG ⓘ |
| subdivisionName | Minas Gerais NERFINISHED ⓘ |
| subdivisionOf |
BR
ⓘ
Federative Republic of Brazil NERFINISHED ⓘ |
| subdivisionType | state of Brazil ⓘ |
| usedFor | identifying the state of Minas Gerais ⓘ |
| usedIn |
databases
ⓘ
geocoding systems ⓘ international standards ⓘ statistical reporting ⓘ |
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: BR-MG Description of subject: BR-MG is the ISO 3166-2 code that designates the Brazilian state of Minas Gerais.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.