BR-MS
E561457
BR-MS is the ISO 3166-2 subdivision code that uniquely identifies the Brazilian state of Mato Grosso do Sul.
All labels observed (1)
| Label | Occurrences |
|---|---|
| BR-MS canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6008458 — 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-MS Context triple: [Mato Grosso do Sul, ISO3166-2, BR-MS]
-
A.
BR2
BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
-
B.
BRIN
BRIN (Block Range Index) is a lightweight PostgreSQL index type optimized for very large tables by summarizing ranges of physical data blocks instead of indexing every individual row.
-
C.
MSA
MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
-
D.
MSA
MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
-
E.
MSA
MSA is the commonly used abbreviation for the Magnuson–Stevens Fishery Conservation and Management Act, the primary law governing marine fisheries management in U.S. federal waters.
- 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-MS Target entity description: BR-MS is the ISO 3166-2 subdivision code that uniquely identifies the Brazilian state of Mato Grosso do Sul.
-
A.
BR2
BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
-
B.
BRIN
BRIN (Block Range Index) is a lightweight PostgreSQL index type optimized for very large tables by summarizing ranges of physical data blocks instead of indexing every individual row.
-
C.
MSA
MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
-
D.
MSA
MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
-
E.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 code
ⓘ
subdivision code ⓘ |
| appliesToTerritory | federative unit of Mato Grosso do Sul ⓘ |
| codeCategory | ISO 3166-2:BR ⓘ |
| codeFormat | alpha-2 country code plus hyphen plus up to three characters ⓘ |
| country | Brazil ⓘ |
| countryCodePart | BR ⓘ |
| hasHyphen | true ⓘ |
| identifies | Mato Grosso do Sul ⓘ |
| isSubdivisionCodeOf | Brazil ⓘ |
| languageNeutral | true ⓘ |
| maintainedBy | ISO 3166 Maintenance Agency ⓘ |
| partOfStandardSeries | ISO 3166 ⓘ |
| relatedStandard | ISO 3166-1 ⓘ |
| standard |
ISO 3166-2
ⓘ
linked to:
ISO 3166
|
| standardOrganization | International Organization for Standardization ⓘ |
| subdivisionCodePart | MS ⓘ |
| subdivisionName | Mato Grosso do Sul ⓘ |
| subdivisionNameLanguage | Portuguese ⓘ |
| subdivisionType | state ⓘ |
| usedFor | identifying the state of Mato Grosso do Sul in data systems ⓘ |
| usedIn |
administrative subdivision coding
ⓘ
databases ⓘ geocoding ⓘ 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-MS Description of subject: BR-MS is the ISO 3166-2 subdivision code that uniquely identifies the Brazilian state of Mato Grosso do Sul.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.