US-MT
E199642
US-MT is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of Montana.
All labels observed (1)
| Label | Occurrences |
|---|---|
| US-MT canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1769825 — 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: US-MT Context triple: [Montana, ISOCode, US-MT]
-
A.
US-ME
US-ME is the ISO 3166-2 code representing the U.S. state of Maine.
-
B.
US-MS
US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
-
C.
US-UT
US-UT is the ISO 3166-2 subdivision code representing the U.S. state of Utah.
-
D.
US-CT
US-CT is the ISO 3166-2 code representing the U.S. state of Connecticut.
-
E.
UT
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
- 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: US-MT Target entity description: US-MT is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of Montana.
-
A.
US-ME
US-ME is the ISO 3166-2 code representing the U.S. state of Maine.
-
B.
US-MS
US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
-
C.
US-UT
US-UT is the ISO 3166-2 subdivision code representing the U.S. state of Utah.
-
D.
US-CT
US-CT is the ISO 3166-2 code representing the U.S. state of Connecticut.
-
E.
UT
UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 code
ⓘ
subdivision code ⓘ |
| appliesTo | contiguous U.S. state of Montana ⓘ |
| assignedBy | International Organization for Standardization ⓘ |
| assignedUnder | ISO 3166 Maintenance Agency ⓘ |
| codeElement | MT ⓘ |
| codeStructure | US-XX ⓘ |
| countryCode | US ⓘ |
| identifies | first-level administrative subdivision ⓘ |
| isSubdivisionCodeFor | ISO 3166-1 alpha-2 code US ⓘ |
| languageOfSubdivisionName | English ⓘ |
| partOf | ISO 3166-2:US ⓘ |
| regionCodeScope | subnational ⓘ |
| represents | Montana ⓘ |
| representsSubdivisionOf |
United States of America
ⓘ
surface form:
United States
|
| standard |
ISO 3166
ⓘ
surface form:
ISO 3166-2
|
| status | active ⓘ |
| subdivisionCategory | state ⓘ |
| subdivisionName | Montana ⓘ |
| territorialType | federal state ⓘ |
| usedIn |
data interchange
ⓘ
databases ⓘ geocoding ⓘ international standards ⓘ |
| usesSeparator | hyphen ⓘ |
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: US-MT Description of subject: US-MT is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of Montana.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.