WF-MTU
E884457
WF-MTU is the ISO 3166-2 code designating the capital district of Mata-Utu in the French overseas collectivity of Wallis and Futuna.
All labels observed (1)
| Label | Occurrences |
|---|---|
| WF-MTU canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10755194 — 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: WF-MTU Context triple: [Mata-Utu, ISO3166-2, WF-MTU]
-
A.
WF
WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
-
B.
WF
WF is the common abbreviation for Windows Workflow Foundation, a Microsoft technology for building workflow-enabled applications within the .NET framework.
-
C.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
D.
UFM
UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
-
E.
WIF
WIF is the ICAO airline designator assigned to Widerøe, a regional airline based in Norway.
- 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: WF-MTU Target entity description: WF-MTU is the ISO 3166-2 code designating the capital district of Mata-Utu in the French overseas collectivity of Wallis and Futuna.
-
A.
WF
WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
-
B.
WF
WF is the common abbreviation for Windows Workflow Foundation, a Microsoft technology for building workflow-enabled applications within the .NET framework.
-
C.
FMU
FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
-
D.
UFM
UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
-
E.
WIF
WIF is the ICAO airline designator assigned to Widerøe, a regional airline based in Norway.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 code
ⓘ
subdivision code ⓘ |
| appliesTo | capital district of Wallis and Futuna ⓘ |
| codeFormat | alpha-2 country code plus hyphen plus three-letter subdivision code ⓘ |
| countrySubdivisionOf | Wallis and Futuna NERFINISHED ⓘ |
| hasCapital | Mata-Utu NERFINISHED ⓘ |
| hasCountryCode | WF ⓘ |
| hasJurisdictionLanguage | French ⓘ |
| hasParentSubdivisionCode | WF ⓘ |
| hasSubdivisionCategory | district ⓘ |
| hasSubdivisionIdentifier | MTU NERFINISHED ⓘ |
| hasTerritorialContext | South Pacific Ocean NERFINISHED ⓘ |
| isMaintainedBy | International Organization for Standardization NERFINISHED ⓘ |
| isPartOfStandard | ISO 3166-2 NERFINISHED ⓘ |
| isSubdivisionCodeFor | Mata-Utu NERFINISHED ⓘ |
| isSubdivisionCodeIn | French overseas collectivity of Wallis and Futuna NERFINISHED ⓘ |
| isUsedFor | administrative subdivision identification ⓘ |
| isUsedIn |
databases
ⓘ
geocoding ⓘ international standards ⓘ statistical reporting ⓘ |
| represents |
Mata-Utu district
NERFINISHED
ⓘ
capital district of Mata-Utu ⓘ |
| standardizedIn | ISO 3166 NERFINISHED ⓘ |
| usesScript | Latin alphabet ⓘ |
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: WF-MTU Description of subject: WF-MTU is the ISO 3166-2 code designating the capital district of Mata-Utu in the French overseas collectivity of Wallis and Futuna.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.