Triple
T10755194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata-Utu |
E253671
|
entity |
| Predicate | ISO3166-2 |
P189
|
FINISHED |
| Object |
WF-MTU
WF-MTU is the ISO 3166-2 code designating the capital district of Mata-Utu in the French overseas collectivity of Wallis and Futuna.
|
E884457
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WF-MTU | Statement: [Mata-Utu, ISO3166-2, WF-MTU]
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.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WF-MTU Triple: [Mata-Utu, ISO3166-2, WF-MTU]
Generated 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.
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
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2dff4a048190823c8b5f1f7ea548 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:15 p.m.