Triple
T11024533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallis (ʻUvea) |
E260581
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Mata-Utu |
E253671
|
NE FINISHED |
How this triple was built (2 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: Mata-Utu | Statement: [Wallis (ʻUvea), capital, Mata-Utu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mata-Utu Context triple: [Wallis (ʻUvea), capital, Mata-Utu]
-
A.
Mata-Utu
chosen
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
B.
Tairua
Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
-
C.
Tiaro
Tiaro is a small rural town in Queensland, Australia, situated within the Fraser Coast Region and known for its agricultural surroundings and historic charm.
-
D.
Tapuaetai
Tapuaetai is a small, picturesque islet in the Aitutaki Lagoon of the Cook Islands, famed for its white-sand beaches and turquoise waters.
-
E.
Pitumpanua
Pitumpanua is a town and district-level settlement in Wajo Regency, South Sulawesi, Indonesia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:25 p.m.