Triple
T4444358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonouti |
E96244
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Temotu |
E114574
|
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: Temotu | Statement: [Nonouti, hasSettlement, Temotu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temotu Context triple: [Nonouti, hasSettlement, Temotu]
-
A.
Temotu Province
chosen
Temotu Province is the easternmost province of the Solomon Islands, comprising remote islands and atolls known for their distinct Polynesian and Melanesian cultures.
-
B.
Vavaʻu
Vavaʻu is a scenic island group in northern Tonga known for its sheltered harbors, sailing, and whale-watching opportunities.
-
C.
Tolitoli
Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
-
D.
Taveuni
Taveuni is Fiji’s third-largest island, famed for its lush rainforests, rich biodiversity, and world-class diving sites along the Somosomo Strait.
-
E.
Faleasao
Faleasao is a small coastal village and harbor community located on the island of Taʻū in American Samoa.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62818295481909c0ffa377570effc |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.