Triple
T19495545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nendö language |
E487759
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Temotu |
—
|
NE NERFINISHED |
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: [Nendö language, languageFamily, Temotu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temotu Context triple: [Nendö language, languageFamily, 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.
Faleula
Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
-
C.
Tui Macuata
Tui Macuata is the chiefly title of the paramount traditional leader of Fiji’s Macuata province in Vanua Levu.
-
D.
Central Malaita
Central Malaita is a region in Malaita Province of the Solomon Islands, known for its indigenous communities and local languages such as Kwaio.
-
E.
Vavaʻu
Vavaʻu is a scenic island group in northern Tonga known for its sheltered harbors, sailing, and whale-watching opportunities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63490c16481908423e304d82722d7 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.