Triple
T6641194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vella Lavella language |
E150588
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Bilua language |
E145900
|
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: Bilua language | Statement: [Vella Lavella language, isRelatedTo, Bilua language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilua language Context triple: [Vella Lavella language, isRelatedTo, Bilua language]
-
A.
Bilua language
chosen
The Bilua language is a Papuan language spoken primarily on Vella Lavella Island in the Solomon Islands.
-
B.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
C.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
-
D.
Kulisusu language
The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
-
E.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff42c748190b818cf55f83647cb |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf9c57c8190b617d21bb2b46b1e |
completed | March 27, 2026, 6:27 p.m. |
Created at: March 27, 2026, 2 p.m.