Triple
T27408128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baniata people |
E692063
|
entity |
| Predicate | usesLanguageType |
P45585
|
FINISHED |
| Object | Austronesian language family (probable) |
—
|
LITERAL 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: Austronesian language family (probable) | Statement: [Baniata people, usesLanguageType, Austronesian language family (probable)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLanguageType Context triple: [Baniata people, usesLanguageType, Austronesian language family (probable)]
-
A.
hasLanguageType
chosen
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
B.
usesLanguageFor
Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
-
C.
usesLanguageAs
Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
-
D.
mayUseLanguagesOf
Indicates that an entity is permitted to use the languages associated with another entity.
-
E.
usesLanguageRegister
Indicates that an entity communicates using a particular language register or style (e.g., formal, informal, technical) in a given context.
- F. None of above.
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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 12:31 p.m.