Triple
T6702584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baliwon language |
E152915
|
entity |
| Predicate | likelyEndangeredStatus |
P1339
|
FINISHED |
| Object | potentially endangered or vulnerable |
—
|
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: potentially endangered or vulnerable | Statement: [Baliwon language, likelyEndangeredStatus, potentially endangered or vulnerable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyEndangeredStatus Context triple: [Baliwon language, likelyEndangeredStatus, potentially endangered or vulnerable]
-
A.
possiblyExtinctBy
Indicates that an entity is believed or suspected to have gone extinct as a result of the specified cause or agent.
-
B.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
-
C.
conservationStatus
chosen
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
D.
endangeredStatusSource
Indicates the authority, reference, or system from which an entity’s endangered or conservation status is derived.
-
E.
areEndangeredInPart
Indicates that an entity is endangered only in certain regions or parts of its overall range, rather than throughout its entire distribution.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.