Triple
T13377176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coracholan |
E319216
|
entity |
| Predicate | hasEndangermentContext |
P16824
|
FINISHED |
| Object | member languages classified as vulnerable or endangered |
—
|
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: member languages classified as vulnerable or endangered | Statement: [Coracholan, hasEndangermentContext, member languages classified as vulnerable or endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndangermentContext Context triple: [Coracholan, hasEndangermentContext, member languages classified as vulnerable or endangered]
-
A.
isEndangeredDueTo
Indicates that an entity is endangered as a result of the specific cause or factor represented by the related entity.
-
B.
endangerment
chosen
Indicates a relationship in which one entity exposes another to potential harm, risk, or danger.
-
C.
hasConservationConcernIn
Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
-
D.
isThreatenedCategory
Indicates that an entity belongs to a category facing risk of harm, decline, or extinction.
-
E.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce3fec48190a5443d87c85477a3 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.