Triple
T36627764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hamiguitan Range Wildlife Sanctuary |
E904221
|
entity |
| Predicate | hasThreatenedSpecies |
P187096
|
FINISHED |
| Object | Philippine eagle |
—
|
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: Philippine eagle | Statement: [Mount Hamiguitan Range Wildlife Sanctuary, hasThreatenedSpecies, Philippine eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThreatenedSpecies Context triple: [Mount Hamiguitan Range Wildlife Sanctuary, hasThreatenedSpecies, Philippine eagle]
-
A.
hasProtectedSpecies
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
-
B.
hasConservationConcernIn
Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
-
C.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
-
D.
isEndangeredDueTo
Indicates that an entity is endangered as a result of the specific cause or factor represented by the related entity.
-
E.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
- F. None of above. chosen
Provenance (4 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:11 p.m.