Triple
T4411182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaiian goose |
E94856
|
entity |
| Predicate | previousIucnStatus |
P56114
|
FINISHED |
| Object | 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: Endangered | Statement: [Hawaiian goose, previousIucnStatus, Endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousIucnStatus Context triple: [Hawaiian goose, previousIucnStatus, Endangered]
-
A.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
B.
IUCNStatusSystem
Indicates the conservation status classification framework used to assign an IUCN threat category to a species or taxon.
-
C.
stateOfConservation
Indicates the condition or preservation status of an entity, typically in terms of how intact, degraded, or at risk it is.
-
D.
iucnAssessmentYear
Indicates the year in which the IUCN conservation status assessment for an entity was conducted or published.
-
E.
typeOfConservation
Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:29 p.m.