Triple
T35075529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross River gorilla |
E1011999
|
entity |
| Predicate | countryOfConservationAction |
—
|
GENERATED |
| Object | Nigeria |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfConservationAction Context triple: [Cross River gorilla, countryOfConservationAction, Nigeria]
-
A.
countryOfConservationProgram
chosen
Indicates the country in which a given conservation program is implemented or officially associated.
-
B.
countryOfProtectedArea
Indicates that a protected natural area is located within and legally belongs to a specific country.
-
C.
conservationListedBy
Indicates that an entity is recognized or recorded as a conservation concern by a specific authority, organization, or listing body.
-
D.
conservationActions
Indicates actions or measures undertaken to protect, restore, or sustainably manage a species, habitat, or ecosystem.
-
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.
Provenance (1 batch)
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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.