Triple
T19471263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainforest Discovery Centre |
E487127
|
entity |
| Predicate | typicalFaunaObserved |
P111243
|
FINISHED |
| Object | Bornean birds |
—
|
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: Bornean birds | Statement: [Rainforest Discovery Centre, typicalFaunaObserved, Bornean birds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFaunaObserved Context triple: [Rainforest Discovery Centre, typicalFaunaObserved, Bornean birds]
-
A.
typicalWildlifeObserved
chosen
Indicates that certain wildlife species are commonly or characteristically observed in a given area or context.
-
B.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
C.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
D.
typicalTargetSpecies
Indicates the species that is most commonly or characteristically targeted or affected by a given action, process, or agent.
-
E.
faunaDiversity
Indicates the variety and richness of animal species present within a given area or ecosystem.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e8d9188190a4939f03bad89add |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.