Triple
T13416452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binsar Wildlife Sanctuary |
E313226
|
entity |
| Predicate | avifauna |
P59401
|
FINISHED |
| Object | over 200 bird species |
—
|
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: over 200 bird species | Statement: [Binsar Wildlife Sanctuary, avifauna, over 200 bird species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: avifauna Context triple: [Binsar Wildlife Sanctuary, avifauna, over 200 bird species]
-
A.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
birdDiversity
chosen
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
-
C.
birdFamily
Indicates that one entity belongs to, or is classified within, the same bird family as another entity.
-
D.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
E.
isLandBird
Indicates that the subject is a bird species that primarily lives on land rather than in aquatic or marine environments.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.