Triple
T8948324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamboa |
E213278
|
entity |
| Predicate | wildlifeObservation |
P76236
|
FINISHED |
| Object | neotropical 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: neotropical birds | Statement: [Gamboa, wildlifeObservation, neotropical birds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeObservation Context triple: [Gamboa, wildlifeObservation, neotropical birds]
-
A.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
B.
birdDiversity
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
-
C.
faunaNote
chosen
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
D.
hasWildlifeSite
Indicates that a location or entity possesses, contains, or is designated as a wildlife site.
-
E.
featuresAnimalsFrom
Indicates that one entity includes, presents, or showcases animals originating from or associated with another entity.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6709c7a48190ab503083a1d6a29f |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.