Triple
T18527305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neofelis nebulosa |
E452749
|
entity |
| Predicate | ankleFlexibility |
P23297
|
FINISHED |
| Object | high, enabling head-first descent of trees |
—
|
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: high, enabling head-first descent of trees | Statement: [Neofelis nebulosa, ankleFlexibility, high, enabling head-first descent of trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ankleFlexibility Context triple: [Neofelis nebulosa, ankleFlexibility, high, enabling head-first descent of trees]
-
A.
positionFlexibility
Indicates the degree to which an entity’s role, location, or alignment can change or be adjusted relative to others or to a reference point.
-
B.
flexibility
Indicates the degree to which an entity can adapt, bend, or change its behavior, structure, or response in relation to other entities or conditions.
-
C.
archLength
Indicates the measured length of an arch-shaped structure or path between two defined points.
-
D.
legs
Indicates that an entity possesses legs, specifying the presence or number of leg-like appendages associated with it.
-
E.
legCharacteristic
chosen
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.