Triple
T11629471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bearded vulture |
E276356
|
entity |
| Predicate | notableAnatomy |
P45022
|
FINISHED |
| Object | beard-like tuft of black feathers below the beak |
—
|
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: beard-like tuft of black feathers below the beak | Statement: [Bearded vulture, notableAnatomy, beard-like tuft of black feathers below the beak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAnatomy Context triple: [Bearded vulture, notableAnatomy, beard-like tuft of black feathers below the beak]
-
A.
anatomicalFeature
chosen
Indicates that one entity is an anatomical part, structure, or feature of another entity.
-
B.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
-
C.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
D.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
E.
limbMorphology
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.