Triple
T1758919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acryllium |
E38610
|
entity |
| Predicate | hasFeatherPattern |
P4572
|
FINISHED |
| Object | spotted plumage |
—
|
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: spotted plumage | Statement: [Acryllium, hasFeatherPattern, spotted plumage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatherPattern Context triple: [Acryllium, hasFeatherPattern, spotted plumage]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
hasPhysicalFeature
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
C.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
D.
legFeathering
Indicates that an entity possesses feathers growing on or covering its legs.
-
E.
hasWings
Indicates that an entity possesses wings as physical appendages.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.