Triple
T1528193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European starling |
E32382
|
entity |
| Predicate | plumageCharacteristic |
P4572
|
FINISHED |
| Object | iridescent feathers |
—
|
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: iridescent feathers | Statement: [European starling, plumageCharacteristic, iridescent feathers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plumageCharacteristic Context triple: [European starling, plumageCharacteristic, iridescent feathers]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
C.
eagleBeakColor
Indicates the color attribute associated with the beak of an eagle.
-
D.
underpartsColor
Indicates the color characteristic of the lower surface or underside of an entity’s body.
-
E.
beakType
Indicates the specific form or structure of an entity’s beak, characterizing how it is shaped or adapted.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.