Triple
T8952247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Wyandotte |
E213380
|
entity |
| Predicate | hasPlumageDescription |
P4572
|
FINISHED |
| Object | glossy black 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: glossy black plumage | Statement: [Black Wyandotte, hasPlumageDescription, glossy black plumage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlumageDescription Context triple: [Black Wyandotte, hasPlumageDescription, glossy black plumage]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
femalePlumageFeature
Indicates that the specified plumage feature is characteristic of the female individual in a species.
-
C.
plumageColorCommon
Indicates that two entities share the same typical or most frequently observed plumage color.
-
D.
plumageColorSource
Indicates the relationship by which the color of an entity’s plumage is derived from or attributed to a particular source.
-
E.
nonBreedingPlumageColor
Indicates the coloration an organism displays in its non-breeding (non-reproductive) plumage phase.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670dc0c88190b1f59e96ad88e4ee |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.