Triple
T1758942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | helmeted guineafowl |
E38611
|
entity |
| Predicate | hasPlumage |
P4572
|
FINISHED |
| Object | gray plumage with white spots |
—
|
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: gray plumage with white spots | Statement: [helmeted guineafowl, hasPlumage, gray plumage with white spots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlumage Context triple: [helmeted guineafowl, hasPlumage, gray plumage with white spots]
-
A.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
B.
hasBeak
Indicates that an entity possesses a beak as a physical anatomical feature.
-
C.
hasWings
Indicates that an entity possesses wings as physical appendages.
-
D.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
E.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
- 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.