Triple
T10835598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gymnogyps |
E255746
|
entity |
| Predicate | hasFeatherCharacteristic |
P4572
|
FINISHED |
| Object | mostly black plumage in extant species |
—
|
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: mostly black plumage in extant species | Statement: [Gymnogyps, hasFeatherCharacteristic, mostly black plumage in extant species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatherCharacteristic Context triple: [Gymnogyps, hasFeatherCharacteristic, mostly black plumage in extant species]
-
A.
numberOfFeathers
Indicates the specific count of feathers associated with an entity.
-
B.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
C.
hasFeatheredMembers
Indicates that at least some members of a group or category possess feathers.
-
D.
hasWingsMadeOf
Indicates that one entity has wings whose material or composition is made from the other entity.
-
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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746fdefd4819099772efbd4f302cb |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.