Triple
T26642809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andean cock-of-the-rock |
E668824
|
entity |
| Predicate | femaleHasCrest |
P78023
|
FINISHED |
| Object | reduced crest |
—
|
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: reduced crest | Statement: [Andean cock-of-the-rock, femaleHasCrest, reduced crest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleHasCrest Context triple: [Andean cock-of-the-rock, femaleHasCrest, reduced crest]
-
A.
femaleCrownColor
Indicates the color of the crown (top of the head) specifically for the female individual in a species or group.
-
B.
femalePlumageFeature
chosen
Indicates that the specified plumage feature is characteristic of the female individual in a species.
-
C.
hasFemaleWing
Indicates that an entity possesses or is associated with a wing that is characterized as female.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
wingColorFemale
Indicates that the relationship specifies the color of the wings of a female individual.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61632d4908190a3db8fdf80984043 |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:29 a.m.