Triple
T17466566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine eagle |
E425290
|
entity |
| Predicate | featherFeature |
P4572
|
FINISHED |
| Object | distinctive shaggy 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: distinctive shaggy crest | Statement: [Philippine eagle, featherFeature, distinctive shaggy crest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featherFeature Context triple: [Philippine eagle, featherFeature, distinctive shaggy crest]
-
A.
nestFeature
Indicates that one entity is a structural or functional component contained within, or forming part of, another entity.
-
B.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
C.
numberOfFeathers
Indicates the specific count of feathers associated with an entity.
-
D.
legFeathering
Indicates that an entity possesses feathers growing on or covering its legs.
-
E.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a7e2a481908c32defa3401f848 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.