Triple
T1744670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquila verreauxii |
E38309
|
entity |
| Predicate | underwingPattern |
P4572
|
FINISHED |
| Object | distinctive white "V" on back and wings |
—
|
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 white "V" on back and wings | Statement: [Aquila verreauxii, underwingPattern, distinctive white "V" on back and wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwingPattern Context triple: [Aquila verreauxii, underwingPattern, distinctive white "V" on back and wings]
-
A.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
B.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
C.
hasWings
Indicates that an entity possesses wings as physical appendages.
-
D.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
E.
plumageFeature
chosen
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.