Triple
T1761199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquila fasciata |
E38661
|
entity |
| Predicate | huntingStyle |
P31439
|
FINISHED |
| Object | soaring and stooping on prey |
—
|
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: soaring and stooping on prey | Statement: [Aquila fasciata, huntingStyle, soaring and stooping on prey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: huntingStyle Context triple: [Aquila fasciata, huntingStyle, soaring and stooping on prey]
-
A.
hunting
Indicates one entity actively pursuing and attempting to capture or kill another entity, typically as prey.
-
B.
shootingStyle
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
C.
shootsCatches
Indicates that one entity shoots something that is then caught by another entity.
-
D.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
E.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ab173830a481908b67928f16f5d999 |
completed | March 6, 2026, 6:04 p.m. |
Created at: March 4, 2026, 7:31 p.m.