Triple
T34628700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | turkey vulture |
E889211
|
entity |
| Predicate | secondaryFoodDetection |
P72116
|
FINISHED |
| Object | sight |
—
|
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: sight | Statement: [turkey vulture, secondaryFoodDetection, sight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryFoodDetection Context triple: [turkey vulture, secondaryFoodDetection, sight]
-
A.
secondaryFood
chosen
Indicates that one entity serves as a secondary or supplementary food source in relation to another entity.
-
B.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
C.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
D.
foundInFood
Indicates that a substance, ingredient, or component is present within or contained in a particular food item.
-
E.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 2:04 a.m.