Triple
T34628699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | turkey vulture |
E889211
|
entity |
| Predicate | primaryFoodDetection |
P205492
|
FINISHED |
| Object | smell |
—
|
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: smell | Statement: [turkey vulture, primaryFoodDetection, smell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFoodDetection Context triple: [turkey vulture, primaryFoodDetection, smell]
-
A.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
B.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
C.
hasCuisineRecognition
Indicates that an entity has received formal recognition, awards, or notable acknowledgment specifically for its cuisine.
-
D.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
E.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
- 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:04 a.m.