Triple
T6653812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbera d’Asti |
E150889
|
entity |
| Predicate | bestConsumption |
P11941
|
FINISHED |
| Object | with food |
—
|
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: with food | Statement: [Barbera d’Asti, bestConsumption, with food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestConsumption Context triple: [Barbera d’Asti, bestConsumption, with food]
-
A.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
-
B.
consumptionMethod
chosen
Indicates the manner or process by which something is consumed, used up, or ingested.
-
C.
typicalConsumptionAge
Indicates the age at which something is most commonly or normally consumed.
-
D.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
-
E.
largelyConsumedBeneath
Indicates that one entity is mostly consumed, used up, or eaten while located underneath or below 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.