Triple
T9738206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charente vineyards |
E236118
|
entity |
| Predicate | regulatesProductionOf |
P46087
|
FINISHED |
| Object | Cognac AOC base wines |
—
|
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: Cognac AOC base wines | Statement: [Charente vineyards, regulatesProductionOf, Cognac AOC base wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesProductionOf Context triple: [Charente vineyards, regulatesProductionOf, Cognac AOC base wines]
-
A.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
B.
regulatesProduct
chosen
Indicates that one entity exercises control or governance over the production, distribution, or characteristics of a product belonging to or associated with another entity.
-
C.
regulatesIn
Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
-
D.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
E.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef2ba048190811d6f4251fdb270 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.