Triple
T6598955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventoux AOC |
E148545
|
entity |
| Predicate | secondaryProduction |
P65738
|
FINISHED |
| Object | rosé 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: rosé wines | Statement: [Ventoux AOC, secondaryProduction, rosé wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryProduction Context triple: [Ventoux AOC, secondaryProduction, rosé wines]
-
A.
secondaryProducts
chosen
Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
-
B.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
C.
secondGenerationProduction
Indicates that the production activity involves a second generation of products, technologies, or processes derived from an earlier initial generation.
-
D.
secondaryProcess
Indicates that an action or process occurs as a secondary, supporting, or subordinate operation relative to a primary process.
-
E.
secondarySee
Indicates that one entity is referenced as an additional or alternative point of consultation or viewing in relation to 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_69c687e7b8688190811ffee72e096468 |
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_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.