Triple
T25336503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambourcin |
E635291
|
entity |
| Predicate | vinificationNote |
P158210
|
FINISHED |
| Object | can be made with carbonic maceration for lighter style |
—
|
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: can be made with carbonic maceration for lighter style | Statement: [Chambourcin, vinificationNote, can be made with carbonic maceration for lighter style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vinificationNote Context triple: [Chambourcin, vinificationNote, can be made with carbonic maceration for lighter style]
-
A.
vinificationNote
chosen
Indicates the process details, techniques, or observations related to how a wine was made or vinified.
-
B.
vinificationUse
Indicates the process or method of winemaking applied to a given wine or batch.
-
C.
vinification
Indicates the process by which grapes (or other fruits) are transformed into wine through fermentation and related winemaking steps.
-
D.
commonVinification
Indicates that two wines share the same or very similar vinification (winemaking) process.
-
E.
commonVinificationGoal
Indicates that two or more vinification processes share the same intended winemaking objective or outcome.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497ca0f18819090168e3221c2aa32 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:32 p.m.