Triple

T25336502
Position Surface form Disambiguated ID Type / Status
Subject Chambourcin E635291 entity
Predicate vinificationNote P158210 FINISHED
Object often benefits from oak aging 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: often benefits from oak aging | Statement: [Chambourcin, vinificationNote, often benefits from oak aging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vinificationNote
Context triple: [Chambourcin, vinificationNote, often benefits from oak aging]
  • A. vinificationUse
    Indicates the process or method of winemaking applied to a given wine or batch.
  • B. vinification
    Indicates the process by which grapes (or other fruits) are transformed into wine through fermentation and related winemaking steps.
  • C. commonVinification
    Indicates that two wines share the same or very similar vinification (winemaking) process.
  • D. commonVinificationGoal
    Indicates that two or more vinification processes share the same intended winemaking objective or outcome.
  • E. traditionalVinification
    Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
  • 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_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_69f45d0dbc8c8190beecce679fce90a4 completed May 1, 2026, 7:58 a.m.
PDg Predicate description generation batch_69f464ae42e88190b3549fdf4e0b425e completed May 1, 2026, 8:30 a.m.
Created at: April 21, 2026, 1:32 p.m.