Triple

T16132610
Position Surface form Disambiguated ID Type / Status
Subject Tannat E391436 entity
Predicate vinificationPractice P77755 FINISHED
Object oak ageing 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: oak ageing | Statement: [Tannat, vinificationPractice, oak ageing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vinificationPractice
Context triple: [Tannat, vinificationPractice, oak ageing]
  • A. vinificationUse chosen
    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. traditionalVinification
    Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.