Triple

T424885
Position Surface form Disambiguated ID Type / Status
Subject Chablis E8184 entity
Predicate traditionalVinification P14739 FINISHED
Object stainless steel fermentation 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: stainless steel fermentation | Statement: [Chablis, traditionalVinification, stainless steel fermentation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalVinification
Context triple: [Chablis, traditionalVinification, stainless steel fermentation]
  • A. viticultureHistory
    Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
  • B. primaryGrapeVariety
    Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
  • C. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
  • D. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • E. wineAgeingPotential
    Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd6736c81909a6ca549f77b4345 completed Feb. 28, 2026, 1:29 p.m.
PDg Predicate description generation batch_69a2eeb8545c8190a2b8517e7ed5b92e completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.