Triple

T27247211
Position Surface form Disambiguated ID Type / Status
Subject Ruchottes-Chambertin E687375 entity
Predicate grapeVarietyRegulation P37246 FINISHED
Object Pinot Noir as principal variety 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: Pinot Noir as principal variety | Statement: [Ruchottes-Chambertin, grapeVarietyRegulation, Pinot Noir as principal variety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grapeVarietyRegulation
Context triple: [Ruchottes-Chambertin, grapeVarietyRegulation, Pinot Noir as principal variety]
  • A. hasRegulatedGrapes
    Indicates that certain grapes are subject to specific rules, standards, or controls imposed by an authority or regulation.
  • B. grapeVarietyAllowed chosen
    Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
  • C. regulatesWineType
    Indicates that one entity has authority or influence over the rules, standards, or conditions governing a particular type of wine.
  • D. grapeVarietyType
    Indicates the specific type or classification of a grape variety used or referred to in a given context.
  • E. grapeVarietal
    Indicates that one entity is a specific type or variety of grape used in wine or grape production 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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 10:42 a.m.