Triple

T11089116
Position Surface form Disambiguated ID Type / Status
Subject Mâcon AOC E262201 entity
Predicate grapeRequirementWhite P91947 FINISHED
Object Chardonnay must dominate white wines 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: Chardonnay must dominate white wines | Statement: [Mâcon AOC, grapeRequirementWhite, Chardonnay must dominate white wines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grapeRequirementWhite
Context triple: [Mâcon AOC, grapeRequirementWhite, Chardonnay must dominate white wines]
  • A. grapeCondition
    Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
  • B. grapeVarietyAllowed
    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. grapeMinimum
    Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
  • D. whiteWineProductionAllowed
    Indicates that producing white wine is permitted under the relevant rules, regulations, or conditions.
  • E. dominantGrapePercentageRequirement chosen
    Indicates the minimum percentage of a single grape variety that must be present in a wine for it to be considered dominant or to meet a specific labeling or classification rule.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
PD Predicate disambiguation batch_69d744185a5881909ba4cf151d1798ec completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.