Triple

T23394978
Position Surface form Disambiguated ID Type / Status
Subject Crozes-Hermitage AOC E559331 entity
Predicate grapeCompositionRule P11949 FINISHED
Object red wines must be predominantly Syrah 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: red wines must be predominantly Syrah | Statement: [Crozes-Hermitage AOC, grapeCompositionRule, red wines must be predominantly Syrah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grapeCompositionRule
Context triple: [Crozes-Hermitage AOC, grapeCompositionRule, red wines must be predominantly Syrah]
  • A. grapeCondition
    Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
  • B. grapeSource
    Indicates that one entity is the origin or provider of grapes used by another entity.
  • C. grapeSourceFlexibility
    Indicates that the source or origin of grapes involved in a relationship or process can vary or be chosen flexibly rather than being fixed.
  • D. usesGrapeType chosen
    Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
  • E. grapeConditionRequired
    Indicates that a specific condition or quality of grapes is required for a related process, use, 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4db1c888190ace5d58bcc8645c1 completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:36 p.m.