Triple

T390942
Position Surface form Disambiguated ID Type / Status
Subject Côte de Beaune E8877 entity
Predicate wineClassificationSystem P12905 FINISHED
Object Appellation d’Origine Contrôlée 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: Appellation d’Origine Contrôlée | Statement: [Côte de Beaune, wineClassificationSystem, Appellation d’Origine Contrôlée]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wineClassificationSystem
Context triple: [Côte de Beaune, wineClassificationSystem, Appellation d’Origine Contrôlée]
  • A. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
  • B. wineRegion
    Indicates the geographical region or area where a particular wine is produced or originates.
  • C. 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).
  • D. wineAgeingPotential
    Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
  • E. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
PD Predicate disambiguation batch_69a2e96960608190bdd342da9c5ddb5e completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ebac09408190be802b96bb203d5f completed Feb. 28, 2026, 1:20 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.