Triple

T9593653
Position Surface form Disambiguated ID Type / Status
Subject Premier Grand Cru Classé B E231477 entity
Predicate wineLawContext P38943 FINISHED
Object French AOC system 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: French AOC system | Statement: [Premier Grand Cru Classé B, wineLawContext, French AOC system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wineLawContext
Context triple: [Premier Grand Cru Classé B, wineLawContext, French AOC system]
  • A. wineLaw chosen
    Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
  • B. wineStructure
    Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
  • C. wineRegulationBody
    Indicates that a regulatory organization has authority over the production, labeling, or distribution standards for a particular wine or wine-producing region.
  • D. wineAVA
    Indicates that a wine is produced within a specific American Viticultural Area (AVA) designation.
  • E. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a134b0c81908a568e5d2ecfbb92 completed April 1, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69ccd5a359788190b24f82399489f7fe completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:07 p.m.