Triple

T7736736
Position Surface form Disambiguated ID Type / Status
Subject Chambolle-Musigny E175400 entity
Predicate reputationInBurgundy P22814 FINISHED
Object one of the most elegant Côte de Nuits appellations 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: one of the most elegant Côte de Nuits appellations | Statement: [Chambolle-Musigny, reputationInBurgundy, one of the most elegant Côte de Nuits appellations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reputationInBurgundy
Context triple: [Chambolle-Musigny, reputationInBurgundy, one of the most elegant Côte de Nuits appellations]
  • A. hasReputationAmong
    Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
  • B. regionalReputation chosen
    Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
  • C. positionInCôteDeBeaune
    Indicates that something is located within or belongs to the Côte de Beaune subregion.
  • D. roleInBordeaux
    Indicates that an entity holds or has held a specific role, function, or position within the context of Bordeaux.
  • E. hasEuropeanReputation
    Indicates that an entity is recognized or reputed specifically within a European context, such as among European audiences, institutions, or markets.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70402169481909b219dc5f4a64b9b completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c7016c4a748190a7012030edaefcee completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:07 p.m.