Triple

T2674246
Position Surface form Disambiguated ID Type / Status
Subject Pernand-Vergelesses E56419 entity
Predicate near P350 FINISHED
Object Aloxe-Corton E55648 NE 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: Aloxe-Corton | Statement: [Pernand-Vergelesses, near, Aloxe-Corton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aloxe-Corton
Context triple: [Pernand-Vergelesses, near, Aloxe-Corton]
  • A. Aloxe-Corton chosen
    Aloxe-Corton is a renowned wine-producing village in Burgundy, France, best known for its prestigious red and white Grand Cru wines from the Corton hill.
  • B. Chambolle-Musigny
    Chambolle-Musigny is a renowned Burgundy wine village in France celebrated for its elegant, aromatic Pinot Noir wines.
  • C. Chassagne-Montrachet
    Chassagne-Montrachet is a renowned wine-producing village in Burgundy, France, celebrated especially for its high-quality white wines made from Chardonnay.
  • D. Vosne-Romanée
    Vosne-Romanée is a renowned Burgundy wine village in eastern France, celebrated for producing some of the world’s finest and most sought-after Pinot Noir wines.
  • E. Pernand-Vergelesses
    Pernand-Vergelesses is a wine-producing village in Burgundy, France, known for its red and white wines and its proximity to the Corton hill.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b228cc819097f045b4a51d8e7c completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69b22496fda88190ba70356cc6835dcb completed March 12, 2026, 2:27 a.m.
Created at: March 6, 2026, 9:54 p.m.