Triple

T244725
Position Surface form Disambiguated ID Type / Status
Subject Pinot Noir E5011 entity
Predicate notableRegion P22 FINISHED
Object Champagne E9584 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: Champagne | Statement: [Pinot Noir, notableRegion, Champagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champagne
Context triple: [Pinot Noir, notableRegion, Champagne]
  • A. Champagne chosen
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • B. Chardonnay
    Chardonnay is a widely planted and versatile white wine grape variety known for producing wines that range from crisp and mineral-driven to rich, oaky, and buttery in style.
  • C. Chablis
    Chablis is a renowned wine region in northern Burgundy, France, famous for its crisp, mineral-driven white wines made exclusively from Chardonnay grapes.
  • D. Brandy
    Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
  • E. Burgundy
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c592cc8190bc642fcd248a1f1b completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.