Triple

T10083444
Position Surface form Disambiguated ID Type / Status
Subject Château de Cirey E213959 entity
Predicate region P40 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: [Château de Cirey, region, Champagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champagne
Context triple: [Château de Cirey, region, 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. blanc de blancs Champagne
    Blanc de blancs Champagne is a sparkling wine made exclusively from white grapes, typically Chardonnay, prized for its elegance, finesse, and bright acidity.
  • C. Champagne de Venoge
    Champagne de Venoge is a historic Champagne house known for its elegant, terroir-driven cuvées and distinctive aristocratic branding, based in Épernay in France’s Champagne region.
  • D. Champagne Collard-Picard
    Champagne Collard-Picard is a family-run grower-producer Champagne house known for crafting terroir-driven sparkling wines from vineyards in the Champagne region of France.
  • E. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.