Triple

T19759031
Position Surface form Disambiguated ID Type / Status
Subject French Lorraine E474577 entity
Predicate borders P224 FINISHED
Object French Champagne NE NERFINISHED

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 Champagne | Statement: [French Lorraine, borders, French Champagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Champagne
Context triple: [French Lorraine, borders, French Champagne]
  • A. Champagne
    "Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
  • B. 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.
  • C. Champagne AOC
    Champagne AOC is a renowned French sparkling wine appellation in the Champagne region, celebrated for its strict production standards and use of grape varieties such as Pinot Meunier, Pinot Noir, and Chardonnay.
  • 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. Champenois
    Champenois is a Romance regional language historically spoken in parts of northeastern France and adjacent areas of Wallonia in Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531e79fc819094a9f88182e90dab completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.