Triple

T16019386
Position Surface form Disambiguated ID Type / Status
Subject Ecclesiastical province of Reims E388559 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: [Ecclesiastical province of Reims, region, Champagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champagne
Context triple: [Ecclesiastical province of Reims, 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. Champagne
    "Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
  • C. Champagne Papi
    Champagne Papi is the widely recognized social media handle and nickname of Canadian rapper, singer, and songwriter Drake.
  • D. Champagne Brice
    Champagne Brice is a grower-producer Champagne house based in the Grand Cru village of Bouzy, known for its Pinot Noir–driven wines.
  • E. 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.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2a4b0c819094f629c65cf8f880 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.