Triple

T11067113
Position Surface form Disambiguated ID Type / Status
Subject Champagne wine region E261653 entity
Predicate hasSubregion P285 FINISHED
Object Vallée de la Marne E386547 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: Vallée de la Marne | Statement: [Champagne wine region, hasSubregion, Vallée de la Marne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallée de la Marne
Context triple: [Champagne wine region, hasSubregion, Vallée de la Marne]
  • A. Vallée de la Marne chosen
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • B. Loing
    The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
  • C. Val-d'Oise
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • D. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • E. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79920428c81908db824ab54e08e8d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62fa15081909e7c71d8feda7391 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:26 p.m.