Triple

T8720093
Position Surface form Disambiguated ID Type / Status
Subject TER Bourgogne-Franche-Comté E206988 entity
Predicate hasLocale P387 FINISHED
Object Burgundy E6890 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: Burgundy | Statement: [TER Bourgogne-Franche-Comté, hasLocale, Burgundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgundy
Context triple: [TER Bourgogne-Franche-Comté, hasLocale, Burgundy]
  • A. Burgundy
    Burgundy is a mid-level membership tier in the Privilege Club loyalty program, offering enhanced benefits and rewards to frequent participants.
  • B. Burgundy chosen
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • C. Beaujolais
    Beaujolais is a French wine-producing region best known for its light, fruity red wines made primarily from the Gamay grape, including the popular Beaujolais Nouveau.
  • D. Burgundy wine region
    The Burgundy wine region is a renowned area in eastern France famous for its terroir-driven Pinot Noir and Chardonnay wines, produced across a patchwork of historic vineyards and appellations.
  • E. Mâconnais
    Mâconnais is a wine-producing subregion in southern Burgundy, France, best known for its Chardonnay-based white 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.