Triple

T2143899
Position Surface form Disambiguated ID Type / Status
Subject A36 motorway (France) E47019 entity
Predicate connectsCity P4245 FINISHED
Object Beaune E73240 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: Beaune | Statement: [A36 motorway (France), connectsCity, Beaune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaune
Context triple: [A36 motorway (France), connectsCity, Beaune]
  • A. Beaune chosen
    Beaune is a historic town in eastern France renowned as the wine capital of Burgundy and a center of Burgundy’s prestigious vineyards and wine trade.
  • B. Givry
    Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
  • C. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • D. Blagny
    Blagny is a small Burgundy wine village in eastern France, known for producing high-quality red and white wines from the Côte de Beaune region.
  • E. Bresse
    Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe223f848190a60bd0f15aed1021 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01cf667bc81909d1de1542d53076a completed March 10, 2026, 1:30 p.m.
Created at: March 4, 2026, 7:44 p.m.