Triple

T12630045
Position Surface form Disambiguated ID Type / Status
Subject historical province of Burgundy E301615 entity
Predicate containsRegion P285 FINISHED
Object Côte d'Or E54900 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: Côte d'Or | Statement: [historical province of Burgundy, containsRegion, Côte d'Or]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Côte d'Or
Context triple: [historical province of Burgundy, containsRegion, Côte d'Or]
  • A. Côte d'Or chosen
    Côte d'Or is a renowned wine-producing region in Burgundy, France, celebrated for its high-quality Pinot Noir and Chardonnay wines.
  • B. Saône-et-Loire
    Saône-et-Loire is a department in the Bourgogne-Franche-Comté region of eastern France, known for its historic towns, Romanesque churches, and Burgundy vineyards.
  • C. Soissonnais
    Soissonnais is a historical region in northern France centered around the city of Soissons, known for its early medieval significance and role in the Frankish kingdom.
  • D. Seine-et-Oise
    Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
  • E. Meurthe-et-Moselle
    Meurthe-et-Moselle is a department in northeastern France known for its capital Nancy, rich industrial history, and Art Nouveau architectural heritage.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af45ea888190a4b2d0c1730a06ef completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:15 p.m.