Triple

T3663601
Position Surface form Disambiguated ID Type / Status
Subject Paris–Roubaix E77707 entity
Predicate region P40 FINISHED
Object Nord department E42939 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: Nord department | Statement: [Paris–Roubaix, region, Nord department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nord department
Context triple: [Paris–Roubaix, region, Nord department]
  • A. Nord department chosen
    Nord department is an administrative region in northern France bordering Belgium, known for its industrial heritage and historic cities such as Lille.
  • B. Eure department
    The Eure department is an administrative region in northern France’s Normandy known for its rural landscapes, historic towns, and cultural sites such as Claude Monet’s garden at Giverny.
  • C. Oise department
    Oise department is an administrative division in northern France, located in the Hauts-de-France region and known for its historic towns, forests, and proximity to Paris.
  • D. Aude department
    The Aude department is an administrative region in southern France known for its historic towns, vineyards, and proximity to the Mediterranean coast.
  • E. Gard department
    Gard department is an administrative region in southern France known for its Mediterranean landscapes, historic Roman sites such as the Pont du Gard, and the city of Nîmes.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48848be788190acde46880918d36b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.