Triple

T20941439
Position Surface form Disambiguated ID Type / Status
Subject Nantes suburban rail services E515729 entity
Predicate connectsTo P845 FINISHED
Object Nantes city centre NE NERFINISHED

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: Nantes city centre | Statement: [Nantes suburban rail services, connectsTo, Nantes city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantes city centre
Context triple: [Nantes suburban rail services, connectsTo, Nantes city centre]
  • A. Nantes chosen
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • B. Nantes metropolitan area
    The Nantes metropolitan area is a major urban and economic region in western France centered on the city of Nantes and encompassing its surrounding suburbs and districts.
  • C. Vitry-le-François
    Vitry-le-François is a commune in northeastern France’s Marne department, known as a planned Renaissance town and the birthplace of mathematician Abraham de Moivre.
  • D. City of Nancy
    The City of Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed squares.
  • E. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.