Triple

T5370041
Position Surface form Disambiguated ID Type / Status
Subject Gare de Nantes E108824 entity
Predicate railService P522 FINISHED
Object TER Pays de la Loire E43232 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: TER Pays de la Loire | Statement: [Gare de Nantes, railService, TER Pays de la Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TER Pays de la Loire
Context triple: [Gare de Nantes, railService, TER Pays de la Loire]
  • A. Centre-Val de Loire
    Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
  • B. Pays de la Loire chosen
    Pays de la Loire is a region in western France known for its Atlantic coastline, historic cities like Nantes and Angers, and numerous Loire Valley châteaux.
  • C. Maine-et-Loire
    Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
  • D. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • E. Nouvelle-Aquitaine
    Nouvelle-Aquitaine is the largest administrative region of France, located in the southwest and known for its Atlantic coastline, wine regions like Bordeaux, and diverse cultural and natural landscapes.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfaf2bc1348190a92833a4c4e0e4cd completed March 22, 2026, 8:58 a.m.
Created at: March 20, 2026, 2:02 p.m.