Triple

T21028249
Position Surface form Disambiguated ID Type / Status
Subject Nantes–La Roche-sur-Yon railway E517997 entity
Predicate terminus P388 FINISHED
Object La Roche-sur-Yon 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: La Roche-sur-Yon | Statement: [Nantes–La Roche-sur-Yon railway, terminus, La Roche-sur-Yon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Roche-sur-Yon
Context triple: [Nantes–La Roche-sur-Yon railway, terminus, La Roche-sur-Yon]
  • A. La Roche-sur-Yon chosen
    La Roche-sur-Yon is a planned administrative and commercial center in western France that serves as the prefecture of the Vendée department.
  • B. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • C. Verneuil-sur-Vienne
    Verneuil-sur-Vienne is a commune in west-central France’s Haute-Vienne department, situated near the city of Limoges in the Nouvelle-Aquitaine region.
  • D. Angers
    Angers is a historic city in western France known for its medieval architecture, including the Château d'Angers and its famous Apocalypse Tapestry.
  • E. Bressuire
    Bressuire is a historic town in western France known for its medieval castle and role as an administrative center in the Deux-Sèvres department.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7efda081909a4de1c389166bf2 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.