Triple

T15670564
Position Surface form Disambiguated ID Type / Status
Subject Yffiniac railway station E377298 entity
Predicate serviceType P87 FINISHED
Object TER Bretagne E206986 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 Bretagne | Statement: [Yffiniac railway station, serviceType, TER Bretagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TER Bretagne
Context triple: [Yffiniac railway station, serviceType, TER Bretagne]
  • A. TER Bretagne chosen
    TER Bretagne is the regional rail network operated by SNCF that provides passenger train services throughout the Brittany region of France.
  • B. Marine en Bretagne
    Marine en Bretagne is a seascape painting by French Post-Impressionist artist Maxime Maufra, depicting the rugged coastal scenery of Brittany.
  • C. Breton lai
    A Breton lai is a short medieval narrative poem, often involving romance, chivalry, and the supernatural, traditionally associated with Brittany and written in verse.
  • D. La côte de Bretagne
    La côte de Bretagne is a landscape painting by French artist Maxime Maufra depicting the rugged, windswept coastline of Brittany.
  • E. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a431208190b7e0d1eefd55504a completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.