Triple

T2738512
Position Surface form Disambiguated ID Type / Status
Subject Bayonne, France E60688 entity
Predicate transport P230 FINISHED
Object Bayonne railway station E207594 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: Bayonne railway station | Statement: [Bayonne, France, transport, Bayonne railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayonne railway station
Context triple: [Bayonne, France, transport, Bayonne railway station]
  • A. Gare de Bayonne chosen
    Gare de Bayonne is the main railway station serving the city of Bayonne in southwestern France, providing regional and long-distance train connections.
  • B. Mineola station
    Mineola station is a major Long Island Rail Road commuter rail stop in Mineola, New York, serving as a key transfer point for several LIRR branches.
  • C. Colma station
    Colma station is a Bay Area Rapid Transit (BART) station serving the town of Colma and nearby Daly City in the San Francisco Bay Area.
  • D. Riverhead station
    Riverhead station is a Long Island Rail Road stop in Riverhead, New York, serving passengers on the Ronkonkoma Branch in eastern Suffolk County.
  • E. Hoboken Terminal
    Hoboken Terminal is a major historic multimodal transportation hub in Hoboken, New Jersey, serving commuter rail, light rail, buses, ferries, and PATH trains for the New York metropolitan area.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb147a588190829b74fe05b3a114 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc607d88190bc35ce56ac26dbf9 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.