Triple

T3500242
Position Surface form Disambiguated ID Type / Status
Subject Byfleet & New Haw railway station E73946 entity
Predicate serves P98 FINISHED
Object Byfleet E17309 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: Byfleet | Statement: [Byfleet & New Haw railway station, serves, Byfleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byfleet
Context triple: [Byfleet & New Haw railway station, serves, Byfleet]
  • A. Byfleet chosen
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • B. Ofo
    Ofo were a Native American people historically located in the Southeastern Woodlands, known for their Siouan language and eventual migration into present-day Mississippi and Louisiana.
  • C. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • D. Meru Cabs
    Meru Cabs is an Indian radio taxi and ride-hailing company that was one of the country’s early organized cab service providers.
  • E. Arriva
    Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd4eb308190b84e84261ceec229 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bbf19808190b42c9feddc2a1030 completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:18 p.m.