Triple

T10830541
Position Surface form Disambiguated ID Type / Status
Subject Luton railway station E255605 entity
Predicate hasServiceTo P6787 FINISHED
Object Three Bridges E424423 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: Three Bridges | Statement: [Luton railway station, hasServiceTo, Three Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Bridges
Context triple: [Luton railway station, hasServiceTo, Three Bridges]
  • A. Three Bridges chosen
    Three Bridges is a residential and commercial neighbourhood in the town of Crawley in West Sussex, England.
  • B. Bridges
    Bridges is a common English surname borne by various notable individuals, including actors, politicians, and athletes.
  • C. Bridges
    Bridges is the fictional United Cities of America organization in the video game "Death Stranding," responsible for reconnecting isolated cities and managing porters like Sam Porter Bridges.
  • D. Two Bridges
    Two Bridges is a residential neighborhood on Manhattan’s Lower East Side, situated along the East River between the Manhattan and Brooklyn Bridges.
  • E. Twin Bridges
    Twin Bridges is a themed world in the video game Super Mario World, characterized by its pair of bridge-like areas and associated levels.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d744222288819093258b452569acab completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85a068b08190948c3ca32cdda147 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.