Triple

T15476685
Position Surface form Disambiguated ID Type / Status
Subject Belgravia E376796 entity
Predicate near P350 FINISHED
Object Victoria Station E259592 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: Victoria Station | Statement: [Belgravia, near, Victoria Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Station
Context triple: [Belgravia, near, Victoria Station]
  • A. Victoria Station
    Victoria Station is a major railway and tram interchange in Manchester, England, serving as a key transport hub for regional and national rail services.
  • B. Victoria Station chosen
    Victoria Station is a major central London railway terminus and Underground hub serving both national and suburban routes, as well as providing access to key landmarks like Buckingham Palace and Westminster.
  • C. Victoria Street Station
    Victoria Street Station is a light rail stop in Saint Paul, Minnesota, serving passengers on the METRO Green Line.
  • D. Robert Street Station
    Robert Street Station is a light rail stop in Saint Paul, Minnesota, serving passengers on the METRO Green Line.
  • E. Victoria Park station
    Victoria Park station is a Toronto Transit Commission subway station in the city's east end that serves as a stop on Line 2 Bloor–Danforth.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.