Triple

T2925785
Position Surface form Disambiguated ID Type / Status
Subject Westminster Cathedral E78838 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: [Westminster Cathedral, near, Victoria Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Station
Context triple: [Westminster Cathedral, 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 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.
  • D. Tower Hill station
    Tower Hill station is a London Underground station in central London serving the Circle and District lines near the Tower of London.
  • E. West End station
    West End station is a key Dallas Area Rapid Transit (DART) light rail stop serving the historic West End district in downtown Dallas, Texas.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c1e9c08190bcec80bc3262697a completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e181898819087ed4acfd24c00a1 completed March 11, 2026, 8:55 a.m.
Created at: March 8, 2026, 2:55 p.m.