Triple

T3661491
Position Surface form Disambiguated ID Type / Status
Subject Ashtead E77658 entity
Predicate hasRailServiceTo P726 FINISHED
Object London Victoria E56834 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: London Victoria | Statement: [Ashtead, hasRailServiceTo, London Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Victoria
Context triple: [Ashtead, hasRailServiceTo, London Victoria]
  • A. London Victoria chosen
    London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
  • B. London Paddington
    London Paddington is a major central London railway terminus and transport hub, best known as the historic Great Western Railway terminus and a key gateway to western England and Heathrow Airport.
  • C. City of London
    The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
  • D. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • E. Westminster
    Westminster is a suburban city in the Denver metropolitan area of Colorado, known for its residential communities, parks, and proximity to the Rocky Mountains.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde33a9481908211d7e0d53955e8 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.