Triple

T12719486
Position Surface form Disambiguated ID Type / Status
Subject Travelcard Zone 1 E303936 entity
Predicate coversAreaType P6822 FINISHED
Object central London E51106 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: central London | Statement: [Travelcard Zone 1, coversAreaType, central London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central London
Context triple: [Travelcard Zone 1, coversAreaType, central London]
  • A. Central London chosen
    Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
  • B. West London
    West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
  • C. London Central
    London Central is a major bus operating company in London that runs services across central areas of the city as part of the Go-Ahead London group.
  • D. east London
    East London is a historically industrial and now rapidly regenerating area of London known for its diverse communities, creative scenes, and redeveloped Docklands.
  • E. West End of London
    The West End of London is the city's famous central district known for its major shopping streets, theatres, entertainment venues, and cultural attractions.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7c4c608190a1786accf8d86141 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:24 p.m.