Triple

T12145621
Position Surface form Disambiguated ID Type / Status
Subject Chancery Lane Underground station E289309 entity
Predicate hasRegion P285 FINISHED
Object Greater London E19101 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: Greater London | Statement: [Chancery Lane Underground station, hasRegion, Greater London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater London
Context triple: [Chancery Lane Underground station, hasRegion, Greater London]
  • A. Greater London chosen
    Greater London is the administrative and ceremonial region encompassing the city of London and its surrounding boroughs, forming the core metropolitan area of the United Kingdom’s capital.
  • B. Central London
    Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
  • C. 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.
  • D. North London
    North London is the northern part of England’s capital city, known for its diverse neighborhoods, cultural attractions, and strong football heritage.
  • E. Outer London
    Outer London is the ring of suburban boroughs surrounding Inner London, characterized by more residential areas, green spaces, and lower population density than the city’s central core.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4a573c8190b5dd6cc61849739b completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.