Triple

T16898060
Position Surface form Disambiguated ID Type / Status
Subject Little Cairo E424360 entity
Predicate partOf P40 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: [Little Cairo, partOf, central London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central London
Context triple: [Little Cairo, partOf, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.