Triple

T8658184
Position Surface form Disambiguated ID Type / Status
Subject Forest Hill E205474 entity
Predicate partOf P40 FINISHED
Object Inner London E97278 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: Inner London | Statement: [Forest Hill, partOf, Inner London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inner London
Context triple: [Forest Hill, partOf, Inner London]
  • A. Inner London chosen
    Inner London is the densely populated central part of Greater London, encompassing many of the city’s historic, commercial, and cultural core districts.
  • B. 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.
  • C. Central London
    Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
  • D. Greater London
    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.
  • E. 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.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486d576081908ad28749c7971432 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccec941881908263cd3205f10ccd completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.