Triple

T9782152
Position Surface form Disambiguated ID Type / Status
Subject Sidcup E237400 entity
Predicate partOf P40 FINISHED
Object Outer London E38690 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: Outer London | Statement: [Sidcup, partOf, Outer London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outer London
Context triple: [Sidcup, partOf, Outer London]
  • A. Outer London chosen
    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.
  • B. Inner London
    Inner London is the densely populated central part of Greater London, encompassing many of the city’s historic, commercial, and cultural core districts.
  • C. 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.
  • D. 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.
  • E. South London
    South London is the southern part of Greater London, known for its diverse residential neighborhoods, rich football culture, and landmarks such as Crystal Palace and Greenwich.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4bb6008190b5111d42ceef52b7 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:27 p.m.