Triple

T2986343
Position Surface form Disambiguated ID Type / Status
Subject St Mary the Virgin, Hayes E80633 entity
Predicate region P40 FINISHED
Object South East London E91099 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: South East London | Statement: [St Mary the Virgin, Hayes, region, South East London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South East London
Context triple: [St Mary the Virgin, Hayes, region, South East London]
  • A. South East London chosen
    South East London is a major subregion of Greater London encompassing a mix of residential suburbs, commercial centers, and historic areas south of the River Thames.
  • B. 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.
  • 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. southwest London
    Southwest London is a suburban and partly riverside area of the UK capital, encompassing boroughs along the River Thames and known for its historic sites, green spaces, and residential neighborhoods.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f38a1548190bdddf65853632db1 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 2:59 p.m.