Triple

T6575397
Position Surface form Disambiguated ID Type / Status
Subject South Kensington campus E155548 entity
Predicate region 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: [South Kensington campus, region, Central London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central London
Context triple: [South Kensington campus, region, 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. 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. 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. London District
    London District is a British Army command responsible for overseeing military units and ceremonial duties in the Greater London area.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae725f988190bacdbeb493b758cf completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41f1eb8819086d0094015bdc1af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.