Triple

T17972829
Position Surface form Disambiguated ID Type / Status
Subject Willesden E449389 entity
Predicate near P350 FINISHED
Object Kilburn NE NERFINISHED

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: Kilburn | Statement: [Willesden, near, Kilburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilburn
Context triple: [Willesden, near, Kilburn]
  • A. Kilburn chosen
    Kilburn is a diverse residential and commercial district in northwest London known for its vibrant high street and strong Irish and Afro-Caribbean communities.
  • B. Kilburn
    Kilburn is a suburb in the inner north of Adelaide, South Australia, known for its residential character and proximity to major transport routes.
  • C. North Kensington
    North Kensington is a residential and culturally diverse area in west London known for its strong community identity and proximity to Notting Hill and Ladbroke Grove.
  • D. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • E. Handsworth
    Handsworth is a suburban area of Birmingham, England, historically significant for its role in the Industrial Revolution and as the home of industrialist Matthew Boulton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fca04481908f0dd875953fd82f completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.