Triple

T16531585
Position Surface form Disambiguated ID Type / Status
Subject St John’s Wood Road E401578 entity
Predicate hasNearbyArea P4647 FINISHED
Object Kilburn E398550 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: Kilburn | Statement: [St John’s Wood Road, hasNearbyArea, Kilburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilburn
Context triple: [St John’s Wood Road, hasNearbyArea, 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. 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.
  • C. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • D. 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.
  • E. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed8075c81908ff47396879abd0c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a913388190afebe40fcc42e731 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.