Triple

T16410563
Position Surface form Disambiguated ID Type / Status
Subject Kilburn E398550 entity
Predicate hasNeighbourhood P4813 FINISHED
Object South 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: South Kilburn | Statement: [Kilburn, hasNeighbourhood, South Kilburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Kilburn
Context triple: [Kilburn, hasNeighbourhood, South 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. Hampstead and Kilburn
    Hampstead and Kilburn is a UK parliamentary constituency in northwest London, covering affluent and diverse residential areas within and around the London Borough of Camden.
  • D. Shepherd’s Bush
    Shepherd’s Bush is a vibrant district in West London known for its major shopping center Westfield London, diverse community, and busy transport hub around Shepherd’s Bush Green.
  • E. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328731a408190b38dcab0b7bb65ff completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c66d41481909340f247f6e5393f completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.