Triple

T14725398
Position Surface form Disambiguated ID Type / Status
Subject Kingswood E345925 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Hanham E345936 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: Hanham | Statement: [Kingswood, hasNeighbouringArea, Hanham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanham
Context triple: [Kingswood, hasNeighbouringArea, Hanham]
  • A. Hanham chosen
    Hanham is a suburban village and residential area on the eastern edge of Bristol in South West England.
  • B. Harnham
    Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
  • C. Hamstead
    Hamstead is a suburban residential area in the West Midlands, England, situated between Birmingham and Sandwell.
  • D. Bookham
    Bookham is a village in Surrey, England, known for its residential character and proximity to the North Downs countryside.
  • E. Bookham
    Bookham is a small rural locality in New South Wales, Australia, situated along the Hume Highway and known for its agricultural surroundings and village community.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26013c8819090512f8b4df9cc87 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.