Triple

T20497091
Position Surface form Disambiguated ID Type / Status
Subject Arabella Figg E502902 entity
Predicate residence P75 FINISHED
Object Little Whinging 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: Little Whinging | Statement: [Arabella Figg, residence, Little Whinging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Whinging
Context triple: [Arabella Figg, residence, Little Whinging]
  • A. Little Whinging chosen
    Little Whinging is a quiet, suburban English town in the Harry Potter series, best known as the home of Harry’s unpleasant Muggle relatives, the Dursleys.
  • B. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • C. Tadworth
    Tadworth is a suburban village in Surrey, England, situated on the North Downs and known for its residential character and proximity to Epsom Downs.
  • D. Purley
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • E. Weybridge
    Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbefe4c819098af5bfd4d92341d completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.