Triple

T22593014
Position Surface form Disambiguated ID Type / Status
Subject Charnwood E564997 entity
Predicate borders P224 FINISHED
Object Hinckley and Bosworth 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: Hinckley and Bosworth | Statement: [Charnwood, borders, Hinckley and Bosworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinckley and Bosworth
Context triple: [Charnwood, borders, Hinckley and Bosworth]
  • A. Hinckley and Bosworth chosen
    Hinckley and Bosworth is a local government district and borough in southwest Leicestershire, England, centered on the market town of Hinckley and encompassing a mix of urban and rural communities.
  • B. Bosworth
    Bosworth is a surname of English origin borne by various notable individuals, including American actress Kate Bosworth.
  • C. Bolsover
    Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
  • D. Kenilworth
    Kenilworth is a historic market town in central England best known for the extensive ruins of Kenilworth Castle and its connections to Tudor and medieval history.
  • E. Kenilworth
    Kenilworth is a residential suburb in Cape Town, South Africa, known for its tree-lined streets, mixed-use character, and proximity to major schools and transport routes.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.