Triple

T8090306
Position Surface form Disambiguated ID Type / Status
Subject Cadishead E188841 entity
Predicate neighbouringArea P33892 FINISHED
Object Glazebrook E187346 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: Glazebrook | Statement: [Cadishead, neighbouringArea, Glazebrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glazebrook
Context triple: [Cadishead, neighbouringArea, Glazebrook]
  • A. Glazebrook chosen
    Glazebrook is a village in Greater Manchester, England, known for its rural setting and proximity to the Chat Moss peat bog.
  • B. Bilbrook
    Bilbrook is a village in Staffordshire, England, known as the place where geneticist Reginald Punnett died.
  • C. Blatchford
    Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
  • D. Glazebury
    Glazebury is a village in the borough of Warrington, England, situated near Culcheth and known for its semi-rural character and local community amenities.
  • E. Binbrook
    Binbrook is a small rural village in Lincolnshire, England, known historically for its agricultural setting and former RAF airfield.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640a42648190bc1a3072eb338e22 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.