Triple

T20175265
Position Surface form Disambiguated ID Type / Status
Subject Tibshelf E492073 entity
Predicate hasPostTown P2711 FINISHED
Object ALFRETON 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: ALFRETON | Statement: [Tibshelf, hasPostTown, ALFRETON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALFRETON
Context triple: [Tibshelf, hasPostTown, ALFRETON]
  • A. Alfreton chosen
    Alfreton is a town in the Amber Valley district of Derbyshire, England, with historical roots in coal mining and industry.
  • B. Retford
    Retford is a historic market town in the English county of Nottinghamshire, known for its traditional town center and transport links.
  • C. Aldbrough
    Aldbrough is a coastal village in the East Riding of Yorkshire, England, known for its rural setting and proximity to the North Sea.
  • D. Bishop Auckland
    Bishop Auckland is a historic market town in North East England known for its medieval Auckland Castle and strong links to the Bishops of Durham.
  • E. Failsworth
    Failsworth is a town in Greater Manchester, England, situated between Manchester and Oldham and known historically for its textile industry.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eaa3b88190bef4f2db0125fdfc completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.