Triple

T587985
Position Surface form Disambiguated ID Type / Status
Subject Oldham borough E17200 entity
Predicate hasMajorTown P316 FINISHED
Object Royton E83854 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: Royton | Statement: [Oldham borough, hasMajorTown, Royton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royton
Context triple: [Oldham borough, hasMajorTown, Royton]
  • A. Royton chosen
    Royton is a town in Greater Manchester, England, historically part of Lancashire and now within the Metropolitan Borough of Oldham.
  • B. Timperley
    Timperley is a suburban village within the Metropolitan Borough of Trafford in Greater Manchester, England, known for its residential character and commuter links to Manchester.
  • C. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • D. Long Ashton
    Long Ashton is a village and civil parish in North Somerset, England, located just southwest of Bristol.
  • E. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a48e53081908e5d5e093edb5e75 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:33 p.m.