Triple

T14039121
Position Surface form Disambiguated ID Type / Status
Subject M58 motorway E337792 entity
Predicate near P350 FINISHED
Object Maghull E89627 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: Maghull | Statement: [M58 motorway, near, Maghull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maghull
Context triple: [M58 motorway, near, Maghull]
  • A. Maghull chosen
    Maghull is a suburban town in Merseyside, England, situated to the north of Liverpool and functioning largely as a residential commuter area.
  • B. Wallasey
    Wallasey is a coastal town on the Wirral Peninsula in northwest England, situated at the mouth of the River Mersey opposite Liverpool.
  • C. Saltney
    Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
  • D. Barrow-in-Furness
    Barrow-in-Furness is a coastal industrial town in Cumbria, England, historically known for its shipbuilding and submarine construction.
  • E. Poulton-le-Fylde
    Poulton-le-Fylde is a historic market town in Lancashire, England, known for its traditional town centre and proximity to the seaside resort of Blackpool.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33bc20081909abea7e64d1bd578 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.