Triple

T22386210
Position Surface form Disambiguated ID Type / Status
Subject Birmingham New Street – Rugeley Trent Valley E553401 entity
Predicate regionServed P82 FINISHED
Object Rugeley E103537 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: Rugeley | Statement: [Birmingham New Street – Rugeley Trent Valley, regionServed, Rugeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rugeley
Context triple: [Birmingham New Street – Rugeley Trent Valley, regionServed, Rugeley]
  • A. Rugeley chosen
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • B. Cannock
    Cannock is a market town in the Cannock Chase district of Staffordshire, England, known historically for coal mining and its proximity to the Cannock Chase Area of Outstanding Natural Beauty.
  • C. Wrottesley
    Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
  • D. Wolverley
    Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
  • E. Rowsley
    Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582f5f348190881df0d5af110aef completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0d546a08190bbd4b05020de6f78 completed May 18, 2026, 10:58 a.m.
Created at: April 16, 2026, 8:45 p.m.