Triple

T4592939
Position Surface form Disambiguated ID Type / Status
Subject Rugeley E103537 entity
Predicate hasPostTown P2711 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: [Rugeley, hasPostTown, RUGELEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RUGELEY
Context triple: [Rugeley, hasPostTown, 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. Rudge
    Rudge is a character from Alan Bennett’s play and film "The History Boys," known as one of the students whose academic potential is initially underestimated.
  • C. Ruxley
    Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
  • D. Ropley
    Ropley is a village in Hampshire, England, known for its heritage railway connections and rural countryside setting.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593cf8508190acfc6ddb5716e80a completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0d553f08190a56020e1bf8f700d completed March 21, 2026, 12:05 a.m.
Created at: March 20, 2026, 1:11 p.m.