Triple

T14197240
Position Surface form Disambiguated ID Type / Status
Subject Nuneaton railway station E351867 entity
Predicate hasServiceTo P6787 FINISHED
Object Bedworth E353059 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: Bedworth | Statement: [Nuneaton railway station, hasServiceTo, Bedworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedworth
Context triple: [Nuneaton railway station, hasServiceTo, Bedworth]
  • A. Bedworth chosen
    Bedworth is a small market town in Warwickshire, England, situated between Coventry and Nuneaton and known historically for coal mining and ribbon weaving.
  • B. Brimpton
    Brimpton is a rural village and civil parish in West Berkshire, England, known for its historic churches and countryside setting.
  • C. Minstead
    Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
  • D. Buxworth
    Buxworth is a small village in the High Peak district of Derbyshire, England, known historically for its canal basin and industrial heritage.
  • E. Lutterworth
    Lutterworth is a historic market town in the English Midlands, known for its medieval church and associations with Bible translator John Wycliffe.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.