Triple

T22732221
Position Surface form Disambiguated ID Type / Status
Subject Leamington Spa railway station E562163 entity
Predicate hasServiceTo P6787 FINISHED
Object Dorridge NE NERFINISHED

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: Dorridge | Statement: [Leamington Spa railway station, hasServiceTo, Dorridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorridge
Context triple: [Leamington Spa railway station, hasServiceTo, Dorridge]
  • A. Dorridge chosen
    Dorridge is a suburban village in the Metropolitan Borough of Solihull, England, known for its affluent residential character and rail links to Birmingham and London.
  • B. Doveridge
    Doveridge is a village in Derbyshire, England, known for its rural setting near the River Dove and its historic church and traditional English countryside character.
  • C. Dodworth
    Dodworth is a village and civil parish in South Yorkshire, England, situated near Barnsley and historically associated with coal mining and railway links.
  • D. Dockenfield
    Dockenfield is a small rural village and civil parish located in the borough of Waverley in Surrey, England.
  • E. Lowdon
    Lowdon is a surname and given name that serves as a variant spelling of Lowden, used by individuals and families primarily in English-speaking regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792ef5bc819088af71bdc96ed41b completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.