Triple

T21269406
Position Surface form Disambiguated ID Type / Status
Subject Nottingham–Skegness line E524215 entity
Predicate passesThrough P225 FINISHED
Object Bottesford 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: Bottesford | Statement: [Nottingham–Skegness line, passesThrough, Bottesford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bottesford
Context triple: [Nottingham–Skegness line, passesThrough, Bottesford]
  • A. Bottesford chosen
    Bottesford is a village in Leicestershire, England, known for its historic parish church and rural setting near the River Devon.
  • B. Burford
    Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
  • C. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • D. Batesford
    Batesford is a small rural township in Victoria, Australia, located just west of Geelong and known for its historic bridge and surrounding farming landscape.
  • E. Botesdale
    Botesdale is a small rural village in Suffolk, England, known for its historic buildings and traditional village character.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73651115081908b5083ba818a6bb1 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.