Triple

T21269407
Position Surface form Disambiguated ID Type / Status
Subject Nottingham–Skegness line E524215 entity
Predicate passesThrough P225 FINISHED
Object Ancaster 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: Ancaster | Statement: [Nottingham–Skegness line, passesThrough, Ancaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancaster
Context triple: [Nottingham–Skegness line, passesThrough, Ancaster]
  • A. Ancaster chosen
    Ancaster is a village and civil parish in the South Kesteven district of Lincolnshire, England, known for its Roman history and archaeological remains.
  • B. Ancaster
    Ancaster is a historic community and former town now incorporated into the city of Hamilton, Ontario, Canada.
  • C. Didlington
    Didlington is a small village in Norfolk, England, known for its rural landscape, historic estate, and proximity to the River Wissey.
  • D. Morpeth
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • E. Uttoxeter
    Uttoxeter is a historic market town in central England known for its racecourse and rural Staffordshire setting.
  • 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.