Triple

T21219447
Position Surface form Disambiguated ID Type / Status
Subject Bedford railway station E522924 entity
Predicate connectsTo P845 FINISHED
Object Kettering 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: Kettering | Statement: [Bedford railway station, connectsTo, Kettering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering
Context triple: [Bedford railway station, connectsTo, Kettering]
  • A. Kettering
    Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
  • B. Kettering chosen
    Kettering is a market and industrial town in Northamptonshire, England, known historically for its boot and shoe manufacturing and its location on major road and rail routes.
  • C. Woburn
    Woburn is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and mix of high-rise apartments and single-family homes.
  • D. Woburn
    Woburn is a village in Saint George Parish on the Caribbean island nation of Grenada.
  • E. Woburn
    Woburn is a residential suburb of Lower Hutt in the Wellington region of New Zealand, known for its leafy streets and established homes.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73476d93481909c6c99dcc0b16123 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:43 p.m.