Triple

T5907061
Position Surface form Disambiguated ID Type / Status
Subject Leicester railway station E131365 entity
Predicate hasServiceTo P6787 FINISHED
Object Kettering E216801 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: Kettering | Statement: [Leicester railway station, hasServiceTo, Kettering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettering
Context triple: [Leicester railway station, hasServiceTo, 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 historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
  • E. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03772d9dc8190899fe49ef887e685 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16ba6c881908e9a909bf86ea92d completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.