Triple

T19011301
Position Surface form Disambiguated ID Type / Status
Subject M54 E465231 entity
Predicate serves P98 FINISHED
Object Telford 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: Telford | Statement: [M54, serves, Telford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telford
Context triple: [M54, serves, Telford]
  • A. Telford
    Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
  • B. Telford chosen
    Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
  • C. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • D. Lichfield
    Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
  • E. Redditch
    Redditch is a town in the county of Worcestershire in England, historically known for its needle-making industry and now a modern residential and commercial center.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8f99081908cf535a4ec11adf7 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.