Triple

T5493676
Position Surface form Disambiguated ID Type / Status
Subject Nottingham to Skegness E123761 entity
Predicate startPoint P389 FINISHED
Object Nottingham E29264 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: Nottingham | Statement: [Nottingham to Skegness, startPoint, Nottingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nottingham
Context triple: [Nottingham to Skegness, startPoint, Nottingham]
  • A. Nottingham chosen
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • B. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • C. Coventry
    Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
  • D. Sheffield
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • E. Sheffield
    Sheffield is a small rural town in southwestern Massachusetts known for its scenic landscapes, historic charm, and location in the Berkshires.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8584123481909d41d83c60ec2561 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 2:10 p.m.