Triple

T4730154
Position Surface form Disambiguated ID Type / Status
Subject Mansfield E104984 entity
Predicate isNear P350 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: [Mansfield, isNear, Nottingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nottingham
Context triple: [Mansfield, isNear, 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. Sheffield
    Sheffield is a small rural town in southwestern Massachusetts known for its scenic landscapes, historic charm, and location in the Berkshires.
  • D. Sheffield
    Sheffield is a small city in northwestern Alabama, part of the Muscle Shoals metropolitan area known for its rich musical heritage and Tennessee River location.
  • E. Sheffield
    Sheffield is a small town in northern Tasmania, Australia, known as the "Town of Murals" for its numerous outdoor paintings and as a gateway to nearby natural attractions.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64629bc081908754aa8a2630091f completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c80125c8190b0ac3f759cce1c32 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:19 p.m.