Triple

T18965688
Position Surface form Disambiguated ID Type / Status
Subject Hillsborough tram stop E464031 entity
Predicate hasBorough P300 FINISHED
Object City of Sheffield 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: City of Sheffield | Statement: [Hillsborough tram stop, hasBorough, City of Sheffield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sheffield
Context triple: [Hillsborough tram stop, hasBorough, City of Sheffield]
  • A. 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.
  • B. Sheffield
    Sheffield is a small rural town in southwestern Massachusetts known for its scenic landscapes, historic charm, and location in the Berkshires.
  • C. 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.
  • D. Sheffield
    Sheffield is a small unincorporated community in West Texas known historically as a ranching and oilfield service town along the Pecos River.
  • E. Sheffield chosen
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d663948190b496fbd2e69c7f43 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon