Triple

T21783045
Position Surface form Disambiguated ID Type / Status
Subject Armley E537763 entity
Predicate partOf P40 FINISHED
Object City of Leeds 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 Leeds | Statement: [Armley, partOf, City of Leeds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Leeds
Context triple: [Armley, partOf, City of Leeds]
  • A. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • B. Metropolitan Borough of Leeds chosen
    The Metropolitan Borough of Leeds is a large local government district in West Yorkshire, England, centered on the city of Leeds and encompassing numerous surrounding towns and villages.
  • C. 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.
  • 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
    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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462ed0ec81908833e18c164e8b5c completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.