Triple

T23291688
Position Surface form Disambiguated ID Type / Status
Subject Keighley Library E590047 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object City of Bradford E52464 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: City of Bradford | Statement: [Keighley Library, locatedInAdministrativeTerritory, City of Bradford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bradford
Context triple: [Keighley Library, locatedInAdministrativeTerritory, City of Bradford]
  • A. Bradford
    Bradford is a town in Ontario, Canada, serving as the main urban centre of the municipality of Bradford West Gwillimbury.
  • B. Bradford
    Bradford is a masculine given name of Old English origin, traditionally meaning "broad ford" and used both as a first name and surname.
  • C. Bradford
    Bradford is a small industrial city in northern Pennsylvania known historically for its oil industry and as the home of the Zippo lighter company.
  • D. Bradford
    Bradford is a widely planted ornamental cultivar of the Callery pear tree known for its showy white spring blossoms and weak, break-prone branching structure.
  • E. Bradford chosen
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cc20c08190a6a678befe1061dd completed April 29, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c823660288190a7abf8e5dc4366bc completed May 19, 2026, 3:31 p.m.
Created at: April 17, 2026, 5:02 p.m.