Triple

T19833910
Position Surface form Disambiguated ID Type / Status
Subject Roker E476533 entity
Predicate partOf P40 FINISHED
Object City of Sunderland 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 Sunderland | Statement: [Roker, partOf, City of Sunderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sunderland
Context triple: [Roker, partOf, City of Sunderland]
  • A. Grangetown, Sunderland
    Grangetown, Sunderland is a residential suburb of the city of Sunderland in Tyne and Wear, England.
  • B. City of Newcastle
    The City of Newcastle is a coastal local government area in New South Wales, Australia, centered on the city of Newcastle and known for its beaches, port, and urban communities.
  • C. Sunderland chosen
    Sunderland is a coastal city in Tyne and Wear, North East England, historically known for its shipbuilding and coal-mining industries and now a center for services, education, and automotive manufacturing.
  • D. Sunderland
    Sunderland is a small rural community in the township of Brock in Durham Region, Ontario, Canada.
  • E. City of Manchester
    The City of Manchester is a major metropolitan borough in North West England centered on the city of Manchester and encompassing numerous surrounding districts and suburbs.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0347c8190b586c7fe01b61e97 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.