Triple

T18298049
Position Surface form Disambiguated ID Type / Status
Subject Import Dock E438284 entity
Predicate locatedIn P40 FINISHED
Object East End of London 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: East End of London | Statement: [Import Dock, locatedIn, East End of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East End of London
Context triple: [Import Dock, locatedIn, East End of London]
  • A. East End of London chosen
    The East End of London is a historically working-class, culturally diverse area of London known for its industrial past, docklands, and strong local identity.
  • B. East End
    East End is a historic, predominantly Hispanic neighborhood in eastern Houston known for its industrial roots, rail infrastructure, and ongoing urban revitalization.
  • C. East End
    East End is a quiet, less-developed district on the eastern side of Grand Cayman known for its rugged coastline, diving spots, and more laid-back, local atmosphere.
  • D. East End
    East End is a small hamlet forming part of the rural village of Swerford in Oxfordshire, England.
  • E. East End
    East End is a historically working-class and culturally diverse area of London, known for its industrial past, immigrant communities, and role in the city’s social and economic history.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017cc540819096c103a2c72315e6 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.