Triple

T2603057
Position Surface form Disambiguated ID Type / Status
Subject Slough E58388 entity
Predicate hasNearbyTown P3883 FINISHED
Object Uxbridge E131158 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: Uxbridge | Statement: [Slough, hasNearbyTown, Uxbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uxbridge
Context triple: [Slough, hasNearbyTown, Uxbridge]
  • A. Uxbridge
    Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
  • B. Uxbridge chosen
    Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
  • C. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • D. Stanmore
    Stanmore is a suburban district in the London Borough of Harrow, England, known for its residential character and historical connections, including former Royal Air Force sites.
  • E. Kentish Town
    Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd48241c48190bc80418212e33bc8 completed March 7, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b333f7b3848190bcef4a06a2b94dd1 completed March 12, 2026, 9:45 p.m.
Created at: March 6, 2026, 9:49 p.m.