Triple

T8382627
Position Surface form Disambiguated ID Type / Status
Subject 1996 World Figure Skating Championships E197730 entity
Predicate hostCity P1798 FINISHED
Object Edmonton E23353 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: Edmonton | Statement: [1996 World Figure Skating Championships, hostCity, Edmonton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmonton
Context triple: [1996 World Figure Skating Championships, hostCity, Edmonton]
  • A. Edmonton chosen
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • B. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • C. Calgary
    Calgary is a small coastal village on the Isle of Mull in Scotland, known for its scenic white-sand beach and surrounding natural beauty.
  • D. Calgary
    Calgary is a major city in the province of Alberta, Canada, known for its oil and gas industry, proximity to the Rocky Mountains, and the annual Calgary Stampede.
  • E. Lethbridge
    Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80ddc0f08190a90d4d9070bf713b completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02c0664481908f3c79246350a248 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:02 p.m.