Triple

T4909252
Position Surface form Disambiguated ID Type / Status
Subject Mountain Daylight Time E110191 entity
Predicate usedByCity P4810 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: [Mountain Daylight Time, usedByCity, Edmonton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmonton
Context triple: [Mountain Daylight Time, usedByCity, 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be779ed15481908366b5e22c9960e6 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.