Triple

T1180146
Position Surface form Disambiguated ID Type / Status
Subject Canadian Airlines E25115 entity
Predicate operatedFocusCity P1295 FINISHED
Object Saskatoon E80843 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: Saskatoon | Statement: [Canadian Airlines, operatedFocusCity, Saskatoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saskatoon
Context triple: [Canadian Airlines, operatedFocusCity, Saskatoon]
  • A. Saskatoon chosen
    Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
  • B. Moose Jaw
    Moose Jaw is a mid-sized city in southern Saskatchewan, Canada, known for its historic downtown, underground tunnels, and role as a regional service and transportation hub.
  • C. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • D. 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.
  • E. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b6343c8190af6e28ccdaab6562 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:45 p.m.