Triple

T10805591
Position Surface form Disambiguated ID Type / Status
Subject Saskatchewan Roughriders E254955 entity
Predicate mediaMarket P2198 FINISHED
Object Saskatchewan E15926 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: Saskatchewan | Statement: [Saskatchewan Roughriders, mediaMarket, Saskatchewan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saskatchewan
Context triple: [Saskatchewan Roughriders, mediaMarket, Saskatchewan]
  • A. Saskatchewan chosen
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • B. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • C. Alberta
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • D. Prince Albert, Saskatchewan
    Prince Albert, Saskatchewan is a small city in central Saskatchewan, Canada, known as a regional service hub and gateway to nearby lakes, forests, and outdoor recreation areas.
  • E. Northern Saskatchewan
    Northern Saskatchewan is a sparsely populated, boreal forest and lake-rich region of northern Canada known for its remote wilderness, uranium mining, and Indigenous communities.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733726e2881908d4fe2cfe046ab43 completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0d849888190be46616ecc97c2b1 completed April 14, 2026, 9:25 p.m.
Created at: April 8, 2026, 9:18 p.m.