Triple

T5360524
Position Surface form Disambiguated ID Type / Status
Subject South Saskatchewan River E103008 entity
Predicate flowsThrough P225 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: [South Saskatchewan River, flowsThrough, Saskatchewan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saskatchewan
Context triple: [South Saskatchewan River, flowsThrough, 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf290bb4148190b6f98fcd36d03c02 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.