Triple

T3733039
Position Surface form Disambiguated ID Type / Status
Subject Legislative Assembly of Saskatchewan E79113 entity
Predicate jurisdiction P82 FINISHED
Object Province of 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: Province of Saskatchewan | Statement: [Legislative Assembly of Saskatchewan, jurisdiction, Province of Saskatchewan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Province of Saskatchewan
Context triple: [Legislative Assembly of Saskatchewan, jurisdiction, Province of 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. Alberta
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • C. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • D. Mountain Province
    Mountain Province is a landlocked, mountainous province in the northern Philippines known for its rugged terrain, indigenous cultures, and rice terraces.
  • E. Churchill, Manitoba
    Churchill, Manitoba is a remote northern Canadian town on the shores of Hudson Bay, best known as one of the world’s premier destinations for viewing polar bears and beluga whales.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb2277a48190ae7594c4c4965a01 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02aac60819095e62cc5e792d538 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:34 p.m.