Triple

T7100483
Position Surface form Disambiguated ID Type / Status
Subject Ontario federal electoral districts E165442 entity
Predicate hasNotableDistrict P295 FINISHED
Object Kenora E48321 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: Kenora | Statement: [Ontario federal electoral districts, hasNotableDistrict, Kenora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenora
Context triple: [Ontario federal electoral districts, hasNotableDistrict, Kenora]
  • A. Kenora chosen
    Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
  • B. Fort Frances
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • C. Petrolia
    Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
  • D. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • E. Eganville
    Eganville is a small community in eastern Ontario, Canada, known for its location along the Bonnechere River and nearby limestone caves.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e586b7208190bab9429ded35ba4f completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca9b58c8190a91023de6811b21a completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:42 p.m.