Triple

T1020790
Position Surface form Disambiguated ID Type / Status
Subject Northern Ontario E22034 entity
Predicate containsCity P294 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: [Northern Ontario, containsCity, Kenora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenora
Context triple: [Northern Ontario, containsCity, 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. 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.
  • C. Thunder Bay
    Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
  • D. Labrador City
    Labrador City is a mining-based town in western Labrador, Newfoundland and Labrador, Canada, known for its large iron ore operations and remote northern setting.
  • E. Kenora District
    Kenora District is a vast, sparsely populated administrative region in northwestern Ontario known for its forests, lakes, and remote 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dd76b081909ed4d2f7adb6480d completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c12604c8190b3ce04c96b0000f1 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.