Triple

T22400913
Position Surface form Disambiguated ID Type / Status
Subject Kenora Airport E553755 entity
Predicate serves P98 FINISHED
Object City of Kenora NE NERFINISHED

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: City of Kenora | Statement: [Kenora Airport, serves, City of Kenora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kenora
Context triple: [Kenora Airport, serves, City of 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. City of Timmins
    The City of Timmins is a mining-centered city in northeastern Ontario, Canada, known for its gold production history and role as a regional service hub.
  • C. 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.
  • D. City of Algoma
    The City of Algoma is a small lakeside community in northeastern Wisconsin known for its Lake Michigan shoreline, commercial fishing heritage, and local art and tourism.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b39c908190a735aa860d733869 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.