Triple

T20873849
Position Surface form Disambiguated ID Type / Status
Subject Bearskin Airlines E513965 entity
Predicate headquartersLocation P62 FINISHED
Object Thunder Bay, Ontario 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: Thunder Bay, Ontario | Statement: [Bearskin Airlines, headquartersLocation, Thunder Bay, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Bay, Ontario
Context triple: [Bearskin Airlines, headquartersLocation, Thunder Bay, Ontario]
  • A. Thunder Bay
    Thunder Bay is a bay on Lake Huron in Michigan known for its numerous shipwrecks and the Thunder Bay National Marine Sanctuary.
  • B. Thunder Bay chosen
    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.
  • C. Owen Sound
    Owen Sound is a small port city on Georgian Bay in southwestern Ontario, Canada, known for its waterfront, regional services, and surrounding natural attractions.
  • D. 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.
  • E. Thunder Bay—Atikokan
    Thunder Bay—Atikokan is a provincial electoral district in northwestern Ontario, Canada, represented in the Legislative Assembly of Ontario.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c46639308190a616193f3975d453 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.