Triple

T9960952
Position Surface form Disambiguated ID Type / Status
Subject North Bay/Jack Garland Airport E195565 entity
Predicate operator P179 FINISHED
Object City of North Bay E36961 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: City of North Bay | Statement: [North Bay/Jack Garland Airport, operator, City of North Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of North Bay
Context triple: [North Bay/Jack Garland Airport, operator, City of North Bay]
  • A. North Bay
    North Bay is the northern section of Biscayne Bay in South Florida, known for its coastal neighborhoods, waterways, and proximity to the Miami metropolitan area.
  • B. North Bay
    North Bay is a small inlet of Puget Sound in Washington State, known for its quiet shoreline and proximity to communities like Belfair.
  • C. North Bay chosen
    North Bay is a small city in northeastern Ontario, Canada, located on the shore of Lake Nipissing and known as a regional transportation and service hub.
  • D. North Bay
    North Bay is a coastal inlet on Cape Cod in Massachusetts known for its sheltered waters and recreational boating.
  • E. North Bay
    North Bay is a scenic bay in Ontario, Canada, known for its picturesque shoreline and recreational waterfront along Lake Nipissing.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d219c48190b2084b0eb07ae125 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269ef79548190ac87851efffa3f12 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:47 p.m.