Triple

T14908522
Position Surface form Disambiguated ID Type / Status
Subject Kelowna International Airport E371198 entity
Predicate serves P98 FINISHED
Object Kelowna E76207 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: Kelowna | Statement: [Kelowna International Airport, serves, Kelowna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelowna
Context triple: [Kelowna International Airport, serves, Kelowna]
  • A. Kelowna chosen
    Kelowna is a mid-sized city in the Okanagan Valley of south-central British Columbia, Canada, known for its wineries, orchards, and lakeside recreation on Okanagan Lake.
  • B. Kamloops
    Kamloops is a city in south-central British Columbia, Canada, known as a regional hub at the junction of the North and South Thompson Rivers.
  • C. Penticton
    Penticton is a city in southern British Columbia, Canada, known for its lakeside beaches, wineries, and outdoor recreation in the Okanagan region.
  • D. Vancouver–Kelowna
    Vancouver–Kelowna is a major intercity travel corridor in British Columbia, Canada, linking the coastal city of Vancouver with the interior city of Kelowna in the Okanagan Valley.
  • E. Salmon Arm
    Salmon Arm is a small city in south-central British Columbia, Canada, known for its location on Shuswap Lake and its surrounding mountain and lake scenery.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61b3c808190b4f6df4e5cb401ad completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef888a7988190837f3f4b8d340e04 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 2:25 a.m.