Triple

T20896775
Position Surface form Disambiguated ID Type / Status
Subject Lethbridge E514557 entity
Predicate hasAirport P105 FINISHED
Object Lethbridge Airport 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: Lethbridge Airport | Statement: [Lethbridge, hasAirport, Lethbridge Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lethbridge Airport
Context triple: [Lethbridge, hasAirport, Lethbridge Airport]
  • A. Lethbridge Airport chosen
    Lethbridge Airport is a regional airport in Lethbridge, Alberta, Canada, providing commercial and general aviation services to the surrounding area.
  • B. Red Deer Regional Airport
    Red Deer Regional Airport is a small commercial and general aviation airport serving the city of Red Deer and the surrounding central Alberta region in Canada.
  • C. Lloydminster Airport
    Lloydminster Airport is a regional public airport serving the bi-provincial city of Lloydminster on the Alberta–Saskatchewan border in Canada.
  • D. Medicine Hat Regional Airport
    Medicine Hat Regional Airport is a small commercial and general aviation airport serving the city of Medicine Hat in southeastern Alberta, Canada.
  • E. Grande Prairie Airport
    Grande Prairie Airport is a regional airport in northwestern Alberta, Canada, providing commercial passenger, cargo, and general aviation services to the city of Grande Prairie and surrounding areas.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d062f26c81908d99d6a9d3b99604 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:47 p.m.