Triple

T5676623
Position Surface form Disambiguated ID Type / Status
Subject Banff E125100 entity
Predicate postalTown P2711 FINISHED
Object BANFF E125100 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: BANFF | Statement: [Banff, postalTown, BANFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BANFF
Context triple: [Banff, postalTown, BANFF]
  • A. Banff chosen
    Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
  • B. Banff
    Banff is a resort town in the Canadian Rockies of Alberta, known for its stunning mountain scenery, hot springs, and role as a gateway to outdoor recreation in Banff National Park.
  • C. Beaverlodge
    Beaverlodge is a small town in northwestern Alberta, Canada, known for its agricultural base and proximity to the city of Grande Prairie.
  • D. Banff National Park
    Banff National Park is Canada’s oldest national park, renowned for its rugged Rocky Mountain landscapes, turquoise glacial lakes, and abundant wildlife.
  • E. Kootenay Canyon
    Kootenay Canyon is a dramatic, steep-walled gorge carved by the Kootenay River, known for its rugged scenery and outdoor recreation opportunities in southeastern British Columbia.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dbbbe9081908d1915b898722c18 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.