Triple
T7321489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bow River |
E168557
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Banff |
E389133
|
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: [Bow River, passesThrough, Banff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banff Context triple: [Bow River, passesThrough, Banff]
-
A.
Banff
chosen
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.
-
B.
Banff
Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
-
C.
Canmore
Canmore is the online database of Scotland’s national record of the historic environment, documenting archaeological sites, buildings, and maritime heritage.
-
D.
Beaverlodge
Beaverlodge is a small town in northwestern Alberta, Canada, known for its agricultural base and proximity to the city of Grande Prairie.
-
E.
Invermere
Invermere is a small resort town in southeastern British Columbia, Canada, known for its lakeside recreation, mountain scenery, and outdoor tourism.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1ba58481909cfb5030b85f385a |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef01ea8c819091cd4106039c121e |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.