Triple
T16042633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Louise |
E389134
|
entity |
| Predicate | distanceToBanff |
P121719
|
FINISHED |
| Object | approximately 57 kilometres northwest of Banff |
—
|
LITERAL 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: approximately 57 kilometres northwest of Banff | Statement: [Lake Louise, distanceToBanff, approximately 57 kilometres northwest of Banff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBanff Context triple: [Lake Louise, distanceToBanff, approximately 57 kilometres northwest of Banff]
-
A.
distanceFromCalgary
Indicates the spatial distance between a given location and the city of Calgary.
-
B.
distanceToWhistlerByRoad
Indicates the road travel distance between a given place and Whistler.
-
C.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
-
D.
distanceFromBathurst
Indicates the spatial distance between a given entity and the reference location Bathurst.
-
E.
distanceToEdmonton
Indicates the spatial distance between a given entity’s location and the city of Edmonton.
- F. None of above. chosen
Provenance (4 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.