Triple
T17828096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterton River |
E445174
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Cardston |
—
|
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: Cardston | Statement: [Waterton River, hasNearbySettlement, Cardston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cardston Context triple: [Waterton River, hasNearbySettlement, Cardston]
-
A.
Cardston
chosen
Cardston is a small town in southern Alberta, Canada, known for its strong Latter-day Saint heritage and historic temple.
-
B.
Lumsden
Lumsden is a small rural town in New Zealand’s Southland region, serving as a local service and transport hub for the surrounding farming communities.
-
C.
Lumsden
Lumsden is a small town in Saskatchewan, Canada, situated in the Qu’Appelle Valley northwest of Regina and known for its scenic setting and agricultural roots.
-
D.
Okotoks
Okotoks is a rapidly growing town in southern Alberta, Canada, located just south of Calgary along the Sheep River.
-
E.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.