Triple
T17651174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Alberta |
E429492
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Camrose |
—
|
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: Camrose | Statement: [Central Alberta, hasTown, Camrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camrose Context triple: [Central Alberta, hasTown, Camrose]
-
A.
Nanton
Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
-
B.
Stettler
Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
-
C.
Stettler
Stettler is a small town in central Alberta, Canada, known for its agricultural roots and heritage railway attractions.
-
D.
North Battleford
North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
-
E.
Camrose, Alberta, Canada
chosen
Camrose is a small city in central Alberta, Canada, known for its parks, festivals, and role as a regional service and education hub.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3d4948819084de72bed922be6e |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.