Triple
T17083388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Albert, Saskatchewan |
E414530
|
entity |
| Predicate | distanceToSaskatoon |
P125820
|
FINISHED |
| Object | approximately 140 km north |
—
|
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 140 km north | Statement: [Prince Albert, Saskatchewan, distanceToSaskatoon, approximately 140 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSaskatoon Context triple: [Prince Albert, Saskatchewan, distanceToSaskatoon, approximately 140 km north]
-
A.
distanceToWinnipeg
Indicates the spatial distance between a given entity’s location and the city of Winnipeg.
-
B.
distanceFromCalgary
Indicates the spatial distance between a given location and the city of Calgary.
-
C.
distanceToEdmonton
Indicates the spatial distance between a given entity’s location and the city of Edmonton.
-
D.
distanceFromTimmins
Indicates the measured distance between a given location or entity and the reference location Timmins.
-
E.
distanceToSiouxFalls
Indicates the spatial distance between a given entity and the location of Sioux Falls.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe4d3908190b23ce3c2d3fe7d14 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.