Triple
T7785090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardston County |
E187221
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Province of Alberta |
E16102
|
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: Province of Alberta | Statement: [Cardston County, partOf, Province of Alberta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Province of Alberta Context triple: [Cardston County, partOf, Province of Alberta]
-
A.
Alberta
chosen
Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
-
B.
Saskatchewan
Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
-
C.
Great Plains Province
The Great Plains Province is a vast, mostly flat to gently rolling region of central North America characterized by grasslands, prairies, and extensive agricultural use.
-
D.
Mountain Province
Mountain Province is a landlocked, mountainous province in the northern Philippines known for its rugged terrain, indigenous cultures, and rice terraces.
-
E.
Manitoba
Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf22d9b4819081b877c751204a22 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf604715081909eed614cbadb8db6 |
completed | March 30, 2026, 10:15 p.m. |
Created at: March 30, 2026, 4:23 p.m.