Triple
T9680291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Alberta |
E234261
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Cardston |
E143623
|
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: Cardston | Statement: [Southern Alberta, hasCity, Cardston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cardston Context triple: [Southern Alberta, hasCity, 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.
Okotoks
Okotoks is a rapidly growing town in southern Alberta, Canada, located just south of Calgary along the Sheep River.
-
D.
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.
-
E.
Grande Prairie
Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190fd1ad48190980e7bc3245046dc |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.