Triple
T5322338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapuskasing |
E121702
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Timmins |
E38453
|
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: Timmins | Statement: [Kapuskasing, hasNearbyCommunity, Timmins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timmins Context triple: [Kapuskasing, hasNearbyCommunity, Timmins]
-
A.
Timmins
chosen
Timmins is a city in northeastern Ontario, Canada, known for its rich mining history and role as a regional service and economic hub.
-
B.
Townsville
Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
-
C.
Townsville
Townsville is the fictional, crime-ridden yet colorful city that serves as the primary backdrop for the adventures of The Powerpuff Girls.
-
D.
Kenora
Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
-
E.
Fort Frances
Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8577ba3881909a28cbf744648256 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21bba3f8819085efcb9d75fea1f9 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:59 p.m.