Triple
T22833205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesekinika |
E565860
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Kirkland Lake |
—
|
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: Kirkland Lake | Statement: [Sesekinika, hasNearbyCity, Kirkland Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirkland Lake Context triple: [Sesekinika, hasNearbyCity, Kirkland Lake]
-
A.
Kirkland Lake
chosen
Kirkland Lake is a historic gold mining town in northeastern Ontario, Canada, known for its long-standing mining industry and small-town character.
-
B.
Cochrane–Kirkland Lake
Cochrane–Kirkland Lake is an intercity bus route in northeastern Ontario, Canada, connecting the towns of Cochrane and Kirkland Lake.
-
C.
Elliot Lake
Elliot Lake is a small former uranium mining town in Northern Ontario, Canada, now known as a retirement and outdoor recreation community surrounded by lakes and forests.
-
D.
Kawartha Lakes
Kawartha Lakes is a single-tier city in central Ontario, Canada, known for its scenic lakes, cottage country, and outdoor recreation.
-
E.
Temagami Lake
Temagami Lake is a large, scenic freshwater lake in northeastern Ontario, Canada, renowned for its rugged wilderness, old-growth pine forests, and popular canoeing and fishing opportunities.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2d830881908d69929b854aad66 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.