Triple
T19738791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Sullivan |
E474056
|
entity |
| Predicate | from |
P12978
|
FINISHED |
| Object | Timmins, Ontario |
—
|
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: Timmins, Ontario | Statement: [Steve Sullivan, from, Timmins, Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timmins, Ontario Context triple: [Steve Sullivan, from, Timmins, Ontario]
-
A.
Timmins, Ontario, Canada
chosen
Timmins, Ontario, Canada is a northern mining city best known as the hometown of country music star Shania Twain.
-
B.
Killarney, Ontario
Killarney, Ontario is a small lakeside community on the north shore of Georgian Bay known as a gateway to the scenic wilderness of Killarney Provincial Park.
-
C.
Petrolia, Ontario
Petrolia, Ontario is a small Canadian town historically known as the birthplace of the country’s oil industry, located in the Lambton County region of Southwestern Ontario.
-
D.
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.
-
E.
City of Timmins
The City of Timmins is a mining-centered city in northeastern Ontario, Canada, known for its gold production history and role as a regional service hub.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.