Triple
T22234145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Simcoe |
E549543
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tay Township |
—
|
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: Tay Township | Statement: [North Simcoe, contains, Tay Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tay Township Context triple: [North Simcoe, contains, Tay Township]
-
A.
Tay Township
chosen
Tay Township is a small rural municipality in Simcoe County, Ontario, Canada, located along the southeastern shores of Georgian Bay.
-
B.
Casey Township
Casey Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
C.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
D.
Fawn Township
Fawn Township is a small, primarily residential municipality in Allegheny County, Pennsylvania, located along the Allegheny River northeast of Pittsburgh.
-
E.
Logan Township
Logan Township is a suburban municipality in Gloucester County, New Jersey, known for its mix of residential neighborhoods, industrial parks, and proximity to major transportation routes.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf61504819093e70bee4c575d1c |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.