Triple
T9080257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottawasaga River |
E217600
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Alliston |
E645582
|
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: Alliston | Statement: [Nottawasaga River, flowsThrough, Alliston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alliston Context triple: [Nottawasaga River, flowsThrough, Alliston]
-
A.
Alliston
chosen
Alliston is a community in New Tecumseth, Ontario, Canada, known historically as the birthplace of insulin co-discoverer Sir Frederick Banting.
-
B.
Orillia
Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
-
C.
Oshawa
Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
-
D.
Cobourg
Cobourg is a small town in Ontario, Canada, known for its historic downtown, sandy beach, and picturesque waterfront along Lake Ontario.
-
E.
Welland
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1100ccc888190a80f4b73b336c1ad |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:13 p.m.