Triple
T19286749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madawaska River |
E482332
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Calabogie |
—
|
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: Calabogie | Statement: [Madawaska River, passesThrough, Calabogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calabogie Context triple: [Madawaska River, passesThrough, Calabogie]
-
A.
Calabogie
chosen
Calabogie is a small community in eastern Ontario, Canada, known for its lake, ski resort, and motorsports track.
-
B.
Deseronto
Deseronto is a small town in southeastern Ontario, Canada, located on the Bay of Quinte and known historically for its lumber and shipping industries.
-
C.
Moosonee
Moosonee is a remote northern Ontario community near James Bay, often considered a gateway to Canada’s Arctic region.
-
D.
Nashwaak Valley
Nashwaak Valley is a rural valley region in central New Brunswick, Canada, characterized by its forests, farms, and small communities along the Nashwaak River.
-
E.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc024a7081909a25d7cc4e048f79 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.