Triple
T7509874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 15 (Quebec) |
E177491
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Boisbriand |
E411972
|
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: Boisbriand | Statement: [Autoroute 15 (Quebec), passesThrough, Boisbriand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boisbriand Context triple: [Autoroute 15 (Quebec), passesThrough, Boisbriand]
-
A.
Boisbriand
chosen
Boisbriand is a suburban city in southwestern Quebec, Canada, located northwest of Montreal along the Rivière des Mille Îles.
-
B.
Trois-Rivières
Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
-
C.
Lévis
Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
-
D.
Bécancour, Quebec
Bécancour, Quebec is a small industrial and agricultural city on the south shore of the Saint Lawrence River in central Quebec, known for its industrial park and proximity to Trois-Rivières.
-
E.
Mascouche
Mascouche is a suburban city in southwestern Quebec, Canada, located northeast of Montreal and known for its rapid residential growth and commuter population.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d052888190ae8678f9134d737c |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ef549588190ab950abb3678128f |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:45 p.m.