Triple
T13489499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 20 |
E318596
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Saint-Hyacinthe |
E589634
|
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: Saint-Hyacinthe | Statement: [Autoroute 20, passesThrough, Saint-Hyacinthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Hyacinthe Context triple: [Autoroute 20, passesThrough, Saint-Hyacinthe]
-
A.
Saint-Hyacinthe
chosen
Saint-Hyacinthe is a city in southwestern Quebec, Canada, known as an important regional center for agriculture, agri-food industries, and education.
-
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.
Drummondville
Drummondville is a city in the Centre-du-Québec region of Quebec, Canada, known as an important industrial and cultural hub along the Saint-François River.
-
D.
Longueuil
Longueuil is a major suburb of Montreal and one of the largest cities on the south shore of the Saint Lawrence River in Quebec, Canada.
-
E.
Boucherville
Boucherville is a suburban city located on the south shore of the Saint Lawrence River opposite Montreal in Quebec, Canada.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6442d5c8190820d473073a3c4c6 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 9:43 p.m.