Triple
T11798801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Burgundy |
E280570
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Downtown Montreal |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Montreal Context triple: [Little Burgundy, adjacentTo, Downtown Montreal]
-
A.
downtown core of Montreal
chosen
The downtown core of Montreal is the city’s central business district and cultural hub, known for its dense concentration of offices, universities, shopping streets, and entertainment venues.
-
B.
Downtown Quebec City
Downtown Quebec City is the historic and commercial core of Quebec City, known for its European-style architecture, government institutions, and vibrant urban life.
-
C.
Montreal waterfront
The Montreal waterfront is a revitalized urban riverside area featuring parks, promenades, historic sites, and cultural attractions along the Saint Lawrence River.
-
D.
Montreal, Quebec, Canada
Montreal, Quebec, Canada is a major French-speaking metropolis known for its vibrant arts scene, diverse culture, and historic architecture on the Saint Lawrence River.
-
E.
Notre-Dame-de-Grâce, Montreal
Notre-Dame-de-Grâce is a primarily residential, historically anglophone neighborhood in western Montreal known for its diverse population, tree-lined streets, and mix of urban and suburban character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:42 p.m.