Triple
T20128260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell County |
E490814
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Bourget |
—
|
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: Bourget | Statement: [Russell County, containsSettlement, Bourget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bourget Context triple: [Russell County, containsSettlement, Bourget]
-
A.
Bourget
chosen
Bourget is a small rural community in eastern Ontario, Canada, known for its francophone population and proximity to the Larose Forest.
-
B.
Limoilou
Limoilou is a primarily residential neighborhood in Quebec City, Canada, known for its dense urban fabric, vibrant local commerce, and historic working-class character.
-
C.
Blainville
Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
-
D.
Blainville
Blainville was a French zoologist and anatomist known for his influential work in comparative anatomy and taxonomy in the early 19th century.
-
E.
Laval
Laval is a major city in western France, located in the Mayenne department, known for its historic architecture and role as an administrative and economic center of the region.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.