Triple
T13154680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montérégie |
E312551
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Saint-Constant |
E438553
|
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-Constant | Statement: [Montérégie, contains, Saint-Constant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Constant Context triple: [Montérégie, contains, Saint-Constant]
-
A.
Saint-Constant
chosen
Saint-Constant is a suburban city located on the South Shore of Montreal in the province of Quebec, Canada.
-
B.
Outremont
Outremont is an affluent residential borough of Montreal, Quebec, known for its tree-lined streets, historic architecture, and significant Hasidic Jewish community.
-
C.
Verchères
Verchères is a riverside municipality in Quebec, Canada, located on the south shore of the Saint Lawrence River and known for its historic village and agricultural surroundings.
-
D.
Saint-Laurent, Quebec
Saint-Laurent is a borough of Montreal, Quebec, known as a major residential, commercial, and industrial hub with a diverse population and significant aerospace and technology sectors.
-
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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7696f0819094825b158e1e9a8c |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:11 p.m.