Triple
T19905361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Lemaire |
E478399
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | LaSalle, Quebec |
—
|
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: LaSalle, Quebec | Statement: [Jacques Lemaire, placeOfBirth, LaSalle, Quebec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaSalle, Quebec Context triple: [Jacques Lemaire, placeOfBirth, LaSalle, Quebec]
-
A.
LaSalle, Quebec, Canada
chosen
LaSalle is a residential borough of Montreal in Quebec, Canada, known for its St. Lawrence River waterfront and diverse, largely francophone community.
-
B.
Les Cèdres, Quebec
Les Cèdres, Quebec is a small municipality in southwestern Quebec, Canada, situated along the Saint Lawrence River west of Montreal.
-
C.
Joliette, Quebec
Joliette, Quebec is a small city in the Lanaudière region northeast of Montreal, known as a regional cultural and administrative center.
-
D.
Mirabel, Quebec
Mirabel, Quebec is a city in southwestern Quebec, Canada, known for its large rural territory and as the former site of Montréal–Mirabel International Airport.
-
E.
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.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65945cc2081908224902d5f042d7a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.