Triple
T22000314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vision Montréal |
E543305
|
entity |
| Predicate | operatedLanguageEnvironment |
P19095
|
FINISHED |
| Object | French and English political context in Montreal |
—
|
LITERAL 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: French and English political context in Montreal | Statement: [Vision Montréal, operatedLanguageEnvironment, French and English political context in Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedLanguageEnvironment Context triple: [Vision Montréal, operatedLanguageEnvironment, French and English political context in Montreal]
-
A.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
-
B.
languageOfEnvironment
chosen
Indicates the language predominantly used or present in a given environment or context.
-
C.
languageOfOperator
Indicates that a particular language is used by, or associated with, a given operator in performing its functions or services.
-
D.
usesLanguageRuntime
Indicates that an entity operates using, depends on, or is executed within a specific language runtime environment.
-
E.
tertiaryLanguageOfOperation
Indicates that an entity uses a specified language as its third most prominent or prioritized language of operation.
- F. None of above.
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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127699a7881908a80b6e9e33fcc0b |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:20 p.m.