Triple
T32880473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institut canadien de recherche sur les minorités linguistiques |
E841048
|
entity |
| Predicate | langue de travail |
P155565
|
FINISHED |
| Object | français |
—
|
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: français | Statement: [Institut canadien de recherche sur les minorités linguistiques, langue de travail, français]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: langue de travail Context triple: [Institut canadien de recherche sur les minorités linguistiques, langue de travail, français]
-
A.
lenguaDeTrabajo
chosen
Indicates that something functions as a working language used for communication in a specific context or setting.
-
B.
containsWorkLanguage
Indicates that one entity includes or is associated with a specific language used for a work (such as a document, publication, or creative piece).
-
C.
primaryLanguageInWork
Indicates that a specified language is the main or predominant language used within a particular work (such as a book, film, or document).
-
D.
workLanguageVariant
Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
-
E.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 1, 2026, 1:18 a.m.