Triple
T37817045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Languages Act (Canada) |
E942802
|
entity |
| Predicate | createsOfficeOf |
P84375
|
FINISHED |
| Object | Commissioner of Official Languages |
—
|
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: Commissioner of Official Languages | Statement: [Official Languages Act (Canada), createsOfficeOf, Commissioner of Official Languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createsOfficeOf Context triple: [Official Languages Act (Canada), createsOfficeOf, Commissioner of Official Languages]
-
A.
allocatesOffice
Indicates assigning a specific office or workspace to an individual or organizational unit.
-
B.
createsExecutiveDepartment
Indicates that an entity establishes or brings into existence an executive-level governmental department.
-
C.
definesOfficeOf
chosen
Indicates that one entity specifies or establishes the official role, position, or office associated with another entity.
-
D.
reorganizedOfficeOf
Indicates that one entity has restructured, reshaped, or otherwise reorganized the organizational structure or functions of another entity’s office.
-
E.
specifiesOffice
Indicates that an entity is assigned to or associated with a particular office or official position.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.