Triple
T28222173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CGA Canada |
E711487
|
entity |
| Predicate | professionCertified |
P102335
|
FINISHED |
| Object | Certified General Accountant |
—
|
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: Certified General Accountant | Statement: [CGA Canada, professionCertified, Certified General Accountant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionCertified Context triple: [CGA Canada, professionCertified, Certified General Accountant]
-
A.
isCertified
chosen
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
B.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
C.
professionalName
Indicates the formal name or title an entity uses in a professional or occupational context.
-
D.
professionPreparedFor
Indicates that an entity has been trained or equipped to perform a particular profession or occupational role.
-
E.
professionalSince
Indicates the point in time when an entity began its professional activity or career in a given role or field.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 10:47 p.m.