Triple
T9993603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Diploma |
E196946
|
entity |
| Predicate | minimumElectiveCredits |
P57569
|
FINISHED |
| Object | 12 credits |
—
|
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: 12 credits | Statement: [Ontario Secondary School Diploma, minimumElectiveCredits, 12 credits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumElectiveCredits Context triple: [Ontario Secondary School Diploma, minimumElectiveCredits, 12 credits]
-
A.
typicalCreditRequirement
chosen
Indicates the usual or standard amount of credit that is generally required or expected in a given context.
-
B.
isHighSchoolElective
Indicates that a course or subject is offered as an optional, non-required class within a high school curriculum.
-
C.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
D.
completionAsAcademicRequirementFor
Indicates that completing one entity is required to fulfill an academic requirement associated with another entity.
-
E.
minimumDistanceRequirement
Indicates that there is a required minimum distance that must be maintained between the related entities.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.