Triple
T9993625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Diploma |
E196946
|
entity |
| Predicate | gradingScaleIncludes |
P48042
|
FINISHED |
| Object | percentage grades |
—
|
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: percentage grades | Statement: [Ontario Secondary School Diploma, gradingScaleIncludes, percentage grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingScaleIncludes Context triple: [Ontario Secondary School Diploma, gradingScaleIncludes, percentage grades]
-
A.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
B.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
C.
gradingSystem
chosen
Indicates the method or criteria by which performance, quality, or achievement is evaluated and assigned a grade or score.
-
D.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
-
E.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
- 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.