Triple
T32611219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Literacy Test |
E833655
|
entity |
| Predicate | gradingMethod |
P750
|
FINISHED |
| Object | standardized scoring rubric |
—
|
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: standardized scoring rubric | Statement: [Ontario Secondary School Literacy Test, gradingMethod, standardized scoring rubric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingMethod Context triple: [Ontario Secondary School Literacy Test, gradingMethod, standardized scoring rubric]
-
A.
gradedBy
Indicates that one entity evaluates and assigns a grade or score to another entity.
-
B.
grading
Indicates that one entity is evaluating, scoring, or assigning a quality level to another entity based on specific criteria.
-
C.
gradingPolicy
Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
-
D.
gradingTypes
Indicates the types or categories of grading or evaluation methods associated with an entity.
-
E.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:06 a.m.