Triple
T31151314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Marcellinus Secondary School |
E794078
|
entity |
| Predicate | hasDiplomaGranted |
P45182
|
FINISHED |
| Object | Ontario Secondary School Diploma |
—
|
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: Ontario Secondary School Diploma | Statement: [St. Marcellinus Secondary School, hasDiplomaGranted, Ontario Secondary School Diploma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiplomaGranted Context triple: [St. Marcellinus Secondary School, hasDiplomaGranted, Ontario Secondary School Diploma]
-
A.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
B.
haveDegree
Indicates that an entity possesses or has obtained a specific academic or professional degree.
-
C.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
D.
hasEducationalAchievement
Indicates that an entity has attained a specific level, degree, or form of formal educational accomplishment.
-
E.
degreeGrantedBy
chosen
Indicates that a specific academic degree was officially conferred by a particular granting institution.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 29, 2026, 9:06 p.m.