Triple
T15818553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Ontario School of Medicine |
E383540
|
entity |
| Predicate | primaryDegreeGranted |
P45182
|
FINISHED |
| Object | Doctor of Medicine |
—
|
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: Doctor of Medicine | Statement: [Northern Ontario School of Medicine, primaryDegreeGranted, Doctor of Medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDegreeGranted Context triple: [Northern Ontario School of Medicine, primaryDegreeGranted, Doctor of Medicine]
-
A.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
degreeGrantedBy
chosen
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
C.
hasHighestDegree
Indicates that one entity possesses the highest academic degree attained by another entity.
-
D.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
E.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a552008190863343c9d41ebf3f |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.