Triple
T18893883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Public Health |
E462160
|
entity |
| Predicate | higherAcademicLevelThan |
P46416
|
FINISHED |
| Object | Master of Public Health |
—
|
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: Master of Public Health | Statement: [Doctor of Public Health, higherAcademicLevelThan, Master of Public Health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherAcademicLevelThan Context triple: [Doctor of Public Health, higherAcademicLevelThan, Master of Public Health]
-
A.
hasHigherDegree
chosen
Indicates that one entity possesses an academic degree that is of a higher level than the academic degree held by another entity.
-
B.
upperGrade
Indicates that one entity is in a higher grade level than another entity.
-
C.
hasHigherEducationType
Indicates that one entity has a specified type or category of higher education associated with it.
-
D.
includesHigherDegrees
Indicates that one entity’s set of academic degrees contains at least one degree that is at a higher level than those in another entity’s set.
-
E.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47dfa8c8190940858a010129d13 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.