Triple
T24273884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Moines University |
E605352
|
entity |
| Predicate | accreditsProgramType |
P59534
|
FINISHED |
| Object | health professions education |
—
|
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: health professions education | Statement: [Des Moines University, accreditsProgramType, health professions education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accreditsProgramType Context triple: [Des Moines University, accreditsProgramType, health professions education]
-
A.
accreditsProgrammeType
chosen
Indicates that an authority formally recognizes or approves a specific type or category of programme.
-
B.
providesAccreditationFor
Indicates that one entity formally grants or recognizes official accreditation or certification status for another entity.
-
C.
accreditsThrough
Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
-
D.
hasAccreditationType
Indicates that an entity holds or is associated with a specific category or kind of accreditation.
-
E.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d5da53c8190810f4e7777d112ba |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.