Triple
T24169431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedarville University |
E599084
|
entity |
| Predicate | hasSpecialAccreditation |
P67515
|
FINISHED |
| Object | Accreditation Council for Pharmacy Education |
—
|
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: Accreditation Council for Pharmacy Education | Statement: [Cedarville University, hasSpecialAccreditation, Accreditation Council for Pharmacy Education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialAccreditation Context triple: [Cedarville University, hasSpecialAccreditation, Accreditation Council for Pharmacy Education]
-
A.
hasAccreditationType
Indicates that an entity holds or is associated with a specific category or kind of accreditation.
-
B.
isAccredited
chosen
Indicates that an entity has been officially recognized or certified as meeting established standards by an authorized accrediting body.
-
C.
hasAccreditationLevel
Indicates the specific accreditation status or tier that has been granted to an entity by an accrediting body.
-
D.
hasSpecialMerit
Indicates that an entity possesses exceptional or noteworthy qualities that distinguish it from others in a positive way.
-
E.
wasAccreditedIn
Indicates that an entity received official accreditation or certification in a specified year, date, or time period.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.