Triple
T26448365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accreditation Council for Pharmacy Education |
E665272
|
entity |
| Predicate | focusCredential |
P6396
|
FINISHED |
| Object | Doctor of Pharmacy degree |
—
|
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 Pharmacy degree | Statement: [Accreditation Council for Pharmacy Education, focusCredential, Doctor of Pharmacy degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusCredential Context triple: [Accreditation Council for Pharmacy Education, focusCredential, Doctor of Pharmacy degree]
-
A.
focusTrait
Indicates that one entity is characterized by, or primarily associated with, a particular trait or attribute of another entity.
-
B.
credentialType
chosen
Indicates the specific kind or category of credential associated with an entity or relationship.
-
C.
focusFeature
Indicates that one entity is the primary or emphasized feature, aspect, or attribute being highlighted or concentrated on in relation to another.
-
D.
focusFactor
Indicates that one entity serves as a measure, component, or determinant of the degree of focus or concentration associated with another entity.
-
E.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 12:03 a.m.