Triple
T26448383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accreditation Council for Pharmacy Education |
E665272
|
entity |
| Predicate | standardFocus |
P77291
|
FINISHED |
| Object | student services in PharmD programs |
—
|
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: student services in PharmD programs | Statement: [Accreditation Council for Pharmacy Education, standardFocus, student services in PharmD programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardFocus Context triple: [Accreditation Council for Pharmacy Education, standardFocus, student services in PharmD programs]
-
A.
canonicalFocus
Indicates that one entity is the primary or most representative focus or point of attention in relation to another entity.
-
B.
stateOfFocus
chosen
Indicates the particular subject, area, or activity that an entity is currently concentrating attention or effort on.
-
C.
formerFocus
Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
-
D.
primaryTextualFocus
Indicates that one entity is the main subject or central topic emphasized within the text of 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_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 12:03 a.m.