Triple

T26448384
Position Surface form Disambiguated ID Type / Status
Subject Accreditation Council for Pharmacy Education E665272 entity
Predicate standardFocus P77291 FINISHED
Object experiential education 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: experiential education in PharmD programs | Statement: [Accreditation Council for Pharmacy Education, standardFocus, experiential education in PharmD programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardFocus
Context triple: [Accreditation Council for Pharmacy Education, standardFocus, experiential education 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_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 12:03 a.m.