Triple

T21408493
Position Surface form Disambiguated ID Type / Status
Subject College of Pharmacy E528103 entity
Predicate regulatesAdmissionBy P58 FINISHED
Object professional admission standards 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: professional admission standards | Statement: [College of Pharmacy, regulatesAdmissionBy, professional admission standards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatesAdmissionBy
Context triple: [College of Pharmacy, regulatesAdmissionBy, professional admission standards]
  • A. controlsAdmissionsFor
    Indicates that one entity has authority or responsibility over managing and deciding admissions for another entity.
  • B. includesWithAdmission
    Indicates that one entity contains or provides access to another entity, with the latter being available as part of the admission or entry fee.
  • C. hasAdmission
    Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
  • D. admissionAct
    Indicates the act or event of formally allowing or accepting someone or something into a place, group, institution, or state.
  • E. admissionPolicy chosen
    Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1b316a48190ad43394dc35a54e0 completed April 22, 2026, 11:32 a.m.
PD Predicate disambiguation batch_69e61633f8208190a2a849457c4e4198 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:33 p.m.