Triple

T26769147
Position Surface form Disambiguated ID Type / Status
Subject Ontario Universities' Application Centre E675030 entity
Predicate processesApplicationsFor P162176 FINISHED
Object medical school 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: medical school programs | Statement: [Ontario Universities' Application Centre, processesApplicationsFor, medical school programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: processesApplicationsFor
Context triple: [Ontario Universities' Application Centre, processesApplicationsFor, medical school programs]
  • A. applicationProcessIncludes
    Indicates that an application process contains or encompasses a specific step, component, or sub-process as part of its overall workflow.
  • B. handlesApplicationsFor chosen
    Indicates that one entity is responsible for receiving, processing, or managing applications on behalf of another entity.
  • C. applicationProcessedBy
    Indicates that an application has been handled or dealt with by a particular agent or system.
  • D. applicantIn
    Indicates that a person or entity is serving as an applicant within a particular context, process, or organization.
  • E. hasGrantApplicationProcess
    Indicates that an entity has a defined procedure or set of steps for submitting and processing grant applications.
  • 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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641dc8ff48190ab575d855616580c completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 4:01 a.m.