Triple

T35411211
Position Surface form Disambiguated ID Type / Status
Subject Ontario College Graduate Certificate E1023515 entity
Predicate learningOutcomeEmphasis P45342 FINISHED
Object job-ready skills 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: job-ready skills | Statement: [Ontario College Graduate Certificate, learningOutcomeEmphasis, job-ready skills]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: learningOutcomeEmphasis
Context triple: [Ontario College Graduate Certificate, learningOutcomeEmphasis, job-ready skills]
  • A. skillEmphasis chosen
    Indicates that a particular skill is given special focus, priority, or importance within a context such as a role, task, or curriculum.
  • B. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • C. usesCurriculumEmphasis
    Indicates that one entity applies or adopts a particular curriculum emphasis in its educational or instructional practices.
  • D. emphasizesAbility
    Indicates that one entity highlights, stresses, or draws special attention to the capability or skill of another entity.
  • E. assessmentEmphasis
    Indicates the particular aspect, component, or criterion of a subject that an assessment is primarily focused on or gives greatest weight to.
  • 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_69f76df54bac8190bd0d3b0eb35cda5f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795672b40819087ccce744e044124 completed May 3, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.