Triple

T32611294
Position Surface form Disambiguated ID Type / Status
Subject Ontario Academic Credit E833657 entity
Predicate usedInGrade P44491 FINISHED
Object Grade 12 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: Grade 12 | Statement: [Ontario Academic Credit, usedInGrade, Grade 12]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInGrade
Context triple: [Ontario Academic Credit, usedInGrade, Grade 12]
  • A. gradeAlsoUsedFor
    Indicates that a grade or rating assigned in one context is also applied or valid for another related context.
  • B. gradeUsage
    Indicates how a particular grade or rating is applied or used in a given context.
  • C. isAtGrade chosen
    Indicates that an entity is positioned at or corresponds to a specific grade or level within an ordered scale or classification.
  • D. introducedAsGrade
    Indicates that one entity was presented or designated to another specifically in the role or capacity of a particular grade or level.
  • E. areUsedIn
    Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
  • 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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fdf5d05cc481909ec9e1b1f0784279 completed May 8, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69fdf0cdd6948190838864ab3120dfa6 completed May 8, 2026, 2:18 p.m.
Created at: May 1, 2026, 1:06 a.m.