Triple

T26661998
Position Surface form Disambiguated ID Type / Status
Subject St. Joseph’s Catholic High School E666672 entity
Predicate countrySubsidy P63506 FINISHED
Object Ontario public funding for Catholic schools 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: Ontario public funding for Catholic schools | Statement: [St. Joseph’s Catholic High School, countrySubsidy, Ontario public funding for Catholic schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countrySubsidy
Context triple: [St. Joseph’s Catholic High School, countrySubsidy, Ontario public funding for Catholic schools]
  • A. typeOfSubsidy
    Indicates that one entity is a specific kind or category of subsidy in relation to another entity.
  • B. providedEconomicAidTo
    Indicates that one entity has given financial or material support to another entity, typically to assist with economic needs or development.
  • C. subsidyAttachment chosen
    Indicates that a subsidy is linked or applied to a particular entity, object, or transaction.
  • D. stateIncentives
    Indicates that a state government provides benefits, subsidies, or other inducements to encourage a particular action, behavior, or investment.
  • E. countryGridContribution
    Indicates the extent to which a country supplies energy or capacity to an electrical power grid.
  • 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_69ee9cf8c7188190b9b00270a8a89164 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 27, 2026, 2:37 a.m.