Triple

T29815379
Position Surface form Disambiguated ID Type / Status
Subject Conseil scolaire Viamonde E757088 entity
Predicate regionServedCountrySubdivision P73151 FINISHED
Object Ontario NE NERFINISHED

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 | Statement: [Conseil scolaire Viamonde, regionServedCountrySubdivision, Ontario]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionServedCountrySubdivision
Context triple: [Conseil scolaire Viamonde, regionServedCountrySubdivision, Ontario]
  • A. countrySubdivisionServed chosen
    Indicates a relationship where a service, organization, or entity operates within and provides its offerings to a specific administrative region or subdivision of a country.
  • B. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • C. associatedCountrySubdivision
    Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
  • D. countrySubdivisionType
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • E. regionSub
    Indicates that one region is a subregion or contained part of another, larger region.
  • 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_69f2245701c88190ad42415a0956c4ed completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: April 29, 2026, 5:26 p.m.