Triple

T15703459
Position Surface form Disambiguated ID Type / Status
Subject Kativik School Board E380649 entity
Predicate typeOfEducationSystem P13916 FINISHED
Object public education 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: public education | Statement: [Kativik School Board, typeOfEducationSystem, public education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfEducationSystem
Context triple: [Kativik School Board, typeOfEducationSystem, public education]
  • A. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • B. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • C. schoolSystemType chosen
    Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
  • D. hasOwnEducationSystem
    Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
  • E. introducedEducationSystem
    Indicates that an entity established or brought a particular education system into use for another entity or context.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0051d639481909a10614e8f83e659 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:45 a.m.