Triple

T19689428
Position Surface form Disambiguated ID Type / Status
Subject Chancellor of the California Community Colleges E472794 entity
Predicate levelOfEducationSystem P21535 FINISHED
Object tertiary 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: tertiary education | Statement: [Chancellor of the California Community Colleges, levelOfEducationSystem, tertiary education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelOfEducationSystem
Context triple: [Chancellor of the California Community Colleges, levelOfEducationSystem, tertiary 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. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • C. governsLevelOfEducation
    Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
  • D. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • E. educationLevelCharacteristic chosen
    Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
PD Predicate disambiguation batch_69e53039ea808190a9106a53f564ab92 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:45 p.m.