Triple

T8825330
Position Surface form Disambiguated ID Type / Status
Subject Post-Keynesian economics E210000 entity
Predicate includesSubschool P14190 FINISHED
Object Kaleckian economics 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: Kaleckian economics | Statement: [Post-Keynesian economics, includesSubschool, Kaleckian economics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesSubschool
Context triple: [Post-Keynesian economics, includesSubschool, Kaleckian economics]
  • A. subschool chosen
    Indicates a hierarchical academic relationship where one school or program is organizationally contained within and subordinate to a larger parent school or institution.
  • B. containsEducationalInstitution
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • C. hasSpecializedSchool
    Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
  • D. isComprehensiveSchool
    Indicates that a school operates as a comprehensive school, providing a broad, non-selective curriculum to students of varying abilities and backgrounds.
  • E. hasSchoolsAccess
    Indicates that one entity has permission or the ability to access schools or school-related resources 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc60332d208190972a8b03fbd760ee completed April 1, 2026, midnight
PD Predicate disambiguation batch_69cc5c21e64c81908490e3b0875dc0d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:46 p.m.