Triple

T21815246
Position Surface form Disambiguated ID Type / Status
Subject North Korean education system E538588 entity
Predicate higherEducationAccess P61327 FINISHED
Object limited and competitive 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: limited and competitive | Statement: [North Korean education system, higherEducationAccess, limited and competitive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: higherEducationAccess
Context triple: [North Korean education system, higherEducationAccess, limited and competitive]
  • A. hasHigherEducationAccess chosen
    Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
  • B. higherEducationHub
    Indicates a relationship where a place or entity functions as a central location or focal point for higher education activities, institutions, or services.
  • C. secondaryEducationAccess
    Indicates that an entity has the opportunity, right, or ability to attend and participate in secondary-level education.
  • D. hasHigherEducationType
    Indicates that one entity has a specified type or category of higher education associated with it.
  • E. higherEducationResponsibility
    Indicates that an entity has responsibility for overseeing, managing, or providing higher education for another entity or within a given 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc99bbc8190bf074930f361af7d completed April 28, 2026, 9:24 a.m.
PD Predicate disambiguation batch_69e6be815a108190be81d7c987d0c0d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:54 p.m.