Triple

T14814347
Position Surface form Disambiguated ID Type / Status
Subject Seongbuk District E348269 entity
Predicate hasEducationalCharacteristic P45956 FINISHED
Object High student population 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: High student population | Statement: [Seongbuk District, hasEducationalCharacteristic, High student population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalCharacteristic
Context triple: [Seongbuk District, hasEducationalCharacteristic, High student population]
  • A. educationLevelCharacteristic
    Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
  • B. hasEducationalProfile chosen
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • C. hasEducationalDimension
    Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
  • D. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • E. educationSystemCharacteristic
    Indicates a characteristic, feature, or attribute that describes an education system.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69de8c0ef8a4819092d84478b1f56db1 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:48 a.m.