Triple

T5984074
Position Surface form Disambiguated ID Type / Status
Subject KSL E133183 entity
Predicate hasEducationDomain P67734 FINISHED
Object schools for the Deaf in South Korea 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: schools for the Deaf in South Korea | Statement: [KSL, hasEducationDomain, schools for the Deaf in South Korea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationDomain
Context triple: [KSL, hasEducationDomain, schools for the Deaf in South Korea]
  • A. hasEducationalProfile
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • B. hasEducationServices
    Indicates that one entity provides or offers educational services to another entity or within a particular context.
  • C. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • D. containsEducationalInstitution
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • E. hasEducationalLink
    Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
  • F. None of above. chosen

Provenance (4 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6c4f2481909cdcf931331b3595 completed March 22, 2026, 8 p.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04a663a4481908983048c69cba6b6 completed March 22, 2026, 8 p.m.
Created at: March 22, 2026, 4:04 p.m.