Triple

T9685175
Position Surface form Disambiguated ID Type / Status
Subject Kyoto University Hospital E234387 entity
Predicate hasEducationalRoleFor P3295 FINISHED
Object medical students 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: medical students | Statement: [Kyoto University Hospital, hasEducationalRoleFor, medical students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalRoleFor
Context triple: [Kyoto University Hospital, hasEducationalRoleFor, medical students]
  • A. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • B. hasTeachingRole chosen
    Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
  • C. hasEducationalDesignation
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • D. hasTeachingAuthority
    Indicates that one entity possesses the recognized power or right to teach, instruct, or provide formal education to another entity or within a specific context.
  • E. hasEducationalWork
    Indicates that one entity is the creator, contributor, or subject of an educational work (such as a textbook, course, or instructional material) 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:16 p.m.