Triple

T23468843
Position Surface form Disambiguated ID Type / Status
Subject Ekiti State University Teaching Hospital E569169 entity
Predicate trainingInstitutionFor P40765 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: [Ekiti State University Teaching Hospital, trainingInstitutionFor, medical students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingInstitutionFor
Context triple: [Ekiti State University Teaching Hospital, trainingInstitutionFor, medical students]
  • A. trainingInstitution
    Indicates that one entity serves as the institution or organization where another entity receives training or education.
  • B. schoolOf
    Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
  • C. servesInstitution
    Indicates that one entity provides services or functions in support of a particular institution.
  • D. providesTrainingFor chosen
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • E. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6feb5688190ad4ce42fc9590adb completed April 29, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69f06201d33481909b5fd7b92d03e658 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 5:54 p.m.