Triple

T2035209
Position Surface form Disambiguated ID Type / Status
Subject Duke-NUS Medical School E44609 entity
Predicate curriculumModel P784 FINISHED
Object Duke University School of Medicine curriculum 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: Duke University School of Medicine curriculum | Statement: [Duke-NUS Medical School, curriculumModel, Duke University School of Medicine curriculum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: curriculumModel
Context triple: [Duke-NUS Medical School, curriculumModel, Duke University School of Medicine curriculum]
  • A. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • B. educationalModel chosen
    Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
  • C. courseStructure
    Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
  • D. offersCurriculum
    Indicates that one entity provides or makes available a specific curriculum to another entity.
  • E. courseShape
    Indicates the geometric layout or configuration that defines the path or outline of a course.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb7a8125881909c0cb58b777c1faa completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.