Triple

T10349977
Position Surface form Disambiguated ID Type / Status
Subject University Scholars Programme E243854 entity
Predicate curriculumRigor P93815 FINISHED
Object rigorous 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: rigorous | Statement: [University Scholars Programme, curriculumRigor, rigorous]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: curriculumRigor
Context triple: [University Scholars Programme, curriculumRigor, rigorous]
  • A. curriculumAlignment
    Indicates that one educational element (such as a course, lesson, or resource) is matched or mapped in content and objectives to a specified curriculum or standard.
  • B. curriculumType
    Indicates the classification or category of curriculum associated with an educational program or course.
  • C. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • D. curriculumControlLevel
    Indicates the degree to which an entity has authority or influence over the design, content, or implementation of a curriculum.
  • E. curriculumIncluded
    Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e94796d881909e0b908de63a1aa3 completed April 7, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
PDg Predicate description generation batch_69d4e91ce2008190af252c140370b7f2 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 11:57 a.m.