Triple

T11487667
Position Surface form Disambiguated ID Type / Status
Subject CASE E272321 entity
Predicate hasCurriculumScope P99759 FINISHED
Object broad, interdisciplinary 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: broad, interdisciplinary | Statement: [CASE, hasCurriculumScope, broad, interdisciplinary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCurriculumScope
Context triple: [CASE, hasCurriculumScope, broad, interdisciplinary]
  • A. hasCurriculumArea
    Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
  • B. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • C. hasCurriculumComponent
    Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
  • D. hasCurricularStructure
    Indicates that an educational program or course is organized according to a defined curricular framework or structure.
  • E. hasOpenCurriculum
    Indicates that an educational program or institution allows students significant flexibility to choose courses and design their own course of study rather than following a fixed, prescribed curriculum.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69d808736c5c8190899b5b3b2e797f65 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d822ef46988190a1c360da4ee14fef completed April 9, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:36 p.m.