Triple

T31914504
Position Surface form Disambiguated ID Type / Status
Subject Wagner Plan for the Practical Liberal Arts E814788 entity
Predicate curricularModel P784 FINISHED
Object learning community model 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: learning community model | Statement: [Wagner Plan for the Practical Liberal Arts, curricularModel, learning community model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: curricularModel
Context triple: [Wagner Plan for the Practical Liberal Arts, curricularModel, learning community model]
  • A. 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.
  • B. curriculumType
    Indicates the classification or category of curriculum associated with an educational program or course.
  • C. hasCurricularStructure
    Indicates that an educational program or course is organized according to a defined curricular framework or structure.
  • D. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • E. hasCurriculumBasis
    Indicates that one entity’s curriculum is founded on, derived from, or guided by another entity as its basis.
  • 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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b1ec3478819081fd276da3bdceb5 completed May 3, 2026, 2:24 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: May 1, 2026, 12:02 a.m.