Triple

T15688637
Position Surface form Disambiguated ID Type / Status
Subject constructivism (psychology) E380265 entity
Predicate viewOnLearningEnvironment P4078 FINISHED
Object learning environments should be rich and authentic 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 environments should be rich and authentic | Statement: [constructivism (psychology), viewOnLearningEnvironment, learning environments should be rich and authentic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnLearningEnvironment
Context triple: [constructivism (psychology), viewOnLearningEnvironment, learning environments should be rich and authentic]
  • A. viewsLearnerAs
    Indicates that one entity perceives, regards, or treats another entity specifically in the role of a learner.
  • B. viewOnEducation chosen
    Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
  • C. viewOnKnowledge
    Indicates the perspective, stance, or opinion one entity holds regarding another entity’s knowledge or understanding.
  • D. viewOnReality
    Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
  • E. environmentType
    Indicates the kind or category of environment associated with an entity or situation.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69deda8c856c8190882330114f9a1a5f completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:44 a.m.