Triple

T19755991
Position Surface form Disambiguated ID Type / Status
Subject Gibsonian theory of perceptual learning E474500 entity
Predicate viewsPerceptionAs P61217 FINISHED
Object relation between organism and environment 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: relation between organism and environment | Statement: [Gibsonian theory of perceptual learning, viewsPerceptionAs, relation between organism and environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewsPerceptionAs
Context triple: [Gibsonian theory of perceptual learning, viewsPerceptionAs, relation between organism and environment]
  • A. viewOnPerception chosen
    Indicates a relationship where one entity expresses or embodies a particular stance, interpretation, or opinion about the nature or process of perception.
  • B. viewsAs
    Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
  • C. viewsBehaviorAs
    Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
  • D. perspectiveOf
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • E. viewsGraceAs
    Indicates that one entity regards or perceives Grace in a particular way or role.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69e5305016e08190b9561a96baecb0b8 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:48 p.m.