Triple

T13264276
Position Surface form Disambiguated ID Type / Status
Subject Jonang school E315874 entity
Predicate hasViewOnConventionalReality P19250 FINISHED
Object conventional phenomena are empty of self-nature 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: conventional phenomena are empty of self-nature | Statement: [Jonang school, hasViewOnConventionalReality, conventional phenomena are empty of self-nature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasViewOnConventionalReality
Context triple: [Jonang school, hasViewOnConventionalReality, conventional phenomena are empty of self-nature]
  • A. viewOnReality chosen
    Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
  • B. hasViewThrough
    Indicates that one entity can be seen or visually perceived through another entity acting as an intermediate medium or opening.
  • C. realityStatus
    Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
  • D. hasViewOnWorld
    Indicates that an entity holds a particular perspective, opinion, or interpretation regarding the world or reality as a whole.
  • E. hasVisionOf
    Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:25 p.m.