Triple

T941983
Position Surface form Disambiguated ID Type / Status
Subject Vaisheshika E20324 entity
Predicate epistemology P3629 FINISHED
Object accepts perception as pramana 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: accepts perception as pramana | Statement: [Vaisheshika, epistemology, accepts perception as pramana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: epistemology
Context triple: [Vaisheshika, epistemology, accepts perception as pramana]
  • A. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • B. epistemicStatus
    Indicates the degree of certainty, justification, or knowledge an agent has regarding a particular proposition or claim.
  • C. philosophicalConcept
    Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
  • D. philosophicalTheme
    Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
  • E. philosophicalTradition chosen
    Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29c68f48190aecad10e351a99de completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.