Triple

T19467866
Position Surface form Disambiguated ID Type / Status
Subject Kanabhuk E487045 entity
Predicate epistemologyFocus P80926 FINISHED
Object perception and inference 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: perception and inference | Statement: [Kanabhuk, epistemologyFocus, perception and inference]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: epistemologyFocus
Context triple: [Kanabhuk, epistemologyFocus, perception and inference]
  • A. epistemologicalFocus chosen
    Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
  • B. typeOfEpistemology
    Indicates that one epistemological position, theory, or approach is classified as a specific kind or category within the broader domain of epistemology.
  • C. philosophyScope
    Indicates the conceptual domain or range of topics, questions, or issues that a particular philosophical view, theory, or inquiry is concerned with.
  • D. epistemicPriority
    Indicates that one piece of information, belief, or source is treated as more authoritative or reliable than another in determining what is accepted as true.
  • E. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e2aee081908330a5665fa60482 completed April 20, 2026, 2:10 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:39 p.m.