Triple

T15791125
Position Surface form Disambiguated ID Type / Status
Subject verum factum principle E382864 entity
Predicate epistemicCriterion P80926 FINISHED
Object to know something is to know how it was made 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: to know something is to know how it was made | Statement: [verum factum principle, epistemicCriterion, to know something is to know how it was made]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: epistemicCriterion
Context triple: [verum factum principle, epistemicCriterion, to know something is to know how it was made]
  • A. epistemicAttitude
    Indicates the type or stance of a subject’s knowledge, belief, or certainty toward a proposition or statement.
  • B. epistemicStatus
    Indicates the degree of certainty, justification, or knowledge an agent has regarding a particular proposition or claim.
  • C. epistemicRole
    Indicates the role an entity plays in a knowledge-related context, such as being a knower, source, or bearer of information or belief.
  • 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. epistemologicalFocus chosen
    Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d819c881908bc43a6124a1bb2e completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e00537bd1c81908d6e832792fd934f completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:48 a.m.