Triple

T21168648
Position Surface form Disambiguated ID Type / Status
Subject Theologia didactico-polemica E521635 entity
Predicate epistemicBasis P143137 FINISHED
Object Scripture as norma normans 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: Scripture as norma normans | Statement: [Theologia didactico-polemica, epistemicBasis, Scripture as norma normans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: epistemicBasis
Context triple: [Theologia didactico-polemica, epistemicBasis, Scripture as norma normans]
  • A. epistemicCondition
    Indicates that one situation or proposition holds only under certain knowledge, belief, or informational conditions related to another.
  • B. epistemicAssumption
    Indicates that one entity treats a proposition or state of affairs as an assumed truth or background belief in its reasoning or knowledge state.
  • C. epistemicAttitude
    Indicates the type or stance of a subject’s knowledge, belief, or certainty toward a proposition or statement.
  • D. epistemicStatus
    Indicates the degree of certainty, justification, or knowledge an agent has regarding a particular proposition or claim.
  • E. epistemologicalFocus
    Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
  • F. None of above. chosen

Provenance (4 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72710c73881908d41aedff8984da9 completed April 21, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
PDg Predicate description generation batch_69e5f993240c8190847c0b08e65726c8 completed April 20, 2026, 10:01 a.m.
Created at: April 16, 2026, 3 p.m.