Triple

T12742495
Position Surface form Disambiguated ID Type / Status
Subject Agnosticism E304521 entity
Predicate normativelyEmphasizes P106668 FINISHED
Object intellectual honesty about limits of evidence 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: intellectual honesty about limits of evidence | Statement: [Agnosticism, normativelyEmphasizes, intellectual honesty about limits of evidence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: normativelyEmphasizes
Context triple: [Agnosticism, normativelyEmphasizes, intellectual honesty about limits of evidence]
  • A. normativelyIncludes
    Indicates that one norm or rule encompasses, subsumes, or otherwise includes another within its prescribed scope or requirements.
  • B. normativeFor
    Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
  • C. levelOfNorm
    Indicates the degree or extent to which something conforms to a specified norm, standard, or expected behavior.
  • D. normativeGoal
    Indicates that one entity is a desired or prescribed objective, standard, or end state that another entity ought to pursue or realize.
  • E. normativeClaim
    Indicates that one entity makes or embodies a value-laden judgment about how something ought to be, what should be done, or what is right or wrong regarding another entity or situation.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96406e97c8190b79081039847115c completed April 10, 2026, 8:56 p.m.
PDg Predicate description generation batch_69d96d87078c819083ea724238992204 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:26 p.m.