Triple

T33761758
Position Surface form Disambiguated ID Type / Status
Subject Skolem arithmetic E865123 entity
Predicate decidabilityReason P23142 FINISHED
Object restricted language with multiplication only 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: restricted language with multiplication only | Statement: [Skolem arithmetic, decidabilityReason, restricted language with multiplication only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: decidabilityReason
Context triple: [Skolem arithmetic, decidabilityReason, restricted language with multiplication only]
  • A. decidability
    Indicates whether a given problem, property, or statement can be algorithmically determined to be true or false for all possible inputs.
  • B. decisionBasis chosen
    Indicates the underlying reason, criterion, or rationale on which a decision is made.
  • C. reasoningType
    Indicates the specific kind or mode of reasoning applied in deriving a conclusion or making an inference between entities.
  • D. deciderFor
    Indicates that one entity has the authority or responsibility to make decisions on behalf of, or determining outcomes for, another entity or situation.
  • E. decisionLanguage
    Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
  • 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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.