Triple

T31646836
Position Surface form Disambiguated ID Type / Status
Subject System F E807603 entity
Predicate decidabilityOfTyping P91856 FINISHED
Object undecidable in general 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: undecidable in general | Statement: [System F, decidabilityOfTyping, undecidable in general]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: decidabilityOfTyping
Context triple: [System F, decidabilityOfTyping, undecidable in general]
  • A. decidability chosen
    Indicates whether a given problem, property, or statement can be algorithmically determined to be true or false for all possible inputs.
  • B. turingComplete
    Indicates that a system or language is capable of performing any computation that a universal Turing machine can, given enough time and memory.
  • C. provedUndecidableUsing
    Indicates that the undecidability of one problem, theory, or statement was established by applying or reducing it to another specific method, result, or formal system.
  • D. compilerType
    Indicates the specific kind or category of compiler associated with or used by an entity.
  • E. hasUndecidableStatement
    Indicates that a formal system or theory possesses at least one statement whose truth or falsity cannot be determined within that system using its axioms and rules of inference.
  • 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_69f348d9ce58819093ea2da83cbeeec1 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a91f65548190b598917dada0c2c0 completed May 3, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69f6a757c6e081908e37631e5d8d246b completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:51 p.m.