Triple

T23281202
Position Surface form Disambiguated ID Type / Status
Subject Rice's theorem E588867 entity
Predicate relatedTo P37 FINISHED
Object Church–Turing thesis NE NERFINISHED

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: Church–Turing thesis | Statement: [Rice's theorem, relatedTo, Church–Turing thesis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Church–Turing thesis
Context triple: [Rice's theorem, relatedTo, Church–Turing thesis]
  • A. Church–Turing thesis chosen
    The Church–Turing thesis is a foundational principle in computability theory stating that any function that can be effectively computed by an algorithm can be computed by a Turing machine (or equivalently by other formal models of computation).
  • B. Hartmanis–Stearns theorem
    The Hartmanis–Stearns theorem is a foundational result in computational complexity theory that formally established time complexity as a central measure of computational resources for Turing machines.
  • C. Rice's theorem
    Rice's theorem is a fundamental result in computability theory stating that any non-trivial semantic property of the language recognized by a Turing machine is undecidable.
  • D. Turing completeness
    Turing completeness is a property of a computational system indicating that it can simulate any Turing machine and thus perform any computation that is algorithmically possible, given enough time and memory.
  • E. Turing machine
    A Turing machine is an abstract computational model that manipulates symbols on an infinite tape according to a set of rules, providing a formal foundation for the concept of algorithm and computability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19642b46481909fd455acd2155792 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:57 p.m.