Triple

T15889251
Position Surface form Disambiguated ID Type / Status
Subject Böhm–Jacopini theorem E385272 entity
Predicate relatedConcept P37 FINISHED
Object 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.
E1183377 NE FINISHED

How this triple was built (4 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: Turing completeness | Statement: [Böhm–Jacopini theorem, relatedConcept, Turing completeness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turing completeness
Context triple: [Böhm–Jacopini theorem, relatedConcept, Turing completeness]
  • A. 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.
  • B. Church–Turing thesis
    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).
  • C. Turing reducibility
    Turing reducibility is a central computability-theoretic notion that compares the relative computational difficulty of decision problems by allowing one problem to be solved using an oracle for another.
  • D. Halting problem
    The halting problem is a fundamental decision problem in computability theory that asks whether a given program will eventually stop running or continue to run forever, and is famously proven to be undecidable.
  • E. Turing degrees
    Turing degrees are an abstract classification of sets of natural numbers or decision problems according to their relative level of algorithmic unsolvability or computational complexity under Turing reducibility.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Turing completeness
Triple: [Böhm–Jacopini theorem, relatedConcept, Turing completeness]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Turing completeness
Target entity description: 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.
  • A. 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.
  • B. Church–Turing thesis
    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).
  • C. Turing reducibility
    Turing reducibility is a central computability-theoretic notion that compares the relative computational difficulty of decision problems by allowing one problem to be solved using an oracle for another.
  • D. Halting problem
    The halting problem is a fundamental decision problem in computability theory that asks whether a given program will eventually stop running or continue to run forever, and is famously proven to be undecidable.
  • E. Turing degrees
    Turing degrees are an abstract classification of sets of natural numbers or decision problems according to their relative level of algorithmic unsolvability or computational complexity under Turing reducibility.
  • F. None of above. chosen

Provenance (5 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04598e0819094274868941195b9 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1570324819086dfd14bab516811 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1eedaf481908d70e3517fbd5492 completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.