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.