Triple

T7666902
Position Surface form Disambiguated ID Type / Status
Subject Complexity Theory E173644 entity
Predicate defines P264 FINISHED
Object complexity class EXPTIME
EXPTIME is a computational complexity class consisting of decision problems that can be solved by a deterministic Turing machine in exponential time with respect to the size of the input.
E679188 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: complexity class EXPTIME | Statement: [Complexity Theory, defines, complexity class EXPTIME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: complexity class EXPTIME
Context triple: [Complexity Theory, defines, complexity class EXPTIME]
  • A. NP-completeness
    NP-completeness is a central concept in computational complexity theory that classifies decision problems believed to be among the hardest in NP, such that a polynomial-time solution to any one of them would yield polynomial-time solutions to all problems in NP.
  • B. Cook–Levin theorem
    The Cook–Levin theorem is a foundational result in computational complexity theory that established the Boolean satisfiability problem (SAT) as the first NP-complete problem, launching the theory of NP-completeness.
  • C. Complexity Theory
    Complexity Theory is a branch of theoretical computer science that studies the resources, such as time and space, required to solve computational problems and classifies these problems based on their inherent difficulty.
  • D. MIP equals NEXP
    MIP equals NEXP is a landmark complexity-theoretic result showing that problems solvable by multi-prover interactive proofs exactly match those solvable in nondeterministic exponential time.
  • E. Blum–Shub–Smale model of computation
    The Blum–Shub–Smale model of computation is a theoretical framework for analyzing algorithms over real numbers, extending classical complexity theory beyond discrete computation.
  • 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: complexity class EXPTIME
Triple: [Complexity Theory, defines, complexity class EXPTIME]
Generated description
EXPTIME is a computational complexity class consisting of decision problems that can be solved by a deterministic Turing machine in exponential time with respect to the size of the input.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: complexity class EXPTIME
Target entity description: EXPTIME is a computational complexity class consisting of decision problems that can be solved by a deterministic Turing machine in exponential time with respect to the size of the input.
  • A. NP-completeness
    NP-completeness is a central concept in computational complexity theory that classifies decision problems believed to be among the hardest in NP, such that a polynomial-time solution to any one of them would yield polynomial-time solutions to all problems in NP.
  • B. Cook–Levin theorem
    The Cook–Levin theorem is a foundational result in computational complexity theory that established the Boolean satisfiability problem (SAT) as the first NP-complete problem, launching the theory of NP-completeness.
  • C. Complexity Theory
    Complexity Theory is a branch of theoretical computer science that studies the resources, such as time and space, required to solve computational problems and classifies these problems based on their inherent difficulty.
  • D. MIP equals NEXP
    MIP equals NEXP is a landmark complexity-theoretic result showing that problems solvable by multi-prover interactive proofs exactly match those solvable in nondeterministic exponential time.
  • E. Blum–Shub–Smale model of computation
    The Blum–Shub–Smale model of computation is a theoretical framework for analyzing algorithms over real numbers, extending classical complexity theory beyond discrete computation.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89c037d188190ace1c5e80a43aba0 completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89c698f2c8190b5d2717835bd1d82 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 4 p.m.