Triple
T21088257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reducibility Among Combinatorial Problems |
E519559
|
entity |
| Predicate | establishesNPCompletenessOf |
P142028
|
FINISHED |
| Object | Job Sequencing problem (NP-complete variant) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Job Sequencing problem (NP-complete variant) | Statement: [Reducibility Among Combinatorial Problems, establishesNPCompletenessOf, Job Sequencing problem (NP-complete variant)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Job Sequencing problem (NP-complete variant) Context triple: [Reducibility Among Combinatorial Problems, establishesNPCompletenessOf, Job Sequencing problem (NP-complete variant)]
-
A.
Combinatorial Optimization: Algorithms and Complexity
Combinatorial Optimization: Algorithms and Complexity is a foundational textbook that systematically develops the theory and algorithms of combinatorial optimization, emphasizing computational complexity and algorithmic efficiency.
-
B.
Scarf algorithm
The Scarf algorithm is a combinatorial method in mathematical economics and game theory used to compute fixed points and prove the existence of equilibria in markets and games.
-
C.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
-
D.
Job Entry Subsystem 2
Job Entry Subsystem 2 (JES2) is an IBM mainframe component of the z/OS operating system that manages the input, scheduling, and output of batch jobs and spooled data.
-
E.
Happy Ending problem
The Happy Ending problem is a famous combinatorial geometry question that investigates the minimum number of points in general position in the plane needed to guarantee the existence of a convex polygon with a given number of vertices.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Job Sequencing problem (NP-complete variant) Target entity description: The Job Sequencing problem (NP-complete variant) is a classic scheduling decision problem, shown NP-complete by Karp, in which one must determine whether there exists an ordering of jobs meeting given constraints such as deadlines or resource limits.
-
A.
Combinatorial Optimization: Algorithms and Complexity
Combinatorial Optimization: Algorithms and Complexity is a foundational textbook that systematically develops the theory and algorithms of combinatorial optimization, emphasizing computational complexity and algorithmic efficiency.
-
B.
Scarf algorithm
The Scarf algorithm is a combinatorial method in mathematical economics and game theory used to compute fixed points and prove the existence of equilibria in markets and games.
-
C.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
-
D.
Job Entry Subsystem 2
Job Entry Subsystem 2 (JES2) is an IBM mainframe component of the z/OS operating system that manages the input, scheduling, and output of batch jobs and spooled data.
-
E.
Happy Ending problem
The Happy Ending problem is a famous combinatorial geometry question that investigates the minimum number of points in general position in the plane needed to guarantee the existence of a convex polygon with a given number of vertices.
- F. None of above. chosen
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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094cebe08190bb10f51a45c244ec |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.