Triple

T8195468
Position Surface form Disambiguated ID Type / Status
Subject Ralph E. Gomory E191418 entity
Predicate notableWork P4 FINISHED
Object Gomory cuts in integer programming
Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
E718425 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: Gomory cuts in integer programming | Statement: [Ralph E. Gomory, notableWork, Gomory cuts in integer programming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gomory cuts in integer programming
Context triple: [Ralph E. Gomory, notableWork, Gomory cuts in integer programming]
  • A. Gale’s theorem on linear inequalities
    Gale’s theorem on linear inequalities is a fundamental result in convex geometry and linear programming that characterizes the solvability of systems of linear inequalities via an associated alternative system.
  • B. Gale’s theorem on flows with convex costs
    Gale’s theorem on flows with convex costs is a fundamental result in mathematical optimization and network flow theory that characterizes optimal flows in networks when the cost functions on edges are convex rather than linear.
  • C. "Reducibility Among Combinatorial Problems" (1972)
    "Reducibility Among Combinatorial Problems" (1972) is a landmark paper by Richard Karp that introduced NP-completeness to a broad audience by showing polynomial-time reductions among 21 classic combinatorial decision problems.
  • D. The Design and Analysis of Computer Algorithms
    The Design and Analysis of Computer Algorithms is a classic computer science textbook that systematically presents fundamental techniques and theoretical foundations for designing and analyzing efficient algorithms.
  • E. Garey and Johnson: Computers and Intractability
    "Garey and Johnson: Computers and Intractability" is a foundational textbook in theoretical computer science that systematically develops the theory of NP-completeness and computational complexity.
  • 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: Gomory cuts in integer programming
Triple: [Ralph E. Gomory, notableWork, Gomory cuts in integer programming]
Generated description
Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gomory cuts in integer programming
Target entity description: Gomory cuts in integer programming are a class of cutting-plane techniques that iteratively refine linear programming relaxations to find optimal integer solutions to mixed-integer optimization problems.
  • A. Gale’s theorem on linear inequalities
    Gale’s theorem on linear inequalities is a fundamental result in convex geometry and linear programming that characterizes the solvability of systems of linear inequalities via an associated alternative system.
  • B. Gale’s theorem on flows with convex costs
    Gale’s theorem on flows with convex costs is a fundamental result in mathematical optimization and network flow theory that characterizes optimal flows in networks when the cost functions on edges are convex rather than linear.
  • C. "Reducibility Among Combinatorial Problems" (1972)
    "Reducibility Among Combinatorial Problems" (1972) is a landmark paper by Richard Karp that introduced NP-completeness to a broad audience by showing polynomial-time reductions among 21 classic combinatorial decision problems.
  • D. The Design and Analysis of Computer Algorithms
    The Design and Analysis of Computer Algorithms is a classic computer science textbook that systematically presents fundamental techniques and theoretical foundations for designing and analyzing efficient algorithms.
  • E. Garey and Johnson: Computers and Intractability
    "Garey and Johnson: Computers and Intractability" is a foundational textbook in theoretical computer science that systematically develops the theory of NP-completeness and computational complexity.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c20fbd08190b9966e3c967e9c71 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedaab8848190877fbe2de9b83957 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b706f08190993f4a75eac5f49c completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:42 p.m.