Triple

T1266633
Position Surface form Disambiguated ID Type / Status
Subject Kalai–Smorodinsky bargaining solution E15614 entity
Predicate characterizedBy P662 FINISHED
Object Pareto optimality E145374 NE FINISHED

How this triple was built (2 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: Pareto optimality | Statement: [Kalai–Smorodinsky bargaining solution, characterizedBy, Pareto optimality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pareto optimality
Context triple: [Kalai–Smorodinsky bargaining solution, characterizedBy, Pareto optimality]
  • A. Pareto efficiency chosen
    Pareto efficiency is an economic concept describing an allocation of resources where no individual can be made better off without making someone else worse off.
  • B. Karush–Kuhn–Tucker conditions
    The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
  • C. On Equilibrium
    On Equilibrium is a philosophical work by John Ralston Saul that explores the importance of balancing key human qualities—such as reason, ethics, and common sense—to create a more humane and democratic society.
  • D. expected utility theory (with John von Neumann)
    Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
  • E. Nash bargaining solution
    The Nash bargaining solution is a foundational concept in game theory that defines a fair and efficient outcome for two-party bargaining problems based on axioms of rationality and symmetry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c037f14c8190baa42f70f8846583 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f1d1008190bd86948eb1b35b2d completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.