Triple

T15791408
Position Surface form Disambiguated ID Type / Status
Subject Manual of Political Economy E382869 entity
Predicate hasConcept P531 FINISHED
Object Pareto optimum 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 optimum | Statement: [Manual of Political Economy, hasConcept, Pareto optimum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareto optimum
Context triple: [Manual of Political Economy, hasConcept, Pareto optimum]
  • 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. Pareto improvement
    A Pareto improvement is a change in allocation that makes at least one individual better off without making anyone else worse off.
  • C. Karush–Kuhn–Tucker conditions
    The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
  • D. Nash equilibrium
    A Nash equilibrium is a game-theoretic solution concept where no player can improve their payoff by unilaterally changing their strategy, given the strategies of all other players.
  • E. Pareto
    Pareto is an Italian surname most famously associated with economist and sociologist Vilfredo Pareto, whose work led to the Pareto principle (the 80/20 rule).
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d819c881908bc43a6124a1bb2e completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb036ee7c8190a8b8da79589ebec0 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:48 a.m.