Triple

T5544555
Position Surface form Disambiguated ID Type / Status
Subject Pareto efficiency E145374 entity
Predicate alsoKnownAs P39 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: [Pareto efficiency, alsoKnownAs, Pareto optimum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareto optimum
Context triple: [Pareto efficiency, alsoKnownAs, 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. 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. 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).
  • D. Optimates
    The Optimates were a conservative political faction in the late Roman Republic that championed senatorial authority and traditional aristocratic privileges against popular reformers like Julius Caesar.
  • E. Pareto principle
    The Pareto principle is an economic and management concept stating that roughly 80% of effects come from 20% of causes, often used to prioritize efforts and resources.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fcad7d88190b83bb4ecb3b34bfd completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cec35248190bae940a95e79a586 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.