Triple

T15791414
Position Surface form Disambiguated ID Type / Status
Subject Manual of Political Economy E382869 entity
Predicate hasConcept P531 FINISHED
Object Pareto law E382868 NE FINISHED

Disambiguation candidates (1 decision)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareto law
Context triple: [Manual of Political Economy, hasConcept, Pareto law]
  • A. Pareto distribution chosen
    The Pareto distribution is a power-law probability distribution often used to model phenomena with heavy tails and strong inequality, such as wealth or city sizes.
  • B. Zipf's law
    Zipf's law is an empirical statistical principle observing that in many datasets, such as word frequencies in natural language, the frequency of an item is inversely proportional to its rank in a frequency table.
  • C. 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.
  • D. Lusser's law
    Lusser's law is a reliability engineering principle that states the overall reliability of a system is the product of the reliabilities of its individual components, highlighting how system reliability decreases as more components are added in series.
  • E. Szemerényi's law
    Szemerényi's law is a sound law in Proto-Indo-European linguistics that explains the loss of certain final consonants with compensatory lengthening of the preceding vowel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

Stage Batch ID Job type Status
creating batch_69d86da16e188190b89af699f1ed0bfe elicitation completed
NER batch_69e0b4d819c881908bc43a6124a1bb2e ner completed
NED1 batch_69ff90a87e3c8190a1c5b13cbfdff54a ned_source_triple completed
Created at: April 10, 2026, 4:48 a.m.