Triple

T23154199
Position Surface form Disambiguated ID Type / Status
Subject Sturgeon's Law E578396 entity
Predicate relatedTo P37 FINISHED
Object Pareto principle NE NERFINISHED

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 principle | Statement: [Sturgeon's Law, relatedTo, Pareto principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareto principle
Context triple: [Sturgeon's Law, relatedTo, Pareto principle]
  • A. Pareto principle chosen
    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.
  • B. Pareto efficiency
    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.
  • 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. 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. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efbe9a08190bcb6e822b8eab544 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.