Triple

T5544588
Position Surface form Disambiguated ID Type / Status
Subject Pareto efficiency E145374 entity
Predicate isNeutralAbout P65296 FINISHED
Object distribution of utility levels LITERAL 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: distribution of utility levels | Statement: [Pareto efficiency, isNeutralAbout, distribution of utility levels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isNeutralAbout
Context triple: [Pareto efficiency, isNeutralAbout, distribution of utility levels]
  • A. usesNeutral
    Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
  • B. isNeutralUnder
    Indicates that one entity does not affect, alter, or interact with another in a way that changes its state, value, or behavior.
  • C. neutralized
    Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
  • D. notAbout
    Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
  • E. involvedNeutralPower
    Indicates that a neutral party or state is involved in a situation, event, or interaction without taking a side or participating as a belligerent.
  • F. None of above. chosen

Provenance (4 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.
PD Predicate disambiguation batch_69c01b0e72f08190bf705d8fe1639401 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f051e508190b3886d87b4afdd0b completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:35 p.m.