Triple

T543703
Position Surface form Disambiguated ID Type / Status
Subject Congress of People's Deputies of the Soviet Union E12685 entity
Predicate degreeOfPluralism P15494 FINISHED
Object partially pluralistic 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: partially pluralistic | Statement: [Congress of People's Deputies of the Soviet Union, degreeOfPluralism, partially pluralistic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeOfPluralism
Context triple: [Congress of People's Deputies of the Soviet Union, degreeOfPluralism, partially pluralistic]
  • A. attitudeTowardDiversity
    Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
  • B. centerOfDiversity
    Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
  • C. diversity
    Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
  • D. hasPlurality
    Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
  • E. typicalDegree
    Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69a494b8098481908097228db8ad0262 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49858abd48190bd4b002a93e4a908 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.