Triple

T14114316
Position Surface form Disambiguated ID Type / Status
Subject 1996 Japanese general election E339721 entity
Predicate electoralSystemCategory P17877 FINISHED
Object mixed-member majoritarian system 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: mixed-member majoritarian system | Statement: [1996 Japanese general election, electoralSystemCategory, mixed-member majoritarian system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralSystemCategory
Context triple: [1996 Japanese general election, electoralSystemCategory, mixed-member majoritarian system]
  • A. electoralSystemContext chosen
    Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
  • B. electoralSystemConcerned
    Indicates that something is related to, affected by, or focused on a particular electoral system.
  • C. electoralSystemPreference
    Indicates a relationship where an entity expresses a favored or chosen type of electoral system over other possible systems.
  • D. electoralNature
    Indicates that something has the character, features, or conditions related to elections or the electoral process.
  • E. electoralCommissionCategory
    Indicates the classification or type assigned to an electoral commission within a defined categorization system.
  • F. None of above.

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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600f992c81908133813f2894dcca completed April 14, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.