Triple

T262182
Position Surface form Disambiguated ID Type / Status
Subject China E5561 entity
Predicate politicalSystemFeature P5316 FINISHED
Object one-party rule 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: one-party rule | Statement: [China, politicalSystemFeature, one-party rule]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSystemFeature
Context triple: [China, politicalSystemFeature, one-party rule]
  • A. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • B. hasPolity
    Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
  • C. mainPoliticalDevelopment
    Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
  • D. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • E. hasPoliticalCharacteristic chosen
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e2aba74819093eddd8d820260c0 completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b6c968c819094fc903a3a377e15 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.