Triple

T6184597
Position Surface form Disambiguated ID Type / Status
Subject Government of Taiwan E138025 entity
Predicate usesPoliticalSystem P18523 FINISHED
Object multi-party 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: multi-party system | Statement: [Government of Taiwan, usesPoliticalSystem, multi-party system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPoliticalSystem
Context triple: [Government of Taiwan, usesPoliticalSystem, multi-party system]
  • A. politicalSystemOnOtherSide
    Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
  • B. governsInPoliticalSystem
    Indicates that one entity exercises authoritative control or rule over another entity within a specified political system or structure.
  • C. politicalForm
    Indicates the type or structure of governance or political organization that characterizes an entity.
  • D. hasPolity
    Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
  • E. usedByPolity chosen
    Indicates that something (such as a resource, tool, system, or practice) is utilized or employed by a particular polity (e.g., a state, government, or political entity).
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69c055fa0a808190bda37832e3ac150c completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:19 p.m.