Triple

T12241126
Position Surface form Disambiguated ID Type / Status
Subject Government of the People's Republic of China E291730 entity
Predicate partyStateStructure P72631 FINISHED
Object fusion of party and state institutions 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: fusion of party and state institutions | Statement: [Government of the People's Republic of China, partyStateStructure, fusion of party and state institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyStateStructure
Context triple: [Government of the People's Republic of China, partyStateStructure, fusion of party and state institutions]
  • A. stateParty
    Indicates that an entity is a member or signatory state formally bound by a particular treaty, agreement, or convention.
  • B. legislatureStructure
    Indicates how a legislative body is organized, such as its internal composition, chambers, and structural arrangement.
  • C. stateOfGovernorship
    Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
  • D. statePartyOf
    Indicates that an entity is a member or signatory state to a particular treaty, convention, or international agreement.
  • E. inGovernmentStructure chosen
    Indicates that one entity is part of, belongs to, or is included within the organizational or institutional framework of a government.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d924a3973c8190a882046963b320fb completed April 10, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69d91c41bcbc81909782f4e3c571b218 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.