Triple

T449344
Position Surface form Disambiguated ID Type / Status
Subject Macau E7092 entity
Predicate autonomyFramework P1652 FINISHED
Object one country, two systems 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 country, two systems | Statement: [Macau, autonomyFramework, one country, two systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: autonomyFramework
Context triple: [Macau, autonomyFramework, one country, two systems]
  • A. autonomyStatus
    Indicates the degree to which an entity operates independently or with self-governed control, without external direction or intervention.
  • B. grantsOfAutonomy
    Indicates that one entity confers a degree of self-governance, independence, or decision-making authority to another entity.
  • C. independenceFrom
    Indicates that one entity is not controlled, governed, or significantly influenced by another entity.
  • D. establishedSystem
    Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
  • E. policyTool chosen
    Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6755a08190a057e72279b70456 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2ede1a1108190a4a06b3416ae6156 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.