Triple

T20382487
Position Surface form Disambiguated ID Type / Status
Subject Daur E497871 entity
Predicate integrationPolicyContext P62834 FINISHED
Object Chinese system of recognized nationalities (minzu) 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: Chinese system of recognized nationalities (minzu) | Statement: [Daur, integrationPolicyContext, Chinese system of recognized nationalities (minzu)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: integrationPolicyContext
Context triple: [Daur, integrationPolicyContext, Chinese system of recognized nationalities (minzu)]
  • A. integrationPolicy
    Indicates the rules or strategy governing how separate components, systems, or processes are combined and made to work together.
  • B. policyContext
    Indicates the situational or regulatory framework within which a policy is defined, interpreted, or applied.
  • C. integrationContext chosen
    Indicates the contextual framework or environment within which multiple components, systems, or processes are combined and interact as an integrated whole.
  • D. closurePolicyContext
    Indicates the policy or set of rules that governs how and under what conditions a process, case, or entity is brought to closure.
  • E. implementedPolicy
    Indicates that a particular policy has been put into effect or carried out by an 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b208ec8190a09bf5fd947a2a02 completed April 20, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69e57648be3c81908256838228cabf5c completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:27 a.m.