Triple

T31251043
Position Surface form Disambiguated ID Type / Status
Subject Zhenyuan E796816 entity
Predicate notablePolicyTheme P148602 FINISHED
Object stabilization of imperial authority 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: stabilization of imperial authority | Statement: [Zhenyuan, notablePolicyTheme, stabilization of imperial authority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablePolicyTheme
Context triple: [Zhenyuan, notablePolicyTheme, stabilization of imperial authority]
  • A. notableTheme
    Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
  • B. policyTopic chosen
    Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
  • C. policyPillar
    Indicates that something (such as a program, measure, or objective) belongs to, supports, or is categorized under a particular policy pillar within a broader policy framework.
  • D. commonPolicyArea
    Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
  • E. policyFocus
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • 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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:11 p.m.