Triple

T17809945
Position Surface form Disambiguated ID Type / Status
Subject Long Yun E444670 entity
Predicate governmentSystemUnderRule P125963 FINISHED
Object warlord regime in Yunnan 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: warlord regime in Yunnan | Statement: [Long Yun, governmentSystemUnderRule, warlord regime in Yunnan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentSystemUnderRule
Context triple: [Long Yun, governmentSystemUnderRule, warlord regime in Yunnan]
  • A. politicalSystemDuringRule
    Indicates the type of political system that was in place during a particular ruler’s period of governance.
  • B. laterPoliticalSystemUnderRule
    Indicates that one political system came under the rule or authority of another political system at a later point in time.
  • C. countryGovernmentSystemDuringExistence
    Indicates the form of government a country had during its period of existence.
  • D. نظامالحكم chosen
    Indicates the type or structure of governance or political system under which an entity is ruled.
  • E. ruledUnderPolity
    Indicates that an entity exercised rule or governance while being subordinate to, or within the authority framework of, a particular polity.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:14 a.m.