Triple

T23015984
Position Surface form Disambiguated ID Type / Status
Subject Charter 08 E573029 entity
Predicate legalCharacterizationByChineseAuthorities P13138 FINISHED
Object inciting subversion of state power 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: inciting subversion of state power | Statement: [Charter 08, legalCharacterizationByChineseAuthorities, inciting subversion of state power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalCharacterizationByChineseAuthorities
Context triple: [Charter 08, legalCharacterizationByChineseAuthorities, inciting subversion of state power]
  • A. legalStatusInChina
    Indicates the legal status or standing that an entity holds under the laws and regulations of China.
  • B. legalCharacterization chosen
    Indicates how an action, event, or situation is classified or characterized under a specific legal framework or set of laws.
  • C. usedChineseCharacters
    Indicates that one entity employed or wrote using Chinese characters in relation to another entity or context.
  • D. ruleCharacterization
    Indicates that one rule is described, defined, or characterized in terms of another rule or set of rules.
  • E. limitedChinese
    Indicates that the relationship or action is restricted, constrained, or only partially applicable within a Chinese-language or China-related context.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e4dcd48190b2b1c2ab43205e41 completed April 29, 2026, 4:07 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:51 p.m.