Triple

T10028618
Position Surface form Disambiguated ID Type / Status
Subject Yongzheng E204794 entity
Predicate governmentTypeDuringEra P17921 FINISHED
Object absolute monarchy 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: absolute monarchy | Statement: [Yongzheng, governmentTypeDuringEra, absolute monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeDuringEra
Context triple: [Yongzheng, governmentTypeDuringEra, absolute monarchy]
  • A. politicalSystemDuringRule
    Indicates the type of political system that was in place during a particular ruler’s period of governance.
  • B. historicalRegime
    Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
  • C. governmentTypeBefore
    Indicates the form of government that existed for an entity prior to a specified change or later government type.
  • D. governmentFormDuringEra chosen
    Indicates the specific form or system of government that was in place during a particular historical era or time period.
  • E. governingStyleAssociatedWith
    Indicates a relationship where a particular governing style, method, or approach is linked or attributed to a specific entity (such as a leader, regime, or organization).
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:54 p.m.