Triple

T1871329
Position Surface form Disambiguated ID Type / Status
Subject Kanuri E39040 entity
Predicate politicalSystemHistorical P33374 FINISHED
Object 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: monarchy | Statement: [Kanuri, politicalSystemHistorical, monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSystemHistorical
Context triple: [Kanuri, politicalSystemHistorical, monarchy]
  • A. historicalDominantParties
    Indicates that certain political parties have historically held dominant or ruling positions within a given political system or jurisdiction.
  • B. mainPoliticalDevelopment
    Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
  • C. politicalRegimeEstablished
    Indicates that a particular political regime has been formally created and brought into effect in a given place or context.
  • D. politicalSystemOnOtherSide
    Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • F. None of above. chosen

Provenance (4 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb0f630e881908cd9491aeaeb4aed completed March 7, 2026, 5 a.m.
Created at: March 4, 2026, 7:34 p.m.