Triple

T3904884
Position Surface form Disambiguated ID Type / Status
Subject Swazi people E90581 entity
Predicate traditionalGovernmentType P220 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: [Swazi people, traditionalGovernmentType, absolute monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalGovernmentType
Context triple: [Swazi people, traditionalGovernmentType, absolute monarchy]
  • A. governmentType chosen
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • B. governmentTypeStrengthened
    Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
  • C. mainGovernment
    Indicates that one entity serves as the primary governing authority or central government for another entity.
  • D. formedGovernmentWith
    Indicates that two or more political entities joined together to establish or lead a government in partnership.
  • E. governmentalUnitType
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75cff148190b6d5979d17fae085 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.