Triple

T441491
Position Surface form Disambiguated ID Type / Status
Subject Yoruba E10121 entity
Predicate traditionalPoliticalSystem P1815 FINISHED
Object city-states 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: city-states | Statement: [Yoruba, traditionalPoliticalSystem, city-states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalPoliticalSystem
Context triple: [Yoruba, traditionalPoliticalSystem, city-states]
  • A. traditionalPoliticalAlignment
    Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
  • B. hasPolity chosen
    Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
  • C. formerPoliticalEntity
    Indicates that an entity was once a political entity (such as a state, country, or polity) but no longer exists in that political form.
  • D. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • E. mainPoliticalDevelopment
    Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69a2eddcf50c8190bfa0d1f8ee9f604a completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.