Triple

T37991166
Position Surface form Disambiguated ID Type / Status
Subject African peoples E947825 entity
Predicate politicalOrganizationForms P15721 FINISHED
Object kingdoms 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: kingdoms | Statement: [African peoples, politicalOrganizationForms, kingdoms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalOrganizationForms
Context triple: [African peoples, politicalOrganizationForms, kingdoms]
  • A. politicalFormation
    Indicates a relationship where an entity is established, organized, or constituted as a political body or governmental structure.
  • B. politicalOrganization
    Indicates that an entity is a political organization, such as a party, movement, or group engaged in political activities or governance-related objectives.
  • C. politicalForm chosen
    Indicates the type or structure of governance or political organization that characterizes an entity.
  • D. governmentalForm
    Indicates the type or structure of governance that characterizes a political entity or organization.
  • E. traditionalPoliticalEntity
    Indicates that an entity functions as a historically established or customary political unit or authority within a given social or cultural 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_69f76efa37088190be5416b7ef1ca275 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ff45793d5c81909dc503ad1f714ee2 completed May 9, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69ff41cb0e088190a6e9b03cb20e5fad completed May 9, 2026, 2:16 p.m.
Created at: May 3, 2026, 4:20 p.m.