Triple

T2542576
Position Surface form Disambiguated ID Type / Status
Subject Bhaca polity E57817 entity
Predicate socioPoliticalRole P34425 FINISHED
Object traditional leadership structure 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: traditional leadership structure | Statement: [Bhaca polity, socioPoliticalRole, traditional leadership structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socioPoliticalRole
Context triple: [Bhaca polity, socioPoliticalRole, traditional leadership structure]
  • A. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • B. ethnicRole chosen
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • C. namedForPoliticalRole
    Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
  • D. legislativeRole
    Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
  • E. countryNationalRole
    Indicates the official function, position, or responsibility that an entity holds at the national level within a specific country.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.