Triple

T2308890
Position Surface form Disambiguated ID Type / Status
Subject Government of Nigeria E51903 entity
Predicate electoralSystemForExecutive P539 FINISHED
Object direct popular vote for president 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: direct popular vote for president | Statement: [Government of Nigeria, electoralSystemForExecutive, direct popular vote for president]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralSystemForExecutive
Context triple: [Government of Nigeria, electoralSystemForExecutive, direct popular vote for president]
  • A. electoralSystemContext
    Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
  • B. electoralSystemConcerned
    Indicates that something is related to, affected by, or focused on a particular electoral system.
  • C. headOfGovernmentChosenBy
    Indicates that the head of government is selected or appointed through the decision or authority of the specified chooser.
  • D. electoralClass
    Indicates the category or type of electoral process or constituency to which an election, seat, or candidate belongs.
  • E. electionMethod chosen
    Indicates the process or system used to select a candidate or make a decision in an election.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abce1f4f0c8190a714e4dcb8449f7e completed March 7, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69abc58ce2a081908ce2f0cadd92e9f8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.