Triple

T12154400
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the House of Representatives of Nigeria E289537 entity
Predicate canRuleOn P25381 FINISHED
Object points of order 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: points of order | Statement: [Speaker of the House of Representatives of Nigeria, canRuleOn, points of order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canRuleOn
Context triple: [Speaker of the House of Representatives of Nigeria, canRuleOn, points of order]
  • A. canOverrule chosen
    Indicates that one entity has the authority or power to reverse, nullify, or supersede the decision or judgment made by another entity.
  • B. canAuthorize
    Indicates that one entity has the power or permission to grant approval or official permission for another entity to perform an action or access a resource.
  • C. canEnforce
    Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
  • D. canFrameRules
    Indicates that one entity is able to define or establish the governing rules or framework that apply to another entity or context.
  • E. hasRuleOver
    Indicates that one entity holds authority, control, or governance over another entity.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.