Triple

T7838520
Position Surface form Disambiguated ID Type / Status
Subject President of Afghanistan E181744 entity
Predicate canVetoLegislation P18441 FINISHED
Object yes 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: yes | Statement: [President of Afghanistan, canVetoLegislation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canVetoLegislation
Context triple: [President of Afghanistan, canVetoLegislation, yes]
  • A. canRejectLegislation chosen
    Indicates that an entity has the authority to refuse approval of proposed legislation, thereby preventing it from taking effect.
  • B. canInitiateLegislation
    Indicates that the subject has the authority or power to formally propose or introduce new legislation or legal measures.
  • C. canDelayLegislation
    Indicates that an entity has the authority or power to postpone or slow the progress of a legislative proposal or process.
  • D. cannotLegislateOn
    Indicates that one entity lacks the authority or legal power to create, modify, or enact laws concerning a specified subject, domain, or other entity.
  • E. vetoedBy
    Indicates that an action, decision, or proposal was rejected or blocked by a specific entity with veto authority.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c336f08190a21a3fcaa7269457 completed March 31, 2026, 12:26 a.m.
PD Predicate disambiguation batch_69cae91e98988190abd4ece75932c589 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:46 p.m.