Triple

T34118346
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Labour Party E875037 entity
Predicate hasNotablePositionHeldByMember P112779 FINISHED
Object President of Brazil 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: President of Brazil | Statement: [Brazilian Labour Party, hasNotablePositionHeldByMember, President of Brazil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotablePositionHeldByMember
Context triple: [Brazilian Labour Party, hasNotablePositionHeldByMember, President of Brazil]
  • A. hasMemberWhoHeldOffice chosen
    Indicates that a group or organization includes at least one member who has held a specified office or position.
  • B. hasNotableMember
    Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
  • C. hasNotableFormerMemberRole
    Indicates that an entity has a role or position that was notably held by a former member of that entity.
  • D. politicalPositionHeldByMembers
    Indicates that a particular political position is or has been occupied by one or more members of a specified group or organization.
  • E. hasPresidentialMember
    Indicates that an entity includes or is associated with a member who holds or has held the position of president.
  • 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_69f349a9271c81909576994c9ef7b179 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a02fc3890a881908b69b0f2d7cc1ce1 completed May 12, 2026, 10:08 a.m.
PD Predicate disambiguation batch_6a02fb98438c8190938896c00216b9ec completed May 12, 2026, 10:06 a.m.
Created at: May 1, 2026, 1:53 a.m.