Triple

T15832708
Position Surface form Disambiguated ID Type / Status
Subject Michel Temer E383909 entity
Predicate assumedPresidencyFollowing P105806 FINISHED
Object impeachment of Dilma Rousseff 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: impeachment of Dilma Rousseff | Statement: [Michel Temer, assumedPresidencyFollowing, impeachment of Dilma Rousseff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assumedPresidencyFollowing
Context triple: [Michel Temer, assumedPresidencyFollowing, impeachment of Dilma Rousseff]
  • A. officeAssumedAsPresidentFollowing chosen
    Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
  • B. succeededByAsPresident
    Indicates that one individual directly followed another in holding the office of president.
  • C. successorInauguralSeason
    Indicates that one season is the immediate next inaugural season following another season in a sequence.
  • D. presidencyAfterElection
    Indicates that one entity assumes the office of president as a result of an election involving another entity.
  • E. inauguratedBy
    Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e653e388190a4696cdb22546715 completed April 16, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.