Triple

T10593809
Position Surface form Disambiguated ID Type / Status
Subject Luiz Inácio Lula da Silva E250057 entity
Predicate endTimeInOffice (second presidential term) P94823 FINISHED
Object 2010-12-31 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: 2010-12-31 | Statement: [Luiz Inácio Lula da Silva, endTimeInOffice (second presidential term), 2010-12-31]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endTimeInOffice (second presidential term)
Context triple: [Luiz Inácio Lula da Silva, endTimeInOffice (second presidential term), 2010-12-31]
  • A. endTimeAsHeadOfPresidentialAdministration
    Indicates the date and time when an individual’s tenure as head of the presidential administration comes to an end.
  • B. officeStartTime (Vice President of the United States)
    Indicates the date and time at which a person begins serving in the role of Vice President of the United States.
  • C. endTimeAsInterimPresident
    Indicates the point in time at which an individual's tenure serving as interim president concludes.
  • D. endTimeAsECPresident
    Indicates the point in time at which an individual’s term or tenure as President of the European Commission concludes.
  • E. officeEndTime (Senate President)
    Indicates the time at which the Senate President’s term in office concludes.
  • F. None of above. chosen

Provenance (4 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69d5190a6dfc819088262957551808a1 completed April 7, 2026, 2:47 p.m.
PDg Predicate description generation batch_69d5270eca0481908573b698390c5b08 completed April 7, 2026, 3:47 p.m.
Created at: April 6, 2026, 12:40 p.m.