Triple

T27139861
Position Surface form Disambiguated ID Type / Status
Subject Fernando de Araújo E681786 entity
Predicate officeEndTime_actingPresident P188415 FINISHED
Object 2008-04-17 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: 2008-04-17 | Statement: [Fernando de Araújo, officeEndTime_actingPresident, 2008-04-17]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeEndTime_actingPresident
Context triple: [Fernando de Araújo, officeEndTime_actingPresident, 2008-04-17]
  • A. officeStartTime_actingPresident
    Indicates the time at which an individual begins serving in the role of acting president.
  • B. officeEndTime (President of Mexico)
    Indicates the time at which a President of Mexico’s term in office concludes.
  • C. officeEndTime (Senate President)
    Indicates the time at which the Senate President’s term in office concludes.
  • D. endTimeInOffice (second presidential term)
    Indicates the date and time when an entity’s second presidential term in office concludes.
  • E. officeEndTime (President of the Republic of China)
    Indicates the time at which a President of the Republic of China’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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69fba78aca4c8190b8f1831e8cc04e06 completed May 6, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69fba34a65a4819088bac6c17542d71c completed May 6, 2026, 8:23 p.m.
PDg Predicate description generation batch_69fba789c1188190973a919bfe2871f3 completed May 6, 2026, 8:41 p.m.
Created at: April 27, 2026, 9:08 a.m.