Triple

T21197
Position Surface form Disambiguated ID Type / Status
Subject Twenty-second Amendment to the United States Constitution E420 entity
Predicate affectsOffice P1635 FINISHED
Object tenure of the President of the United States — 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: tenure of the President of the United States | Statement: [Twenty-second Amendment to the United States Constitution, affectsOffice, tenure of the President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: affectsOffice
Context triple: [Twenty-second Amendment to the United States Constitution, affectsOffice, tenure of the President of the United States]
  • A. leftOffice
    Indicates that an entity ceased holding or performing the duties of a particular office or position.
  • B. ranForOffice
    Indicates that an entity was a candidate seeking election to a public or organizational office.
  • C. hasOffice
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • D. officeStart
    Indicates the time or date at which an entity’s term, role, or period of holding office begins.
  • E. worksWith
    Indicates that two entities collaborate or perform tasks together in a shared work-related context.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a246f7bd30819085f751c41f6f029e completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a246526f5881909bc2a46e978bd082 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a246f4d7908190a947f6da251c6f3b completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.