Triple

T34518480
Position Surface form Disambiguated ID Type / Status
Subject United States presidential system E886218 entity
Predicate legislatureCanImpeachPresident P2449 FINISHED
Object true 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: true | Statement: [United States presidential system, legislatureCanImpeachPresident, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislatureCanImpeachPresident
Context triple: [United States presidential system, legislatureCanImpeachPresident, true]
  • A. canImpeach chosen
    Indicates that one entity has the authority or power to formally impeach another entity.
  • B. impeachmentPossible
    Indicates that formal removal proceedings can legitimately be initiated against a public official based on alleged misconduct or qualifying grounds.
  • C. impeachmentRequires
    Indicates that the process or act of impeachment necessitates or is contingent upon a specified condition, action, or prerequisite.
  • D. impeachmentGrounds
    Indicates that a particular reason, action, or circumstance serves as a valid basis or justification for initiating impeachment proceedings against an officeholder.
  • E. impeachmentRole
    Indicates the specific role or capacity an entity holds in relation to an impeachment process or proceeding.
  • 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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f731cc6d1881908f80386ef4d70a09 completed May 3, 2026, 11:30 a.m.
PD Predicate disambiguation batch_69f7317779e08190bf85777578221a6b completed May 3, 2026, 11:28 a.m.
Created at: May 1, 2026, 2:01 a.m.