Triple

T1065700
Position Surface form Disambiguated ID Type / Status
Subject Chamber of Deputies of Chile E23204 entity
Predicate impeachmentPower P2449 FINISHED
Object can accuse high public officials 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: can accuse high public officials | Statement: [Chamber of Deputies of Chile, impeachmentPower, can accuse high public officials]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impeachmentPower
Context triple: [Chamber of Deputies of Chile, impeachmentPower, can accuse high public officials]
  • A. canImpeach chosen
    Indicates that one entity has the authority or power to formally impeach another entity.
  • B. impeached
    Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
  • C. impeachmentRole
    Indicates the specific role or capacity an entity holds in relation to an impeachment process or proceeding.
  • 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. impeachmentOutcome
    Indicates the result or final status of an impeachment process against a specific officeholder.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b736f1e881909bace735b38c0ade completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.