Triple
T27514141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislative Branch of Argentina |
E694497
|
entity |
| Predicate | hasRoleInImpeachment |
P2841
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Legislative Branch of Argentina, hasRoleInImpeachment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInImpeachment Context triple: [Legislative Branch of Argentina, hasRoleInImpeachment, yes]
-
A.
canImpeach
Indicates that one entity has the authority or power to formally impeach another entity.
-
B.
impeachmentRole
chosen
Indicates the specific role or capacity an entity holds in relation to an impeachment process or proceeding.
-
C.
votedToConvictInImpeachmentOf
Indicates that one entity cast a vote in favor of convicting another entity in a formal impeachment proceeding.
-
D.
impeachedIn
Indicates that a person has been formally charged with misconduct through an impeachment process in a specified jurisdiction or legislative body.
-
E.
impeachmentPossible
Indicates that formal removal proceedings can legitimately be initiated against a public official based on alleged misconduct or qualifying grounds.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 1:17 p.m.