Triple
T17139739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | second impeachment of Donald Trump |
E415931
|
entity |
| Predicate | senateConvictionThreshold |
P2842
|
FINISHED |
| Object | 67 |
—
|
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: 67 | Statement: [second impeachment of Donald Trump, senateConvictionThreshold, 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateConvictionThreshold Context triple: [second impeachment of Donald Trump, senateConvictionThreshold, 67]
-
A.
impeachmentConvictionThreshold
chosen
Indicates the required level of support or number of votes needed to convict an official in an impeachment proceeding.
-
B.
ratificationThreshold
Indicates the minimum level of approval or support required for a proposal, agreement, or decision to be formally ratified.
-
C.
numberOfStatesRequiredForRatification
Indicates the specific number of states that must approve or ratify a proposal for it to become valid or effective.
-
D.
clotureThreshold
Indicates the minimum number or proportion of votes required to end debate and proceed to a final decision on a proposal.
-
E.
treatyRatificationThreshold
Indicates the minimum level of approval or support required for a treaty to be formally ratified or come into legal effect.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d318a88190aae8d776376c8053 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.