Triple
T17139724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | second impeachment of Donald Trump |
E415931
|
entity |
| Predicate | votingResultHouseNoVotes |
P126262
|
FINISHED |
| Object | 197 |
—
|
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: 197 | Statement: [second impeachment of Donald Trump, votingResultHouseNoVotes, 197]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingResultHouseNoVotes Context triple: [second impeachment of Donald Trump, votingResultHouseNoVotes, 197]
-
A.
noVotesPercentage
Indicates the proportion of total votes that were cast as "no" in a given decision or election.
-
B.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
-
C.
blankAndNullVotes
Indicates that the relationship concerns votes that are either left blank or explicitly marked as null/invalid in an election or voting process.
-
D.
nonVoting
Indicates that an entity participates in a group or organization without possessing the right to vote in its decisions.
-
E.
onlyDissentingVoteInHouse
Indicates that the subject cast the sole dissenting vote in the House on a particular measure or decision.
- 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_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. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.