Triple
T17139725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | second impeachment of Donald Trump |
E415931
|
entity |
| Predicate | votingResultHousePartyLine |
P10095
|
FINISHED |
| Object | mostly along party lines |
—
|
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: mostly along party lines | Statement: [second impeachment of Donald Trump, votingResultHousePartyLine, mostly along party lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingResultHousePartyLine Context triple: [second impeachment of Donald Trump, votingResultHousePartyLine, mostly along party lines]
-
A.
voteResult
chosen
Indicates the outcome or decision produced by a voting process involving the related entities.
-
B.
ledByParty
Indicates that an organization, group, or governing body is under the leadership or control of a specified political party.
-
C.
partyNumber
Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
-
D.
otherPartiesSeatsWon
Indicates the number of seats won by all parties other than the primary or main party in an election or representative body.
-
E.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
- 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.