Triple
T17139726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | second impeachment of Donald Trump |
E415931
|
entity |
| Predicate | numberOfRepublicansVotingYes |
P126263
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [second impeachment of Donald Trump, numberOfRepublicansVotingYes, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRepublicansVotingYes Context triple: [second impeachment of Donald Trump, numberOfRepublicansVotingYes, 10]
-
A.
numberOfRepublicanMembers
Indicates the quantity of members in a group or body who are affiliated with or belong to the Republican Party.
-
B.
numberOfSupportVotesInChamber
Indicates the count of votes cast in favor of a proposal within a specific legislative chamber.
-
C.
yesVotes
Indicates that a specified entity has cast or received affirmative votes in a decision-making or voting context.
-
D.
numberOfOppositionSenators
Indicates the quantity of senators who belong to or align with an opposition group relative to a specified reference (such as a government, party, or proposal).
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- 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.