Triple
T7508831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | first impeachment of Donald Trump |
E177461
|
entity |
| Predicate | articlesApprovedByHouseDate |
P24939
|
FINISHED |
| Object | 2019-12-18 |
—
|
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: 2019-12-18 | Statement: [first impeachment of Donald Trump, articlesApprovedByHouseDate, 2019-12-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articlesApprovedByHouseDate Context triple: [first impeachment of Donald Trump, articlesApprovedByHouseDate, 2019-12-18]
-
A.
passedHouseDate
chosen
Indicates the date on which a proposed measure or item was approved or passed by the House.
-
B.
approvalDate
Indicates the date on which an action, request, or item was formally approved.
-
C.
approvedAt
Indicates the date and time at which an entity received formal approval.
-
D.
senatePassageDate
Indicates the date on which a senate formally passed or approved a specific measure, bill, or action.
-
E.
passedHouseVote
Indicates that a proposed measure or bill has received sufficient affirmative votes to be approved by the House of Representatives.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.