Triple
T5774213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia Senate |
E127398
|
entity |
| Predicate | selectionOfPresident |
P33599
|
FINISHED |
| Object | elected by Senate members |
—
|
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: elected by Senate members | Statement: [West Virginia Senate, selectionOfPresident, elected by Senate members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionOfPresident Context triple: [West Virginia Senate, selectionOfPresident, elected by Senate members]
-
A.
presidencySelection
chosen
Indicates the process or outcome by which an individual is chosen or appointed to hold the office of the presidency.
-
B.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
C.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
D.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
E.
presidency
Indicates that an entity holds or relates to the office, role, or term of serving as president over a state, organization, or institution.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.