Triple
T26972088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 United States Senate elections |
E679343
|
entity |
| Predicate | afterElectionSenateComposition |
P139414
|
FINISHED |
| Object | 50 Republicans, 50 Democrats |
—
|
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: 50 Republicans, 50 Democrats | Statement: [2000 United States Senate elections, afterElectionSenateComposition, 50 Republicans, 50 Democrats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterElectionSenateComposition Context triple: [2000 United States Senate elections, afterElectionSenateComposition, 50 Republicans, 50 Democrats]
-
A.
afterElectionSenator
Indicates that one person holds the position of senator following a specified election.
-
B.
senateResult
chosen
Indicates the outcome or status of a decision, vote, or election related to a senate.
-
C.
senateMajorityPartyAfterElection
Indicates which political party holds the majority of seats in the senate following a specific election.
-
D.
chamberAfterElection
Indicates the legislative chamber in which an elected official serves following a specific election.
-
E.
electionForSenateMembers
Indicates an electoral process in which individuals are chosen to serve as members of a senate.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 6:40 a.m.