Triple
T7380472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio Senate |
E170233
|
entity |
| Predicate | electionDetail |
P76673
|
FINISHED |
| Object | approximately half of seats elected every two years |
—
|
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: approximately half of seats elected every two years | Statement: [Ohio Senate, electionDetail, approximately half of seats elected every two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionDetail Context triple: [Ohio Senate, electionDetail, approximately half of seats elected every two years]
-
A.
electionParticipatedIn
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
-
B.
electionContests
Indicates that one election is in competition with, or formally challenges the outcome or validity of, another election.
-
C.
electionForOffice
Indicates that an election event is held to select or fill a specific office or position.
-
D.
generalElectionCandidate
Indicates that a person is a candidate running for office in a general election.
-
E.
partyInElection
Indicates that a political party participates as a contestant or actor in a specific election.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0ebf9c88190af5a4d87d3fd338a |
completed | March 27, 2026, 9:04 p.m. |
Created at: March 27, 2026, 3:08 p.m.