Triple
T32443389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Virginia |
E829073
|
entity |
| Predicate | resultingSenatorParty |
P92003
|
FINISHED |
| Object | Democratic Party |
—
|
NE NERFINISHED |
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: Democratic Party | Statement: [2012 United States Senate election in Virginia, resultingSenatorParty, Democratic Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingSenatorParty Context triple: [2012 United States Senate election in Virginia, resultingSenatorParty, Democratic Party]
-
A.
partyOfElectedSenator
chosen
Indicates that a given political party is the party affiliation of a specified elected senator.
-
B.
senateMajorityLeaderParty
Indicates which political party the Senate Majority Leader belongs to.
-
C.
lieutenantGovernorWinnerParty
Indicates the political party affiliation of the candidate who won the lieutenant governor election.
-
D.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
-
E.
partyAffiliationDuringSenateService
Indicates the political party with which a senator was affiliated during their period of service in the 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 12:55 a.m.