Triple
T32443391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Virginia |
E829073
|
entity |
| Predicate | DemocraticPrimaryStatus |
P160039
|
FINISHED |
| Object | unopposed |
—
|
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: unopposed | Statement: [2012 United States Senate election in Virginia, DemocraticPrimaryStatus, unopposed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DemocraticPrimaryStatus Context triple: [2012 United States Senate election in Virginia, DemocraticPrimaryStatus, unopposed]
-
A.
democraticPrimaryHeld
chosen
Indicates that a Democratic Party primary election has taken place for a given race, office, or jurisdiction.
-
B.
RepublicanPrimaryOutcome
Indicates the result or status of a Republican Party primary contest, specifying which candidate or option prevailed.
-
C.
democraticPrimaryStartDate
Indicates the calendar date on which a specified Democratic Party primary election begins.
-
D.
includePrimaryElections
Indicates whether primary election events or data are to be included as part of the specified electoral context or dataset.
-
E.
RepublicanPrimaryCandidate
Indicates that an individual is a candidate running in a Republican Party primary election for a particular office.
- 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_69f6c2e3d0108190bd5ecee75e662368 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.