Triple
T23374953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky gubernatorial elections |
E593582
|
entity |
| Predicate | coincideWithPresidentialElections |
P152488
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Kentucky gubernatorial elections, coincideWithPresidentialElections, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coincideWithPresidentialElections Context triple: [Kentucky gubernatorial elections, coincideWithPresidentialElections, no]
-
A.
isMidtermElection
Indicates that the election occurs in the middle of a governing term, typically halfway between regular general elections.
-
B.
isMidtermElectionDuring
Indicates that a midterm election takes place during a specified time period or event.
-
C.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
D.
electsInEvenYears
Indicates that the election or selection of an entity occurs specifically in calendar years that are even numbers.
-
E.
appliesToElectionYear
Indicates that something is relevant, valid, or in effect specifically for a given election year.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:33 p.m.