Triple
T6773465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Kentucky |
E155096
|
entity |
| Predicate | electionMonth |
P48165
|
FINISHED |
| Object | November |
—
|
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: November | Statement: [Governor of Kentucky, electionMonth, November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionMonth Context triple: [Governor of Kentucky, electionMonth, November]
-
A.
generalElectionMonth
chosen
Indicates the month during which a general election is scheduled to occur or took place.
-
B.
electionDate
Indicates the specific calendar date on which an election is scheduled to be or was held.
-
C.
electionCycle
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
D.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
E.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24c1b088190b99e9264b9b03dd8 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.