Triple
T32211600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of State of Kentucky |
E822822
|
entity |
| Predicate | isStateLevelOffice |
P28472
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Secretary of State of Kentucky, isStateLevelOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateLevelOffice Context triple: [Secretary of State of Kentucky, isStateLevelOffice, true]
-
A.
stateLevelOfficeHeld
Indicates that an entity has held a public office or position within a state-level government.
-
B.
isOfficialOfficeOf
Indicates that one entity serves as the formally recognized office or headquarters associated with another entity.
-
C.
isCountyLevelUnit
Indicates that an entity functions as an administrative unit at the county level within a governmental or territorial hierarchy.
-
D.
isPartOfStateLegislature
Indicates that an entity serves as a member or component within a specific state-level legislative body.
-
E.
isPoliticalOffice
chosen
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 12:37 a.m.