Triple
T19648636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennadiy Zubko |
E471747
|
entity |
| Predicate | governmentPositionType |
P9655
|
FINISHED |
| Object | cabinet minister |
—
|
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: cabinet minister | Statement: [Hennadiy Zubko, governmentPositionType, cabinet minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentPositionType Context triple: [Hennadiy Zubko, governmentPositionType, cabinet minister]
-
A.
U.S.GovernmentPosition
Indicates that an entity holds, held, or is associated with an official position or office within the United States government.
-
B.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
C.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
D.
governmentOfficeOrTitleOf
chosen
Indicates that one entity is a government office or official title held by, associated with, or designating the role of another entity.
-
E.
governmentOffice
Indicates that an entity functions as an official administrative or governmental office responsible for carrying out public or state-related duties.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.