Triple
T30340900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirovohrad Oblast State Administration |
E771748
|
entity |
| Predicate | appointedHeadBy |
P257
|
FINISHED |
| Object | President of Ukraine |
—
|
NE NERFINISHED |
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: President of Ukraine | Statement: [Kirovohrad Oblast State Administration, appointedHeadBy, President of Ukraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedHeadBy Context triple: [Kirovohrad Oblast State Administration, appointedHeadBy, President of Ukraine]
-
A.
appointedBy
chosen
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
-
C.
appointedOver
Indicates that one entity has been formally assigned authority, responsibility, or a supervisory role over another entity.
-
D.
appointedThrough
Indicates that an entity attained a position, role, or status by means of a specific appointing process, mechanism, or intermediary.
-
E.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 7:55 p.m.