Triple
T16385540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Олександр Турчинов |
E397912
|
entity |
| Predicate | посада |
P123196
|
FINISHED |
| Object | виконувач обовʼязків Президента України |
—
|
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: виконувач обовʼязків Президента України | Statement: [Олександр Турчинов, посада, виконувач обовʼязків Президента України]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: посада Context triple: [Олександр Турчинов, посада, виконувач обовʼязків Президента України]
-
A.
pole
Indicates that one entity is a long, slender, typically vertical support or rod associated with or used by another entity.
-
B.
stolica
Indicates that one entity is the capital city of another entity (typically a country or region).
-
C.
postTown
Indicates the town or locality that serves as the postal address destination for a given address or location.
-
D.
porte
Indicates that an entity carries, wears, or bears another entity (such as an object, attribute, or characteristic).
-
E.
situates
Indicates that one entity places or locates another entity within a particular spatial, contextual, or conceptual setting.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263c60088190b85a8c02bc3ef315 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.