Triple
T19619265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enakievo |
E470954
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Donbas region |
—
|
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: Donbas region | Statement: [Enakievo, partOf, Donbas region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donbas region Context triple: [Enakievo, partOf, Donbas region]
-
A.
Donbas
chosen
Donbas is an industrial and coal-mining region in eastern Ukraine, historically known for its heavy industry and significant role in Soviet and post-Soviet economic and political affairs.
-
B.
Donetsk Oblast
Donetsk Oblast is an industrial and heavily urbanized region in eastern Ukraine, historically known for coal mining and metallurgy and currently a focal point of the Russo-Ukrainian conflict.
-
C.
Luhansk
Luhansk is a major city in eastern Ukraine, historically an industrial center and currently a focal point in the Russo-Ukrainian conflict.
-
D.
Luhansk Oblast
Luhansk Oblast is an eastern Ukrainian region that forms part of the industrial Donbas area and has been a focal point of the Russo-Ukrainian conflict.
-
E.
eastern Ukraine
Eastern Ukraine is a historically industrial and culturally diverse region of Ukraine, influenced by both Ukrainian and Russian traditions and marked in recent years by significant political and military conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e4570c81909fc4f9b871346337 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.