Triple
T16688584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sula River |
E405531
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Sumy Oblast |
—
|
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: Sumy Oblast | Statement: [Sula River, flowsThrough, Sumy Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumy Oblast Context triple: [Sula River, flowsThrough, Sumy Oblast]
-
A.
Sumy Oblast
chosen
Sumy Oblast is an administrative region in northeastern Ukraine known for its agricultural landscape, industrial centers, and border with Russia.
-
B.
Ternopil Oblast
Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
-
C.
Khmelnytskyi Oblast
Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
-
D.
Ivano-Frankivsk Oblast
Ivano-Frankivsk Oblast is an administrative region in western Ukraine known for its Carpathian Mountain landscapes, rich Hutsul culture, and historical cities.
-
E.
Vinnytsia Oblast
Vinnytsia Oblast is an administrative region in central Ukraine known for its agricultural economy, historical cities, and role as a key transportation hub.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:19 a.m.