Triple
T10083049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinnytsia |
E213949
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vinnytsia Oblast |
E221541
|
NE 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: Vinnytsia Oblast | Statement: [Vinnytsia, locatedIn, Vinnytsia Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinnytsia Oblast Context triple: [Vinnytsia, locatedIn, Vinnytsia Oblast]
-
A.
Vinnytsia Oblast
chosen
Vinnytsia Oblast is an administrative region in central Ukraine known for its agricultural economy, historical cities, and role as a key transportation hub.
-
B.
Voroshylovhrad Oblast
Voroshylovhrad Oblast was the Soviet-era name of the administrative region in eastern Ukraine now known as Luhansk Oblast.
-
C.
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.
-
D.
Ternopil Oblast
Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
-
E.
Zhytomyr Oblast
Zhytomyr Oblast is an administrative region in northern-central Ukraine known for its mixed forests, agricultural lands, and historical cities such as Zhytomyr.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6554d0b0081909cc031ff06b796c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: March 30, 2026, 9 p.m.