Triple
T10083155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkasy Oblast |
E213950
|
entity |
| Predicate | hasCityStatus |
P3422
|
FINISHED |
| Object | Korsun-Shevchenkivskyi |
E566878
|
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: Korsun-Shevchenkivskyi | Statement: [Cherkasy Oblast, hasCityStatus, Korsun-Shevchenkivskyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korsun-Shevchenkivskyi Context triple: [Cherkasy Oblast, hasCityStatus, Korsun-Shevchenkivskyi]
-
A.
Korsun-Shevchenkivskyi
chosen
Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
-
B.
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
-
C.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
D.
Myrhorod
Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
-
E.
Kupiansk
Kupiansk is a strategically important city in Ukraine’s Kharkiv Oblast, serving as a key railway and logistics hub near the front lines of the Russo-Ukrainian War.
- 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_69e215ac56248190a75ad5ceb8152d5a |
completed | April 17, 2026, 11:12 a.m. |
Created at: March 30, 2026, 9 p.m.