Triple
T10083161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkasy Oblast |
E213950
|
entity |
| Predicate | hasCityStatus |
P3422
|
FINISHED |
| Object | Kamianka |
E886774
|
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: Kamianka | Statement: [Cherkasy Oblast, hasCityStatus, Kamianka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamianka Context triple: [Cherkasy Oblast, hasCityStatus, Kamianka]
-
A.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
B.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
C.
Chortkiv
Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
-
D.
Semenivka
Semenivka is a small town in northern Ukraine known for its rural character and location within the historic Chernihiv region.
-
E.
Horodyshche
chosen
Horodyshche is a town in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
- 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_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
Created at: March 30, 2026, 9 p.m.