Triple
T10083159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkasy Oblast |
E213950
|
entity |
| Predicate | hasCityStatus |
P3422
|
FINISHED |
| Object | Monastyryshche |
E842884
|
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: Monastyryshche | Statement: [Cherkasy Oblast, hasCityStatus, Monastyryshche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monastyryshche Context triple: [Cherkasy Oblast, hasCityStatus, Monastyryshche]
-
A.
Monastyryshche
chosen
Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
B.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
C.
Gorodets
Gorodets is an ancient Russian town on the Volga River, known as one of the oldest settlements in the Nizhny Novgorod region and historically significant as a medieval trading and craft center.
-
D.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
E.
Chervonohrad
Chervonohrad is a mining and industrial city in western Ukraine known for its coal industry and location in the Lviv Oblast.
- 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_69d30050fbec8190ab7807d64ab73e61 |
completed | April 6, 2026, 12:37 a.m. |
Created at: March 30, 2026, 9 p.m.