Triple
T22754665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremenchuk Uyezd |
E562805
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Kremenchuk |
—
|
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: Kremenchuk | Statement: [Kremenchuk Uyezd, administrativeCenter, Kremenchuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kremenchuk Context triple: [Kremenchuk Uyezd, administrativeCenter, Kremenchuk]
-
A.
Kremenchuk
chosen
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
B.
Kirovograd
Kirovograd is a city in central Ukraine, historically significant as a strategic site during World War II and now known as Kropyvnytskyi.
-
C.
Dniprodzerzhynsk
Dniprodzerzhynsk (now officially called Kamianske) is an industrial city in central Ukraine known for its heavy industry and metallurgical enterprises along the Dnieper River.
-
D.
Oleksandriia
Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
-
E.
Kharkiv
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bc48788190b3deb9287d02cb2c |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.