Triple
T10074267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zbruch |
E213708
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Khmelnytskyi Oblast |
E247257
|
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: Khmelnytskyi Oblast | Statement: [Zbruch, region, Khmelnytskyi Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khmelnytskyi Oblast Context triple: [Zbruch, region, Khmelnytskyi Oblast]
-
A.
Khmelnytskyi Oblast
chosen
Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
-
B.
Ternopil Oblast
Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
-
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.
Voroshylovhrad Oblast
Voroshylovhrad Oblast was the Soviet-era name of the administrative region in eastern Ukraine now known as Luhansk Oblast.
-
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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd015ad488190aee3a2bfb58fb855 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63449892881909d361815cbfcdee5 |
completed | May 2, 2026, 5:28 p.m. |
Created at: March 30, 2026, 8:59 p.m.