Triple
T3062764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhytomyr |
E62033
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Polesia |
E54248
|
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: Polesia | Statement: [Zhytomyr, historicalRegion, Polesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polesia Context triple: [Zhytomyr, historicalRegion, Polesia]
-
A.
Polesia
chosen
Polesia is a vast marshy and forested region of Eastern Europe spanning parts of Belarus, Ukraine, Poland, and Russia, known for its unique wetlands, traditional rural culture, and rich biodiversity.
-
B.
Vistula Land
Vistula Land was the name given to the former Congress Poland after its gradual integration into the Russian Empire as a more directly governed province in the late 19th century.
-
C.
Wallachian Plain
The Wallachian Plain is a large fertile lowland region in southern Romania, known for its extensive agriculture and industrial development.
-
D.
Russian Plain
The Russian Plain is a vast lowland region in Eastern Europe that forms the core of European Russia and features extensive flat terrain, rivers, and fertile soils.
-
E.
Belorusskaya
Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea088fc819090b9d5bbcb268671 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef118cb48190a1f666ead7c19a12 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.