Triple
T8809041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brest Region |
E209608
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Minsk Region |
E224062
|
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: Minsk Region | Statement: [Brest Region, bordersWith, Minsk Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minsk Region Context triple: [Brest Region, bordersWith, Minsk Region]
-
A.
Minsk Region
chosen
Minsk Region is an administrative region in central Belarus that surrounds, but does not include, the national capital city of Minsk.
-
B.
Minsk Governorate
Minsk Governorate was an administrative division of the Russian Empire and later the early Soviet state, centered on the city of Minsk in the historical region of Belarus.
-
C.
Mogilev Region
Mogilev Region is an administrative region in eastern Belarus known for its industrial centers, agricultural production, and location along the Dnieper River.
-
D.
Vitebsk Region
Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
-
E.
Gomel Region
Gomel Region is an administrative region in southeastern Belarus known for its industrial centers, agricultural production, and proximity to the Chernobyl-affected areas.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd4cbec8190a929d4e60da8ad65 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065b11f3c81909c787d365b242d57 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 6:45 p.m.