Triple

T3394671
Position Surface form Disambiguated ID Type / Status
Subject Right-bank Ukraine E71499 entity
Predicate hasHistoricalRegion 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: [Right-bank Ukraine, hasHistoricalRegion, Polesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polesia
Context triple: [Right-bank Ukraine, hasHistoricalRegion, 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb85487088190b8a4ec546ff8a461 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bca95108190b39aad4ac06dbf58 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.