Triple

T20207486
Position Surface form Disambiguated ID Type / Status
Subject Pruzhany E493390 entity
Predicate countrySubdivision P766 FINISHED
Object Brest Voblast 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: Brest Voblast | Statement: [Pruzhany, countrySubdivision, Brest Voblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest Voblast
Context triple: [Pruzhany, countrySubdivision, Brest Voblast]
  • A. Brest District
    Brest District is an administrative district in southwestern Belarus that surrounds and is governed from the city of Brest.
  • B. Brest Region chosen
    Brest Region is an administrative region in southwestern Belarus known for its border location with Poland and Ukraine, agricultural importance, and historical sites including the Brest Fortress.
  • 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. Slutsk District
    Slutsk District is an administrative district in central Belarus, known for its historical town of Slutsk and its location within the Minsk Region.
  • E. Kamenets-Podolsky region
    The Kamenets-Podolsky region is a historical area in western Ukraine centered around the city of Kamianets-Podilskyi, known for its strategic military importance and well-preserved medieval fortress.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.