Triple

T4064019
Position Surface form Disambiguated ID Type / Status
Subject Western Belarus E86281 entity
Predicate containsPart P35 FINISHED
Object Brest Region E209608 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: Brest Region | Statement: [Western Belarus, containsPart, Brest Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest Region
Context triple: [Western Belarus, containsPart, Brest Region]
  • A. 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.
  • B. Brest District
    Brest District is an administrative district in southwestern Belarus that surrounds and is governed from the city of Brest.
  • C. Grodno Region
    Grodno Region is an administrative region in western Belarus known for its historic cities, diverse cultural heritage, and location along the borders with Poland and Lithuania.
  • D. Minsk Region
    Minsk Region is an administrative region in central Belarus that surrounds, but does not include, the national capital city of Minsk.
  • E. Mogilev Region
    Mogilev Region is an administrative region in eastern Belarus known for its industrial centers, agricultural production, and location along the Dnieper River.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd7896c81909c61ed0d910d9c5f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b55b5388190a90551c43388f3fc completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:38 p.m.