Triple

T7234370
Position Surface form Disambiguated ID Type / Status
Subject Bessarabia E155183 entity
Predicate hasSubregion P285 FINISHED
Object Budjak E367820 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: Budjak | Statement: [Bessarabia, hasSubregion, Budjak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budjak
Context triple: [Bessarabia, hasSubregion, Budjak]
  • A. Budjak chosen
    Budjak is a historical region in the southwestern part of modern Ukraine, bordered by the Black Sea, the Danube, and Moldova, known for its ethnically diverse population and strategic location.
  • B. Belorusskaya
    Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
  • C. Polesia
    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.
  • D. Byalynichy–Horki area
    The Byalynichy–Horki area is a historical and administrative region in eastern Belarus encompassing the towns of Byalynichy and Horki and their surrounding localities.
  • E. Ruß
    "Ruß" is a literary work by contemporary German-Turkish author Feridun Zaimoglu, known for its exploration of identity, migration, and marginalized voices in German society.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea130e5c819087f74883760fe327 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2d96588190bcf150cbfe4d015c completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.