Triple

T2057135
Position Surface form Disambiguated ID Type / Status
Subject Włodawa E45699 entity
Predicate historicalRegion P915 FINISHED
Object Polesie 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: Polesie | Statement: [Włodawa, historicalRegion, Polesie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polesie
Context triple: [Włodawa, historicalRegion, Polesie]
  • 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. Lusatia
    Lusatia is a historical region in Central Europe, spanning parts of eastern Germany and western Poland, known for its distinct Sorbian (West Slavic) cultural and linguistic heritage.
  • D. Bór
    Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9abdb088190991a620e01dc226f completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271cb26c81908664f4c26f4fb5ea completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.