Triple

T16395923
Position Surface form Disambiguated ID Type / Status
Subject Biała Krakowska E398178 entity
Predicate hasNameInPolish P15778 FINISHED
Object Biała Krakowska E398178 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: Biała Krakowska | Statement: [Biała Krakowska, hasNameInPolish, Biała Krakowska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biała Krakowska
Context triple: [Biała Krakowska, hasNameInPolish, Biała Krakowska]
  • A. Biała Krakowska chosen
    Biała Krakowska is the former town that now forms the eastern, historically separate part of the modern city of Bielsko-Biała in southern Poland.
  • B. Plac Krasińskich
    Plac Krasińskich is a historic square in Warsaw, Poland, known for its notable architecture and monuments commemorating Polish history, including the Warsaw Uprising.
  • C. Wisła Kraków
    Wisła Kraków is one of Poland’s oldest and most successful football clubs, based in the city of Kraków.
  • D. Kępa Mieszczańska
    Kępa Mieszczańska is a river island located on the Oder in Wrocław, Poland, known for its green spaces and proximity to the city center.
  • E. Brama Kraszewskiego
    Brama Kraszewskiego is a distinctive rock gate formation located in the Kościeliska Valley in the Tatra Mountains of southern Poland.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326462298819087091dc935f0f916 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003575e51c8190a8677f658eb73a30 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.