Triple

T16395924
Position Surface form Disambiguated ID Type / Status
Subject Biała Krakowska E398178 entity
Predicate hasNameInGerman P22792 FINISHED
Object Krakau-Biala E90431 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: Krakau-Biala | Statement: [Biała Krakowska, hasNameInGerman, Krakau-Biala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krakau-Biala
Context triple: [Biała Krakowska, hasNameInGerman, Krakau-Biala]
  • A. Bielsko-Biała chosen
    Bielsko-Biała is a city in southern Poland at the foot of the Beskid Mountains, known as a regional industrial and cultural center formed from the historic towns of Bielsko and Biała.
  • B. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • C. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • D. Wawer
    Wawer is a district in southeastern Warsaw, Poland, historically known as the site of a notorious World War II Nazi massacre of Polish civilians.
  • E. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • 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_6a00aae394d48190aca8e6f5e1cc781f completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:09 a.m.