Triple

T6704171
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim County E152956 entity
Predicate borders P224 FINISHED
Object Bielsko County E309925 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: Bielsko County | Statement: [Oświęcim County, borders, Bielsko County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bielsko County
Context triple: [Oświęcim County, borders, Bielsko County]
  • A. Mikołów County
    Mikołów County is an administrative district in the Silesian Voivodeship of southern Poland, encompassing the town of Mikołów and its surrounding areas.
  • B. Wiślica County
    Wiślica County was a historical administrative district in southern Poland that formed part of the medieval and early modern Sandomierz Voivodeship.
  • C. Zgierz County
    Zgierz County is an administrative district in central Poland, located within the Łódź region and centered around the town of Zgierz.
  • D. Cieszyn County chosen
    Cieszyn County is an administrative district in southern Poland’s Silesian Voivodeship, known for its multicultural heritage and location along the Czech border.
  • E. Skierniewice County
    Skierniewice County is an administrative district in central Poland known for its mix of agricultural areas, small towns, and proximity to the city of Skierniewice.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9251db3388190b8b0ac7549647887 completed March 29, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:06 p.m.