Triple

T17481500
Position Surface form Disambiguated ID Type / Status
Subject Szklarska Poręba E425670 entity
Predicate partOf P40 FINISHED
Object Karkonosze County NE NERFINISHED

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: Karkonosze County | Statement: [Szklarska Poręba, partOf, Karkonosze County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karkonosze County
Context triple: [Szklarska Poręba, partOf, Karkonosze County]
  • A. Karkonosze County chosen
    Karkonosze County is a local government district in southwestern Poland, encompassing part of the Karkonosze (Giant) Mountains and popular tourist towns such as Karpacz.
  • B. Wołów County
    Wołów County is an administrative district in southwestern Poland’s Lower Silesian Voivodeship, encompassing towns such as Wołów and Brzeg Dolny.
  • C. Żary County
    Żary County is an administrative district in western Poland’s Lubusz Voivodeship, known for its seat in the town of Żary and its proximity to the German border.
  • D. Zawichost County
    Zawichost County was a historical administrative district in the Sandomierz region of Poland, centered on the town of Zawichost.
  • E. Skarżysko County
    Skarżysko County is an administrative district in south-central Poland, centered around the town of Skarżysko-Kamienna and known for its mix of industrial areas and surrounding forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.