Triple

T6704173
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim County E152956 entity
Predicate borders P224 FINISHED
Object City of Jaworzno E251901 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: City of Jaworzno | Statement: [Oświęcim County, borders, City of Jaworzno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Jaworzno
Context triple: [Oświęcim County, borders, City of Jaworzno]
  • A. Jaworzno chosen
    Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
  • B. Jedwabno
    Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
  • C. Chorzów
    Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
  • D. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • E. Polkowice
    Polkowice is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • 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_69c70085ed8c81909cb407ab183ebbe5 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.