Triple

T7400175
Position Surface form Disambiguated ID Type / Status
Subject Silesian Beskids E170725 entity
Predicate near P350 FINISHED
Object Żywiec Beskids E427375 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: Żywiec Beskids | Statement: [Silesian Beskids, near, Żywiec Beskids]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Żywiec Beskids
Context triple: [Silesian Beskids, near, Żywiec Beskids]
  • A. Żywiec Beskids chosen
    Żywiec Beskids is a mountain range in southern Poland known for its high peaks, including Babia Góra, and popular hiking and skiing areas.
  • B. Sucha Beskidzka
    Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
  • C. Maków Beskids
    Maków Beskids is a mountain range in the Western Beskids of southern Poland, known for its rolling forested hills and small towns.
  • D. Bukowina Tatrzańska
    Bukowina Tatrzańska is a popular mountain village and tourist resort in southern Poland, known for its traditional Highlander culture, ski facilities, and thermal baths.
  • E. Silesian Beskids
    The Silesian Beskids are a mountain range in the Western Carpathians known for their forested peaks, hiking trails, and popular ski resorts in southern Poland and the Czech Republic.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.