Triple

T6390770
Position Surface form Disambiguated ID Type / Status
Subject Skawa River E143818 entity
Predicate flowsThrough P225 FINISHED
Object Sucha Beskidzka E11393 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: Sucha Beskidzka | Statement: [Skawa River, flowsThrough, Sucha Beskidzka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucha Beskidzka
Context triple: [Skawa River, flowsThrough, Sucha Beskidzka]
  • A. Sucha Beskidzka chosen
    Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
  • B. Żywiec Beskids
    Żywiec Beskids is a mountain range in southern Poland known for its high peaks, including Babia Góra, and popular hiking and skiing areas.
  • 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. Monowice
    Monowice is a village in southern Poland that became historically significant as the site of the Nazi German Auschwitz III-Monowitz labor camp during World War II.
  • E. 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.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687c7fdc819099cbbb937dec215e completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388b02888190989623c658469a5a completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:34 p.m.