Triple

T4460149
Position Surface form Disambiguated ID Type / Status
Subject Białka Tatrzańska E98231 entity
Predicate hasSkiResort P1981 FINISHED
Object Kaniówka
Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
E443655 NE FINISHED

How this triple was built (4 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: Kaniówka | Statement: [Białka Tatrzańska, hasSkiResort, Kaniówka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaniówka
Context triple: [Białka Tatrzańska, hasSkiResort, Kaniówka]
  • A. Gubałówka
    Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
  • B. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaniówka
Triple: [Białka Tatrzańska, hasSkiResort, Kaniówka]
Generated description
Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaniówka
Target entity description: Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
  • A. Gubałówka
    Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
  • B. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • F. None of above. chosen

Provenance (5 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35673337c8190b923159791ec27e3 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376c8e74819087aa2ff3e4429674 completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b63b3e39608190890b6da972f28eeb completed March 15, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69b63baa6e9081909d9f87d528b4f2bb completed March 15, 2026, 4:55 a.m.
Created at: March 12, 2026, 11:33 p.m.