Triple

T17771731
Position Surface form Disambiguated ID Type / Status
Subject Kaniówka E443655 entity
Predicate nearbyResort P3449 FINISHED
Object Kotelnica Białczańska 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: Kotelnica Białczańska | Statement: [Kaniówka, nearbyResort, Kotelnica Białczańska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotelnica Białczańska
Context triple: [Kaniówka, nearbyResort, Kotelnica Białczańska]
  • A. Kotelnica Białczańska chosen
    Kotelnica Białczańska is one of the largest and most popular ski resorts in Poland, located in the village of Białka Tatrzańska in the Tatra region.
  • B. Palenica Białczańska
    Palenica Białczańska is a popular trailhead and parking area in the Tatra Mountains of southern Poland, serving as the main starting point for hikes to Morskie Oko (Sea Eye) and other nearby destinations.
  • C. Bieńkówka
    Bieńkówka is a village in southern Poland located within the administrative district of Gmina Budzów in Lesser Poland Voivodeship.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Białołęka
    Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e486005770819085d637279b2334eb completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.