Triple

T17771718
Position Surface form Disambiguated ID Type / Status
Subject Kaniówka E443655 entity
Predicate locatedInSettlement P21214 FINISHED
Object Białka Tatrzańska 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: Białka Tatrzańska | Statement: [Kaniówka, locatedInSettlement, Białka Tatrzańska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Białka Tatrzańska
Context triple: [Kaniówka, locatedInSettlement, Białka Tatrzańska]
  • A. Białka Tatrzańska chosen
    Białka Tatrzańska is a popular mountain village and ski resort in southern Poland, known for its thermal baths and access to the Tatra Mountains.
  • B. Skałka
    Skałka is a dramatic work by Polish playwright and artist Stanisław Wyspiański, inspired by the historic Skałka church in Kraków and its national-symbolic significance.
  • C. Sokółka
    Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
  • D. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • 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.