Triple

T19221585
Position Surface form Disambiguated ID Type / Status
Subject Sądecczyzna E480626 entity
Predicate hasTown P847 FINISHED
Object Muszyna 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: Muszyna | Statement: [Sądecczyzna, hasTown, Muszyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muszyna
Context triple: [Sądecczyzna, hasTown, Muszyna]
  • A. Muszyna chosen
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Maruszyna
    Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
  • C. Górzyca
    Górzyca is a village in western Poland that serves as the seat of its rural administrative district in Słubice County, Lubusz Voivodeship.
  • D. Mszana Dolna
    Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
  • E. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.