Triple

T16558232
Position Surface form Disambiguated ID Type / Status
Subject Wieliczka County E402264 entity
Predicate seat P75 FINISHED
Object Wieliczka E11392 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: Wieliczka | Statement: [Wieliczka County, seat, Wieliczka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wieliczka
Context triple: [Wieliczka County, seat, Wieliczka]
  • A. Wieliczka chosen
    Wieliczka is a historic town in southern Poland best known for its UNESCO-listed medieval salt mine, one of the country’s major tourist attractions.
  • B. Mysłowice
    Mysłowice is a city in southern Poland known as part of the industrial and urban region of Upper Silesia.
  • C. Kalwaria Zebrzydowska
    Kalwaria Zebrzydowska is a renowned Polish pilgrimage town famous for its UNESCO-listed Mannerist monastery and park complex dedicated to the Passion of Christ and the Virgin Mary.
  • 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. Wielka Krokiew
    Wielka Krokiew is a major ski jumping hill in Zakopane, Poland, known for hosting prominent international ski jumping competitions.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576bce0c819087ab36f7dec5c394 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006eddb01081908e7ab59264199e15 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.