Triple

T19266069
Position Surface form Disambiguated ID Type / Status
Subject Bujaków E481780 entity
Predicate isNowPartOf P74112 FINISHED
Object town of Mikołów 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: town of Mikołów | Statement: [Bujaków, isNowPartOf, town of Mikołów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Mikołów
Context triple: [Bujaków, isNowPartOf, town of Mikołów]
  • A. Mikołów chosen
    Mikołów is a historic town in southern Poland known for its traditional Silesian character and proximity to the regional capital, Katowice.
  • B. town of Polańczyk
    The town of Polańczyk is a popular spa and tourist resort in southeastern Poland, known for its scenic location in the Bieszczady region and its health resorts and lakeside recreation.
  • C. Michałów
    Michałów is a village and the seat of a rural administrative district (gmina) in south-central Poland.
  • D. Michałów
    Michałów is a village in east-central Poland located within the administrative district of Gmina Leoncin in the Masovian Voivodeship.
  • E. Miłków
    Miłków is a village in southwestern Poland situated in the scenic Jelenia Góra Valley near the Karkonosze Mountains.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.