Triple

T17655320
Position Surface form Disambiguated ID Type / Status
Subject Kuřim E429606 entity
Predicate hasTwinTown P919 FINISHED
Object Pińczów 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: Pińczów | Statement: [Kuřim, hasTwinTown, Pińczów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pińczów
Context triple: [Kuřim, hasTwinTown, Pińczów]
  • A. Pińczów chosen
    Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
  • B. Korczyna
    Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian region.
  • C. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • D. Goleszów
    Goleszów is a village in southern Poland that serves as the seat of Gmina Goleszów in the Silesian Voivodeship.
  • E. Czernichów
    Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e40e344819086a49c69f8f2956b completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.