Triple

T17849570
Position Surface form Disambiguated ID Type / Status
Subject Dąbrowa Górnicza E445760 entity
Predicate sharesBorderWith P224 FINISHED
Object Bukowno 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: Bukowno | Statement: [Dąbrowa Górnicza, sharesBorderWith, Bukowno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukowno
Context triple: [Dąbrowa Górnicza, sharesBorderWith, Bukowno]
  • A. Bukowno chosen
    Bukowno is a town in southern Poland known for its industrial character and location within the Lesser Poland Voivodeship.
  • B. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • C. Bodzentyn
    Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
  • D. Bolków
    Bolków is a small historic town in southwestern Poland, best known for its medieval castle and annual rock music festival.
  • E. Braniewo
    Braniewo is a historic town in northern Poland near the Baltic coast, known as one of the oldest urban centers in the Warmia region.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffd7e2c81909a42cc7ab64e7db9 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.