Triple

T14569629
Position Surface form Disambiguated ID Type / Status
Subject Gmina Bukowno E341875 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Bukowno E414308 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: Bukowno | Statement: [Gmina Bukowno, hasAdministrativeCenter, Bukowno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukowno
Context triple: [Gmina Bukowno, hasAdministrativeCenter, 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. 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.
  • E. Bujaków
    Bujaków is a district and former village that is now part of the town of Mikołów in southern Poland.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 1:23 a.m.