Triple

T14009768
Position Surface form Disambiguated ID Type / Status
Subject Nagykanizsa E337046 entity
Predicate hasTwinTown P919 FINISHED
Object Krosno Odrzańskie E668158 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: Krosno Odrzańskie | Statement: [Nagykanizsa, hasTwinTown, Krosno Odrzańskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krosno Odrzańskie
Context triple: [Nagykanizsa, hasTwinTown, Krosno Odrzańskie]
  • A. Krosno Odrzańskie chosen
    Krosno Odrzańskie is a small historic town in western Poland, located on the Oder River in the Lubusz Voivodeship.
  • B. Krosno
    Krosno is a historic town in southeastern Poland known for its glassmaking industry and well-preserved old town.
  • C. Kresowa
    Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
  • D. Krościenko nad Dunajcem
    Krościenko nad Dunajcem is a picturesque village in southern Poland, known as a popular tourist and recreation center in the Pieniny Mountains along the Dunajec River.
  • E. Gnojno
    Gnojno is a village in south-central Poland located within the administrative area of Busko County in the Świętokrzyskie Voivodeship.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.