Triple

T15716513
Position Surface form Disambiguated ID Type / Status
Subject Bory Tucholskie National Park E380973 entity
Predicate locatedNear P294 FINISHED
Object Chojnice 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: Chojnice | Statement: [Bory Tucholskie National Park, locatedNear, Chojnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chojnice
Context triple: [Bory Tucholskie National Park, locatedNear, Chojnice]
  • A. Chojnice chosen
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • B. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • D. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • E. Korczyna
    Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
Created at: April 10, 2026, 4:45 a.m.