Triple

T15716514
Position Surface form Disambiguated ID Type / Status
Subject Bory Tucholskie National Park E380973 entity
Predicate locatedNear P294 FINISHED
Object Tuchola 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: Tuchola | Statement: [Bory Tucholskie National Park, locatedNear, Tuchola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuchola
Context triple: [Bory Tucholskie National Park, locatedNear, Tuchola]
  • A. Tuchola chosen
    Tuchola is a town in northern Poland that lends its name to the surrounding Tuchola Forest, one of the largest forest complexes in the country.
  • B. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Skawica
    Skawica is a village in southern Poland, located in the Lesser Poland Voivodeship within the administrative district of powiat suski.
  • E. Byczyna
    Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
  • 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.