Triple

T1161995
Position Surface form Disambiguated ID Type / Status
Subject Dunajec River E24512 entity
Predicate hasGorge P650 FINISHED
Object Dunajec River Gorge E137061 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: Dunajec River Gorge | Statement: [Dunajec River, hasGorge, Dunajec River Gorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunajec River Gorge
Context triple: [Dunajec River, hasGorge, Dunajec River Gorge]
  • A. Dunajec River Gorge chosen
    Dunajec River Gorge is a scenic limestone canyon on the Polish–Slovak border, famed for its dramatic cliffs and traditional wooden-raft river trips.
  • B. Aoos Gorge
    Aoos Gorge is a dramatic river canyon in northwestern Greece, known for its steep cliffs, rich biodiversity, and popular hiking and rafting routes.
  • C. Czarny Dunajec
    Czarny Dunajec is a village and municipality in southern Poland’s Podhale region, known for its traditional highland culture and proximity to the Tatra Mountains.
  • D. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • E. Tisa riverbank
    Tisa riverbank is the shoreline and adjacent land along the Tisa River, known for its natural landscapes and recreational areas in Central and Eastern Europe.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb1915081908834ced85d09e299 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8311ba6481908aaca4c1e9d8b78f completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:45 p.m.