Triple

T10931799
Position Surface form Disambiguated ID Type / Status
Subject Orlické Mountains E258223 entity
Predicate nearCity P350 FINISHED
Object Dobruška E893455 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: Dobruška | Statement: [Orlické Mountains, nearCity, Dobruška]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobruška
Context triple: [Orlické Mountains, nearCity, Dobruška]
  • A. Dobruška chosen
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • B. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Sremčica
    Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • E. Ojstrica
    Ojstrica is a prominent mountain peak in northern Slovenia, known for its steep limestone walls and scenic views within the Kamnik–Savinja Alps.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bdf678881909cae518ecaacf577 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:23 p.m.