Triple

T21340721
Position Surface form Disambiguated ID Type / Status
Subject North Bohemia E526182 entity
Predicate hasRiver P165 FINISHED
Object Ohře 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: Ohře | Statement: [North Bohemia, hasRiver, Ohře]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohře
Context triple: [North Bohemia, hasRiver, Ohře]
  • A. Ohře chosen
    The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • B. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • C. Brod nad Tichou
    Brod nad Tichou is a small municipality and village in the Plzeň Region of the Czech Republic.
  • D. Oľka
    Oľka is a river in eastern Slovakia that serves as one of the tributaries feeding into the Ondava River.
  • E. Hromovka
    Hromovka is a ski area and slope complex that forms part of the mountain resort town of Špindlerův Mlýn in the Krkonoše (Giant) Mountains of the Czech Republic.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84dfa04819097dbe21eb40a45ef completed April 22, 2026, 10:51 a.m.
Created at: April 16, 2026, 4:44 p.m.