Triple

T12318576
Position Surface form Disambiguated ID Type / Status
Subject Klatovy District E293668 entity
Predicate containsRiver P165 FINISHED
Object Lomnice (river) E470900 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: Lomnice (river) | Statement: [Klatovy District, containsRiver, Lomnice (river)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lomnice (river)
Context triple: [Klatovy District, containsRiver, Lomnice (river)]
  • A. Lomnice (river) chosen
    Lomnice is a river in the Czech Republic that flows through the Plzeň Region before joining the Úslava River.
  • B. Łomnica River
    The Łomnica River is a mountain river in the Krkonoše range of Central Europe, known for its fast-flowing course and role in draining the surrounding highland terrain.
  • C. Łagowica River
    The Łagowica River is a small river in south-central Poland that flows through the town of Opatów in the Świętokrzyskie region.
  • D. Lužnice River
    The Lužnice River is a significant river in South Bohemia, Czech Republic, known for its meandering course, natural wetlands, and popularity for canoeing and recreation.
  • E. Zlínský potok
    Zlínský potok is a small stream in the Czech Republic that flows through and gives its name to the city of Zlín.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.