Triple

T17378000
Position Surface form Disambiguated ID Type / Status
Subject Hostýn-Vsetín Mountains E422490 entity
Predicate drainedBy P165 FINISHED
Object Dřevnice 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: Dřevnice | Statement: [Hostýn-Vsetín Mountains, drainedBy, Dřevnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dřevnice
Context triple: [Hostýn-Vsetín Mountains, drainedBy, Dřevnice]
  • A. Dřevnice chosen
    Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
  • B. Lesná
    Lesná is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • E. Rozbřesk
    Rozbřesk is a socialist realist novel by Czech writer and politician Antonín Zápotocký depicting the struggles of the working class.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ea56c8190b56d966ccf2c91f7 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.