Triple

T3869311
Position Surface form Disambiguated ID Type / Status
Subject Ohře E91943 entity
Predicate tributary P415 FINISHED
Object 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.
E396456 NE FINISHED

How this triple was built (4 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: Blšanka | Statement: [Ohře, tributary, Blšanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blšanka
Context triple: [Ohře, tributary, Blšanka]
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • D. 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.
  • E. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blšanka
Triple: [Ohře, tributary, Blšanka]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blšanka
Target entity description: 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.
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • D. 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.
  • E. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • F. None of above. chosen

Provenance (5 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b51cf79be481909f4749c86b41ee00 completed March 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_69b51d73ecd48190881c15ff6e0daea0 completed March 14, 2026, 8:33 a.m.
Created at: March 9, 2026, 3:20 p.m.