Triple

T17655328
Position Surface form Disambiguated ID Type / Status
Subject Kuřim E429606 entity
Predicate hasRiver P165 FINISHED
Object Kuřimka stream
Kuřimka stream is a small watercourse in the South Moravian Region of the Czech Republic that flows through the town of Kuřim and its surrounding landscape.
 E429606 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: Kuřimka stream | Statement: [Kuřim, hasRiver, Kuřimka stream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuřimka stream
Context triple: [Kuřim, hasRiver, Kuřimka stream]
  • A. Kuřim
    Kuřim is a small industrial town in the South Moravian Region of the Czech Republic, located just northwest of Brno.
  • B. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • C. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • D. Kcyninka
    Kcyninka is a small river in Poland that serves as a tributary of the Noteć 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. 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: Kuřimka stream
Triple: [Kuřim, hasRiver, Kuřimka stream]
Generated description
Kuřimka stream is a small watercourse in the South Moravian Region of the Czech Republic that flows through the town of Kuřim and its surrounding landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuřimka stream
Target entity description: Kuřimka stream is a small watercourse in the South Moravian Region of the Czech Republic that flows through the town of Kuřim and its surrounding landscape.
  • A. Kuřim chosen
    Kuřim is a small industrial town in the South Moravian Region of the Czech Republic, located just northwest of Brno.
  • B. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • C. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • D. Kcyninka
    Kcyninka is a small river in Poland that serves as a tributary of the Noteć 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.

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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e40e344819086a49c69f8f2956b completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021656351081908bc8f4e7eabbf8f8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021747bc488190bf008b895d7f085b completed May 11, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0217e07bd08190a727c42742a467c3 completed May 11, 2026, 5:54 p.m.
Created at: April 10, 2026, 6:06 a.m.