Triple

T16206139
Position Surface form Disambiguated ID Type / Status
Subject Tábor District E393331 entity
Predicate hasRiver P165 FINISHED
Object Nežárka
Nežárka is a river in the South Bohemian Region of the Czech Republic, known as a tributary of the Lužnice and for flowing through a landscape of ponds and wetlands.
E1201286 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: Nežárka | Statement: [Tábor District, hasRiver, Nežárka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nežárka
Context triple: [Tábor District, hasRiver, Nežárka]
  • A. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • B. Ležáky
    Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
  • C. Vrútky
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • D. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • E. Nečas
    Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister 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: Nežárka
Triple: [Tábor District, hasRiver, Nežárka]
Generated description
Nežárka is a river in the South Bohemian Region of the Czech Republic, known as a tributary of the Lužnice and for flowing through a landscape of ponds and wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nežárka
Target entity description: Nežárka is a river in the South Bohemian Region of the Czech Republic, known as a tributary of the Lužnice and for flowing through a landscape of ponds and wetlands.
  • A. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • B. Ležáky
    Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
  • C. Vrútky
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • D. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • E. Nečas
    Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270f047c819084645da27759a3d2 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:03 a.m.