Triple

T16206125
Position Surface form Disambiguated ID Type / Status
Subject Tábor District E393331 entity
Predicate contains P35 FINISHED
Object Slapy
Slapy is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and local historical charm.
 E1201281 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: Slapy | Statement: [Tábor District, contains, Slapy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slapy
Context triple: [Tábor District, contains, Slapy]
  • A. Šlapanice
    Šlapanice is a small town in the South Moravian Region of the Czech Republic, situated just east of Brno and functioning largely as a residential and commuter suburb of the city.
  • B. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • C. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • D. Modranka
    Modranka is a small town located in the Trnava Region of western Slovakia.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • 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: Slapy
Triple: [Tábor District, contains, Slapy]
Generated description
Slapy is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and local historical charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slapy
Target entity description: Slapy is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and local historical charm.
  • A. Šlapanice
    Šlapanice is a small town in the South Moravian Region of the Czech Republic, situated just east of Brno and functioning largely as a residential and commuter suburb of the city.
  • B. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • C. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • D. Modranka
    Modranka is a small town located in the Trnava Region of western Slovakia.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • 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.