Triple

T16089862
Position Surface form Disambiguated ID Type / Status
Subject Letňany E390332 entity
Predicate locatedNear P294 FINISHED
Object Kbely
Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
 E1195196 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: Kbely | Statement: [Letňany, locatedNear, Kbely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kbely
Context triple: [Letňany, locatedNear, Kbely]
  • A. Kcyninka
    Kcyninka is a small river in Poland that serves as a tributary of the Noteć River.
  • B. Kobeliaky
    Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
  • C. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • D. Kabaty
    Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
  • E. 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.
  • 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: Kbely
Triple: [Letňany, locatedNear, Kbely]
Generated description
Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kbely
Target entity description: Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
  • A. Kcyninka
    Kcyninka is a small river in Poland that serves as a tributary of the Noteć River.
  • B. Kobeliaky
    Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
  • C. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • D. Kabaty
    Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
  • E. 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.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e184522b2c8190986daae6cb2d9db4 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb934b448190a486401ac6c01065 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffefb0225881909982c384a5beb50a completed May 10, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69fff01e1b808190931fff3e91939b82 completed May 10, 2026, 2:40 a.m.
Created at: April 10, 2026, 4:59 a.m.