Triple

T5038384
Position Surface form Disambiguated ID Type / Status
Subject Beranek E113483 entity
Predicate hasVariant P455 FINISHED
Object Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
 E489943 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: Beránek | Statement: [Beranek, hasVariant, Beránek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beránek
Context triple: [Beranek, hasVariant, Beránek]
  • A. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • B. Bečkerek
    Bečkerek is the historical name of the Serbian city now known as Zrenjanin, located in the Banat region of the Vojvodina province.
  • C. Náchod
    Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
  • D. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • E. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • 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: Beránek
Triple: [Beranek, hasVariant, Beránek]
Generated description
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beránek
Target entity description: Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
  • A. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • B. Bečkerek
    Bečkerek is the historical name of the Serbian city now known as Zrenjanin, located in the Banat region of the Vojvodina province.
  • C. Náchod
    Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
  • D. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • E. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73daaa788190b670f6c328bfa44f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea479f01c8190a84ff4973845eb17 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea525d9088190b0b655687dd27630 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea594850881909cd683670b63a079 completed March 21, 2026, 2:05 p.m.
Created at: March 20, 2026, 1:37 p.m.