Triple

T4304656
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Beran E99924 entity
Predicate placeOfBirth P1 FINISHED
Object Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
 E428769 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: Pravonín | Statement: [Rudolf Beran, placeOfBirth, Pravonín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pravonín
Context triple: [Rudolf Beran, placeOfBirth, Pravonín]
  • A. Prabuty
    Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria region.
  • B. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • C. Prievidza
    Prievidza is a historic town in central Slovakia known for its proximity to the spa town Bojnice and its role as a regional economic and cultural center.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • 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: Pravonín
Triple: [Rudolf Beran, placeOfBirth, Pravonín]
Generated description
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pravonín
Target entity description: Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • A. Prabuty
    Prabuty is a historic town in northern Poland known for its medieval heritage and location in the lake-dotted landscape of the former Warmia-Masuria region.
  • B. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • C. Prievidza
    Prievidza is a historic town in central Slovakia known for its proximity to the spa town Bojnice and its role as a regional economic and cultural center.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b8e1cc819094ce3d6f6c8da767 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7dcd4948190b996d215bcdd223d completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c863be608190985357d9bd13eb2d completed March 14, 2026, 8:43 p.m.
Created at: March 12, 2026, 11:09 p.m.