Triple

T4372330
Position Surface form Disambiguated ID Type / Status
Subject Hermann Kafka E98924 entity
Predicate placeOfBirth P1 FINISHED
Object Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
 E444439 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: Osek | Statement: [Hermann Kafka, placeOfBirth, Osek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osek
Context triple: [Hermann Kafka, placeOfBirth, Osek]
  • A. Mělník
    Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
  • B. Český Brod
    Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
  • C. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • D. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • E. Lučenec
    Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
  • 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: Osek
Triple: [Hermann Kafka, placeOfBirth, Osek]
Generated description
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osek
Target entity description: Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • A. Mělník
    Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
  • B. Český Brod
    Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
  • C. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • D. Svatava
    Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
  • E. Lučenec
    Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521f7d9c81909c9209fe59d20ffd completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f2db8908190ba0f5b5ba1a75bef completed March 15, 2026, 7:26 a.m.
NEDg Description generation batch_69b65fb4967c819088dd9d3f5a7dfeea completed March 15, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b66011193c8190ac8834a0c55c68d2 completed March 15, 2026, 7:30 a.m.
Created at: March 12, 2026, 11:17 p.m.