Triple

T1597858
Position Surface form Disambiguated ID Type / Status
Subject Central Bohemian Region E34324 entity
Predicate contains P35 FINISHED
Object Kutná Hora
Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
E231914 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: Kutná Hora | Statement: [Central Bohemian Region, contains, Kutná Hora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutná Hora
Context triple: [Central Bohemian Region, contains, Kutná Hora]
  • A. 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.
  • B. Kolín
    Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
  • C. Opava
    Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
  • D. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • E. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • 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: Kutná Hora
Triple: [Central Bohemian Region, contains, Kutná Hora]
Generated description
Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kutná Hora
Target entity description: Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
  • A. 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.
  • B. Kolín
    Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
  • C. Opava
    Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
  • D. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • E. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26e37de88190b817c24323951ea8 completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae296103a88190b1b91e74fb1f6faa completed March 9, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae29d35ccc8190b693839ac8785740 completed March 9, 2026, 2 a.m.
Created at: March 4, 2026, 7:27 p.m.