Triple

T21297094
Position Surface form Disambiguated ID Type / Status
Subject Oroszlány E524952 entity
Predicate hasTwinTown P919 FINISHED
Object Ludgeřovice
Ludgeřovice is a village and municipality in the Moravian-Silesian Region of the Czech Republic.
E1475795 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: Ludgeřovice | Statement: [Oroszlány, hasTwinTown, Ludgeřovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludgeřovice
Context triple: [Oroszlány, hasTwinTown, Ludgeřovice]
  • A. Luhacovice
    Luhacovice is a Czech spa town renowned for its mineral springs, therapeutic treatments, and distinctive spa architecture.
  • B. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • C. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • D. Neratovice
    Neratovice is a town in the Central Bohemian Region of the Czech Republic, located north of Prague and functioning partly as a residential and industrial suburb of the capital.
  • E. Bavorovice
    Bavorovice is a small village in the South Bohemian Region of the Czech Republic, known for its traditional rural character and proximity to the town of Hluboká nad Vltavou.
  • 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: Ludgeřovice
Triple: [Oroszlány, hasTwinTown, Ludgeřovice]
Generated description
Ludgeřovice is a village and municipality in the Moravian-Silesian Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ludgeřovice
Target entity description: Ludgeřovice is a village and municipality in the Moravian-Silesian Region of the Czech Republic.
  • A. Luhacovice
    Luhacovice is a Czech spa town renowned for its mineral springs, therapeutic treatments, and distinctive spa architecture.
  • B. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • C. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • D. Neratovice
    Neratovice is a town in the Central Bohemian Region of the Czech Republic, located north of Prague and functioning partly as a residential and industrial suburb of the capital.
  • E. Bavorovice
    Bavorovice is a small village in the South Bohemian Region of the Czech Republic, known for its traditional rural character and proximity to the town of Hluboká nad Vltavou.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09981227a4819095b3ba894f0c6828 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a099892435c8190844d6587d1202ff2 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0999266e0c8190b815cb90d9c984c6 completed May 17, 2026, 10:32 a.m.
Created at: April 16, 2026, 4:04 p.m.