Triple

T17368686
Position Surface form Disambiguated ID Type / Status
Subject Ruzyně E422250 entity
Predicate locatedNear P294 FINISHED
Object Bílá Hora NE ONDG

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: Bílá Hora | Statement: [Ruzyně, locatedNear, Bílá Hora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bílá Hora
Context triple: [Ruzyně, locatedNear, Bílá Hora]
  • A. Svatá Hora
    Svatá Hora is a famous Baroque pilgrimage complex and Marian shrine in the Czech Republic, renowned for its ornate architecture and religious significance.
  • B. Vysoké Skalky
    Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
  • C. Sásd
    Sásd is a small town in southern Hungary, situated in Baranya County and known for its rural character and regional transport connections.
  • D. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • E. Stará Turá
    Stará Turá is a small Slovak town known for its location in the hilly western part of the country and its traditional industrial and cultural character.
  • 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: Bílá Hora
Triple: [Ruzyně, locatedNear, Bílá Hora]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bílá Hora
Target entity description: Bílá Hora is a historic hill and district in Prague best known as the site of the 1620 Battle of White Mountain, a decisive event in Czech and European history.
  • A. Svatá Hora
    Svatá Hora is a famous Baroque pilgrimage complex and Marian shrine in the Czech Republic, renowned for its ornate architecture and religious significance.
  • B. Vysoké Skalky
    Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
  • C. Sásd
    Sásd is a small town in southern Hungary, situated in Baranya County and known for its rural character and regional transport connections.
  • D. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • E. Stará Turá
    Stará Turá is a small Slovak town known for its location in the hilly western part of the country and its traditional industrial and cultural character.
  • F. None of above. chosen

Provenance (4 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.