Triple

T17717285
Position Surface form Disambiguated ID Type / Status
Subject Cheb District E442231 entity
Predicate contains P35 FINISHED
Object Hazlov
Hazlov is a small municipality and village in the Karlovy Vary Region of the Czech Republic, near the German border.
E1306316 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: Hazlov | Statement: [Cheb District, contains, Hazlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazlov
Context triple: [Cheb District, contains, Hazlov]
  • A. Žamberk
    Žamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its picturesque setting in the Orlické Foothills and well-preserved architecture.
  • B. Jablunkov
    Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian heritage.
  • C. 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.
  • D. Harrachov
    Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
  • E. Humpolec
    Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
  • 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: Hazlov
Triple: [Cheb District, contains, Hazlov]
Generated description
Hazlov is a small municipality and village in the Karlovy Vary Region of the Czech Republic, near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hazlov
Target entity description: Hazlov is a small municipality and village in the Karlovy Vary Region of the Czech Republic, near the German border.
  • A. Žamberk
    Žamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its picturesque setting in the Orlické Foothills and well-preserved architecture.
  • B. Jablunkov
    Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian heritage.
  • C. 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.
  • D. Harrachov
    Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
  • E. Humpolec
    Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a037c23e784819087da9c25290d6a5e completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037e4f9a648190a8031fde473d6d30 completed May 12, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a037eba5fb88190b2c131260f28df84 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:06 a.m.