Triple

T11353128
Position Surface form Disambiguated ID Type / Status
Subject Slovak mining region E268883 entity
Predicate contains P35 FINISHED
Object Vyhne
Vyhne is a historic village in central Slovakia known for its former mining activities, spa traditions, and scenic mountainous surroundings.
E1001786 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: Vyhne | Statement: [Slovak mining region, contains, Vyhne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyhne
Context triple: [Slovak mining region, contains, Vyhne]
  • A. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • B. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • C. Vsetín
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • D. Broumov
    Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
  • E. Zbyhněv
    Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
  • 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: Vyhne
Triple: [Slovak mining region, contains, Vyhne]
Generated description
Vyhne is a historic village in central Slovakia known for its former mining activities, spa traditions, and scenic mountainous surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vyhne
Target entity description: Vyhne is a historic village in central Slovakia known for its former mining activities, spa traditions, and scenic mountainous surroundings.
  • A. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • B. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • C. Vsetín
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • D. Broumov
    Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
  • E. Zbyhněv
    Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684c471b88190a4c79d907152b492 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 8, 2026, 9:33 p.m.