Triple

T11352668
Position Surface form Disambiguated ID Type / Status
Subject Banská Bystrica Region E268872 entity
Predicate containsCity P294 FINISHED
Object Poltár
Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
E926932 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: Poltár | Statement: [Banská Bystrica Region, containsCity, Poltár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poltár
Context triple: [Banská Bystrica Region, containsCity, Poltár]
  • A. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • B. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • C. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • D. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • 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: Poltár
Triple: [Banská Bystrica Region, containsCity, Poltár]
Generated description
Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poltár
Target entity description: Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
  • A. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • B. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • C. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • D. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • 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_69e5e8be6d448190ba1e7197f8fc01c2 completed April 20, 2026, 8:50 a.m.
NEDg Description generation batch_69e5f1557e9c8190b53ce391793b2c7f completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f863bf7c81908969ed0a5b99f032 completed April 20, 2026, 9:56 a.m.
Created at: April 8, 2026, 9:33 p.m.