Triple

T16255938
Position Surface form Disambiguated ID Type / Status
Subject Rolava E394626 entity
Predicate flowsThrough P225 FINISHED
Object Nejdek
Nejdek is a small town in the Karlovy Vary Region of the Czech Republic, known for its historical mining heritage and location in the Ore Mountains.
 E1202534 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: Nejdek | Statement: [Rolava, flowsThrough, Nejdek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nejdek
Context triple: [Rolava, flowsThrough, Nejdek]
  • A. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • B. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • C. Neydens
    Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • D. Nejd
    Nejd is a vast central region of the Arabian Peninsula that historically served as the heartland of the Saudi state and the birthplace of its ruling dynasty.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • 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: Nejdek
Triple: [Rolava, flowsThrough, Nejdek]
Generated description
Nejdek is a small town in the Karlovy Vary Region of the Czech Republic, known for its historical mining heritage and location in the Ore Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nejdek
Target entity description: Nejdek is a small town in the Karlovy Vary Region of the Czech Republic, known for its historical mining heritage and location in the Ore Mountains.
  • A. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • B. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • C. Neydens
    Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • D. Nejd
    Nejd is a vast central region of the Arabian Peninsula that historically served as the heartland of the Saudi state and the birthplace of its ruling dynasty.
  • E. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011995ff481908bbca9f9cfb41bf0 completed May 10, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0012669ff48190884367b92962a6d4 completed May 10, 2026, 5:06 a.m.
Created at: April 10, 2026, 5:04 a.m.