Triple

T15729124
Position Surface form Disambiguated ID Type / Status
Subject South Morava E381293 entity
Predicate majorTributary P415 FINISHED
Object Nišava
Nišava is a river in southeastern Europe that flows through Bulgaria and Serbia, passing the city of Niš before joining the South Morava River.
 E1270678 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: Nišava | Statement: [South Morava, majorTributary, Nišava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nišava
Context triple: [South Morava, majorTributary, Nišava]
  • A. Nišava Valley
    Nišava Valley is a geographic region in southeastern Europe shaped by the course of the Nišava River, known for its strategic transport routes and surrounding mountainous landscapes.
  • B. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • C. Moravica
    Moravica is a river in central Serbia that serves as a significant left-bank tributary of the West Morava.
  • D. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • E. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • 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: Nišava
Triple: [South Morava, majorTributary, Nišava]
Generated description
Nišava is a river in southeastern Europe that flows through Bulgaria and Serbia, passing the city of Niš before joining the South Morava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nišava
Target entity description: Nišava is a river in southeastern Europe that flows through Bulgaria and Serbia, passing the city of Niš before joining the South Morava River.
  • A. Nišava Valley
    Nišava Valley is a geographic region in southeastern Europe shaped by the course of the Nišava River, known for its strategic transport routes and surrounding mountainous landscapes.
  • B. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • C. Moravica
    Moravica is a river in central Serbia that serves as a significant left-bank tributary of the West Morava.
  • D. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • E. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b809739081908bd44b383daa5f57 completed May 11, 2026, 11:05 a.m.
NEDg Description generation batch_6a01b8a74f9881909eb1d5185f72dd0b completed May 11, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01b91205048190a284c301e9cf051e completed May 11, 2026, 11:10 a.m.
Created at: April 10, 2026, 4:46 a.m.