Triple

T15884945
Position Surface form Disambiguated ID Type / Status
Subject Morava river system E385167 entity
Predicate drainageBasinOf P411 FINISHED
Object Nišava NE NERFINISHED

How this triple was built (2 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: [Morava river system, drainageBasinOf, Nišava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nišava
Context triple: [Morava river system, drainageBasinOf, Nišava]
  • A. Nišava chosen
    Nišava is a river in southeastern Europe that flows through Bulgaria and Serbia, passing the city of Niš before joining the South Morava River.
  • B. 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.
  • C. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • D. Moravica
    Moravica is a river in central Serbia that serves as a significant left-bank tributary of the West Morava.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
Created at: April 10, 2026, 4:51 a.m.