Triple

T15609584
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate traversedByRiver P165 FINISHED
Object Nišava E746798 NE FINISHED

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: [Southern and Eastern Serbia region, traversedByRiver, Nišava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nišava
Context triple: [Southern and Eastern Serbia region, traversedByRiver, Nišava]
  • A. Nišava Valley chosen
    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. Vrbas
    Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
  • D. Vrbas
    Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
  • E. Vukosava
    Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678821a481908378db1ffc76ba05 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:13 a.m.