Triple

T15729127
Position Surface form Disambiguated ID Type / Status
Subject South Morava E381293 entity
Predicate majorTributary P415 FINISHED
Object Vlasina
Vlasina is a river in southeastern Serbia known for flowing from the Vlasina Lake area and joining the South Morava River.
 E1272793 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: Vlasina | Statement: [South Morava, majorTributary, Vlasina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vlasina
Context triple: [South Morava, majorTributary, Vlasina]
  • A. 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.
  • B. Vodnjese
    Vodnjese is a local dialect of the Istriot language traditionally spoken in and around the town of Vodnjan in Istria.
  • C. Kosava
    Kosava is a small town in western Belarus known for its historic castle and as the birthplace region of Polish national hero Tadeusz Kościuszko.
  • D. Desna
    Desna is a major river in Russia and Ukraine that flows southward to join the Dnieper, playing an important role in the region’s hydrology and history.
  • E. Bistrica
    Bistrica is a river that serves as a tributary of the Vrbas River in the Balkans.
  • 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: Vlasina
Triple: [South Morava, majorTributary, Vlasina]
Generated description
Vlasina is a river in southeastern Serbia known for flowing from the Vlasina Lake area and joining the South Morava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vlasina
Target entity description: Vlasina is a river in southeastern Serbia known for flowing from the Vlasina Lake area and joining the South Morava River.
  • A. 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.
  • B. Vodnjese
    Vodnjese is a local dialect of the Istriot language traditionally spoken in and around the town of Vodnjan in Istria.
  • C. Kosava
    Kosava is a small town in western Belarus known for its historic castle and as the birthplace region of Polish national hero Tadeusz Kościuszko.
  • D. Desna
    Desna is a major river in Russia and Ukraine that flows southward to join the Dnieper, playing an important role in the region’s hydrology and history.
  • E. Bistrica
    Bistrica is a river that serves as a tributary of the Vrbas River in the Balkans.
  • 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_6a01c1e360048190a94b9ce8724cb4b7 completed May 11, 2026, 11:47 a.m.
NEDg Description generation batch_6a01c60989d08190839909d7018f48f4 completed May 11, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01c701504c8190ad1979b65cb73336 completed May 11, 2026, 12:09 p.m.
Created at: April 10, 2026, 4:46 a.m.