Triple

T15884937
Position Surface form Disambiguated ID Type / Status
Subject Morava river system E385167 entity
Predicate majorRiver P165 FINISHED
Object Veternica
Veternica is a river in Serbia that forms part of the Morava river basin.
 E1202077 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: Veternica | Statement: [Morava river system, majorRiver, Veternica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veternica
Context triple: [Morava river system, majorRiver, Veternica]
  • A. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • E. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity 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: Veternica
Triple: [Morava river system, majorRiver, Veternica]
Generated description
Veternica is a river in Serbia that forms part of the Morava river basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veternica
Target entity description: Veternica is a river in Serbia that forms part of the Morava river basin.
  • A. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • E. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec1091c8190a8e4c4db6180129a completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0010b8f1188190bb0dc151a754edb9 completed May 10, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0011145e2081909b0486e29e6d3e02 completed May 10, 2026, 5:01 a.m.
Created at: April 10, 2026, 4:51 a.m.