Triple

T15729115
Position Surface form Disambiguated ID Type / Status
Subject South Morava E381293 entity
Predicate sourceConstituent P409 FINISHED
Object Preševska Moravica
Preševska Moravica is a river in southern Serbia that forms one of the headwaters of the South Morava.
E1174973 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: Preševska Moravica | Statement: [South Morava, sourceConstituent, Preševska Moravica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preševska Moravica
Context triple: [South Morava, sourceConstituent, Preševska Moravica]
  • A. South Morava
    South Morava is a major river in southeastern Serbia that flows northward through the Morava Valley and serves as one of the principal tributaries forming the Velika Morava.
  • B. West Morava
    West Morava is a major river in central Serbia that serves as one of the two principal headwaters of the Velika Morava.
  • C. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • D. Ravni Žakan
    Ravni Žakan is one of the islands within Croatia’s Kornati National Park, known for its rugged coastline and clear Adriatic waters.
  • E. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • 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: Preševska Moravica
Triple: [South Morava, sourceConstituent, Preševska Moravica]
Generated description
Preševska Moravica is a river in southern Serbia that forms one of the headwaters of the South Morava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Preševska Moravica
Target entity description: Preševska Moravica is a river in southern Serbia that forms one of the headwaters of the South Morava.
  • A. South Morava
    South Morava is a major river in southeastern Serbia that flows northward through the Morava Valley and serves as one of the principal tributaries forming the Velika Morava.
  • B. West Morava
    West Morava is a major river in central Serbia that serves as one of the two principal headwaters of the Velika Morava.
  • C. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • D. Ravni Žakan
    Ravni Žakan is one of the islands within Croatia’s Kornati National Park, known for its rugged coastline and clear Adriatic waters.
  • E. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • 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_69e142df48e8819083a48d3b7b3f7f5d completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff881731ac8190baa3cea2c9b7975b completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:46 a.m.