Triple

T3623333
Position Surface form Disambiguated ID Type / Status
Subject Velika Morava E76777 entity
Predicate tributary P415 FINISHED
Object Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
E373771 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: Jasenica | Statement: [Velika Morava, tributary, Jasenica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasenica
Context triple: [Velika Morava, tributary, Jasenica]
  • A. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • B. Jasenitz
    Jasenitz is a locality in present-day Poland (formerly in Pomerania, Germany) known as the birthplace of East German politician Hans Modrow.
  • C. Smiljan
    Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
  • D. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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: Jasenica
Triple: [Velika Morava, tributary, Jasenica]
Generated description
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jasenica
Target entity description: Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
  • A. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • B. Jasenitz
    Jasenitz is a locality in present-day Poland (formerly in Pomerania, Germany) known as the birthplace of East German politician Hans Modrow.
  • C. Smiljan
    Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
  • D. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43320955c8190910c0f15c80f41f4 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b43705642881909c62b7363a4f3a12 completed March 13, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4379cd04c81909246747bcc357261 completed March 13, 2026, 4:13 p.m.
Created at: March 8, 2026, 3:23 p.m.