Triple

T15295277
Position Surface form Disambiguated ID Type / Status
Subject Mura E365637 entity
Predicate hasLeftTributary P415 FINISHED
Object Ščavnica
Ščavnica is a river in northeastern Slovenia that flows through the Slovene Hills and Prekmurje region before joining the Mura River.
E1149079 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: Ščavnica | Statement: [Mura, hasLeftTributary, Ščavnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ščavnica
Context triple: [Mura, hasLeftTributary, Ščavnica]
  • A. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • B. Sremčica
    Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • C. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Vrčeň
    Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
  • 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: Ščavnica
Triple: [Mura, hasLeftTributary, Ščavnica]
Generated description
Ščavnica is a river in northeastern Slovenia that flows through the Slovene Hills and Prekmurje region before joining the Mura River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ščavnica
Target entity description: Ščavnica is a river in northeastern Slovenia that flows through the Slovene Hills and Prekmurje region before joining the Mura River.
  • A. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • B. Sremčica
    Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • C. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Vrčeň
    Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef81058c8190aec7c7ad9a68f569 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef36488e081909be34cf781af91ea completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:15 a.m.