Triple

T4634780
Position Surface form Disambiguated ID Type / Status
Subject Vršič Pass E101502 entity
Predicate nearbyRiver P8567 FINISHED
Object Pišnica
Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
 E456668 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: Pišnica | Statement: [Vršič Pass, nearbyRiver, Pišnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pišnica
Context triple: [Vršič Pass, nearbyRiver, Pišnica]
  • A. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • B. Lepenica
    Lepenica is a river in central Serbia that flows through the city of Kragujevac before joining the Velika Morava.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Pišnica
Triple: [Vršič Pass, nearbyRiver, Pišnica]
Generated description
Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pišnica
Target entity description: Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
  • A. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • B. Lepenica
    Lepenica is a river in central Serbia that flows through the city of Kragujevac before joining the Velika Morava.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5ec8108190aeb1147a67bff057 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac76734819083ef44d346f62b86 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb70b9d48190a32c5cc753c45aab completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc54e194819080b1eb5b9f0dfe9e completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:13 p.m.