Triple

T7413801
Position Surface form Disambiguated ID Type / Status
Subject Karawanks E171076 entity
Predicate hasPeak P8205 FINISHED
Object Košutica
Košutica is a mountain peak in the Karawanks range of the Southern Limestone Alps on the border between Slovenia and Austria.
E669598 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: Košutica | Statement: [Karawanks, hasPeak, Košutica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Košutica
Context triple: [Karawanks, hasPeak, Košutica]
  • A. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • B. Sremčica
    Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • C. 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.
  • D. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • 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: Košutica
Triple: [Karawanks, hasPeak, Košutica]
Generated description
Košutica is a mountain peak in the Karawanks range of the Southern Limestone Alps on the border between Slovenia and Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Košutica
Target entity description: Košutica is a mountain peak in the Karawanks range of the Southern Limestone Alps on the border between Slovenia and Austria.
  • A. Konjšica
    Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
  • B. Sremčica
    Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
  • C. 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.
  • D. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c509ac8190876f207267a33a3b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845ecfe988190a981924f5ef49c83 completed March 28, 2026, 9:19 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:11 p.m.