Triple

T17986020
Position Surface form Disambiguated ID Type / Status
Subject Ribčev Laz E430234 entity
Predicate near P350 FINISHED
Object Stara Fužina NE NERFINISHED

How this triple was built (2 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: Stara Fužina | Statement: [Ribčev Laz, near, Stara Fužina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stara Fužina
Context triple: [Ribčev Laz, near, Stara Fužina]
  • A. Stara Fužina chosen
    Stara Fužina is a traditional Alpine village in northwestern Slovenia, known for its scenic setting near Lake Bohinj and its well-preserved rural and cultural heritage.
  • B. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • C. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • D. Klanjec
    Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
  • E. Krupanj
    Krupanj is a small town in western Serbia known for its mountainous surroundings, mining history, and role in World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29b4e808190af06074168169035 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.