Triple

T17481559
Position Surface form Disambiguated ID Type / Status
Subject Upper Carniola E425671 entity
Predicate contains P35 FINISHED
Object Kranjska Gora 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: Kranjska Gora | Statement: [Upper Carniola, contains, Kranjska Gora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kranjska Gora
Context triple: [Upper Carniola, contains, Kranjska Gora]
  • A. Kranjska Gora chosen
    Kranjska Gora is a well-known Slovenian alpine resort town famed for skiing, hiking, and World Cup winter sports events.
  • B. Bovec
    Bovec is a small Slovenian town known for its alpine scenery and outdoor adventure tourism, including hiking, skiing, and white-water sports.
  • C. Slovenj Gradec
    Slovenj Gradec is a historic town in northern Slovenia known for its cultural heritage and picturesque Alpine surroundings.
  • D. Brnik
    Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
  • E. Portorož
    Portorož is a popular Slovenian seaside resort town on the Adriatic coast, known for its beaches, spa tourism, and vibrant holiday atmosphere.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.