Triple

T18471166
Position Surface form Disambiguated ID Type / Status
Subject Seča E451303 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Portorož 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: Portorož | Statement: [Seča, hasNearbyAttraction, Portorož]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portorož
Context triple: [Seča, hasNearbyAttraction, Portorož]
  • A. Portorož chosen
    Portorož is a popular Slovenian seaside resort town on the Adriatic coast, known for its beaches, spa tourism, and vibrant holiday atmosphere.
  • B. Velenje
    Velenje is a modern industrial town in northern Slovenia known for its coal mining heritage, large lakeside recreational area, and one of the largest Tito statues in the world.
  • C. Domžale
    Domžale is a town in central Slovenia known as a suburban and industrial center near the capital, Ljubljana.
  • D. Kranj
    Kranj is a historic industrial city in northwestern Slovenia, known as a regional economic center and gateway to the Slovenian Alps.
  • E. Šempeter pri Gorici
    Šempeter pri Gorici is a small town in western Slovenia near the Italian border, known for its close ties to the city of Nova Gorica and the cross-border Gorizia region.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5305f428c81909980bd30d150e7dd completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.