Triple

T4058107
Position Surface form Disambiguated ID Type / Status
Subject Liptov E84742 entity
Predicate hasTouristAttraction P530 FINISHED
Object Malinô Brdo ski resort E216842 NE FINISHED

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: Malinô Brdo ski resort | Statement: [Liptov, hasTouristAttraction, Malinô Brdo ski resort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malinô Brdo ski resort
Context triple: [Liptov, hasTouristAttraction, Malinô Brdo ski resort]
  • A. Malinô Brdo ski resort chosen
    Malinô Brdo ski resort is a popular Slovak mountain resort known for its skiing and outdoor recreation, located in the Low Tatras near the town of Ružomberok.
  • B. Tetnuldi ski resort
    Tetnuldi ski resort is a modern ski area in Georgia’s Svaneti region, known for its high-altitude slopes, long runs, and views of the Caucasus Mountains.
  • C. Kranjska Gora
    Kranjska Gora is a well-known Slovenian alpine resort town famed for skiing, hiking, and World Cup winter sports events.
  • D. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • E. Tatranská Lomnica
    Tatranská Lomnica is a popular mountain resort village in the High Tatras known for its skiing, hiking, and scenic alpine landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaefcb081908aab3963dcd61a20 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a6250081908f289f43b066b04d completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.