Triple

T20447086
Position Surface form Disambiguated ID Type / Status
Subject Bratislava IV District E501544 entity
Predicate contains P35 FINISHED
Object Karlova Ves 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: Karlova Ves | Statement: [Bratislava IV District, contains, Karlova Ves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlova Ves
Context triple: [Bratislava IV District, contains, Karlova Ves]
  • A. Karlova Ves chosen
    Karlova Ves is a borough of Bratislava, Slovakia, known for its residential areas, university campus, and proximity to the Danube River and surrounding greenery.
  • B. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • C. Kavečany
    Kavečany is a borough of Košice in eastern Slovakia, known for its hilly landscape, recreational areas, and proximity to major attractions like the Košice Zoo and ski facilities.
  • D. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • E. Vrbovsko
    Vrbovsko is a small town in western Croatia known for its mountainous landscape and position along key road and rail routes between Zagreb and the coast.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfe57a8819094bd3d324bd567f5 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.