Triple

T20026507
Position Surface form Disambiguated ID Type / Status
Subject BL E494995 entity
Predicate regionName P2356 FINISHED
Object Bratislavský kraj 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: Bratislavský kraj | Statement: [BL, regionName, Bratislavský kraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bratislavský kraj
Context triple: [BL, regionName, Bratislavský kraj]
  • A. Bratislava Region chosen
    Bratislava Region is the westernmost and smallest administrative region of Slovakia, centered on the capital city Bratislava and serving as the country’s main economic and political hub.
  • B. Banskobystrický kraj
    Banskobystrický kraj is a central Slovak administrative region known for its mountainous landscape, historical mining towns, and cultural heritage.
  • C. Trenčín Region
    Trenčín Region is an administrative region in western Slovakia known for its historic towns, including the city of Trenčín, and its cultural and economic significance.
  • D. Košice Region
    Košice Region is an administrative region in eastern Slovakia that includes the city of Košice as its largest urban center.
  • E. Žilina Region
    Žilina Region is an administrative region in northern Slovakia known for its mountainous landscapes, cultural heritage, and important industrial and transport centers.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628e1eec81908e4c9b2b0b68f0e4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.