Triple

T11771330
Position Surface form Disambiguated ID Type / Status
Subject Banská Bystrica railway station E279904 entity
Predicate connectsTo P845 FINISHED
Object Prievidza E300711 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: Prievidza | Statement: [Banská Bystrica railway station, connectsTo, Prievidza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prievidza
Context triple: [Banská Bystrica railway station, connectsTo, Prievidza]
  • A. Prievidza chosen
    Prievidza is a historic town in central Slovakia known for its proximity to the spa town Bojnice and its role as a regional economic and cultural center.
  • B. Prieska
    Prieska is a small town in South Africa’s Northern Cape province, situated on the banks of the Orange River and serving as a regional agricultural and transport hub.
  • C. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • D. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55c9f988190b203b66a28c767ae completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09086c4ec81908bc8b707a49c3ac2 completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.