Triple

T11771328
Position Surface form Disambiguated ID Type / Status
Subject Banská Bystrica railway station E279904 entity
Predicate connectsTo P845 FINISHED
Object Fiľakovo E287772 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: Fiľakovo | Statement: [Banská Bystrica railway station, connectsTo, Fiľakovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiľakovo
Context triple: [Banská Bystrica railway station, connectsTo, Fiľakovo]
  • A. Fiľakovo chosen
    Fiľakovo is a small historic town in southern Slovakia known for its medieval castle and multicultural heritage near the Hungarian border.
  • B. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • C. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • D. Levice
    Levice is a town in southern Slovakia known as a regional center with historical architecture and nearby castle ruins.
  • E. Liptovská Lúžna
    Liptovská Lúžna is a village in northern Slovakia, situated in the Liptov region and known for its mountainous surroundings and traditional rural character.
  • 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_69f6f5b196bc8190a643f2b534497476 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:41 p.m.