Triple

T16066194
Position Surface form Disambiguated ID Type / Status
Subject Vlkolínec E389736 entity
Predicate governingBody P46 FINISHED
Object municipality of Ružomberok E40882 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: municipality of Ružomberok | Statement: [Vlkolínec, governingBody, municipality of Ružomberok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Ružomberok
Context triple: [Vlkolínec, governingBody, municipality of Ružomberok]
  • A. Ružomberok chosen
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Rožňava District
    Rožňava District is an administrative district in eastern Slovakia known for its historic mining town of Rožňava and its location within the Košice Region.
  • C. Pezinok District
    Pezinok District is an administrative district in western Slovakia known for its wine-producing towns and proximity to the capital, Bratislava.
  • D. Komárno District
    Komárno District is an administrative district in the Nitra Region of southwestern Slovakia, situated along the Danube River near the Hungarian border.
  • E. Trebišov District
    Trebišov District is an administrative district in eastern Slovakia known for its agricultural landscape and location near the Hungarian and Ukrainian borders.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837ca628819081dfc439fe322d58 completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe480d59c8190962ac596a872b5e0 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.