Triple

T11714467
Position Surface form Disambiguated ID Type / Status
Subject SNP Square E278455 entity
Predicate governingBody P46 FINISHED
Object City of Banská Bystrica E57343 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: City of Banská Bystrica | Statement: [SNP Square, governingBody, City of Banská Bystrica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Banská Bystrica
Context triple: [SNP Square, governingBody, City of Banská Bystrica]
  • A. Považská Bystrica
    Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
  • B. Banská Bystrica chosen
    Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
  • C. Nové Mesto nad Váhom
    Nové Mesto nad Váhom is a town in western Slovakia known for its location in the Váh River valley and its regional administrative and economic role.
  • D. Dunajská Streda
    Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
  • E. Liptovský Hrádok
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0197d03c08190a5515ffe3cc887ea completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.