Triple

T19753723
Position Surface form Disambiguated ID Type / Status
Subject Igor Luther E474450 entity
Predicate placeOfBirth P1 FINISHED
Object Banská Štiavnica E949779 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: Banská Štiavnica | Statement: [Igor Luther, placeOfBirth, Banská Štiavnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banská Štiavnica
Context triple: [Igor Luther, placeOfBirth, Banská Štiavnica]
  • A. Banská Štiavnica chosen
    Banská Štiavnica is a historic Slovak mining town and UNESCO World Heritage Site known for its well-preserved medieval and Renaissance architecture and rich mining heritage.
  • B. Banská Belá
    Banská Belá is a historic village in central Slovakia known for its long-standing association with the region’s mining industry.
  • C. Piešťany
    Piešťany is a Slovak spa town renowned for its thermal springs and health resorts, located on the Váh River.
  • 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. Púchov
    Púchov is a town in northwestern Slovakia known for its industrial production and location on the Váh River.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0826f376788190b5d9151956f9dc83 completed May 16, 2026, 8:12 a.m.
Created at: April 10, 2026, 1:48 p.m.