Triple

T17619597
Position Surface form Disambiguated ID Type / Status
Subject Ivan Gašparovič E429672 entity
Predicate birthPlace P1 FINISHED
Object Poltár NE NERFINISHED

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: Poltár | Statement: [Ivan Gašparovič, birthPlace, Poltár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poltár
Context triple: [Ivan Gašparovič, birthPlace, Poltár]
  • A. Poltár chosen
    Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
  • B. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • C. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • D. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • E. Plachy
    Plachy is the surname of Sylvia Plachy, a renowned Hungarian-American photographer known for her distinctive and poetic documentary images.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.