Triple

T13267334
Position Surface form Disambiguated ID Type / Status
Subject Topľa E315955 entity
Predicate hasNameInLanguage P15 FINISHED
Object Topľa (Slovak) E315955 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: Topľa (Slovak) | Statement: [Topľa, hasNameInLanguage, Topľa (Slovak)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topľa (Slovak)
Context triple: [Topľa, hasNameInLanguage, Topľa (Slovak)]
  • A. Topľa chosen
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava River.
  • B. Slovak Paradise
    Slovak Paradise is a national park in eastern Slovakia renowned for its deep gorges, waterfalls, and extensive network of hiking trails and ladders.
  • C. Třemešné
    Třemešné is a small municipality and village in the Plzeň Region of the Czech Republic.
  • D. Slaná
    Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
  • E. Blatná
    Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4cc20881909b1ca6623e5b1988 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.