Triple

T2987582
Position Surface form Disambiguated ID Type / Status
Subject Eastern Slovakia E80662 entity
Predicate hasIndustrialCenter P3436 FINISHED
Object Spišská Nová Ves E100688 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: Spišská Nová Ves | Statement: [Eastern Slovakia, hasIndustrialCenter, Spišská Nová Ves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spišská Nová Ves
Context triple: [Eastern Slovakia, hasIndustrialCenter, Spišská Nová Ves]
  • A. Spišská Nová Ves chosen
    Spišská Nová Ves is a town in eastern Slovakia known as a cultural and economic center of the Spiš region and as a gateway to the Slovak Paradise National Park.
  • B. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • C. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • D. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • E. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c88f608190bf734e0b744bf3d1 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373888b948190b84d7bfa908f15ad completed March 13, 2026, 2:16 a.m.
Created at: March 8, 2026, 2:59 p.m.