Triple

T5855928
Position Surface form Disambiguated ID Type / Status
Subject Prešov Region E130151 entity
Predicate contains P35 FINISHED
Object Šariš region E408396 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: Šariš region | Statement: [Prešov Region, contains, Šariš region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šariš region
Context triple: [Prešov Region, contains, Šariš region]
  • A. Šariš chosen
    Šariš is a historic region in northeastern Slovakia known for its medieval towns, folk traditions, and cultural heritage centered around the city of Prešov.
  • B. Podhale
    Podhale is a mountainous cultural region in southern Poland, known for its distinctive Highlander (Góral) traditions, wooden architecture, and proximity to the Tatra Mountains.
  • C. Southeastern Slovenia
    Southeastern Slovenia is a statistical and historical region of Slovenia known for its rolling hills, vineyards, and the regional center Novo Mesto.
  • D. Pocerina region
    Pocerina region is a geographical area in western Serbia known for its rolling hills, rural landscapes, and proximity to the Mačva lowlands.
  • E. Vysočina Region
    The Vysočina Region is an administrative region in the central part of the Czech Republic, known for its hilly landscape, historic towns, and a mix of agricultural and forested areas.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03555cd6081908b0307decd60d2bc completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfd6cffc8190b65252f02055e89c completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:55 p.m.