Triple

T2892946
Position Surface form Disambiguated ID Type / Status
Subject Bytča E63869 entity
Predicate locatedIn P40 FINISHED
Object Žilina Region E227080 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: Žilina Region | Statement: [Bytča, locatedIn, Žilina Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Žilina Region
Context triple: [Bytča, locatedIn, Žilina Region]
  • A. Žilina Region chosen
    Žilina Region is an administrative region in northern Slovakia known for its mountainous landscapes, cultural heritage, and important industrial and transport centers.
  • B. Trnava Region
    Trnava Region is an administrative region in western Slovakia known for its historic towns, agricultural landscape, and proximity to the capital, Bratislava.
  • C. Košice Region
    Košice Region is an administrative region in eastern Slovakia that includes the city of Košice as its largest urban center.
  • D. Zlín Region
    The Zlín Region is an administrative region in the eastern part of the Czech Republic, known for its industrial heritage, especially the Baťa shoe company, and its mix of urban centers and rural, hilly landscapes.
  • E. Prešov Region
    The Prešov Region is an administrative region in northeastern Slovakia known for its mountainous landscapes, historic towns, and proximity to the High Tatras.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc5925a481908e89f51ad4056708 completed March 11, 2026, 5:23 a.m.
Created at: March 6, 2026, 10:07 p.m.