Triple

T22254821
Position Surface form Disambiguated ID Type / Status
Subject Ilava E550070 entity
Predicate locatedIn P40 FINISHED
Object Trenčín Region 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: Trenčín Region | Statement: [Ilava, locatedIn, Trenčín Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenčín Region
Context triple: [Ilava, locatedIn, Trenčín Region]
  • A. Trenčín Region chosen
    Trenčín Region is an administrative region in western Slovakia known for its historic towns, including the city of Trenčín, and its cultural and economic significance.
  • B. Žilina Region
    Žilina Region is an administrative region in northern Slovakia known for its mountainous landscapes, cultural heritage, and important industrial and transport centers.
  • C. Trnava Region
    Trnava Region is an administrative region in western Slovakia known for its historic towns, agricultural landscape, and proximity to the capital, Bratislava.
  • D. 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.
  • E. Komárno Region
    The Komárno Region is an area in southwestern Slovakia known for its location at the confluence of major rivers and its historical role as a strategic border and trade region.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c1d70881908df47b0f818c0022 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.