Triple

T13353095
Position Surface form Disambiguated ID Type / Status
Subject Poloniny National Park E318117 entity
Predicate locatedIn P40 FINISHED
Object Prešov Region E130151 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: Prešov Region | Statement: [Poloniny National Park, locatedIn, Prešov Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prešov Region
Context triple: [Poloniny National Park, locatedIn, Prešov Region]
  • A. Prešov Region chosen
    The Prešov Region is an administrative region in northeastern Slovakia known for its mountainous landscapes, historic towns, and proximity to the High Tatras.
  • 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. Banská Bystrica region
    The Banská Bystrica region is a central Slovak area historically known as a key stronghold and focal point of anti-Nazi resistance during World War II.
  • E. Trenčín Region
    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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677935408190a28af4cd34d82aa4 completed May 9, 2026, 4:57 p.m.
Created at: April 9, 2026, 9:32 p.m.