Triple

T17655274
Position Surface form Disambiguated ID Type / Status
Subject Blansko E429605 entity
Predicate hasTwinTown P919 FINISHED
Object Trstená 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: Trstená | Statement: [Blansko, hasTwinTown, Trstená]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trstená
Context triple: [Blansko, hasTwinTown, Trstená]
  • A. Trstená chosen
    Trstená is a small town in northern Slovakia near the Polish border, known for its proximity to the Orava Reservoir and the Orava region’s natural landscapes.
  • B. Terchová
    Terchová is a Slovak village in the Malá Fatra mountains known as the birthplace of the legendary outlaw Juraj Jánošík and for its rich folk traditions and natural scenery.
  • C. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • D. Bystrá
    Bystrá is a village in central Slovakia known as a gateway to the Low Tatras, popular for hiking, skiing, and access to nearby recreational areas.
  • E. Bystrá
    Bystrá is a prominent peak in the Western Tatras mountain range, known as its highest summit and a popular destination for hikers and mountaineers.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3fc6e8819080098a3cd0183811 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.