Triple

T18893621
Position Surface form Disambiguated ID Type / Status
Subject Považie economic region E462154 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Vrútky 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: Vrútky | Statement: [Považie economic region, hasUrbanCenter, Vrútky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrútky
Context triple: [Považie economic region, hasUrbanCenter, Vrútky]
  • A. Vrútky chosen
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • B. Vráble
    Vráble is a small town in western Slovakia known for its agricultural surroundings and location near the city of Nitra.
  • C. Srdiečko
    Srdiečko is a mountain area and ski resort base in the Low Tatras of Slovakia, serving as an access point to the Chopok ski region.
  • D. Šeteniai
    Šeteniai is a small village in central Lithuania best known as the birthplace of Nobel Prize–winning poet and writer Czesław Miłosz.
  • E. Zviadauri
    Zviadauri is the noble and tragic hero of Vazha-Pshavela’s Georgian epic poem "The Host and the Guest," embodying themes of honor, hospitality, and moral courage.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.