Triple

T21375791
Position Surface form Disambiguated ID Type / Status
Subject Třebíč E527197 entity
Predicate hasTwinTown P919 FINISHED
Object Vrbové 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: Vrbové | Statement: [Třebíč, hasTwinTown, Vrbové]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrbové
Context triple: [Třebíč, hasTwinTown, Vrbové]
  • A. Vrbové chosen
    Vrbové is a small historic town in western Slovakia known for its distinctive leaning church tower and location within the Trnava administrative region.
  • B. Vrbo
    Vrbo is a vacation rental marketplace that connects travelers with owners and property managers offering homes, condos, cabins, and other short-term lodging options worldwide.
  • C. Vofan
    Vofan is a Taiwanese illustrator best known for his distinctive, colorful character art and cover illustrations for Nisio Isin’s Monogatari light novel series.
  • D. Vacano
    Vacano is the surname of Jost Vacano, a renowned German cinematographer best known for his work on films such as "Das Boot" and "Total Recall."
  • E. Jistebnice
    Jistebnice is a small historic town in the South Bohemian Region of the Czech Republic, known for its preserved architecture and picturesque rural surroundings.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bb031988190ae587730a2131a50 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:11 p.m.