Triple

T4652753
Position Surface form Disambiguated ID Type / Status
Subject Kežmarok E102333 entity
Predicate hasTwinTown P919 FINISHED
Object Bardejov E164701 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: Bardejov | Statement: [Kežmarok, hasTwinTown, Bardejov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardejov
Context triple: [Kežmarok, hasTwinTown, Bardejov]
  • A. Bardejov chosen
    Bardejov is a historic town in northeastern Slovakia renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
  • B. Karlovy Vary
    Karlovy Vary is a renowned spa town in the western Czech Republic, famous for its hot springs, grand colonnades, and international film festival.
  • C. Pamporovo
    Pamporovo is a popular Bulgarian ski resort town known for its sunny weather, gentle slopes, and location in the scenic Rhodope Mountains.
  • D. Šamorín
    Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
  • E. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaeb1ee081909ef641953bdf8df3 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.