Triple

T5270907
Position Surface form Disambiguated ID Type / Status
Subject Imatra E119253 entity
Predicate hasTwinTown P919 FINISHED
Object Zvolen E290995 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: Zvolen | Statement: [Imatra, hasTwinTown, Zvolen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zvolen
Context triple: [Imatra, hasTwinTown, Zvolen]
  • A. Zvolen chosen
    Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
  • B. Vác
    Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
  • C. Námestovo
    Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
  • D. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • E. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe9691608190bae0865f80e23062 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.