Triple

T11486781
Position Surface form Disambiguated ID Type / Status
Subject Remscheid E272299 entity
Predicate hasTwinTown P919 FINISHED
Object Presov E83895 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: Presov | Statement: [Remscheid, hasTwinTown, Presov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presov
Context triple: [Remscheid, hasTwinTown, Presov]
  • A. Prešov chosen
    Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • B. Banská Bystrica
    Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
  • C. Považská Bystrica
    Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
  • D. Nové Mesto nad Váhom
    Nové Mesto nad Váhom is a town in western Slovakia known for its location in the Váh River valley and its regional administrative and economic role.
  • E. Liptovské Sliače
    Liptovské Sliače is a village in the Liptov region of northern Slovakia, known for its traditional architecture and scenic mountainous surroundings.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f3a76288190a83097ef3da8a28f completed May 1, 2026, 5:50 a.m.
Created at: April 8, 2026, 9:36 p.m.