Triple

T7293113
Position Surface form Disambiguated ID Type / Status
Subject Mödling E164446 entity
Predicate hasTwinTown P919 FINISHED
Object Vsetín E586929 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: Vsetín | Statement: [Mödling, hasTwinTown, Vsetín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vsetín
Context triple: [Mödling, hasTwinTown, Vsetín]
  • A. Vsetín chosen
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • B. Přerov
    Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
  • C. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • D. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • E. Bruntál
    Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6fc5788190b1b339d051f93c22 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eedfa4d08190997a692b81309309 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3 p.m.