Triple

T11352672
Position Surface form Disambiguated ID Type / Status
Subject Banská Bystrica Region E268872 entity
Predicate containsCity P294 FINISHED
Object Turčianske Teplice E798322 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: Turčianske Teplice | Statement: [Banská Bystrica Region, containsCity, Turčianske Teplice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turčianske Teplice
Context triple: [Banská Bystrica Region, containsCity, Turčianske Teplice]
  • A. Turčianske Teplice chosen
    Turčianske Teplice is a Slovak spa town renowned for its thermal mineral springs and historic wellness traditions.
  • B. Liptovská Teplička
    Liptovská Teplička is a traditional mountain village in northern Slovakia, known for its distinctive terraced potato fields and well-preserved folk architecture.
  • C. Mariánské Lázně
    Mariánské Lázně is a renowned spa town in the western Czech Republic, famous for its numerous mineral springs, elegant 19th-century architecture, and therapeutic treatments.
  • D. Františkovy Lázně
    Františkovy Lázně is a historic spa town in the Karlovy Vary Region of the Czech Republic, renowned for its mineral springs and neoclassical spa architecture.
  • E. Teplá
    Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.