Triple

T21340730
Position Surface form Disambiguated ID Type / Status
Subject North Bohemia E526182 entity
Predicate hasSpaTown P19664 FINISHED
Object Teplice NE NERFINISHED

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: Teplice | Statement: [North Bohemia, hasSpaTown, Teplice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teplice
Context triple: [North Bohemia, hasSpaTown, Teplice]
  • A. Teplice chosen
    Teplice is a historic spa city in the north of the Czech Republic, renowned for its thermal springs and long tradition of balneotherapy.
  • B. Teplice nad Metují
    Teplice nad Metují is a small town in northeastern Czech Republic known as a gateway to the Adršpach-Teplice rock formations and scenic sandstone landscapes.
  • C. Žatec
    Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
  • D. Opava
    Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
  • E. Dolní Teplice
    Dolní Teplice is a village and administrative part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84dfa04819097dbe21eb40a45ef completed April 22, 2026, 10:51 a.m.
Created at: April 16, 2026, 4:44 p.m.