Triple

T7202155
Position Surface form Disambiguated ID Type / Status
Subject Karl Hermann Frank E168773 entity
Predicate placeOfBirth P1 FINISHED
Object Karlsbad E442232 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: Karlsbad | Statement: [Karl Hermann Frank, placeOfBirth, Karlsbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlsbad
Context triple: [Karl Hermann Frank, placeOfBirth, Karlsbad]
  • A. Mariánské Lázně chosen
    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.
  • B. Klatovy
    Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
  • 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. Kroměříž
    Kroměříž is a historic town in the Czech Republic known for its UNESCO-listed Archbishop’s Chateau and Baroque gardens.
  • E. Markranstädt
    Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94a9ee4819086de79fcdfa1836a completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfb0f4688190a677b818a0b3619c completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:52 p.m.