Triple

T23158796
Position Surface form Disambiguated ID Type / Status
Subject Kreis Freiberg E578521 entity
Predicate contains P35 FINISHED
Object Dorfchemnitz 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: Dorfchemnitz | Statement: [Kreis Freiberg, contains, Dorfchemnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorfchemnitz
Context triple: [Kreis Freiberg, contains, Dorfchemnitz]
  • A. Dorfchemnitz chosen
    Dorfchemnitz is a small village in Saxony, Germany, best known as the birthplace of the influential 17th-century jurist and natural law philosopher Samuel Pufendorf.
  • B. Crimmitschau
    Crimmitschau is a town in the German state of Saxony, historically known for its textile industry and located within the broader Leipzig metropolitan area.
  • C. Premnitz
    Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
  • D. Hennigsdorf
    Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
  • E. Rathmannsdorf
    Rathmannsdorf is a small municipality in the German state of Saxony, known for its location in the scenic Saxon Switzerland region.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efeddd48190b6d03d2146583dcc completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.