Triple

T21907093
Position Surface form Disambiguated ID Type / Status
Subject Karsten Danzmann E540967 entity
Predicate placeOfBirth P1 FINISHED
Object Rotenburg an der Wümme 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: Rotenburg an der Wümme | Statement: [Karsten Danzmann, placeOfBirth, Rotenburg an der Wümme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotenburg an der Wümme
Context triple: [Karsten Danzmann, placeOfBirth, Rotenburg an der Wümme]
  • A. Rotenburg (Wümme) chosen
    Rotenburg (Wümme) is a small town in Lower Saxony, Germany, known for its rural surroundings and role as a local administrative and service center.
  • B. Rotenburg an der Fulda
    Rotenburg an der Fulda is a historic small town in northeastern Hesse, Germany, situated along the Fulda River and known for its well-preserved half-timbered architecture.
  • C. Lehrte
    Lehrte is a town in Lower Saxony, Germany, located east of Hanover and known historically for its railway junction and agricultural surroundings.
  • D. Northeim
    Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
  • E. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d74d388190be58b937c486fa69 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:38 p.m.