Triple

T20729931
Position Surface form Disambiguated ID Type / Status
Subject Freudenstadt (district) E509545 entity
Predicate hasMunicipality P847 FINISHED
Object Dornstetten NE NERFINISHED

How this triple was built (3 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: Dornstetten | Statement: [Freudenstadt (district), hasMunicipality, Dornstetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dornstetten
Context triple: [Freudenstadt (district), hasMunicipality, Dornstetten]
  • A. Heuchstetten
    Heuchstetten is a village-level subdivision of the municipality of Gerstetten in the German state of Baden-Württemberg.
  • B. Schwanstetten
    Schwanstetten is a municipality in the Roth district of Bavaria, Germany, known for its residential character and proximity to the city of Nuremberg.
  • C. Filderstadt
    Filderstadt is a town in the German state of Baden-Württemberg, situated just south of Stuttgart and known for its proximity to Stuttgart Airport and role as a regional transport hub.
  • D. Weinstadt
    Weinstadt is a town in the German state of Baden-Württemberg, known for its winegrowing tradition in the Rems Valley near Stuttgart.
  • E. Lohfelden
    Lohfelden is a German municipality known as a residential and industrial suburb near the city of Kassel in the state of Hesse.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dornstetten
Target entity description: Dornstetten is a small historic town in Germany’s Black Forest region, known for its well-preserved medieval timber-framed houses and picturesque old town.
  • A. Heuchstetten
    Heuchstetten is a village-level subdivision of the municipality of Gerstetten in the German state of Baden-Württemberg.
  • B. Schwanstetten
    Schwanstetten is a municipality in the Roth district of Bavaria, Germany, known for its residential character and proximity to the city of Nuremberg.
  • C. Filderstadt
    Filderstadt is a town in the German state of Baden-Württemberg, situated just south of Stuttgart and known for its proximity to Stuttgart Airport and role as a regional transport hub.
  • D. Weinstadt
    Weinstadt is a town in the German state of Baden-Württemberg, known for its winegrowing tradition in the Rems Valley near Stuttgart.
  • E. Lohfelden
    Lohfelden is a German municipality known as a residential and industrial suburb near the city of Kassel in the state of Hesse.
  • F. None of above. chosen

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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.