Triple

T21280392
Position Surface form Disambiguated ID Type / Status
Subject Dillingen an der Donau E524504 entity
Predicate twinTown P1072 FINISHED
Object Crailsheim 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: Crailsheim | Statement: [Dillingen an der Donau, twinTown, Crailsheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crailsheim
Context triple: [Dillingen an der Donau, twinTown, Crailsheim]
  • A. Crailsheim chosen
    Crailsheim is a town in the German state of Baden-Württemberg, known for its historical center and post-war reconstruction after heavy World War II damage.
  • B. Schelklingen
    Schelklingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its picturesque setting near the Swabian Jura.
  • C. Königsheim
    Königsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
  • D. Henschhausen
    Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
  • E. Weissach
    Weissach is a municipality in the German state of Baden-Württemberg, known especially for hosting Porsche’s main research and development center and test track.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d186988190a5b16fcb669ece9f completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.