Triple

T21280373
Position Surface form Disambiguated ID Type / Status
Subject Dillingen an der Donau E524504 entity
Predicate hasSubdivision P747 FINISHED
Object Dillingen 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: Dillingen | Statement: [Dillingen an der Donau, hasSubdivision, Dillingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dillingen
Context triple: [Dillingen an der Donau, hasSubdivision, Dillingen]
  • A. Dillingen an der Donau chosen
    Dillingen an der Donau is a historic town and district capital in Bavarian Swabia, Germany, situated on the Danube River and known for its former role as a university and residence of the Prince-Bishops of Augsburg.
  • B. Haundorf
    Haundorf is a small municipality in the Weißenburg-Gunzenhausen district of Bavaria in southern Germany.
  • 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. Odelzhausen
    Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
  • E. Aschaffenburg
    Aschaffenburg is a historic Bavarian city in Germany known for its riverside setting on the Main, its prominent Schloss Johannisburg castle, and its role as a regional cultural and economic center.
  • 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.