Triple

T21280389
Position Surface form Disambiguated ID Type / Status
Subject Dillingen an der Donau E524504 entity
Predicate twinTown P1072 FINISHED
Object Brand-Erbisdorf 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: Brand-Erbisdorf | Statement: [Dillingen an der Donau, twinTown, Brand-Erbisdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brand-Erbisdorf
Context triple: [Dillingen an der Donau, twinTown, Brand-Erbisdorf]
  • A. Brand-Erbisdorf chosen
    Brand-Erbisdorf is a small mining town in the Free State of Saxony in eastern Germany, historically known for its silver mining industry.
  • B. Basdorf
    Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • C. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • D. Ernsdorf
    Ernsdorf is a small locality in Germany known primarily as the birthplace of industrialist Friedrich Flick.
  • E. Ebernburg
    Ebernburg is a historic castle in Rhineland-Palatinate, Germany, known as a stronghold of the early Reformation and the seat of knight Franz von Sickingen.
  • 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.