Triple

T23333506
Position Surface form Disambiguated ID Type / Status
Subject Aussig an der Elbe E591510 entity
Predicate hasGermanName P1435 FINISHED
Object Aussig an der Elbe 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: Aussig an der Elbe | Statement: [Aussig an der Elbe, hasGermanName, Aussig an der Elbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aussig an der Elbe
Context triple: [Aussig an der Elbe, hasGermanName, Aussig an der Elbe]
  • A. Aussig an der Elbe chosen
    Aussig an der Elbe is the German name for the Czech industrial and port city of Ústí nad Labem, located on the Elbe River in northern Bohemia.
  • B. Löcknitz
    Löcknitz is a river in eastern Germany that flows through Brandenburg and is associated with the town of Erkner.
  • C. Muggendorf
    Muggendorf is a small village in the Franconian Switzerland region of northern Bavaria, Germany, known for its picturesque landscapes, hiking trails, and nearby caves.
  • D. Waier
    Waier is a small island in Australia's Torres Strait, traditionally inhabited by Torres Strait Islander peoples who speak the Meriam Mir language.
  • E. Herzberg (Elster)
    Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197efd98c819083635a2b8440f3eb completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.