Triple

T10172336
Position Surface form Disambiguated ID Type / Status
Subject Baden District E235360 entity
Predicate contains P35 FINISHED
Object Weissenbach an der Triesting E777417 NE FINISHED

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: Weissenbach an der Triesting | Statement: [Baden District, contains, Weissenbach an der Triesting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weissenbach an der Triesting
Context triple: [Baden District, contains, Weissenbach an der Triesting]
  • A. Weissenbach an der Triesting chosen
    Weissenbach an der Triesting is a small municipality in Lower Austria situated along the Triesting River within the Baden district.
  • B. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • C. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • D. Niederwerrn
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • E. Weißkirchen
    Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30101e3ec819095a587c0dae55f71 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.