Triple

T3506206
Position Surface form Disambiguated ID Type / Status
Subject Central Bavarian E74080 entity
Predicate hasDialect P4251 FINISHED
Object Viennese German E17273 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: Viennese German | Statement: [Central Bavarian, hasDialect, Viennese German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viennese German
Context triple: [Central Bavarian, hasDialect, Viennese German]
  • A. Austro-Bavarian German chosen
    Austro-Bavarian German is a major Upper German dialect group spoken primarily in Austria and parts of Bavaria and South Tyrol, characterized by distinct phonology, vocabulary, and regional varieties.
  • B. Franconian German
    Franconian German is a group of Upper German dialects spoken primarily in the Franconia region of northern Bavaria and adjacent areas of Germany.
  • C. AUSTRIAN
    AUSTRIAN is the radio callsign used by Austrian Airlines, the flag carrier airline of Austria.
  • D. Nuremberg dialect
    The Nuremberg dialect is a regional variety of East Franconian German traditionally spoken in and around the city of Nuremberg in Bavaria.
  • E. South Franconian German
    South Franconian German is a regional Upper German dialect spoken primarily in parts of southwestern Germany, notably around the northern Baden-Württemberg area.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf52bd8819085a2ac5f48cc5c68 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e0dc7881909af631182970d132 completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.