Triple

T5181575
Position Surface form Disambiguated ID Type / Status
Subject Bamberg dialect E116932 entity
Predicate closelyRelatedTo P37 FINISHED
Object Nuremberg dialect E118936 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: Nuremberg dialect | Statement: [Bamberg dialect, closelyRelatedTo, Nuremberg dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuremberg dialect
Context triple: [Bamberg dialect, closelyRelatedTo, Nuremberg dialect]
  • A. Nuremberg dialect chosen
    The Nuremberg dialect is a regional variety of East Franconian German traditionally spoken in and around the city of Nuremberg in Bavaria.
  • B. Bamberg dialect
    The Bamberg dialect is a regional variety of the East Franconian German dialect spoken in and around the city of Bamberg in northern Bavaria.
  • C. Rhenish Franconian
    Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
  • D. 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.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799bc58c819098a8e91e21baaef4 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
Created at: March 20, 2026, 1:45 p.m.