Triple

T5181576
Position Surface form Disambiguated ID Type / Status
Subject Bamberg dialect E116932 entity
Predicate closelyRelatedTo P37 FINISHED
Object Fürth 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: Fürth dialect | Statement: [Bamberg dialect, closelyRelatedTo, Fürth dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fürth dialect
Context triple: [Bamberg dialect, closelyRelatedTo, Fürth dialect]
  • A. Banat Swabian dialect
    The Banat Swabian dialect is a regional variety of German historically spoken by ethnic German communities in the Banat region of Central and Eastern Europe.
  • B. Ramsloh dialect
    The Ramsloh dialect is a local variety of Saterland Frisian spoken in and around the village of Ramsloh in Lower Saxony, Germany.
  • C. Walcheren dialect
    The Walcheren dialect is a regional variety of the Zeelandic language spoken on the island of Walcheren in the southwest of the Netherlands, known for its distinctive phonology and vocabulary.
  • D. 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.
  • E. 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.
  • 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.