Triple

T2025310
Position Surface form Disambiguated ID Type / Status
Subject Southern Germany E44192 entity
Predicate hasLanguage P15 FINISHED
Object Swabian dialect E17970 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: Swabian dialect | Statement: [Southern Germany, hasLanguage, Swabian dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swabian dialect
Context triple: [Southern Germany, hasLanguage, Swabian dialect]
  • A. Alemannic German chosen
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • B. Nuremberg dialect
    The Nuremberg dialect is a regional variety of East Franconian German traditionally spoken in and around the city of Nuremberg in Bavaria.
  • C. Palatine German
    Palatine German is a West Central German dialect spoken primarily in the Palatinate region of southwestern Germany and parts of the United States, notably among Pennsylvania Dutch communities.
  • D. Rhenish Franconian
    Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
  • E. Ramsloh dialect
    The Ramsloh dialect is a local variety of Saterland Frisian spoken in and around the village of Ramsloh in Lower Saxony, Germany.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afa82ac81908c3e3c60c5721536 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.