Triple

T22154639
Position Surface form Disambiguated ID Type / Status
Subject Franconians E547502 entity
Predicate language P15 FINISHED
Object South Franconian German NE NERFINISHED

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: South Franconian German | Statement: [Franconians, language, South Franconian German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Franconian German
Context triple: [Franconians, language, South Franconian German]
  • A. South Franconian German chosen
    South Franconian German is a regional Upper German dialect spoken primarily in parts of southwestern Germany, notably around the northern Baden-Württemberg area.
  • 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. Rhenish Franconian
    Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
  • 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. Upper German
    Upper German is a major group of High German dialects spoken primarily in southern Germany, Austria, Switzerland, and parts of neighboring countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.