Triple

T2570335
Position Surface form Disambiguated ID Type / Status
Subject Swiss Germans E57649 entity
Predicate dialect P1762 FINISHED
Object Bernese German 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: Bernese German | Statement: [Swiss Germans, dialect, Bernese German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernese German
Context triple: [Swiss Germans, dialect, Bernese German]
  • A. Swiss Germans
    Swiss Germans are a German-speaking ethnic subgroup primarily inhabiting the German-speaking regions of Switzerland, distinguished by their Alemannic dialects and Swiss cultural identity.
  • B. Alemannic German chosen
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • C. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • D. Romandy
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • E. German-speaking Switzerland
    German-speaking Switzerland is the predominantly German-language region of Switzerland, encompassing major cities like Zurich and forming the country's largest linguistic and cultural 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af656d7dec81909ea0aae4506cf4e3 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.