Triple

T2851996
Position Surface form Disambiguated ID Type / Status
Subject Leonhard E63113 entity
Predicate usage P79 FINISHED
Object Swiss 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: Swiss German | Statement: [Leonhard, usage, Swiss German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss German
Context triple: [Leonhard, usage, Swiss German]
  • A. Alemannic German chosen
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • B. 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.
  • C. Romandy
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. 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.
  • E. 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.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5ca2648190bd32c6ec4b0dd3b6 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.