Triple

T9751481
Position Surface form Disambiguated ID Type / Status
Subject Klaus Groth E236451 entity
Predicate language P15 FINISHED
Object Low German E15027 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: Low German | Statement: [Klaus Groth, language, Low German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low German
Context triple: [Klaus Groth, language, Low German]
  • A. Low German chosen
    Low German is a West Germanic language traditionally spoken in northern Germany and parts of the Netherlands, known for its distinct phonology and vocabulary that set it apart from Standard German.
  • B. Middle Low German
    Middle Low German is a historical West Germanic language used in northern Germany and surrounding regions during the late medieval period, notably serving as the lingua franca of the Hanseatic League.
  • 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. 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.
  • E. Alemannic German
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.