Triple

T4997093
Position Surface form Disambiguated ID Type / Status
Subject Hauke E112274 entity
Predicate languageOfUse P237 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: [Hauke, languageOfUse, Low German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low German
Context triple: [Hauke, languageOfUse, 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72a130708190b9bc1393ba78bfb1 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a3489f08190a338de8d8be09813 completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.