Triple

T457191
Position Surface form Disambiguated ID Type / Status
Subject Germans E7258 entity
Predicate nativeLanguageName P1435 FINISHED
Object Deutsch E9053 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: Deutsch | Statement: [Germans, nativeLanguageName, Deutsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsch
Context triple: [Germans, nativeLanguageName, Deutsch]
  • A. German chosen
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • B. Alemannic German
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • 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. Austro-Bavarian German
    Austro-Bavarian German is a major Upper German dialect group spoken primarily in Austria and parts of Bavaria and South Tyrol, characterized by distinct phonology, vocabulary, and regional varieties.
  • E. Germans
    Germans are a Central European ethnic group primarily associated with Germany, characterized by the German language and a shared cultural and historical heritage.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a452947cd0819084fd885afce26da8 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.