Triple

T6519359
Position Surface form Disambiguated ID Type / Status
Subject German National Library E148341 entity
Predicate catalogLanguage P50222 FINISHED
Object German E9053 NE FINISHED

How this triple was built (3 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: German | Statement: [German National Library, catalogLanguage, German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German
Context triple: [German National Library, catalogLanguage, German]
  • 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. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • C. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • D. Alemannic German
    Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
  • E. Standard German
    Standard German is the standardized variety of the German language used in formal communication, education, media, and official contexts across German-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: catalogLanguage
Context triple: [German National Library, catalogLanguage, German]
  • A. languageOfProduct
    Indicates the language in which a product is written, labeled, presented, or otherwise made available.
  • B. languageLabel chosen
    Indicates the human-readable name or label of a language associated with an entity or resource.
  • C. languageOfBooks
    Indicates the language in which the referenced books are written or published.
  • D. typicalLanguages
    Indicates the languages that are commonly or characteristically used, spoken, or associated with a given entity.
  • E. contentLanguage
    Indicates the language in which the content is expressed or intended to be understood.
  • F. None of above.

Provenance (4 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69c68abbc7148190a8270d47fe10cc31 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:44 p.m.