Triple

T18277149
Position Surface form Disambiguated ID Type / Status
Subject Kalevipoeg E437764 entity
Predicate hasTranslation P2303 FINISHED
Object German NE NERFINISHED

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: German | Statement: [Kalevipoeg, hasTranslation, German]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German
Context triple: [Kalevipoeg, hasTranslation, German]
  • A. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • B. 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.
  • C. Deutsche
    Deutsche is a German term meaning "German," commonly used in the names of German institutions, companies, and cultural entities.
  • D. Deutsch
    Deutsch is a surname of German origin borne by numerous individuals across various fields, including arts, sciences, and public life.
  • E. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.