Triple

T1735395
Position Surface form Disambiguated ID Type / Status
Subject Wikinews E37908 entity
Predicate hasLanguageEdition P4185 FINISHED
Object German Wikinews E37908 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: German Wikinews | Statement: [Wikinews, hasLanguageEdition, German Wikinews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German Wikinews
Context triple: [Wikinews, hasLanguageEdition, German Wikinews]
  • A. Wikinews chosen
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • B. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • C. Neues Deutschland
    Neues Deutschland is a German daily newspaper that served as the official mouthpiece of East Germany’s ruling Socialist Unity Party and continues today as a left-wing publication.
  • D. German
    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.
  • E. ZDF
    ZDF is Germany’s national public-service television broadcaster, known for producing and co-producing a wide range of news, cultural, and documentary programming.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b008b7881909ac568af010bcf99 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.