Triple

T8301325
Position Surface form Disambiguated ID Type / Status
Subject Japanese Wikinews E194354 entity
Predicate sisterProjectOf P19167 FINISHED
Object Japanese Wikipedia E724572 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: Japanese Wikipedia | Statement: [Japanese Wikinews, sisterProjectOf, Japanese Wikipedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese Wikipedia
Context triple: [Japanese Wikinews, sisterProjectOf, Japanese Wikipedia]
  • A. Japanese Wikipedia chosen
    Japanese Wikipedia is the Japanese-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • B. Japanese Wikiversity
    Japanese Wikiversity is the Japanese-language edition of Wikiversity, a Wikimedia project that provides free educational resources and supports collaborative learning and teaching.
  • C. Japanese Wikinews
    Japanese Wikinews is the Japanese-language edition of the Wikinews project, a collaboratively written, free-content news source.
  • D. Japanese Wikisource
    Japanese Wikisource is the Japanese-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
  • E. Japanese Wikivoyage
    Japanese Wikivoyage is the Japanese-language edition of the Wikivoyage collaborative travel guide project, offering free, user-written information for travelers.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e891030819097f4a26992a8b469 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd953b5fd881909696eb2647dc5f92 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:53 p.m.