Triple

T920887
Position Surface form Disambiguated ID Type / Status
Subject Wikipedia E19879 entity
Predicate hasSisterProject P14971 FINISHED
Object 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: Wikinews | Statement: [Wikipedia, hasSisterProject, Wikinews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikinews
Context triple: [Wikipedia, hasSisterProject, Wikinews]
  • A. Wikinews chosen
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • B. Yahoo News
    Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
  • C. Reuters
    Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
  • D. News International
    News International was a major British newspaper publishing company and subsidiary of Rupert Murdoch’s News Corporation, known for owning titles such as The Times, The Sunday Times, and the now-defunct News of the World.
  • E. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74b789c8190b174f9b17dc46f9e completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:40 p.m.