Triple

T8108839
Position Surface form Disambiguated ID Type / Status
Subject Artifact E189292 entity
Predicate hasCompetitor P1375 FINISHED
Object Google News E356367 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: Google News | Statement: [Artifact, hasCompetitor, Google News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google News
Context triple: [Artifact, hasCompetitor, Google News]
  • A. Google News chosen
    Google News is a news aggregation service by Google that compiles and personalizes headlines and articles from thousands of publishers worldwide.
  • 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. Newsy
    Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
  • D. Newsy
    Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
  • E. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.