Triple

T13894907
Position Surface form Disambiguated ID Type / Status
Subject Yahoo mobile apps E334062 entity
Predicate includes P1393 FINISHED
Object Yahoo News mobile app E66256 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: Yahoo News mobile app | Statement: [Yahoo mobile apps, includes, Yahoo News mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahoo News mobile app
Context triple: [Yahoo mobile apps, includes, Yahoo News mobile app]
  • A. Yahoo News chosen
    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.
  • B. Google News
    Google News is a news aggregation service by Google that compiles and personalizes headlines and articles from thousands of publishers worldwide.
  • 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. 5 News
    5 News is the national news service for the UK television channel Channel 5, providing daily news coverage and current affairs 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71eb1808190b0a3a28a8011e9c7 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.