Triple

T14966615
Position Surface form Disambiguated ID Type / Status
Subject USA Today E373204 entity
Predicate hasEdition P35 FINISHED
Object USA Today print edition E373204 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: USA Today print edition | Statement: [USA Today, hasEdition, USA Today print edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA Today print edition
Context triple: [USA Today, hasEdition, USA Today print edition]
  • A. USA Today chosen
    USA Today is a widely circulated American daily newspaper known for its concise reporting, colorful design, and national focus.
  • B. National Post
    The National Post is a Canadian English-language daily newspaper known for its national coverage and generally conservative editorial stance.
  • C. The Daily
    The Daily is Statistics Canada’s official online publication that provides timely statistical news, analysis, and key data releases about Canada’s economy, society, and environment.
  • D. Today (British newspaper)
    Today was a pioneering British national newspaper, launched in 1986, best known for being the UK’s first full-colour daily.
  • E. The Washington Times
    The Washington Times is a conservative-leaning daily newspaper based in Washington, D.C., known for its political coverage and commentary.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be122688190b20fe4450786158a completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:47 a.m.