Triple

T3785697
Position Surface form Disambiguated ID Type / Status
Subject Paul Julius Reuter E85524 entity
Predicate founded P104 FINISHED
Object Reuters E18673 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: Reuters | Statement: [Paul Julius Reuter, founded, Reuters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuters
Context triple: [Paul Julius Reuter, founded, Reuters]
  • A. Reuters chosen
    Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
  • B. Associated Press
    The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
  • C. Reuters Limited
    Reuters Limited is a major international news organization known for providing real-time news, financial data, and information services to media outlets, businesses, and professionals worldwide.
  • D. Republic.com
    Republic.com is a book by legal scholar Cass Sunstein that examines how the internet and personalized media can fragment public discourse and threaten democratic deliberation.
  • E. Agence France-Presse
    Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets worldwide.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04a35448190a57f431ef703b1e1 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:13 p.m.