Triple

T3147505
Position Surface form Disambiguated ID Type / Status
Subject CNBC E65797 entity
Predicate hasInternationalVersions P7228 FINISHED
Object CNBC Africa E65797 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: CNBC Africa | Statement: [CNBC, hasInternationalVersions, CNBC Africa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNBC Africa
Context triple: [CNBC, hasInternationalVersions, CNBC Africa]
  • A. CNBC chosen
    CNBC is an American business news television channel known for its real-time financial market coverage and economic analysis.
  • B. Bloomberg Television
    Bloomberg Television is a global 24-hour business and financial news television network owned by Bloomberg L.P., known for its real-time market coverage and analysis.
  • C. Bloomberg News
    Bloomberg News is a global financial and business news organization known for its real-time market coverage, data-driven reporting, and multimedia journalism.
  • D. BNN Bloomberg
    BNN Bloomberg is a Canadian specialty television channel and media brand focused on business and financial news, formed through a partnership between Bell Media’s Business News Network and Bloomberg.
  • E. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.