Triple

T20332969
Position Surface form Disambiguated ID Type / Status
Subject ANO TV-Novosti E492529 entity
Predicate notableChannel P45103 FINISHED
Object RT International NE NERFINISHED

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: RT International | Statement: [ANO TV-Novosti, notableChannel, RT International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RT International
Context triple: [ANO TV-Novosti, notableChannel, RT International]
  • A. RT International chosen
    RT International is the English-language global news channel of the Russian state-funded media network RT, broadcasting international news and current affairs from a Russian government perspective.
  • B. Internacional
    Internacional is a major Brazilian football club based in Porto Alegre, renowned for its passionate fanbase and multiple national and international titles.
  • C. Internacional
    Internacional is the international news section of the Colombian newspaper El Espectador, covering global events and affairs.
  • D. Internationale
    Internationale is a famous socialist and communist anthem that became a global rallying song for workers’ movements and leftist revolutions.
  • E. CNN International
    CNN International is a global 24-hour news television channel providing international news coverage and analysis to audiences worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e886a08190952b828fedd2a411 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.