Triple

T20333036
Position Surface form Disambiguated ID Type / Status
Subject RT International E492530 entity
Predicate originallyLaunchedAs P21112 FINISHED
Object Russia Today 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: Russia Today | Statement: [RT International, originallyLaunchedAs, Russia Today]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia Today
Context triple: [RT International, originallyLaunchedAs, Russia Today]
  • A. Russia Today chosen
    Russia Today, commonly known as RT, is a Russian state-funded international television network and online media outlet that broadcasts news and commentary from a pro-Kremlin perspective.
  • B. Russia-1
    Russia-1 is a leading Russian state-owned television channel known for its nationwide reach and pro-government news and entertainment programming.
  • C. Russian state television
    Russian state television is the network of state-controlled TV channels in Russia that serve as the government’s primary tool for nationwide news, information, and political messaging.
  • D. Deutsche Welle
    Deutsche Welle is Germany’s international public broadcaster, providing news and information in multiple languages via television, radio, and online platforms worldwide.
  • E. TASS
    TASS is a tilting train authorization and speed supervision system used to control and optimize the operation of high-speed tilting trains such as the British Rail Class 390.
  • 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_69e677e94e2481908898e0a3513e1209 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.