Triple
T20333093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RT UK |
E492532
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | ANO TV-Novosti |
—
|
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: ANO TV-Novosti | Statement: [RT UK, owner, ANO TV-Novosti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANO TV-Novosti Context triple: [RT UK, owner, ANO TV-Novosti]
-
A.
ANO TV-Novosti
chosen
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
-
B.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
C.
NTV
NTV is a Turkish television news channel known for its 24-hour news coverage and influential role in Turkey’s media landscape.
-
D.
NTV
NTV is a Chilean public television channel aimed primarily at children and youth, operated by the state broadcaster Televisión Nacional de Chile.
-
E.
NT News
NT News is an Australian tabloid newspaper based in the Northern Territory, known for its quirky headlines, local focus, and often humorous coverage of regional news.
- 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.