Triple
T17943060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian state television |
E448632
|
entity |
| Predicate | majorComponent |
P15759
|
FINISHED |
| Object | NTV (Russia) |
—
|
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: NTV (Russia) | Statement: [Russian state television, majorComponent, NTV (Russia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTV (Russia) Context triple: [Russian state television, majorComponent, NTV (Russia)]
-
A.
NTV (Russia)
chosen
NTV (Russia) is a major Russian television channel known for its nationwide broadcasting of news, entertainment, and investigative programs.
-
B.
NTV
NTV is a Turkish television news channel known for its 24-hour news coverage and influential role in Turkey’s media landscape.
-
C.
NTV
NTV is a Chilean public television channel aimed primarily at children and youth, operated by the state broadcaster Televisión Nacional de Chile.
-
D.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
E.
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.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad97611c8190a861467ae51f6c48 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.