Triple

T17943068
Position Surface form Disambiguated ID Type / Status
Subject Russian state television E448632 entity
Predicate ownerOrManager P13496 FINISHED
Object VGTRK
VGTRK is Russia’s state-owned national broadcasting company, operating major television and radio networks across the country.
 E1297685 NE FINISHED

How this triple was built (4 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: VGTRK | Statement: [Russian state television, ownerOrManager, VGTRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VGTRK
Context triple: [Russian state television, ownerOrManager, VGTRK]
  • A. VTR
    VTR is the reporting mark used by the Vermont Railway, a regional freight railroad operating primarily in the state of Vermont.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. V-trace
    V-trace is an off-policy actor-critic algorithm for deep reinforcement learning that corrects for discrepancies between behavior and target policies using truncated importance sampling.
  • D. 8TRAX
    8TRAX was a retro-themed nightclub at Walt Disney World’s Pleasure Island that featured 1970s and 1980s music and dance.
  • E. VTZ
    VTZ is the IATA airport code for Visakhapatnam Airport, a major domestic and limited international airport serving the coastal city of Visakhapatnam in Andhra Pradesh, India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VGTRK
Triple: [Russian state television, ownerOrManager, VGTRK]
Generated description
VGTRK is Russia’s state-owned national broadcasting company, operating major television and radio networks across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VGTRK
Target entity description: VGTRK is Russia’s state-owned national broadcasting company, operating major television and radio networks across the country.
  • A. VTR
    VTR is the reporting mark used by the Vermont Railway, a regional freight railroad operating primarily in the state of Vermont.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. V-trace
    V-trace is an off-policy actor-critic algorithm for deep reinforcement learning that corrects for discrepancies between behavior and target policies using truncated importance sampling.
  • D. 8TRAX
    8TRAX was a retro-themed nightclub at Walt Disney World’s Pleasure Island that featured 1970s and 1980s music and dance.
  • E. VTZ
    VTZ is the IATA airport code for Visakhapatnam Airport, a major domestic and limited international airport serving the coastal city of Visakhapatnam in Andhra Pradesh, India.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a032918b0c481908c6bc336c348032d completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a0329fec9808190abda5e23d83791e5 completed May 12, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_6a032baebc1081908637ab12ba35d973 completed May 12, 2026, 1:31 p.m.
Created at: April 10, 2026, 10:21 a.m.