Triple

T12181430
Position Surface form Disambiguated ID Type / Status
Subject Russian Aerospace Forces E290228 entity
Predicate shortName P43 FINISHED
Object VKS
VKS is the abbreviation commonly used for the Russian Aerospace Forces, the branch of Russia’s armed forces responsible for air and space operations.
 E968303 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: VKS | Statement: [Russian Aerospace Forces, shortName, VKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VKS
Context triple: [Russian Aerospace Forces, shortName, VKS]
  • A. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • B. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
  • C. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • D. VKO
    VKO is the IATA airport code for Vnukovo International Airport, one of Moscow’s major international airports in Russia.
  • E. ViX
    ViX is a Spanish-language streaming service offering a wide range of movies, series, sports, and original content primarily for Hispanic audiences.
  • 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: VKS
Triple: [Russian Aerospace Forces, shortName, VKS]
Generated description
VKS is the abbreviation commonly used for the Russian Aerospace Forces, the branch of Russia’s armed forces responsible for air and space operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VKS
Target entity description: VKS is the abbreviation commonly used for the Russian Aerospace Forces, the branch of Russia’s armed forces responsible for air and space operations.
  • A. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • B. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
  • C. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • D. VKO
    VKO is the IATA airport code for Vnukovo International Airport, one of Moscow’s major international airports in Russia.
  • E. ViX
    ViX is a Spanish-language streaming service offering a wide range of movies, series, sports, and original content primarily for Hispanic audiences.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:50 p.m.