Triple

T13086193
Position Surface form Disambiguated ID Type / Status
Subject Soviet military-industrial commission E310342 entity
Predicate shortName P43 FINISHED
Object VPK
VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
 E1021130 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: VPK | Statement: [Soviet military-industrial commission, shortName, VPK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VPK
Context triple: [Soviet military-industrial commission, shortName, VPK]
  • A. VPZ
    VPZ is the IATA airport code for Porter County Regional Airport serving Valparaiso, Indiana.
  • B. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
  • C. PVO
    PVO is a political party known by the Czech abbreviation for "Party of Civic Rights."
  • D. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • E. 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.
  • 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: VPK
Triple: [Soviet military-industrial commission, shortName, VPK]
Generated description
VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VPK
Target entity description: VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
  • A. VPZ
    VPZ is the IATA airport code for Porter County Regional Airport serving Valparaiso, Indiana.
  • B. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
  • C. PVO
    PVO is a political party known by the Czech abbreviation for "Party of Civic Rights."
  • D. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • E. 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.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 9, 2026, 9:02 p.m.