Triple

T4824127
Position Surface form Disambiguated ID Type / Status
Subject Airborne Forces of the Russian Federation E107780 entity
Predicate shortName P43 FINISHED
Object VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
 E473065 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: VDV | Statement: [Airborne Forces of the Russian Federation, shortName, VDV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VDV
Context triple: [Airborne Forces of the Russian Federation, shortName, VDV]
  • A. VD
    VD is the vehicle registration code for the Swiss canton of Vaud.
  • B. PVV
    PVV is a Dutch right-wing populist political party led by Geert Wilders, known for its anti-immigration and Eurosceptic positions.
  • C. LDV
    LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
  • D. DCVO
    DCVO is a post-nominal title signifying appointment as a Dame Commander of the Royal Victorian Order, an honor conferred by the British monarch for distinguished personal service.
  • E. SDV
    SDV is the IATA airport code for Sde Dov Airport, the former domestic airport that served Tel Aviv, Israel.
  • 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: VDV
Triple: [Airborne Forces of the Russian Federation, shortName, VDV]
Generated description
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VDV
Target entity description: VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • A. VD
    VD is the vehicle registration code for the Swiss canton of Vaud.
  • B. PVV
    PVV is a Dutch right-wing populist political party led by Geert Wilders, known for its anti-immigration and Eurosceptic positions.
  • C. LDV
    LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
  • D. DCVO
    DCVO is a post-nominal title signifying appointment as a Dame Commander of the Royal Victorian Order, an honor conferred by the British monarch for distinguished personal service.
  • E. SDV
    SDV is the IATA airport code for Sde Dov Airport, the former domestic airport that served Tel Aviv, Israel.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cac2bd08190b3f7cfe691fed052 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc6ddcc8190903c0737476bbe36 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4fd6581881908ce99ed0e531504d completed March 21, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69be5037528881909e17870b7d01fa1f completed March 21, 2026, 8 a.m.
Created at: March 20, 2026, 1:24 p.m.