Triple

T19651735
Position Surface form Disambiguated ID Type / Status
Subject Venera 2 E471830 entity
Predicate spacecraftBus P12569 FINISHED
Object 3MV
3MV was a standardized Soviet interplanetary spacecraft platform used in the 1960s for missions to Venus and Mars.
 E1388784 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: 3MV | Statement: [Venera 2, spacecraftBus, 3MV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 3MV
Context triple: [Venera 2, spacecraftBus, 3MV]
  • A. MVE
    MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
  • B. MVW
    MVW is the IATA airport code for Skagit Regional Airport in Washington State, United States.
  • C. MGV
    MGV is the abbreviation for the Matterhorn Gotthard Verkehrsverbund, a regional public transport association in the Swiss Alps.
  • D. 3mE
    3mE is the Faculty of Mechanical, Maritime and Materials Engineering at Delft University of Technology, known for its research and education in engineering disciplines related to mechanics, shipping, and advanced materials.
  • E. MIV
    MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
  • 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: 3MV
Triple: [Venera 2, spacecraftBus, 3MV]
Generated description
3MV was a standardized Soviet interplanetary spacecraft platform used in the 1960s for missions to Venus and Mars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 3MV
Target entity description: 3MV was a standardized Soviet interplanetary spacecraft platform used in the 1960s for missions to Venus and Mars.
  • A. MVE
    MVE is the station code for Mount Vernon East, a Metro-North Railroad commuter rail station in Mount Vernon, New York.
  • B. MVW
    MVW is the IATA airport code for Skagit Regional Airport in Washington State, United States.
  • C. MGV
    MGV is the abbreviation for the Matterhorn Gotthard Verkehrsverbund, a regional public transport association in the Swiss Alps.
  • D. 3mE
    3mE is the Faculty of Mechanical, Maritime and Materials Engineering at Delft University of Technology, known for its research and education in engineering disciplines related to mechanics, shipping, and advanced materials.
  • E. MIV
    MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64141f61c819098fe148581fb1747 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077eef87108190a3858836dce29341 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fb5d7288190a691e312ec22789b completed May 15, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a07810b1de88190a2516712767fde52 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.