Triple

T12174892
Position Surface form Disambiguated ID Type / Status
Subject Vega E290062 entity
Predicate firstFlightMission P12519 FINISHED
Object VV01
VV01 was the inaugural space mission of the Soviet Vega program, which launched a spacecraft to study Venus and Halley’s Comet in the mid-1980s.
 E963078 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: VV01 | Statement: [Vega, firstFlightMission, VV01]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VV01
Context triple: [Vega, firstFlightMission, VV01]
  • A. VA-01
    VA-01 is the shorthand designation for Virginia's 1st congressional district, a U.S. House of Representatives district covering parts of eastern Virginia.
  • B. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. VVI
    VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
  • D. VVO
    VVO is the three-letter IATA airport code for Vladivostok International Airport in Russia.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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: VV01
Triple: [Vega, firstFlightMission, VV01]
Generated description
VV01 was the inaugural space mission of the Soviet Vega program, which launched a spacecraft to study Venus and Halley’s Comet in the mid-1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VV01
Target entity description: VV01 was the inaugural space mission of the Soviet Vega program, which launched a spacecraft to study Venus and Halley’s Comet in the mid-1980s.
  • A. VA-01
    VA-01 is the shorthand designation for Virginia's 1st congressional district, a U.S. House of Representatives district covering parts of eastern Virginia.
  • B. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. VVI
    VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
  • D. VVO
    VVO is the three-letter IATA airport code for Vladivostok International Airport in Russia.
  • E. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdebe3fc81909a5bb23a943c3c43 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5fef775508190ab3be470821c5a50 completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:50 p.m.