Triple

T4780829
Position Surface form Disambiguated ID Type / Status
Subject Venera missions E106159 entity
Predicate spacecraftSeries P41743 FINISHED
Object Venera 13
Venera 13 was a Soviet space probe that successfully landed on Venus in 1982, transmitting the first color images and extensive data from the planet’s surface.
 E494365 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: Venera 13 | Statement: [Venera missions, spacecraftSeries, Venera 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Venera 13
Context triple: [Venera missions, spacecraftSeries, Venera 13]
  • A. Venera 12
    Venera 12 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
  • B. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • C. Venera 11
    Venera 11 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
  • D. Venera 8
    Venera 8 was a Soviet space probe that successfully landed on Venus in 1972 and transmitted data from its surface, contributing significantly to early Venus exploration.
  • E. Venera 10
    Venera 10 was a Soviet space probe that successfully orbited Venus and transmitted data from its surface as part of the USSR’s pioneering Venera program.
  • 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: Venera 13
Triple: [Venera missions, spacecraftSeries, Venera 13]
Generated description
Venera 13 was a Soviet space probe that successfully landed on Venus in 1982, transmitting the first color images and extensive data from the planet’s surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Venera 13
Target entity description: Venera 13 was a Soviet space probe that successfully landed on Venus in 1982, transmitting the first color images and extensive data from the planet’s surface.
  • A. Venera 12
    Venera 12 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
  • B. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • C. Venera 11
    Venera 11 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
  • D. Venera 8
    Venera 8 was a Soviet space probe that successfully landed on Venus in 1972 and transmitted data from its surface, contributing significantly to early Venus exploration.
  • E. Venera 10
    Venera 10 was a Soviet space probe that successfully orbited Venus and transmitted data from its surface as part of the USSR’s pioneering Venera program.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c40b3c881909be9fd9ee892993b completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba49cac08190aa083ebeb52004eb completed March 21, 2026, 3:33 p.m.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:21 p.m.