Triple

T4780831
Position Surface form Disambiguated ID Type / Status
Subject Venera missions E106159 entity
Predicate spacecraftSeries P41743 FINISHED
Object Venera 15
Venera 15 was a Soviet spacecraft launched in 1983 that orbited Venus to conduct detailed radar mapping of the planet’s northern hemisphere.
E497611 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 15 | Statement: [Venera missions, spacecraftSeries, Venera 15]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera 15
Context triple: [Venera missions, spacecraftSeries, Venera 15]
  • A. Venera 14
    Venera 14 was a Soviet space probe launched in 1981 that successfully landed on Venus, conducting experiments and transmitting data and images from the planet’s surface.
  • B. 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.
  • C. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • D. 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.
  • 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 15
Triple: [Venera missions, spacecraftSeries, Venera 15]
Generated description
Venera 15 was a Soviet spacecraft launched in 1983 that orbited Venus to conduct detailed radar mapping of the planet’s northern hemisphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Venera 15
Target entity description: Venera 15 was a Soviet spacecraft launched in 1983 that orbited Venus to conduct detailed radar mapping of the planet’s northern hemisphere.
  • A. Venera 14
    Venera 14 was a Soviet space probe launched in 1981 that successfully landed on Venus, conducting experiments and transmitting data and images from the planet’s surface.
  • B. 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.
  • C. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • D. 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.
  • 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_69becf98d9cc8190a06d87027dec5680 completed March 21, 2026, 5:04 p.m.
NEDg Description generation batch_69bed266e9b481908a463e94da5604fd completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:21 p.m.