Triple

T19214952
Position Surface form Disambiguated ID Type / Status
Subject Venera 6 E480456 entity
Predicate followedBy P78 FINISHED
Object Venera 7 NE NERFINISHED

How this triple was built (2 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 7 | Statement: [Venera 6, followedBy, Venera 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera 7
Context triple: [Venera 6, followedBy, Venera 7]
  • A. Venera 7 chosen
    Venera 7 was a Soviet spacecraft notable for being the first human-made probe to successfully land on another planet and transmit data back to Earth, achieving this milestone on Venus in 1970.
  • 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 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.
  • D. Venera 5
    Venera 5 was a Soviet space probe launched in 1969 as part of the Venera program to study the atmosphere and surface conditions of Venus.
  • E. Venera 2
    Venera 2 was a Soviet space probe launched in 1965 as part of the Venera program, intended to conduct a flyby of Venus but lost communication before returning scientific data.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa397c188190b85bcfd9afd8dce6 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.