Triple

T20168503
Position Surface form Disambiguated ID Type / Status
Subject Venera 12 E491891 entity
Predicate partOf P40 FINISHED
Object Venera program 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 program | Statement: [Venera 12, partOf, Venera program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera program
Context triple: [Venera 12, partOf, Venera program]
  • A. Venera missions chosen
    The Venera missions were a series of Soviet space probes that achieved the first successful landings and transmissions from the surface of Venus, providing groundbreaking data on its atmosphere and geology.
  • B. Venera 1
    Venera 1 was a Soviet interplanetary probe launched in 1961, notable as the first spacecraft to fly by Venus and an early milestone in planetary exploration.
  • C. 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.
  • D. Venera 3
    Venera 3 was a Soviet space probe that became the first human-made object to impact the surface of another planet, Venus, in 1966.
  • E. 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.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.