Triple

T19731952
Position Surface form Disambiguated ID Type / Status
Subject Venera 3 E473875 entity
Predicate programSuccessor P110603 FINISHED
Object Venera 4 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 4 | Statement: [Venera 3, programSuccessor, Venera 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera 4
Context triple: [Venera 3, programSuccessor, Venera 4]
  • A. Venera 4 chosen
    Venera 4 was a Soviet space probe that became the first spacecraft to successfully enter another planet’s atmosphere and transmit in-situ data, specifically from Venus, in 1967.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fd18148190a6e85b2be0069dde completed April 20, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:47 p.m.