Triple

T20047950
Position Surface form Disambiguated ID Type / Status
Subject Venera 15 E497611 entity
Predicate missionPartner P24776 FINISHED
Object Venera 16 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 16 | Statement: [Venera 15, missionPartner, Venera 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera 16
Context triple: [Venera 15, missionPartner, Venera 16]
  • A. Venera 16 chosen
    Venera 16 was a Soviet spacecraft launched in 1983 that, together with Venera 15, conducted detailed radar mapping of Venus’s northern hemisphere.
  • 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 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.
  • 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 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632c085081908710cbc939ac9971 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.