Triple

T20095221
Position Surface form Disambiguated ID Type / Status
Subject Venera 14 E496381 entity
Predicate twinMission P102611 FINISHED
Object Venera 13 NE NERFINISHED

How this triple was built (3 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 13 | Statement: [Venera 14, twinMission, Venera 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venera 13
Context triple: [Venera 14, twinMission, Venera 13]
  • A. Venera 13 chosen
    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.
  • B. Venera 16
    Venera 16 was a Soviet spacecraft launched in 1983 that, together with Venera 15, conducted detailed radar mapping of Venus’s northern hemisphere.
  • C. 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.
  • D. 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.
  • E. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: twinMission
Context triple: [Venera 14, twinMission, Venera 13]
  • A. twinType
    Indicates that one entity is classified as a specific type or category of twin in relation to another entity.
  • B. twinning chosen
    Indicates that two entities are paired or linked as twins, typically sharing a formally recognized, parallel, or closely matched relationship.
  • C. tertiaryMission
    Indicates a relationship where an entity has a third-level or lower-priority mission or objective in addition to its primary and secondary missions.
  • D. laterPrimaryMission
    Indicates that one mission occurs after another mission in the sequence of primary missions.
  • E. typeOfMission
    Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
  • F. None of above.

Provenance (3 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666b891c8190b4e4a60b73728771 completed April 20, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69e54cf788188190a46cc49c9ce7617f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:24 p.m.