Triple

T22515433
Position Surface form Disambiguated ID Type / Status
Subject Luna 4 E556633 entity
Predicate precededBy P97 FINISHED
Object Luna 3 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: Luna 3 | Statement: [Luna 4, precededBy, Luna 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luna 3
Context triple: [Luna 4, precededBy, Luna 3]
  • A. Luna 3 chosen
    Luna 3 was a Soviet spacecraft launched in 1959 that became the first mission to photograph the far side of the Moon.
  • B. Luna 2
    Luna 2 was a Soviet space probe that became the first human-made object to reach the Moon, marking a major milestone in early space exploration.
  • C. Luna 4
    Luna 4 was a Soviet Luna program spacecraft launched in 1963 that became the first attempted soft-landing mission to the Moon, though it ultimately missed the lunar surface.
  • D. Luna 9
    Luna 9 was a Soviet spacecraft that achieved the first successful soft landing on the Moon and transmitted the first close-up images of the lunar surface in 1966.
  • E. Luna 7
    Luna 7 was a Soviet unmanned spacecraft from the 1960s designed to achieve a soft landing on the Moon as part of the USSR’s early lunar exploration program.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2cfc908190b3489228a1997f45 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.