Triple

T12807665
Position Surface form Disambiguated ID Type / Status
Subject Luna spacecraft E306186 entity
Predicate hasPart P35 FINISHED
Object Luna 9 E151829 NE FINISHED

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 9 | Statement: [Luna spacecraft, hasPart, Luna 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luna 9
Context triple: [Luna spacecraft, hasPart, Luna 9]
  • A. Luna 9 chosen
    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.
  • 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 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.
  • D. Luna 1
    Luna 1 was a Soviet spacecraft launched in 1959 that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • E. Luna 5
    Luna 5 was a Soviet unmanned spacecraft from the 1960s Luna program, launched in an attempt to achieve a soft landing on the Moon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a18790c8190afea8f946712987c completed May 3, 2026, 8:40 a.m.
Created at: April 9, 2026, 5:31 p.m.