Triple

T12807673
Position Surface form Disambiguated ID Type / Status
Subject Luna spacecraft E306186 entity
Predicate hasPart P35 FINISHED
Object Luna 17 E321813 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 17 | Statement: [Luna spacecraft, hasPart, Luna 17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luna 17
Context triple: [Luna spacecraft, hasPart, Luna 17]
  • A. Luna 17 chosen
    Luna 17 was a Soviet lunar mission launched in 1970 that successfully delivered the Lunokhod 1 rover to the Moon, achieving the first remote-controlled rover operation on another celestial body.
  • B. Luna 16
    Luna 16 was a Soviet robotic spacecraft that achieved the first successful uncrewed lunar sample return mission from the Moon to Earth in 1970.
  • C. Luna 15
    Luna 15 was a Soviet unmanned lunar probe launched in 1969 that attempted to return samples from the Moon but crashed during its descent.
  • 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 12
    Luna 12 was a Soviet unmanned spacecraft launched in 1966 that successfully entered lunar orbit and returned detailed photographs of the Moon’s surface.
  • 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_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:31 p.m.