Triple

T1278434
Position Surface form Disambiguated ID Type / Status
Subject Luna 10 E27267 entity
Predicate precededBy P97 FINISHED
Object 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.
 E151829 NE FINISHED

How this triple was built (4 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 10, precededBy, Luna 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luna 9
Context triple: [Luna 10, precededBy, Luna 9]
  • A. 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.
  • B. 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.
  • C. Luna 3
    Luna 3 was a Soviet spacecraft launched in 1959 that became the first mission to photograph the far side of the Moon.
  • D. Luna 10
    Luna 10 was a Soviet spacecraft that became the first artificial satellite to orbit the Moon, marking a major milestone in early lunar exploration.
  • E. SLIM lunar lander
    The SLIM lunar lander is a Japanese spacecraft designed by JAXA to demonstrate high-precision, lightweight landing technology on the Moon’s surface.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luna 9
Triple: [Luna 10, precededBy, Luna 9]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luna 9
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Luna 3
    Luna 3 was a Soviet spacecraft launched in 1959 that became the first mission to photograph the far side of the Moon.
  • D. Luna 10
    Luna 10 was a Soviet spacecraft that became the first artificial satellite to orbit the Moon, marking a major milestone in early lunar exploration.
  • E. SLIM lunar lander
    The SLIM lunar lander is a Japanese spacecraft designed by JAXA to demonstrate high-precision, lightweight landing technology on the Moon’s surface.
  • F. None of above. chosen

Provenance (5 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c091b8408190b9462ea7603aad52 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf1fa1148190a8a8a5b3e34946f0 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf873544819099d3dff98a6b2244 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc06483b08190b5b29f684b83f43f completed March 8, 2026, 12:18 a.m.
Created at: March 1, 2026, 7:50 p.m.