Triple

T13173372
Position Surface form Disambiguated ID Type / Status
Subject LunIR CubeSat E313033 entity
Predicate destination P1522 FINISHED
Object Moon E4619 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: Moon | Statement: [LunIR CubeSat, destination, Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon
Context triple: [LunIR CubeSat, destination, Moon]
  • A. Moon chosen
    The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
  • B. Moon
    Moon is a 2009 science fiction film directed by Duncan Jones that follows a solitary astronaut nearing the end of his three-year stint on a lunar mining base, exploring themes of identity, memory, and corporate ethics.
  • C. La Luna
    La Luna is a Pixar animated short film directed by Enrico Casarosa that follows a young boy experiencing a magical coming-of-age night working with his father and grandfather to sweep stars from the moon.
  • D. La Luna
    La Luna is a 1979 drama film directed by Bernardo Bertolucci, known for its intense psychological themes and featuring Jill Clayburgh in a leading role.
  • E. The Lune
    The Lune is a river in J.R.R. Tolkien’s Middle-earth that flows through Eriador and into the Gulf of Lune.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c303e3c819086cf0f0b6d9e61ca completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:14 p.m.