Triple

T6801644
Position Surface form Disambiguated ID Type / Status
Subject Sidereal Messenger E156199 entity
Predicate describes P264 FINISHED
Object the 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: the Moon | Statement: [Sidereal Messenger, describes, the Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Moon
Context triple: [Sidereal Messenger, describes, the Moon]
  • A. 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.
  • B. 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.
  • C. Sphere of the Moon
    Sphere of the Moon is the lowest celestial heaven in Dante Alighieri’s Paradiso, where souls who failed to keep their vows reside.
  • D. Mare
    Mare is an Austronesian language spoken primarily on Maré Island in New Caledonia, also known as the Nengone language.
  • E. Mwenezi
    Mwenezi is a rural district and communal area in southern Zimbabwe known for cattle ranching, sugar estates, and its location along the Mwenezi River in Masvingo Province.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e595188190a0bb4b595df3adb2 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9b0cc48190819380aeaf0228e7 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.