Triple

T12236331
Position Surface form Disambiguated ID Type / Status
Subject America E291601 entity
Predicate missionDestination P35735 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: [America, missionDestination, Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon
Context triple: [America, missionDestination, 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 1979 drama film directed by Bernardo Bertolucci, known for its intense psychological themes and featuring Jill Clayburgh in a leading role.
  • D. 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.
  • E. Mare
    Mare is an Austronesian language spoken primarily on Maré Island in New Caledonia, also known as the Nengone language.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab19a4c8190b4692d7ab0d02a12 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.