Triple

T9773867
Position Surface form Disambiguated ID Type / Status
Subject Oscar E237196 entity
Predicate alsoKnownAs P39 FINISHED
Object Hayabusa E94188 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: Hayabusa | Statement: [Oscar, alsoKnownAs, Hayabusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayabusa
Context triple: [Oscar, alsoKnownAs, Hayabusa]
  • A. Hayabusa spacecraft chosen
    The Hayabusa spacecraft was a Japanese robotic mission that became the first to return samples from an asteroid to Earth, significantly advancing planetary science and sample-return technology.
  • B. Akatsuki
    Akatsuki was an Imperial Japanese Navy destroyer of the Akatsuki class that served during World War II in the Pacific Theater.
  • C. Hayabusa2 spacecraft
    Hayabusa2 spacecraft is a Japanese asteroid sample-return probe that visited the near-Earth asteroid Ryugu, collected surface and subsurface material, and successfully returned samples to Earth for scientific study.
  • D. Gaikan
    Gaikan is a major orbital expressway route forming part of Tokyo’s ring road system in Japan.
  • E. Kaguya (SELENE) lunar orbiter
    Kaguya (SELENE) was a Japanese lunar orbiter mission that conducted detailed scientific mapping and observation of the Moon’s surface, gravity, and environment.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f6b8348190bd05b94519de9bc9 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd18542881908860f9e8e3927f23 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.