Triple

T16303188
Position Surface form Disambiguated ID Type / Status
Subject H-II Transfer Vehicle E395840 entity
Predicate alsoKnownAs P39 FINISHED
Object Kounotori E395841 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: Kounotori | Statement: [H-II Transfer Vehicle, alsoKnownAs, Kounotori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kounotori
Context triple: [H-II Transfer Vehicle, alsoKnownAs, Kounotori]
  • A. Kounotori chosen
    Kounotori is a Japanese uncrewed cargo spacecraft used to resupply the International Space Station.
  • B. Hayabusa spacecraft
    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.
  • C. OMOTENASHI CubeSat
    OMOTENASHI CubeSat is a small Japanese spacecraft designed by JAXA to demonstrate low-cost lunar landing and surface exploration technologies.
  • D. Akatsuki
    Akatsuki was an Imperial Japanese Navy destroyer of the Akatsuki class that served during World War II in the Pacific Theater.
  • E. Hayabusa
    Hayabusa is a high-speed Shinkansen train service in Japan known for operating some of the fastest long-distance routes on the Tōhoku and Hokkaido lines.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e35157481909e5604b7dae7a2a2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa16e3c81908a92225b5b57d711 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.