Triple

T17911108
Position Surface form Disambiguated ID Type / Status
Subject Naruto E447819 entity
Predicate hasOrganization P629 FINISHED
Object Akatsuki NE NERFINISHED

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: Akatsuki | Statement: [Naruto, hasOrganization, Akatsuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akatsuki
Context triple: [Naruto, hasOrganization, Akatsuki]
  • A. Akatsuki
    Akatsuki was an Imperial Japanese Navy destroyer of the Akatsuki class that served during World War II in the Pacific Theater.
  • B. Nozomi Mars probe
    The Nozomi Mars probe was a Japanese space mission launched by JAXA to study the Martian atmosphere and magnetic field, ultimately failing to enter Mars orbit after multiple technical setbacks.
  • C. 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.
  • D. Akatsuki Venus climate orbiter chosen
    The Akatsuki Venus climate orbiter is a Japanese space probe designed to study Venus’s atmosphere, weather patterns, and climate dynamics from orbit.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea017d081908be850a39edf601f completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.