Triple

T18307075
Position Surface form Disambiguated ID Type / Status
Subject Katsu Kaishū E438513 entity
Predicate familyName P18 FINISHED
Object Katsu 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: Katsu | Statement: [Katsu Kaishū, familyName, Katsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katsu
Context triple: [Katsu Kaishū, familyName, Katsu]
  • A. Katsu Awa chosen
    Katsu Awa, better known as Katsu Kaishū, was a prominent late-Edo and early Meiji Japanese naval officer and statesman who played a key role in modernizing Japan’s navy and negotiating the peaceful surrender of Edo.
  • B. Kanjizai
    Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
  • C. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • D. Nihon Shuwa
    Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
  • E. Jiigatake
    Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.