Triple

T12988231
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Business Administration, Hosei University E321823 entity
Predicate country P26 FINISHED
Object Japan (JP) E174 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: Japan (JP) | Statement: [Faculty of Business Administration, Hosei University, country, Japan (JP)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan (JP)
Context triple: [Faculty of Business Administration, Hosei University, country, Japan (JP)]
  • A. Japan chosen
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • B. Japo
    Japo is a small settlement located on Arno Atoll in the Marshall Islands.
  • C. Ota, Japan
    Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
  • D. Kansai, Japan
    Kansai, Japan is a major region in western Honshu known for historic cities like Kyoto, Osaka, and Nara, rich cultural heritage, and significant economic and cultural influence.
  • E. Nippon Eitaigura
    Nippon Eitaigura is a late 17th-century Japanese ukiyo-zōshi story collection by Ihara Saikaku that vividly portrays the lives and fortunes of Osaka merchants.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f95c548190a6fc2c1ea98246c3 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:42 p.m.