Triple

T4714532
Position Surface form Disambiguated ID Type / Status
Subject Kindai University E104599 entity
Predicate hasCampus P116 FINISHED
Object Nara Campus E128978 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: Nara Campus | Statement: [Kindai University, hasCampus, Nara Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nara Campus
Context triple: [Kindai University, hasCampus, Nara Campus]
  • A. Nara Campus chosen
    Nara Campus is one of Kindai University's regional campuses in Japan, serving as a site for higher education and research within the Nara area.
  • B. Yoshida Campus
    Yoshida Campus is the main and historic campus of Kyoto University, located in Kyoto, Japan, and home to many of its core faculties and research facilities.
  • C. Ichigaya Campus
    Ichigaya Campus is the main urban campus of Hosei University in central Tokyo, known for its law, social sciences, and humanities faculties.
  • D. Katsura Campus
    Katsura Campus is a major Kyoto University campus in Kyoto, Japan, known for its focus on science and engineering research and its modern, environmentally conscious design.
  • E. Nakamiya Campus
    Nakamiya Campus is one of the main campuses of Kansai Gaidai University in Japan, known for hosting many of the university’s academic and international programs.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6407659481908bcdc063d7b3da00 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8fed2208190a3e340190356e67f completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:18 p.m.