Triple

T3711440
Position Surface form Disambiguated ID Type / Status
Subject Nagoya University E81421 entity
Predicate hasCampus P116 FINISHED
Object Daiko Campus E87259 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: Daiko Campus | Statement: [Nagoya University, hasCampus, Daiko Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daiko Campus
Context triple: [Nagoya University, hasCampus, Daiko Campus]
  • A. Daiko Campus chosen
    Daiko Campus is one of Nagoya University's satellite campuses in Nagoya, Japan, housing specialized faculties and research facilities.
  • B. Takiko Campus
    Takiko Campus is one of the campuses of Nagoya City University in Japan, hosting specific faculties and facilities within the university.
  • C. Kawasumi Campus
    Kawasumi Campus is one of the main campuses of Nagoya City University in Japan, housing various academic and research facilities for its students and faculty.
  • D. Kinugasa Campus
    Kinugasa Campus is one of the main campuses of Ritsumeikan University in Kyoto, known for its humanities and social sciences faculties and its proximity to historic cultural sites.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc58617bc8190bb712d1c90394215 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb02366881909d984b54bfc571e9 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:33 p.m.