Triple

T10384080
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Economics, Kyushu University E244713 entity
Predicate campus P269 FINISHED
Object Ito Campus E49907 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: Ito Campus | Statement: [Faculty of Economics, Kyushu University, campus, Ito Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ito Campus
Context triple: [Faculty of Economics, Kyushu University, campus, Ito Campus]
  • A. Ito Campus chosen
    Ito Campus is the main and largest campus of Kyushu University in Fukuoka, Japan, known for its modern facilities and expansive, coastal setting.
  • B. 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.
  • C. Ohashi Campus
    Ohashi Campus is a Kyushu University campus in Fukuoka primarily known for housing its design and art-related faculties and facilities.
  • D. Katahira Campus
    Katahira Campus is one of Tohoku University’s main campuses in Sendai, Japan, known for hosting key research and educational facilities.
  • E. Takiko Campus
    Takiko Campus is one of the campuses of Nagoya City University in Japan, hosting specific faculties and facilities within the university.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a35fb08190ab85b4a8f8dea511 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc1eb7348190b9f3c473443bacf3 completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:04 p.m.