Triple

T1729992
Position Surface form Disambiguated ID Type / Status
Subject Todai E37587 entity
Predicate hasCampus P116 FINISHED
Object Komaba Campus E34450 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: Komaba Campus | Statement: [Todai, hasCampus, Komaba Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komaba Campus
Context triple: [Todai, hasCampus, Komaba Campus]
  • A. Komaba Campus chosen
    Komaba Campus is a major campus of the University of Tokyo, known for hosting the College of Arts and Sciences and many first- and second-year undergraduate programs.
  • B. Seiryo Campus
    Seiryo Campus is one of Tohoku University's main campuses, known for housing its medical and health sciences faculties and related research facilities in Sendai, Japan.
  • C. Tsurumai Campus
    Tsurumai Campus is one of Nagoya University's main campuses, known especially for its medical and health-related faculties and facilities in Nagoya, Japan.
  • D. Daiko Campus
    Daiko Campus is one of Nagoya University's satellite campuses in Nagoya, Japan, housing specialized faculties and research facilities.
  • E. Maidashi Campus
    Maidashi Campus is one of Kyushu University's main sites in Fukuoka, primarily housing its medical and health-related faculties and facilities.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc02b948190bc28175ff8c46110 completed March 9, 2026, 1:17 a.m.
Created at: March 4, 2026, 7:30 p.m.