Triple

T18533681
Position Surface form Disambiguated ID Type / Status
Subject National University Corporation Osaka University E452905 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Law NE NERFINISHED

How this triple was built (3 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: Faculty of Law | Statement: [National University Corporation Osaka University, hasFaculty, Faculty of Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Law
Context triple: [National University Corporation Osaka University, hasFaculty, Faculty of Law]
  • A. Faculty of Law
    The Faculty of Law at McGill University is a leading Canadian law school renowned for its bilingual and transsystemic legal education and strong international reputation.
  • B. Faculty of Law
    The Faculty of Law at the University of Zurich is a leading Swiss legal education and research institution offering comprehensive programs in national and international law.
  • C. Faculty of Law
    The Faculty of Law at the University of the Andes in Bogotá is a leading Colombian law school recognized for its rigorous legal education, research, and influence on national legal and public policy debates.
  • D. Faculty of Law
    The Faculty of Law at the University of Vienna is a major European law school known for its long academic tradition and comprehensive legal education and research programs.
  • E. Faculty of Law
    The Faculty of Law at the University of Lagos is a leading Nigerian legal education and research institution known for training lawyers, scholars, and legal professionals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Law
Target entity description: The Faculty of Law at Osaka University is a major academic division specializing in legal education and research within one of Japan’s leading national universities.
  • A. Faculty of Law
    The Faculty of Law at Osaka Gakuin University is an academic division specializing in legal education and research within the university.
  • B. Faculty of Law
    The Faculty of Law at Hokkaido University is a major academic division specializing in legal education and research within one of Japan’s leading national universities.
  • C. Faculty of Law
    The Faculty of Law at Kyushu University is a major academic division specializing in legal education and research within one of Japan’s leading national universities.
  • D. Faculty of Law
    The Faculty of Law at Tohoku University is a major academic division specializing in legal education and research within one of Japan’s leading national universities.
  • E. Faculty of Law
    The Faculty of Law at Hosei University is a major academic division specializing in legal education and research within the university’s broader humanities and social sciences framework.
  • F. None of above. chosen

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533ffc38881909f8ee132314f58a3 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.