Triple

T2237775
Position Surface form Disambiguated ID Type / Status
Subject Kyodai E49321 entity
Predicate hasGraduateSchool P113 FINISHED
Object Graduate School of Law E53807 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: Graduate School of Law | Statement: [Kyodai, hasGraduateSchool, Graduate School of Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graduate School of Law
Context triple: [Kyodai, hasGraduateSchool, Graduate School of Law]
  • A. Graduate School of Law chosen
    The Graduate School of Law at Kyushu University is a postgraduate institution in Japan specializing in advanced legal education and research.
  • B. Graduate School of Law
    The Graduate School of Law is Kindai University's advanced legal education and research institution offering specialized postgraduate programs in law.
  • C. Graduate School of Law
    The Graduate School of Law at Gakushuin University is a postgraduate institution specializing in advanced legal education and research.
  • D. Graduate School of Law
    The Graduate School of Law is Waseda University's advanced legal education and research institution offering graduate-level programs in law.
  • E. Graduate School of Law
    The Graduate School of Law is Kokugakuin University's advanced legal education and research institution offering specialized postgraduate programs in law.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:47 p.m.