Triple

T15682479
Position Surface form Disambiguated ID Type / Status
Subject Hodogaya Campus E377611 entity
Predicate hasAcademicUnit P1488 FINISHED
Object College of Economics E334201 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: College of Economics | Statement: [Hodogaya Campus, hasAcademicUnit, College of Economics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: College of Economics
Context triple: [Hodogaya Campus, hasAcademicUnit, College of Economics]
  • A. College of Economics
    The College of Economics is an academic faculty of Ritsumeikan University in Japan that focuses on economic theory, policy, and related social sciences.
  • B. College of Economics chosen
    The College of Economics is an academic faculty of Yokohama National University specializing in economic theory, policy, and related social sciences.
  • C. College of Economics
    The College of Economics is an academic unit of Shenzhen University specializing in economics education and research.
  • D. School of Economics
    The School of Economics is an academic unit of Huazhong University of Science and Technology specializing in economic education and research.
  • E. School of Economics
    The School of Economics is a core academic unit of Shanghai University of Finance and Economics, specializing in economic theory, applied economics, and related research and teaching.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.