Triple

T19349774
Position Surface form Disambiguated ID Type / Status
Subject Rakuno Gakuen University E483981 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Agriculture 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 Agriculture | Statement: [Rakuno Gakuen University, hasFaculty, Faculty of Agriculture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Agriculture
Context triple: [Rakuno Gakuen University, hasFaculty, Faculty of Agriculture]
  • A. Faculty of Agriculture
    The Faculty of Agriculture at Tohoku University is an academic division specializing in agricultural sciences, research, and education within one of Japan’s leading national universities.
  • B. Faculty of Agriculture
    The Faculty of Agriculture at Kabul University is an academic division dedicated to teaching and research in agricultural sciences and related fields in Afghanistan.
  • C. Faculty of Agriculture
    The Faculty of Agriculture is an academic division of South Valley University specializing in agricultural sciences, research, and education related to farming, crops, and rural development.
  • D. Faculty of Agriculture
    The Faculty of Agriculture at Assiut University is an academic division specializing in agricultural sciences, education, and research to support regional and national agricultural development.
  • E. Faculty of Agriculture
    The Faculty of Agriculture at Chiang Mai University is an academic division specializing in agricultural sciences, research, and education in northern Thailand.
  • 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 Agriculture
Target entity description: The Faculty of Agriculture is an academic division specializing in agricultural sciences, food production, and related environmental studies at Rakuno Gakuen University.
  • A. Faculty of Agriculture
    The Faculty of Agriculture is an academic division specializing in agricultural sciences, education, and research, typically within a university setting.
  • B. Faculty of Agriculture
    The Faculty of Agriculture at Niigata University is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and environmental sustainability.
  • C. Faculty of Agriculture
    The Faculty of Agriculture at Kindai University is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and environmental sustainability.
  • D. Faculty of Agriculture
    The Faculty of Agriculture at Kagoshima University is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and rural development.
  • E. Faculty of Agriculture
    The Faculty of Agriculture at Kyushu University is an academic division specializing in agricultural sciences, research, and education related to food, environment, and bioresource management.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190381c081909c747a22422fb02c completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.