Triple

T19462851
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki University E486916 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Fisheries 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 Fisheries | Statement: [Nagasaki University, hasFaculty, Faculty of Fisheries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Fisheries
Context triple: [Nagasaki University, hasFaculty, Faculty of Fisheries]
  • A. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Kagoshima University specializing in marine science, fisheries technology, and related aquatic resource studies.
  • B. Faculty of Fisheries
    The Faculty of Fisheries is an academic division specializing in fisheries science, aquatic resources, and related research and training at the University of Rajshahi in Bangladesh.
  • C. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Kindai University specializing in marine science, aquaculture, and fisheries-related education and research.
  • D. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Ege University specializing in education and research on aquatic sciences, marine resources, and fisheries management.
  • E. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Universidad Nacional Agraria La Molina in Peru dedicated to education and research in fisheries science, aquatic resources, and related technologies.
  • 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 Fisheries
Target entity description: The Faculty of Fisheries is an academic division of Nagasaki University specializing in marine science, fisheries technology, and related aquatic resource studies.
  • A. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Kindai University specializing in marine science, aquaculture, and fisheries-related education and research.
  • B. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Ege University specializing in education and research on aquatic sciences, marine resources, and fisheries management.
  • C. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Universidad Nacional Agraria La Molina in Peru dedicated to education and research in fisheries science, aquatic resources, and related technologies.
  • D. Faculty of Fisheries
    The Faculty of Fisheries is an academic division specializing in fisheries science, aquatic resources, and related research and training at the University of Rajshahi in Bangladesh.
  • E. Faculty of Fisheries
    The Faculty of Fisheries is an academic division of Kagoshima University specializing in marine science, fisheries technology, and related aquatic resource studies.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cd6c148190933b4d6bfe84cbe1 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.