Triple

T15638685
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, University of Karachi E376009 entity
Predicate hasDepartment P35 FINISHED
Object Department of Food Science and Technology, University of Karachi E576819 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: Department of Food Science and Technology, University of Karachi | Statement: [Faculty of Science, University of Karachi, hasDepartment, Department of Food Science and Technology, University of Karachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Department of Food Science and Technology, University of Karachi
Context triple: [Faculty of Science, University of Karachi, hasDepartment, Department of Food Science and Technology, University of Karachi]
  • A. Department of Food Science, Nutrition and Technology, University of Nairobi
    The Department of Food Science, Nutrition and Technology at the University of Nairobi is an academic unit specializing in teaching and research on food processing, safety, nutrition, and related technologies.
  • B. Department of Food Science and Technology chosen
    The Department of Food Science and Technology is an academic unit focused on research and education in food chemistry, safety, processing, and innovation within the broader fields of food and wine science.
  • C. Department of Food Science, Nutrition and Technology
    The Department of Food Science, Nutrition and Technology is an academic unit specializing in teaching and research on food processing, safety, nutrition, and related technologies.
  • D. Department of Food Science, University of Copenhagen
    The Department of Food Science at the University of Copenhagen is a leading academic and research institution focused on food science, technology, and nutrition, contributing to innovation and education in the food sector.
  • E. Department of Food Science and Biotechnology
    The Department of Food Science and Biotechnology is an academic unit at Kyoto University specializing in research and education on food chemistry, safety, processing, and biotechnological applications in agriculture and nutrition.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eba51f08190ac5d9de7fc89405a completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4b693c81908fd324a5e92fc23c completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.