Triple

T19790543
Position Surface form Disambiguated ID Type / Status
Subject University of Dar es Salaam E475396 entity
Predicate hasFaculty P141 FINISHED
Object School of Aquatic Sciences and Fisheries Technology
The School of Aquatic Sciences and Fisheries Technology is an academic unit of the University of Dar es Salaam specializing in education and research on aquatic ecosystems, fisheries, and related marine and freshwater resources.
E1396335 NE FINISHED

How this triple was built (4 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: School of Aquatic Sciences and Fisheries Technology | Statement: [University of Dar es Salaam, hasFaculty, School of Aquatic Sciences and Fisheries Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Aquatic Sciences and Fisheries Technology
Context triple: [University of Dar es Salaam, hasFaculty, School of Aquatic Sciences and Fisheries Technology]
  • A. Faculty of Fisheries and Marine Sciences and Technology
    The Faculty of Fisheries and Marine Sciences and Technology is an academic division of the University of Ruhuna in Sri Lanka specializing in fisheries, oceanography, and marine-related sciences and technologies.
  • B. Faculty of Aquatic Sciences
    The Faculty of Aquatic Sciences is a specialized academic unit of Istanbul University focused on education and research in marine and freshwater sciences, fisheries, and aquatic ecosystems.
  • C. Faculty of Fisheries Sciences
    The Faculty of Fisheries Sciences is a specialized academic division of Hokkaido University focused on marine science, fisheries, and aquatic resource research and education.
  • D. Faculty of Marine Sciences and Fisheries
    The Faculty of Marine Sciences and Fisheries is an academic division of the University of Chittagong specializing in education and research on marine environments, aquatic resources, and fisheries science.
  • E. Faculty of Fisheries and Marine Science
    The Faculty of Fisheries and Marine Science is an academic unit of Universitas Brawijaya specializing in education and research on fisheries, aquaculture, and marine sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Aquatic Sciences and Fisheries Technology
Triple: [University of Dar es Salaam, hasFaculty, School of Aquatic Sciences and Fisheries Technology]
Generated description
The School of Aquatic Sciences and Fisheries Technology is an academic unit of the University of Dar es Salaam specializing in education and research on aquatic ecosystems, fisheries, and related marine and freshwater resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Aquatic Sciences and Fisheries Technology
Target entity description: The School of Aquatic Sciences and Fisheries Technology is an academic unit of the University of Dar es Salaam specializing in education and research on aquatic ecosystems, fisheries, and related marine and freshwater resources.
  • A. Faculty of Fisheries and Marine Sciences and Technology
    The Faculty of Fisheries and Marine Sciences and Technology is an academic division of the University of Ruhuna in Sri Lanka specializing in fisheries, oceanography, and marine-related sciences and technologies.
  • B. Faculty of Aquatic Sciences
    The Faculty of Aquatic Sciences is a specialized academic unit of Istanbul University focused on education and research in marine and freshwater sciences, fisheries, and aquatic ecosystems.
  • C. Faculty of Fisheries Sciences
    The Faculty of Fisheries Sciences is a specialized academic division of Hokkaido University focused on marine science, fisheries, and aquatic resource research and education.
  • D. Faculty of Marine Sciences and Fisheries
    The Faculty of Marine Sciences and Fisheries is an academic division of the University of Chittagong specializing in education and research on marine environments, aquatic resources, and fisheries science.
  • E. Faculty of Fisheries and Marine Science
    The Faculty of Fisheries and Marine Science is an academic unit of Universitas Brawijaya specializing in education and research on fisheries, aquaculture, and marine sciences.
  • F. None of above. chosen

Provenance (5 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4fdbf4c8190a9177e87b65fc965 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c90c07a48190b0f23597124b5017 completed May 16, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a07c97b33b481909e9b45b37cfe87b3 completed May 16, 2026, 1:33 a.m.
Created at: April 10, 2026, 1:49 p.m.