Triple

T19672414
Position Surface form Disambiguated ID Type / Status
Subject University of Dodoma E472364 entity
Predicate hasFacultyOrCollege P119036 FINISHED
Object College of Earth Sciences and Engineering
The College of Earth Sciences and Engineering is an academic unit of the University of Dodoma in Tanzania that focuses on education and research in geosciences, environmental studies, and engineering disciplines related to the Earth.
E1389191 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: College of Earth Sciences and Engineering | Statement: [University of Dodoma, hasFacultyOrCollege, College of Earth Sciences and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Earth Sciences and Engineering
Context triple: [University of Dodoma, hasFacultyOrCollege, College of Earth Sciences and Engineering]
  • A. Faculty of Earth Science and Engineering
    The Faculty of Earth Science and Engineering is an academic division of the University of Miskolc specializing in education and research related to geology, mining, and environmental and earth engineering disciplines.
  • B. Faculty of Earth Sciences and Engineering
    The Faculty of Earth Sciences and Engineering is an academic division of the University of Engineering and Technology, Lahore, focused on education and research in geosciences, geological engineering, and related earth-resource disciplines.
  • C. College of Earth Resource Sciences and Engineering
    The College of Earth Resource Sciences and Engineering is a specialized academic division of the Colorado School of Mines focused on education and research related to earth systems, natural resources, and their sustainable development and utilization.
  • D. College of Earth Sciences
    The College of Earth Sciences is an academic division of National Central University in Taiwan specializing in education and research on Earth and environmental sciences.
  • E. School of Earth Sciences and Resources
    The School of Earth Sciences and Resources is an academic institute at Northwest University in China specializing in geology, earth system science, and natural resource exploration and management.
  • 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: College of Earth Sciences and Engineering
Triple: [University of Dodoma, hasFacultyOrCollege, College of Earth Sciences and Engineering]
Generated description
The College of Earth Sciences and Engineering is an academic unit of the University of Dodoma in Tanzania that focuses on education and research in geosciences, environmental studies, and engineering disciplines related to the Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Earth Sciences and Engineering
Target entity description: The College of Earth Sciences and Engineering is an academic unit of the University of Dodoma in Tanzania that focuses on education and research in geosciences, environmental studies, and engineering disciplines related to the Earth.
  • A. Faculty of Earth Science and Engineering
    The Faculty of Earth Science and Engineering is an academic division of the University of Miskolc specializing in education and research related to geology, mining, and environmental and earth engineering disciplines.
  • B. Faculty of Earth Sciences and Engineering
    The Faculty of Earth Sciences and Engineering is an academic division of the University of Engineering and Technology, Lahore, focused on education and research in geosciences, geological engineering, and related earth-resource disciplines.
  • C. College of Earth Resource Sciences and Engineering
    The College of Earth Resource Sciences and Engineering is a specialized academic division of the Colorado School of Mines focused on education and research related to earth systems, natural resources, and their sustainable development and utilization.
  • D. College of Earth Sciences
    The College of Earth Sciences is an academic division of National Central University in Taiwan specializing in education and research on Earth and environmental sciences.
  • E. School of Earth Sciences and Resources
    The School of Earth Sciences and Resources is an academic institute at Northwest University in China specializing in geology, earth system science, and natural resource exploration and management.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416d61008190af531c6d346d7da1 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787c08af48190a7253a74bca96aa6 completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a07889ccc9c8190be812f5c9eb0bfe7 completed May 15, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a078a1b11ec81908671f431c39b9496 completed May 15, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:45 p.m.