Triple

T16382801
Position Surface form Disambiguated ID Type / Status
Subject Colorado School of Mines E397848 entity
Predicate hasAcademicUnit P1488 FINISHED
Object 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.
E1210177 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 Resource Sciences and Engineering | Statement: [Colorado School of Mines, hasAcademicUnit, College of Earth Resource Sciences and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Earth Resource Sciences and Engineering
Context triple: [Colorado School of Mines, hasAcademicUnit, College of Earth Resource Sciences and Engineering]
  • A. 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.
  • B. School of Resources and Geosciences
    The School of Resources and Geosciences is an academic unit of the China University of Mining and Technology specializing in the study and research of earth resources, geology, and related engineering fields.
  • C. 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.
  • D. 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.
  • E. School of Mining and Geosciences
    The School of Mining and Geosciences is an academic unit of Nazarbayev University specializing in education and research related to mining engineering, earth sciences, and natural resources.
  • 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 Resource Sciences and Engineering
Triple: [Colorado School of Mines, hasAcademicUnit, College of Earth Resource Sciences and Engineering]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Earth Resource Sciences and Engineering
Target entity description: 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.
  • A. 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.
  • B. School of Resources and Geosciences
    The School of Resources and Geosciences is an academic unit of the China University of Mining and Technology specializing in the study and research of earth resources, geology, and related engineering fields.
  • C. 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.
  • D. 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.
  • E. School of Mining and Geosciences
    The School of Mining and Geosciences is an academic unit of Nazarbayev University specializing in education and research related to mining engineering, earth sciences, and natural resources.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356b00408190beab51a23011be67 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00369391a08190bb5521e2fcc839c6 completed May 10, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00374326948190ae039bc689054387 completed May 10, 2026, 7:44 a.m.
Created at: April 10, 2026, 5:08 a.m.