Triple

T10536348
Position Surface form Disambiguated ID Type / Status
Subject Benjamin M. Statler College of Engineering and Mineral Resources E248572 entity
Predicate formerName P65 FINISHED
Object College of Engineering and Mineral Resources
The College of Engineering and Mineral Resources was the former name of West Virginia University’s engineering college, now known as the Benjamin M. Statler College of Engineering and Mineral Resources.
E868723 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 Engineering and Mineral Resources | Statement: [Benjamin M. Statler College of Engineering and Mineral Resources, formerName, College of Engineering and Mineral Resources]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Engineering and Mineral Resources
Context triple: [Benjamin M. Statler College of Engineering and Mineral Resources, formerName, College of Engineering and Mineral Resources]
  • A. College of Engineering and Mines
    The College of Engineering and Mines is an academic unit of the University of Alaska Fairbanks that offers engineering and mining-related education and research programs, particularly focused on Arctic and subarctic environments.
  • B. School of Mineral Resources Engineering
    The School of Mineral Resources Engineering is an academic unit of the Technical University of Crete specializing in the study and engineering of mineral resources, including their exploration, extraction, and sustainable management.
  • C. College of Engineering & Mines
    The College of Engineering & Mines is the engineering and applied sciences college of the University of North Dakota, offering programs in fields such as engineering, geology, and related technical disciplines.
  • D. School of Mining Engineering
    The School of Mining Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research in mining, mineral exploration, and related engineering fields.
  • 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 Engineering and Mineral Resources
Triple: [Benjamin M. Statler College of Engineering and Mineral Resources, formerName, College of Engineering and Mineral Resources]
Generated description
The College of Engineering and Mineral Resources was the former name of West Virginia University’s engineering college, now known as the Benjamin M. Statler College of Engineering and Mineral Resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Engineering and Mineral Resources
Target entity description: The College of Engineering and Mineral Resources was the former name of West Virginia University’s engineering college, now known as the Benjamin M. Statler College of Engineering and Mineral Resources.
  • A. College of Engineering and Mines
    The College of Engineering and Mines is an academic unit of the University of Alaska Fairbanks that offers engineering and mining-related education and research programs, particularly focused on Arctic and subarctic environments.
  • B. School of Mineral Resources Engineering
    The School of Mineral Resources Engineering is an academic unit of the Technical University of Crete specializing in the study and engineering of mineral resources, including their exploration, extraction, and sustainable management.
  • C. College of Engineering & Mines
    The College of Engineering & Mines is the engineering and applied sciences college of the University of North Dakota, offering programs in fields such as engineering, geology, and related technical disciplines.
  • D. School of Mining Engineering
    The School of Mining Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research in mining, mineral exploration, and related engineering fields.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d91233a5d081908a8c9f6a3177f40e completed April 10, 2026, 3:07 p.m.
NED2 Entity disambiguation (via description) batch_69d912d18d2081909a6ebce1af1fb96a completed April 10, 2026, 3:10 p.m.
Created at: April 6, 2026, 12:31 p.m.