Triple

T7510336
Position Surface form Disambiguated ID Type / Status
Subject Gallogly College of Engineering E177501 entity
Predicate hasUnit P35 FINISHED
Object School of Electrical and Computer Engineering
The School of Electrical and Computer Engineering is an academic department within the Gallogly College of Engineering that focuses on education and research in electrical and computer engineering disciplines.
E670270 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 Electrical and Computer Engineering | Statement: [Gallogly College of Engineering, hasUnit, School of Electrical and Computer Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Electrical and Computer Engineering
Context triple: [Gallogly College of Engineering, hasUnit, School of Electrical and Computer Engineering]
  • A. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is an academic unit of the Technical University of Crete specializing in education and research in electrical engineering, electronics, and computer engineering.
  • B. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is a major academic and research unit of the University of Tehran specializing in electrical, electronics, and computer engineering education and innovation.
  • C. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is a major academic unit of the National Technical University of Athens specializing in education and research in electrical engineering, electronics, and computer engineering.
  • D. School of Electrical Engineering and Computer Science
    The School of Electrical Engineering and Computer Science is a major academic division of KTH Royal Institute of Technology in Stockholm, focusing on education and research in electrical engineering, computer science, and related technologies.
  • E. Department of Electrical and Computer Engineering
    The Department of Electrical and Computer Engineering is an academic unit that focuses on education and research in areas such as electronics, computing systems, communications, and signal processing.
  • 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 Electrical and Computer Engineering
Triple: [Gallogly College of Engineering, hasUnit, School of Electrical and Computer Engineering]
Generated description
The School of Electrical and Computer Engineering is an academic department within the Gallogly College of Engineering that focuses on education and research in electrical and computer engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Electrical and Computer Engineering
Target entity description: The School of Electrical and Computer Engineering is an academic department within the Gallogly College of Engineering that focuses on education and research in electrical and computer engineering disciplines.
  • A. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is a major academic and research unit of the University of Tehran specializing in electrical, electronics, and computer engineering education and innovation.
  • B. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is a major academic unit of the National Technical University of Athens specializing in education and research in electrical engineering, electronics, and computer engineering.
  • C. School of Electrical and Computer Engineering
    The School of Electrical and Computer Engineering is an academic unit of the Technical University of Crete specializing in education and research in electrical engineering, electronics, and computer engineering.
  • D. School of Electrical Engineering and Computer Science
    The School of Electrical Engineering and Computer Science is a major academic division of KTH Royal Institute of Technology in Stockholm, focusing on education and research in electrical engineering, computer science, and related technologies.
  • E. Department of Electrical and Computer Engineering
    The Department of Electrical and Computer Engineering is an academic unit that focuses on education and research in areas such as electronics, computing systems, communications, and signal processing.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461035b48190ba08c0f759cafe4a completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84754ec048190be1e37c2189b56ed completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.