Triple

T3186901
Position Surface form Disambiguated ID Type / Status
Subject Technion – Israel Institute of Technology E66719 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Materials Science and Engineering
The Faculty of Materials Science and Engineering is an academic division of the Technion – Israel Institute of Technology specializing in the study, development, and engineering of advanced materials for science and industry.
E334909 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: Faculty of Materials Science and Engineering | Statement: [Technion – Israel Institute of Technology, hasFaculty, Faculty of Materials Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Science and Engineering
Context triple: [Technion – Israel Institute of Technology, hasFaculty, Faculty of Materials Science and Engineering]
  • A. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on the properties, design, and applications of engineering materials.
  • B. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
  • C. Faculty of Materials Science
    The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
  • D. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
  • E. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • 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: Faculty of Materials Science and Engineering
Triple: [Technion – Israel Institute of Technology, hasFaculty, Faculty of Materials Science and Engineering]
Generated description
The Faculty of Materials Science and Engineering is an academic division of the Technion – Israel Institute of Technology specializing in the study, development, and engineering of advanced materials for science and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Materials Science and Engineering
Target entity description: The Faculty of Materials Science and Engineering is an academic division of the Technion – Israel Institute of Technology specializing in the study, development, and engineering of advanced materials for science and industry.
  • A. Faculty of Materials Science and Engineering
    The Faculty of Materials Science and Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on the properties, design, and applications of engineering materials.
  • B. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic division of the Freiberg Mining Academy specializing in education and research on materials, their properties, processing, and technological applications.
  • C. Faculty of Materials Science
    The Faculty of Materials Science is a specialized division of Moscow State University focused on education and research in advanced materials and their properties, development, and applications.
  • D. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
  • E. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6c32ce88190a231be18d38ec5ba completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b8285388190bc47264bd1028ab3 completed March 12, 2026, 5:13 a.m.
NEDg Description generation batch_69b24c9f4488819096b33baa4f35deaa completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d4f4b1c819094d2073c9889fecf completed March 12, 2026, 5:21 a.m.
Created at: March 8, 2026, 3:06 p.m.