Triple

T8366945
Position Surface form Disambiguated ID Type / Status
Subject An-Najah National University E197150 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Engineering and Information Technology
The Faculty of Engineering and Information Technology is an academic division of An-Najah National University that offers engineering and computing-related programs and conducts research in technological fields.
E728141 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 Engineering and Information Technology | Statement: [An-Najah National University, hasFaculty, Faculty of Engineering and Information Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering and Information Technology
Context triple: [An-Najah National University, hasFaculty, Faculty of Engineering and Information Technology]
  • A. Faculty of Engineering and Information Technology
    The Faculty of Engineering and Information Technology at the University of Melbourne is a leading academic division specializing in engineering and computing education and research.
  • B. Faculty of Engineering and Information Technology
    The Faculty of Engineering and Information Technology is a major academic division of the University of Technology Sydney that offers engineering and IT education and conducts related research.
  • C. Faculty of Engineering and Information Sciences
    The Faculty of Engineering and Information Sciences is a major academic division of the University of Wollongong specializing in engineering, information technology, and related applied sciences.
  • D. Faculty of Information Technology Engineering
    The Faculty of Information Technology Engineering is a specialized academic unit of Damascus University focused on education and research in computer science, software engineering, and related information technologies.
  • E. Faculty of Information Technology and Electrical Engineering
    The Faculty of Information Technology and Electrical Engineering is a major academic division of the Norwegian University of Science and Technology specializing in education and research in computing, digital technologies, and electrical and electronic engineering.
  • 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 Engineering and Information Technology
Triple: [An-Najah National University, hasFaculty, Faculty of Engineering and Information Technology]
Generated description
The Faculty of Engineering and Information Technology is an academic division of An-Najah National University that offers engineering and computing-related programs and conducts research in technological fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering and Information Technology
Target entity description: The Faculty of Engineering and Information Technology is an academic division of An-Najah National University that offers engineering and computing-related programs and conducts research in technological fields.
  • A. Faculty of Engineering and Information Technology
    The Faculty of Engineering and Information Technology at the University of Melbourne is a leading academic division specializing in engineering and computing education and research.
  • B. Faculty of Engineering and Information Technology
    The Faculty of Engineering and Information Technology is a major academic division of the University of Technology Sydney that offers engineering and IT education and conducts related research.
  • C. Faculty of Engineering and Information Sciences
    The Faculty of Engineering and Information Sciences is a major academic division of the University of Wollongong specializing in engineering, information technology, and related applied sciences.
  • D. Faculty of Information Technology Engineering
    The Faculty of Information Technology Engineering is a specialized academic unit of Damascus University focused on education and research in computer science, software engineering, and related information technologies.
  • E. Faculty of Information Technology and Electrical Engineering
    The Faculty of Information Technology and Electrical Engineering is a major academic division of the Norwegian University of Science and Technology specializing in education and research in computing, digital technologies, and electrical and electronic engineering.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6 p.m.