Triple

T5456722
Position Surface form Disambiguated ID Type / Status
Subject Hebron University E122495 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science and Technology
The Faculty of Science and Technology at Hebron University is an academic division offering undergraduate and possibly graduate programs in scientific and technological disciplines, supporting education and research in fields such as natural sciences, computing, and engineering.
E521240 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 Science and Technology | Statement: [Hebron University, hasFaculty, Faculty of Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Technology
Context triple: [Hebron University, hasFaculty, Faculty of Science and Technology]
  • A. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Midlands State University that offers science- and technology-focused programs and conducts related research.
  • B. Faculty of Science and Technology
    The Faculty of Science and Technology is a major academic division of Claude Bernard University Lyon 1 that focuses on education and research in the natural sciences, engineering, and related technological fields.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Cheikh Anta Diop University dedicated to education and research in the natural sciences, mathematics, engineering, and related technological fields.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a range of scientific and technological disciplines.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at Keio University is an academic division specializing in education and research across a broad range of scientific and engineering disciplines.
  • 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 Science and Technology
Triple: [Hebron University, hasFaculty, Faculty of Science and Technology]
Generated description
The Faculty of Science and Technology at Hebron University is an academic division offering undergraduate and possibly graduate programs in scientific and technological disciplines, supporting education and research in fields such as natural sciences, computing, and engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Technology
Target entity description: The Faculty of Science and Technology at Hebron University is an academic division offering undergraduate and possibly graduate programs in scientific and technological disciplines, supporting education and research in fields such as natural sciences, computing, and engineering.
  • A. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Al-Quds University offering undergraduate and graduate programs in scientific and technological disciplines.
  • B. Faculty of Science and Technology
    The Faculty of Science and Technology at Airlangga University is an academic unit that offers undergraduate and graduate programs in scientific and technological disciplines, supporting research and innovation in these fields.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Nairobi that offers teaching and research programs in scientific and technological disciplines.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is a major academic division of the University of Tartu that focuses on education and research in the natural sciences, engineering, and related technological fields.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at the University of Twente is an academic division focused on education and research in natural sciences, engineering, and related technological disciplines.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91f05c48819095bb4e371209adee completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41465c3c8190a58350f39d626e54 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41efb7748190acefa796eb4e4bed completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf42654a108190b271f78616eea25a completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 2:08 p.m.