Triple

T12339131

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Engineering, The University of Hong Kong	`E294171`	entity
Predicate	hasUnit	`P35`	FINISHED
Object	Department of Computer Science The Department of Computer Science at the University of Hong Kong is a leading academic unit specializing in teaching and research across core and emerging areas of computing within the Faculty of Engineering.	`E978773`	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: Department of Computer Science | Statement: [Faculty of Engineering, The University of Hong Kong, hasUnit, Department of Computer Science]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Computer Science
Context triple: [Faculty of Engineering, The University of Hong Kong, hasUnit, Department of Computer Science]

A. Department of Computer Science
The Department of Computer Science is an academic unit within the Grainger College of Engineering that focuses on education and research in computing and information technologies.
B. Department of Computer Science
The Department of Computer Science at Acadia University is an academic unit that offers undergraduate and possibly graduate programs focused on computing, software development, and related technological fields.
C. Department of Computer Science
The Department of Computer Science at Punjabi University, Patiala is an academic unit offering teaching and research programs in computer science and related technologies.
D. Department of Computer Science
The Department of Computer Science at the University of Cape Town is an academic unit that offers teaching and research programs in computing and information technology within the Faculty of Science.
E. Department of Computer Science
The Department of Computer Science at Kohat University of Science and Technology is an academic unit offering undergraduate and postgraduate education and research in computing and information technology.
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: Department of Computer Science
Triple: [Faculty of Engineering, The University of Hong Kong, hasUnit, Department of Computer Science]

Generated description

The Department of Computer Science at the University of Hong Kong is a leading academic unit specializing in teaching and research across core and emerging areas of computing within the Faculty of Engineering.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Computer Science
Target entity description: The Department of Computer Science at the University of Hong Kong is a leading academic unit specializing in teaching and research across core and emerging areas of computing within the Faculty of Engineering.

A. Department of Computer Science
The Department of Computer Science at Royal Holloway, University of London is an academic unit specializing in teaching and research across core and advanced areas of computing and information technology.
B. Department of Computer Science
The Department of Computer Science is an academic unit specializing in teaching and research in computing, algorithms, and information technology within a university’s engineering and applied science school.
C. Department of Computer Science
The Department of Computer Science is an academic unit within the Grainger College of Engineering that focuses on education and research in computing and information technologies.
D. Department of Computer Science
The Department of Computer Science is an academic unit focused on teaching and research in computing, algorithms, and information technologies within the Faculty of Mathematics, Informatics and Statistics.
E. Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
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_69d6ab6ccbec8190b09e2d357aa80064`	completed	April 8, 2026, 7:24 p.m.
NER	Named-entity recognition	`batch_69d93f678698819091462b44ff3435f6`	completed	April 10, 2026, 6:20 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f62aa7e33c819084e5673a5fb8cac7`	completed	May 2, 2026, 4:47 p.m.
NEDg	Description generation	`batch_69f62c55aacc8190a0544306825bdfab`	completed	May 2, 2026, 4:54 p.m.
NED2	Entity disambiguation (via description)	`batch_69f62d51ab8081909c6f534051019dca`	completed	May 2, 2026, 4:58 p.m.

Created at: April 8, 2026, 9:53 p.m.