Triple

T16277015

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Engineering, Environment and Computing	`E395155`	entity
Predicate	hasUnit	`P35`	FINISHED
Object	School of Energy, Construction and Environment The School of Energy, Construction and Environment is an academic unit specializing in education and research on sustainable energy systems, the built environment, and environmental management within the Faculty of Engineering, Environment and Computing.	`E640085`	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 Energy, Construction and Environment | Statement: [Faculty of Engineering, Environment and Computing, hasUnit, School of Energy, Construction and Environment]

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

Target entity: School of Energy, Construction and Environment
Context triple: [Faculty of Engineering, Environment and Computing, hasUnit, School of Energy, Construction and Environment]

A. School of Sustainable Engineering and the Built Environment
The School of Sustainable Engineering and the Built Environment is an academic unit at Arizona State University focused on educating engineers and conducting research in areas such as civil, environmental, and sustainable infrastructure systems.
B. School of Environment and Energy
The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
C. School of Engineering and the Built Environment
The School of Engineering and the Built Environment is an academic unit at Anglia Ruskin University that focuses on engineering disciplines and the design, construction, and management of the built environment.
D. Faculty of Environmental Engineering and Energy
The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
E. School of Energy, Environment and Natural Resources
The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
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 Energy, Construction and Environment
Triple: [Faculty of Engineering, Environment and Computing, hasUnit, School of Energy, Construction and Environment]

Generated description

The School of Energy, Construction and Environment is an academic unit specializing in education and research on sustainable energy systems, the built environment, and environmental management within the Faculty of Engineering, Environment and Computing.

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

Target entity: School of Energy, Construction and Environment
Target entity description: The School of Energy, Construction and Environment is an academic unit specializing in education and research on sustainable energy systems, the built environment, and environmental management within the Faculty of Engineering, Environment and Computing.

A. School of Sustainable Engineering and the Built Environment
The School of Sustainable Engineering and the Built Environment is an academic unit at Arizona State University focused on educating engineers and conducting research in areas such as civil, environmental, and sustainable infrastructure systems.
B. School of Environment and Energy
The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
C. School of Engineering and the Built Environment chosen
The School of Engineering and the Built Environment is an academic unit at Anglia Ruskin University that focuses on engineering disciplines and the design, construction, and management of the built environment.
D. Faculty of Environmental Engineering and Energy
The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
E. School of Energy, Environment and Natural Resources
The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
F. None of above.

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_69d87f22c7248190a54c949738441e2e`	completed	April 10, 2026, 4:40 a.m.
NER	Named-entity recognition	`batch_69e2460ea5a4819099f779288a754c8d`	completed	April 17, 2026, 2:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0017c2b9688190b96d62d83a03f158`	completed	May 10, 2026, 5:29 a.m.
NEDg	Description generation	`batch_6a00191957b8819083cf576e481c3429`	completed	May 10, 2026, 5:35 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0019a24abc819083441f178323c646`	completed	May 10, 2026, 5:37 a.m.

Created at: April 10, 2026, 5:05 a.m.