Triple

T13527886

Position	Surface form	Disambiguated ID	Type / Status
Subject	School of Environmental Sciences	`E323057`	entity
Predicate	affiliation	`P10`	FINISHED
Object	Faculty of Science and Engineering, University of Liverpool The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and environmental disciplines, supporting research and teaching across these fields.	`E1048954`	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 Engineering, University of Liverpool | Statement: [School of Environmental Sciences, affiliation, Faculty of Science and Engineering, University of Liverpool]

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

Target entity: Faculty of Science and Engineering, University of Liverpool
Context triple: [School of Environmental Sciences, affiliation, Faculty of Science and Engineering, University of Liverpool]

A. University of Liverpool
The University of Liverpool is a major public research university in Liverpool, England, known for its strong emphasis on science and engineering, membership in leading research collaborations, and global academic reputation.
B. Faculty of Science and Technology, Lancaster University
The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
C. Faculty of Sciences, University of York
The Faculty of Sciences at the University of York is the academic division that oversees and coordinates the university’s science departments and research activities.
D. University of Liverpool Council
The University of Liverpool Council is the university’s governing body responsible for overall strategic direction, financial oversight, and high-level decision-making.
E. UCLan Faculty of Science and Technology
UCLan Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a broad range of scientific and technological 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 Engineering, University of Liverpool
Triple: [School of Environmental Sciences, affiliation, Faculty of Science and Engineering, University of Liverpool]

Generated description

The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and environmental disciplines, supporting research and teaching across these fields.

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

Target entity: Faculty of Science and Engineering, University of Liverpool
Target entity description: The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and environmental disciplines, supporting research and teaching across these fields.

A. University of Liverpool
The University of Liverpool is a major public research university in Liverpool, England, known for its strong emphasis on science and engineering, membership in leading research collaborations, and global academic reputation.
B. Faculty of Science and Technology, Lancaster University
The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
C. Faculty of Sciences, University of York
The Faculty of Sciences at the University of York is the academic division that oversees and coordinates the university’s science departments and research activities.
D. University of Liverpool Council
The University of Liverpool Council is the university’s governing body responsible for overall strategic direction, financial oversight, and high-level decision-making.
E. UCLan Faculty of Science and Technology
UCLan Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a broad range of scientific and 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_69d80766a21881909f21a1b7421d3b8a`	completed	April 9, 2026, 8:09 p.m.
NER	Named-entity recognition	`batch_69dbafb8e0cc8190b47f6aeb8ced470e`	completed	April 12, 2026, 2:44 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f76ba9fccc81908ec2e33d66aae8ea`	completed	May 3, 2026, 3:37 p.m.
NEDg	Description generation	`batch_69f77640b5308190aaa50e8d5d871832`	completed	May 3, 2026, 4:22 p.m.
NED2	Entity disambiguation (via description)	`batch_69f7792110e48190a29b6e89c6ebcc03`	completed	May 3, 2026, 4:34 p.m.

Created at: April 9, 2026, 9:44 p.m.