Triple

T13611511

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Science and Technology, Keio University	`E325197`	entity
Predicate	hasName	`P744`	FINISHED
Object	Faculty of Science and Technology The Faculty of Science and Technology at Keio University is an academic division offering education and research programs across a broad range of scientific and engineering disciplines.	`E325197`	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: [Faculty of Science and Technology, Keio University, hasName, 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: [Faculty of Science and Technology, Keio University, hasName, Faculty of Science and Technology]

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 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.
D. Faculty of Science and Technology
The Faculty of Science and Technology is a major academic division of Universiti Kebangsaan Malaysia that offers education and research programs across a broad range of scientific and technological disciplines.
E. Faculty of Science and Technology
The Faculty of Science and Technology is a major academic division of the University of Debrecen that offers education and conducts research in the natural and applied sciences.
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: [Faculty of Science and Technology, Keio University, hasName, Faculty of Science and Technology]

Generated description

The Faculty of Science and Technology at Keio University is an academic division offering education and research programs across a broad range of scientific and engineering disciplines.

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 Keio University is an academic division offering education and research programs across a broad range of scientific and engineering disciplines.

A. Faculty of Science and Technology chosen
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.
B. Faculty of Science and Technology
The Faculty of Science and Technology is an academic division of Seikei University in Japan that offers education and research programs in scientific and engineering disciplines.
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 Universiti Kebangsaan Malaysia that offers education and research programs across a broad range of scientific and technological disciplines.
E. 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.
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_69d8076aae28819092cf636190ee5529`	completed	April 9, 2026, 8:09 p.m.
NER	Named-entity recognition	`batch_69dbb0aa9a1481908c6f92495aff86c6`	completed	April 12, 2026, 2:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f77f9a9f9c81909b0a8f4f51c461ae`	completed	May 3, 2026, 5:02 p.m.
NEDg	Description generation	`batch_69f78070e95c819088982e26fe2d8e26`	completed	May 3, 2026, 5:05 p.m.
NED2	Entity disambiguation (via description)	`batch_69f7815a858c8190a9ae47012d04f8e1`	completed	May 3, 2026, 5:09 p.m.

Created at: April 9, 2026, 9:50 p.m.