Triple

T829164

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shenzhen Nanshan District	`E17924`	entity
Predicate	contains	`P35`	FINISHED
Object	Southern University of Science and Technology Southern University of Science and Technology is a public research university in Shenzhen, China, known for its strong emphasis on science, engineering, and innovation-driven education and research.	`E100003`	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: Southern University of Science and Technology | Statement: [Shenzhen Nanshan District, contains, Southern University of Science and Technology]

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

Target entity: Southern University of Science and Technology
Context triple: [Shenzhen Nanshan District, contains, Southern University of Science and Technology]

A. Hong Kong University of Science and Technology
Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
B. The Chinese University of Hong Kong
The Chinese University of Hong Kong is a major public research university in Hong Kong known for its bilingual education, collegiate system, and strong emphasis on both Chinese and international scholarship.
C. Tsinghua University
Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
D. Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
E. Nanyang Technological University
Nanyang Technological University is a leading research-intensive public university in Singapore known for its strengths in engineering, technology, and innovation.
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: Southern University of Science and Technology
Triple: [Shenzhen Nanshan District, contains, Southern University of Science and Technology]

Generated description

Southern University of Science and Technology is a public research university in Shenzhen, China, known for its strong emphasis on science, engineering, and innovation-driven education and research.

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

Target entity: Southern University of Science and Technology
Target entity description: Southern University of Science and Technology is a public research university in Shenzhen, China, known for its strong emphasis on science, engineering, and innovation-driven education and research.

A. Hong Kong University of Science and Technology
Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
B. The Chinese University of Hong Kong
The Chinese University of Hong Kong is a major public research university in Hong Kong known for its bilingual education, collegiate system, and strong emphasis on both Chinese and international scholarship.
C. Tsinghua University
Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
D. Fudan University
Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
E. Nanyang Technological University
Nanyang Technological University is a leading research-intensive public university in Singapore known for its strengths in engineering, technology, and innovation.
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_69a4937c9c188190aaa216f6b466f452`	completed	March 1, 2026, 7:29 p.m.
NER	Named-entity recognition	`batch_69a4ab9b458881909aa23f0eb7cbc87f`	completed	March 1, 2026, 9:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69a7929458648190a88390a1a3207ad0`	completed	March 4, 2026, 2:01 a.m.
NEDg	Description generation	`batch_69a796c83a888190a595c76c9d94105b`	completed	March 4, 2026, 2:19 a.m.
NED2	Entity disambiguation (via description)	`batch_69a7971e8eb88190a1aae5e03f8ea928`	completed	March 4, 2026, 2:21 a.m.

Created at: March 1, 2026, 7:38 p.m.