Triple

T5983016

Position	Surface form	Disambiguated ID	Type / Status
Subject	National University of Mongolia	`E133162`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	School of Engineering and Applied Sciences The School of Engineering and Applied Sciences is a faculty of the National University of Mongolia that provides education and research in engineering and technology-related disciplines.	`E558014`	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 Engineering and Applied Sciences | Statement: [National University of Mongolia, hasFaculty, School of Engineering and Applied Sciences]

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

Target entity: School of Engineering and Applied Sciences
Context triple: [National University of Mongolia, hasFaculty, School of Engineering and Applied Sciences]

A. School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, offering interdisciplinary research and education in fields spanning computer science, engineering, and applied mathematics.
B. School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences at the University at Buffalo is a major public engineering school known for its comprehensive undergraduate and graduate programs in engineering and computer science, as well as its strong research output.
C. School of Engineering and Applied Science
The School of Engineering and Applied Science at the University of Pennsylvania is the university’s engineering school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, electrical engineering, and mechanical engineering.
D. School of Engineering and Applied Science
The School of Engineering and Applied Science is George Washington University's engineering college, offering undergraduate and graduate programs in fields such as engineering, computer science, and applied sciences.
E. School of Engineering and Applied Science
The School of Engineering and Applied Science is Princeton University's engineering division, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical engineering, and related 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: School of Engineering and Applied Sciences
Triple: [National University of Mongolia, hasFaculty, School of Engineering and Applied Sciences]

Generated description

The School of Engineering and Applied Sciences is a faculty of the National University of Mongolia that provides education and research in engineering and technology-related disciplines.

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

Target entity: School of Engineering and Applied Sciences
Target entity description: The School of Engineering and Applied Sciences is a faculty of the National University of Mongolia that provides education and research in engineering and technology-related disciplines.

A. School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, offering interdisciplinary research and education in fields spanning computer science, engineering, and applied mathematics.
B. School of Engineering and Applied Sciences
The School of Engineering and Applied Sciences at the University at Buffalo is a major public engineering school known for its comprehensive undergraduate and graduate programs in engineering and computer science, as well as its strong research output.
C. School of Engineering and Applied Science
The School of Engineering and Applied Science is the University of Virginia’s engineering college, offering undergraduate and graduate programs in engineering and related technical fields.
D. School of Engineering and Applied Science
The School of Engineering and Applied Science is Gonzaga University's division dedicated to engineering and technology-focused education and research.
E. School of Engineering and Applied Science
The School of Engineering and Applied Science is Princeton University's engineering division, offering undergraduate and graduate programs in fields such as computer science, electrical engineering, mechanical engineering, and related applied sciences.
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_69c0086f45e8819098f73dd16d45ec9d`	completed	March 22, 2026, 3:19 p.m.
NER	Named-entity recognition	`batch_69c04a6a9f2c8190b900cd7e3ab9fe42`	completed	March 22, 2026, 8 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c0e425c3e08190a87ced99d38c4f1d`	completed	March 23, 2026, 6:56 a.m.
NEDg	Description generation	`batch_69c0e618863881909d8c7b05e646c02a`	completed	March 23, 2026, 7:04 a.m.
NED2	Entity disambiguation (via description)	`batch_69c0e6a24be48190a5d5e71b38f73758`	completed	March 23, 2026, 7:07 a.m.

Created at: March 22, 2026, 4:04 p.m.