Triple

T1231448

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of Kiel	`E26450`	entity
Predicate	hasResearchCenter	`P40`	FINISHED
Object	Kiel Nano, Surface and Interface Science (KiNSIS) Kiel Nano, Surface and Interface Science (KiNSIS) is a research center focused on cutting-edge nanoscience and surface/interface physics and chemistry, integrating interdisciplinary work on nanoscale materials, devices, and phenomena.	`E140573`	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: Kiel Nano, Surface and Interface Science (KiNSIS) | Statement: [University of Kiel, hasResearchCenter, Kiel Nano, Surface and Interface Science (KiNSIS)]

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

Target entity: Kiel Nano, Surface and Interface Science (KiNSIS)
Context triple: [University of Kiel, hasResearchCenter, Kiel Nano, Surface and Interface Science (KiNSIS)]

A. Joint School of Nanoscience and Nanoengineering
The Joint School of Nanoscience and Nanoengineering is an interdisciplinary graduate research institution in North Carolina focused on advanced study and innovation in nanoscience and nanoengineering.
B. Kavli Institute for Nanoscience
The Kavli Institute for Nanoscience is a leading research center dedicated to advancing fundamental and applied science at the nanoscale, often through interdisciplinary collaborations in physics, materials science, and related fields.
C. Institute for Materials Research
The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
D. AVS Science and Technology of Materials, Interfaces, and Processing
AVS Science and Technology of Materials, Interfaces, and Processing is a professional society focused on advancing the science and technology of materials, surfaces, interfaces, and related processing techniques.
E. Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
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: Kiel Nano, Surface and Interface Science (KiNSIS)
Triple: [University of Kiel, hasResearchCenter, Kiel Nano, Surface and Interface Science (KiNSIS)]

Generated description

Kiel Nano, Surface and Interface Science (KiNSIS) is a research center focused on cutting-edge nanoscience and surface/interface physics and chemistry, integrating interdisciplinary work on nanoscale materials, devices, and phenomena.

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

Target entity: Kiel Nano, Surface and Interface Science (KiNSIS)
Target entity description: Kiel Nano, Surface and Interface Science (KiNSIS) is a research center focused on cutting-edge nanoscience and surface/interface physics and chemistry, integrating interdisciplinary work on nanoscale materials, devices, and phenomena.

A. Joint School of Nanoscience and Nanoengineering
The Joint School of Nanoscience and Nanoengineering is an interdisciplinary graduate research institution in North Carolina focused on advanced study and innovation in nanoscience and nanoengineering.
B. Kavli Institute for Nanoscience
The Kavli Institute for Nanoscience is a leading research center dedicated to advancing fundamental and applied science at the nanoscale, often through interdisciplinary collaborations in physics, materials science, and related fields.
C. Institute for Materials Research
The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
D. AVS Science and Technology of Materials, Interfaces, and Processing
AVS Science and Technology of Materials, Interfaces, and Processing is a professional society focused on advancing the science and technology of materials, surfaces, interfaces, and related processing techniques.
E. Department of Materials Science and NanoEngineering
The Department of Materials Science and NanoEngineering is an academic unit specializing in the study and engineering of materials and nanoscale systems, offering research and education in areas such as nanotechnology, advanced materials, and related engineering applications.
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_69a4948571c88190a9191e451e6035fd`	completed	March 1, 2026, 7:33 p.m.
NER	Named-entity recognition	`batch_69a4be5a25348190a0665b6324c4d8f5`	completed	March 1, 2026, 10:31 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ac8a1457a08190aef2f7fed6c6725f`	completed	March 7, 2026, 8:27 p.m.
NEDg	Description generation	`batch_69ac8a73ac2c8190a5617c6f3d4ae5d1`	completed	March 7, 2026, 8:28 p.m.
NED2	Entity disambiguation (via description)	`batch_69ac8afa5a4881908d8373915eaafb5b`	completed	March 7, 2026, 8:30 p.m.

Created at: March 1, 2026, 7:47 p.m.