Triple

T27561208

Position	Surface form	Disambiguated ID	Type / Status
Subject	Deployment Imaging Servicing and Management	`E695772`	entity
Predicate	supportsImageFormat	`P82508`	FINISHED
Object	WIM WIM (Windows Imaging Format) is a file-based disk image format developed by Microsoft for deploying and distributing Windows operating system images.	`E1776858`	NE FINISHED

How this triple was built (3 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: WIM | Statement: [Deployment Imaging Servicing and Management, supportsImageFormat, WIM]

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: WIM
Triple: [Deployment Imaging Servicing and Management, supportsImageFormat, WIM]

Generated description

WIM (Windows Imaging Format) is a file-based disk image format developed by Microsoft for deploying and distributing Windows operating system images.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: supportsImageFormat
Context triple: [Deployment Imaging Servicing and Management, supportsImageFormat, WIM]

A. supportsRasterFormat
Indicates that one entity is capable of handling, processing, or outputting data in a specified raster image format.
B. supportsJPEG
Indicates that one entity is capable of handling, displaying, or processing JPEG image files for another entity or in a given context.
C. supportsLibraryFormat
Indicates that one entity is capable of handling, using, or being compatible with a specified library format associated with another entity.
D. supportsDiskImageFormat chosen
Indicates that one entity is capable of handling, using, or being compatible with a specified disk image format.
E. supportsHEIF
Indicates that one entity provides compatibility with or the ability to handle HEIF (High Efficiency Image File) format for another entity.
F. None of above.

Provenance (6 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_69ef5387e97c8190a9dab040d21cd048`	completed	April 27, 2026, 12:16 p.m.
NER	Named-entity recognition	`batch_69ff069ec1348190815375c5c9e38404`	completed	May 9, 2026, 10:04 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12c5ce8c78819084b8f6ae576acacb`	completed	May 24, 2026, 9:33 a.m.
NEDg	Description generation	`batch_6a12c6596d788190bc4d6ed7f0b6c378`	completed	May 24, 2026, 9:35 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12c6e8932c8190877f8f62c54526f7`	completed	May 24, 2026, 9:37 a.m.
PD	Predicate disambiguation	`batch_69ff05ba57f88190a45d20f18044e0fb`	completed	May 9, 2026, 10 a.m.

Created at: April 27, 2026, 1:39 p.m.