Triple

T24813361

Position	Surface form	Disambiguated ID	Type / Status
Subject	JPEG 2000	`E620848`	entity
Predicate	definedInPart	`P157742`	FINISHED
Object	ISO/IEC 15444-2 ISO/IEC 15444-2 is the international standard that specifies the extensions and advanced features of the JPEG 2000 image coding system beyond the core coding defined in Part 1.	`E1661728`	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: ISO/IEC 15444-2 | Statement: [JPEG 2000, definedInPart, ISO/IEC 15444-2]

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: ISO/IEC 15444-2
Triple: [JPEG 2000, definedInPart, ISO/IEC 15444-2]

Generated description

ISO/IEC 15444-2 is the international standard that specifies the extensions and advanced features of the JPEG 2000 image coding system beyond the core coding defined in Part 1.

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

Target predicate: definedInPart
Context triple: [JPEG 2000, definedInPart, ISO/IEC 15444-2]

A. definedInPart chosen
Indicates that something is specified, described, or formally established within a particular part or section of a larger whole.
B. partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by another entity.
C. usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
D. definedInField
Indicates that something (such as a concept, method, or element) is formally specified, declared, or established within a particular field, domain, or area of study.
E. areDefinedIn
Indicates that the referenced entities are specified, described, or formally established within a particular source, context, or scope.
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_69e2fabfd4648190bd0e5c7f4dbb6cab`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f453035f508190be83a3d521723acf`	completed	May 1, 2026, 7:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10488894b4819086b311b0098f0d67`	completed	May 22, 2026, 12:14 p.m.
NEDg	Description generation	`batch_6a1049b63de881908e04b30b555d7809`	completed	May 22, 2026, 12:19 p.m.
NED2	Entity disambiguation (via description)	`batch_6a104a82de208190b720e5690a5094c0`	completed	May 22, 2026, 12:22 p.m.
PD	Predicate disambiguation	`batch_69f44d6ef33081908f5d36ba1ae5f473`	completed	May 1, 2026, 6:51 a.m.

Created at: April 18, 2026, 4:56 a.m.