Triple

T12325633
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate basedOn P98 FINISHED
Object IMS Content Packaging
IMS Content Packaging is an e-learning specification that defines a standard way to organize, package, and exchange digital learning content across different learning management systems.
E975157 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: IMS Content Packaging | Statement: [SCORM, basedOn, IMS Content Packaging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMS Content Packaging
Context triple: [SCORM, basedOn, IMS Content Packaging]
  • A. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • B. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • C. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • D. IMS
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • E. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical 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: IMS Content Packaging
Triple: [SCORM, basedOn, IMS Content Packaging]
Generated description
IMS Content Packaging is an e-learning specification that defines a standard way to organize, package, and exchange digital learning content across different learning management systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IMS Content Packaging
Target entity description: IMS Content Packaging is an e-learning specification that defines a standard way to organize, package, and exchange digital learning content across different learning management systems.
  • A. IMS
    IMS (IP Multimedia Subsystem) is a standardized architectural framework for delivering IP-based multimedia services over mobile and fixed networks.
  • B. IMS
    IMS is a leading biomedical research institute focused on understanding metabolic diseases such as obesity and diabetes.
  • C. IMS
    IMS is the NATO International Military Staff, the body that provides strategic military advice and support to NATO’s decision-making structures.
  • D. IMS
    IMS is the IEEE MTT-S International Microwave Symposium, a leading annual conference and exhibition focused on microwave theory, techniques, and technologies.
  • E. IMS
    IMS is IBM's hierarchical database and transaction management system widely used on mainframe platforms for high-volume, mission-critical 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8d27288190bdf32acd600141db completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9493d081909a543bcafeb508d1 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f620ad9ec0819099909142fbad6412 completed May 2, 2026, 4:05 p.m.
Created at: April 8, 2026, 9:53 p.m.