Triple

T12325613
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate usesConcept P531 FINISHED
Object SCORM package E293821 NE FINISHED

How this triple was built (2 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: SCORM package | Statement: [SCORM, usesConcept, SCORM package]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCORM package
Context triple: [SCORM, usesConcept, SCORM package]
  • A. SCORM chosen
    SCORM is a widely used e-learning standard that defines how online learning content and learning management systems communicate and track learner progress.
  • B. Canvas LMS
    Canvas LMS is a widely used cloud-based learning management system designed to help schools, universities, and organizations deliver, manage, and track online and blended courses.
  • C. Adobe Captivate
    Adobe Captivate is an eLearning authoring tool used to create interactive software simulations, quizzes, and responsive training content for web and mobile delivery.
  • D. LMS
    LMS is the commonly used abbreviation for the London Missionary Society, a major Protestant missionary organization founded in Britain in the late 18th century.
  • E. LMS
    LMS was one of the "Big Four" British railway companies, operating an extensive network across London, the Midlands, Scotland, and parts of Wales from 1923 until nationalisation in 1948.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 8, 2026, 9:53 p.m.