Triple
T12325625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCORM |
E293821
|
entity |
| Predicate | version |
P3286
|
FINISHED |
| Object | SCORM 2004 |
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 2004 | Statement: [SCORM, version, SCORM 2004]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCORM 2004 Context triple: [SCORM, version, SCORM 2004]
-
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.
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.
-
C.
LTI
LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
-
D.
Authorware
Authorware is a now-discontinued visual authoring tool used to create interactive multimedia and e-learning applications, originally developed and popularized by Macromedia.
-
E.
SPEM
SPEM (Software & Systems Process Engineering Metamodel) is an OMG standard modeling language used to define, document, and manage software and systems development processes.
- 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.