Triple
T12325568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTI |
E293820
|
entity |
| Predicate | version |
P3286
|
FINISHED |
| Object | LTI 1.3 |
E293820
|
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: LTI 1.3 | Statement: [LTI, version, LTI 1.3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTI 1.3 Context triple: [LTI, version, LTI 1.3]
-
A.
LTI
chosen
LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
-
B.
LTI Gray Matter
LTI Gray Matter was a video game development studio known for creating licensed titles, including the 2002 Spider-Man game adaptation.
-
C.
xAPI
xAPI (Experience API) is an e-learning specification that enables tracking and sharing of detailed learning experiences across platforms and contexts.
-
D.
SCORM
SCORM is a widely used e-learning standard that defines how online learning content and learning management systems communicate and track learner progress.
-
E.
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.
- 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_69f6346a3f34819091882004ab558347 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.