Triple
T22813005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IT for learning, education and training |
E565031
|
entity |
| Predicate | relatesToStandard |
P19701
|
FINISHED |
| Object | xAPI |
—
|
NE NERFINISHED |
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: xAPI | Statement: [IT for learning, education and training, relatesToStandard, xAPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: xAPI Context triple: [IT for learning, education and training, relatesToStandard, xAPI]
-
A.
xAPI
chosen
xAPI (Experience API) is an e-learning specification that enables tracking and sharing of detailed learning experiences across platforms and contexts.
-
B.
Experience API
Experience API (xAPI) is an e-learning software specification that tracks and records a wide range of learning experiences across platforms and devices as a successor to SCORM.
-
C.
SCORM
SCORM is a widely used e-learning standard that defines how online learning content and learning management systems communicate and track learner progress.
-
D.
LXP
LXP is the ICAO airline designator assigned to LAN Express, a Chilean regional carrier within the LATAM Airlines Group.
-
E.
LTI
LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.