Triple

T12325644
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate relatedStandard P37 FINISHED
Object xAPI E975152 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: xAPI | Statement: [SCORM, relatedStandard, xAPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: xAPI
Context triple: [SCORM, relatedStandard, 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. LTI
    LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
  • 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_69f62a9f708081908c052333c3b7df4c completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.