Triple

T12325657
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate documentation P4310 FINISHED
Object SCORM 2004 4th Edition specification 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 4th Edition specification | Statement: [SCORM, documentation, SCORM 2004 4th Edition specification]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCORM 2004 4th Edition specification
Context triple: [SCORM, documentation, SCORM 2004 4th Edition specification]
  • 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. xAPI
    xAPI (Experience API) is an e-learning specification that enables tracking and sharing of detailed learning experiences across platforms and contexts.
  • C. ECMA-404
    ECMA-404 is the ECMA International standard that formally defines the JSON (JavaScript Object Notation) data interchange format.
  • D. Ecma TC45
    Ecma TC45 is the Ecma International technical committee responsible for standardizing and evolving the Office Open XML document formats.
  • E. MPEG-21
    MPEG-21 is a multimedia framework standard that defines how digital content can be described, managed, protected, and exchanged across diverse platforms and networks.
  • 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_69f6555e525c8190aa72da362fae1e3e completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:53 p.m.