Triple

T12325589
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate fullName P16 FINISHED
Object Sharable Content Object Reference Model 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: Sharable Content Object Reference Model | Statement: [SCORM, fullName, Sharable Content Object Reference Model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sharable Content Object Reference Model
Context triple: [SCORM, fullName, Sharable Content Object Reference Model]
  • A. OAIS reference model
    The OAIS reference model is an ISO standard framework that defines concepts and responsibilities for the long-term preservation and access of digital information in archival systems.
  • B. Object Linking and Embedding
    Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
  • C. Resource Description Framework in Attributes
    Resource Description Framework in Attributes (RDFa) is a W3C recommendation that extends HTML and other web documents with attributes for embedding structured, machine-readable metadata directly into human-readable content.
  • D. S-100 metadata framework
    The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
  • E. 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.
  • 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.