Triple

T12325646
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate relatedStandard P37 FINISHED
Object cmi5
cmi5 is a modern e-learning specification that defines how learning content and learning management systems communicate using xAPI, designed as a more flexible and web-friendly successor to SCORM.
 E975159 NE FINISHED

How this triple was built (4 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: cmi5 | Statement: [SCORM, relatedStandard, cmi5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: cmi5
Context triple: [SCORM, relatedStandard, cmi5]
  • A. CMI
    CMI is the stock ticker symbol for Cummins Inc., a major American manufacturer of engines, power systems, and related technologies.
  • B. CMI
    CMI is a Finnish independent peace mediation organization founded by Nobel Peace Prize laureate Martti Ahtisaari that works to prevent and resolve violent conflicts worldwide.
  • C. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • D. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • E. cmiique iitom
    cmiique iitom is the name that Seri people use in their own language to refer to the Seri language itself.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: cmi5
Triple: [SCORM, relatedStandard, cmi5]
Generated description
cmi5 is a modern e-learning specification that defines how learning content and learning management systems communicate using xAPI, designed as a more flexible and web-friendly successor to SCORM.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: cmi5
Target entity description: cmi5 is a modern e-learning specification that defines how learning content and learning management systems communicate using xAPI, designed as a more flexible and web-friendly successor to SCORM.
  • A. CMI
    CMI is the stock ticker symbol for Cummins Inc., a major American manufacturer of engines, power systems, and related technologies.
  • B. CMI
    CMI is a Finnish independent peace mediation organization founded by Nobel Peace Prize laureate Martti Ahtisaari that works to prevent and resolve violent conflicts worldwide.
  • C. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • D. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • E. cmiique iitom
    cmiique iitom is the name that Seri people use in their own language to refer to the Seri language itself.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69f61f9493d081909a543bcafeb508d1 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f620ad9ec0819099909142fbad6412 completed May 2, 2026, 4:05 p.m.
Created at: April 8, 2026, 9:53 p.m.