Triple

T21101598
Position Surface form Disambiguated ID Type / Status
Subject INCOSE Systems Engineering Professional certification program E519917 entity
Predicate alignedWith P1140 FINISHED
Object INCOSE competency framework
The INCOSE competency framework is a structured model that defines the knowledge, skills, and behaviors required for effective systems engineering practice and professional development.
E1466128 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: INCOSE competency framework | Statement: [INCOSE Systems Engineering Professional certification program, alignedWith, INCOSE competency framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INCOSE competency framework
Context triple: [INCOSE Systems Engineering Professional certification program, alignedWith, INCOSE competency framework]
  • A. INCOSE Systems Engineering Professional certification program
    The INCOSE Systems Engineering Professional certification program is a globally recognized credentialing scheme that validates an individual's knowledge and experience in systems engineering based on INCOSE standards and best practices.
  • B. INCOSE
    INCOSE is a global professional organization dedicated to advancing the discipline and practice of systems engineering across industry, government, and academia.
  • C. INCOSE Systems Engineering Handbook
    The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
  • D. INCOSE Systems Engineering Vision
    The INCOSE Systems Engineering Vision is a strategic document that outlines the future direction, challenges, and opportunities for the systems engineering discipline to guide practitioners, organizations, and policymakers.
  • E. NASA technology readiness level framework
    The NASA technology readiness level framework is a standardized scale used by NASA to assess and communicate the maturity of technologies from initial concept through to spaceflight-ready implementation.
  • 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: INCOSE competency framework
Triple: [INCOSE Systems Engineering Professional certification program, alignedWith, INCOSE competency framework]
Generated description
The INCOSE competency framework is a structured model that defines the knowledge, skills, and behaviors required for effective systems engineering practice and professional development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: INCOSE competency framework
Target entity description: The INCOSE competency framework is a structured model that defines the knowledge, skills, and behaviors required for effective systems engineering practice and professional development.
  • A. INCOSE Systems Engineering Professional certification program
    The INCOSE Systems Engineering Professional certification program is a globally recognized credentialing scheme that validates an individual's knowledge and experience in systems engineering based on INCOSE standards and best practices.
  • B. INCOSE
    INCOSE is a global professional organization dedicated to advancing the discipline and practice of systems engineering across industry, government, and academia.
  • C. INCOSE Systems Engineering Handbook
    The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
  • D. INCOSE Systems Engineering Vision
    The INCOSE Systems Engineering Vision is a strategic document that outlines the future direction, challenges, and opportunities for the systems engineering discipline to guide practitioners, organizations, and policymakers.
  • E. NASA technology readiness level framework
    The NASA technology readiness level framework is a standardized scale used by NASA to assess and communicate the maturity of technologies from initial concept through to spaceflight-ready implementation.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5e16cc81908257ccf8c9a59117 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a62bd0c8190b10e3b472ba7e330 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c9f10248190b4eab0842c6943f1 completed May 17, 2026, 6:13 a.m.
NED2 Entity disambiguation (via description) batch_6a095d6457608190904688689ec8982e completed May 17, 2026, 6:17 a.m.
Created at: April 16, 2026, 2:53 p.m.