Triple

T21101581
Position Surface form Disambiguated ID Type / Status
Subject INCOSE Systems Engineering Professional certification program E519917 entity
Predicate hasLevel P2393 FINISHED
Object ESEP NE NERFINISHED

How this triple was built (3 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: ESEP | Statement: [INCOSE Systems Engineering Professional certification program, hasLevel, ESEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESEP
Context triple: [INCOSE Systems Engineering Professional certification program, hasLevel, ESEP]
  • A. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • B. SEPP
    SEPP (Security Edge Protection Proxy) is a 5G network security function that protects signaling traffic at the network edge, enabling secure and trusted interconnection between different operators’ networks.
  • C. CSEPP
    CSEPP is a U.S. federal emergency preparedness program designed to protect communities living near chemical weapons stockpile sites through planning, training, equipment, and public alert systems.
  • D. SCSEP
    SCSEP is a U.S. Department of Labor program that provides part-time, community service-based job training for low-income adults aged 55 and older to help them gain skills and transition to unsubsidized employment.
  • E. OSEP
    OSEP is an advanced penetration testing certification from Offensive Security that focuses on evasive attack techniques and bypassing modern defenses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESEP
Target entity description: ESEP (Expert Systems Engineering Professional) is INCOSE’s highest-level, internationally recognized certification for highly experienced systems engineering practitioners.
  • A. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • B. SEPP
    SEPP (Security Edge Protection Proxy) is a 5G network security function that protects signaling traffic at the network edge, enabling secure and trusted interconnection between different operators’ networks.
  • C. CSEPP
    CSEPP is a U.S. federal emergency preparedness program designed to protect communities living near chemical weapons stockpile sites through planning, training, equipment, and public alert systems.
  • D. SCSEP
    SCSEP is a U.S. Department of Labor program that provides part-time, community service-based job training for low-income adults aged 55 and older to help them gain skills and transition to unsubsidized employment.
  • E. OSEP
    OSEP is an advanced penetration testing certification from Offensive Security that focuses on evasive attack techniques and bypassing modern defenses.
  • F. None of above. chosen

Provenance (2 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.
Created at: April 16, 2026, 2:53 p.m.