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.