Triple
T27714225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco Career Certifications |
E698772
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object |
Cisco Certified CyberOps Associate
Cisco Certified CyberOps Associate is an entry-level cybersecurity certification from Cisco that validates foundational skills in security operations, threat analysis, and incident response for roles in a Security Operations Center (SOC).
|
E1785074
|
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: Cisco Certified CyberOps Associate | Statement: [Cisco Career Certifications, includesTrack, Cisco Certified CyberOps Associate]
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: Cisco Certified CyberOps Associate Triple: [Cisco Career Certifications, includesTrack, Cisco Certified CyberOps Associate]
Generated description
Cisco Certified CyberOps Associate is an entry-level cybersecurity certification from Cisco that validates foundational skills in security operations, threat analysis, and incident response for roles in a Security Operations Center (SOC).
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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635ce8d2081908d1653430d02b35e |
completed | May 2, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12e46395e48190bcf054f958449f0c |
completed | May 24, 2026, 11:43 a.m. |
| NEDg | Description generation | batch_6a12e528463c819087d479b960e660d2 |
completed | May 24, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12e58a24a08190baec56a49e9f24e8 |
completed | May 24, 2026, 11:48 a.m. |
Created at: April 27, 2026, 3:03 p.m.