Triple

T27780768
Position Surface form Disambiguated ID Type / Status
Subject Cisco Certified DevNet Expert E699330 entity
Predicate relatedTo P37 FINISHED
Object Cisco Certified DevNet Professional
Cisco Certified DevNet Professional is a mid-level Cisco certification that validates advanced skills in developing, automating, and managing applications and infrastructure on Cisco platforms.
 E181697 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 DevNet Professional | Statement: [Cisco Certified DevNet Expert, relatedTo, Cisco Certified DevNet Professional]
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 DevNet Professional
Triple: [Cisco Certified DevNet Expert, relatedTo, Cisco Certified DevNet Professional]
Generated description
Cisco Certified DevNet Professional is a mid-level Cisco certification that validates advanced skills in developing, automating, and managing applications and infrastructure on Cisco platforms.

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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637ce6b688190813ef657673cb88d completed May 2, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b877f1a48190942ea16156de7e28 completed May 26, 2026, 3:12 p.m.
NEDg Description generation batch_6a15b904616c8190ae102e7d9055647b completed May 26, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a15b964f8a08190865d392fdfa7a7eb completed May 26, 2026, 3:16 p.m.
Created at: April 27, 2026, 5:09 p.m.