Triple
T27714237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco Career Certifications |
E698772
|
entity |
| Predicate | hasRecertificationPolicy |
P30054
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Cisco Career Certifications, hasRecertificationPolicy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecertificationPolicy Context triple: [Cisco Career Certifications, hasRecertificationPolicy, yes]
-
A.
hasRecertificationRequirement
chosen
Indicates that an entity is subject to a requirement to periodically renew or update its certification to maintain its valid status.
-
B.
requiresCertification
Indicates that one entity can only be performed, accessed, or considered valid if another entity has an appropriate certification.
-
C.
mayRequireCertification
Indicates that performing or engaging in the referenced action or relationship might necessitate obtaining a formal certification or credential.
-
D.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
E.
hasEnrollmentPolicy
Indicates that there is a specific rule or set of rules governing who may enroll in, access, or participate in something and under what conditions.
- F. None of above.
Provenance (3 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_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: April 27, 2026, 3:03 p.m.