Triple
T27780704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCIP |
E699329
|
entity |
| Predicate | certificationVendor |
P163345
|
FINISHED |
| Object | Cisco Systems |
—
|
NE NERFINISHED |
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 Systems | Statement: [CCIP, certificationVendor, Cisco Systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationVendor Context triple: [CCIP, certificationVendor, Cisco Systems]
-
A.
technologyVendor
Indicates that one entity serves as the provider or supplier of technology products or services to another entity.
-
B.
vendorType
Indicates the classification or category of a vendor based on the type of goods or services they provide.
-
C.
architectureVendor
Indicates that one entity serves as the provider or supplier of architectural services, solutions, or products to another entity.
-
D.
securityVendor
Indicates that one entity acts as a provider or supplier of security-related products or services to another entity.
-
E.
eligibleVendors
Indicates that certain vendors meet the required criteria or conditions to be considered eligible for a specified purpose or process.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:09 p.m.