Triple
T4031845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5ESS switch |
E83730
|
entity |
| Predicate | vendorDesignation |
P53551
|
FINISHED |
| Object | 5ESS-2000 in later releases |
—
|
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: 5ESS-2000 in later releases | Statement: [5ESS switch, vendorDesignation, 5ESS-2000 in later releases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vendorDesignation Context triple: [5ESS switch, vendorDesignation, 5ESS-2000 in later releases]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
C.
architectureVendor
Indicates that one entity serves as the provider or supplier of architectural services, solutions, or products to another entity.
-
D.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
E.
vendorSpecificTo
Indicates that something is tailored, restricted, or applicable only to a particular vendor or supplier, and not generally applicable across others.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.