Triple
T29437886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFF-8470 |
E746628
|
entity |
| Predicate | connectorUsage |
P2529
|
FINISHED |
| Object | rack-level interconnects |
—
|
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: rack-level interconnects | Statement: [SFF-8470, connectorUsage, rack-level interconnects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectorUsage Context triple: [SFF-8470, connectorUsage, rack-level interconnects]
-
A.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
-
B.
usageStatus
Indicates the current state or condition of how something is being used, such as whether it is active, inactive, available, or in use.
-
C.
usageType
chosen
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
D.
screenUsedBy
Indicates that a screen (such as a display or monitor) is utilized or operated by a particular user or system.
-
E.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 28, 2026, 3:18 p.m.