Triple
T321537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Type-B |
E6424
|
entity |
| Predicate | dataTransferSupport |
P203
|
FINISHED |
| Object | USB 1.1 |
—
|
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: USB 1.1 | Statement: [USB Type-B, dataTransferSupport, USB 1.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTransferSupport Context triple: [USB Type-B, dataTransferSupport, USB 1.1]
-
A.
dataTransferType
Indicates the method or mode by which data is transmitted or exchanged between entities.
-
B.
supportsOffice
Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
-
C.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
-
D.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportedPlatform
Indicates that one entity (such as a system, application, or service) is compatible with and can operate on a particular platform.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.