Triple
T425298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Mini-B |
E8193
|
entity |
| Predicate | usedWithProtocol |
P4791
|
FINISHED |
| Object | Mass Storage Class |
—
|
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: Mass Storage Class | Statement: [USB Mini-B, usedWithProtocol, Mass Storage Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithProtocol Context triple: [USB Mini-B, usedWithProtocol, Mass Storage Class]
-
A.
usedInProtocol
Indicates that something (e.g., a method, component, or resource) is employed as part of the steps or structure of a specific protocol.
-
B.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
C.
hasProtocol
Indicates that an entity uses, follows, or is governed by a specified protocol or set of procedural rules.
-
D.
usesProtocolSuite
Indicates that one entity operates or communicates by employing the set of communication protocols defined by another entity’s protocol suite.
-
E.
specifiesProtocol
Indicates that one entity defines or designates the communication or interaction protocol to be used by another entity.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed56ab481909eec289075496260 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd6736c81909a6ca549f77b4345 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.