Triple
T425274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Mini-B |
E8193
|
entity |
| Predicate | usedOnDeviceType |
P4634
|
FINISHED |
| Object | digital camera |
—
|
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: digital camera | Statement: [USB Mini-B, usedOnDeviceType, digital camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnDeviceType Context triple: [USB Mini-B, usedOnDeviceType, digital camera]
-
A.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
B.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
C.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
D.
definesDeviceType
chosen
Indicates that one entity specifies or assigns the device type classification of another entity.
-
E.
usedOnMode
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
- 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.