Triple
T36663855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Mini-A |
E905203
|
entity |
| Predicate | hostDeviceType |
P52057
|
FINISHED |
| Object | portable host devices |
—
|
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: portable host devices | Statement: [USB Mini-A, hostDeviceType, portable host devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostDeviceType Context triple: [USB Mini-A, hostDeviceType, portable host devices]
-
A.
hostType
chosen
Indicates the category or kind of host associated with or responsible for the related entity or activity.
-
B.
testedDeviceType
Indicates that one entity is the type or category of device on which another entity has been tested.
-
C.
targetedDevice
Indicates that one entity is the specific device toward which another entity’s action, effect, or configuration is directed.
-
D.
hostsUnitType
Indicates that one entity serves as a location or platform that accommodates or contains a specified type of unit.
-
E.
usedPlatformType
Indicates that an entity makes use of or operates on a particular type or category of 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c77ef4108190aa83a9f595e34905 |
completed | May 3, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.