Triple
T5102279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NuvoMedia |
E115007
|
entity |
| Predicate | hasDeviceType |
P10596
|
FINISHED |
| Object | dedicated ebook reader |
—
|
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: dedicated ebook reader | Statement: [NuvoMedia, hasDeviceType, dedicated ebook reader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeviceType Context triple: [NuvoMedia, hasDeviceType, dedicated ebook reader]
-
A.
definesDeviceType
Indicates that one entity specifies or assigns the device type classification of another entity.
-
B.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
C.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
D.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
E.
connectsDeviceType
chosen
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.