Triple
T29681442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VivoBook |
E750961
|
entity |
| Predicate | hasKeyboardFeature |
P16221
|
FINISHED |
| Object | chiclet keyboard |
—
|
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: chiclet keyboard | Statement: [VivoBook, hasKeyboardFeature, chiclet keyboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyboardFeature Context triple: [VivoBook, hasKeyboardFeature, chiclet keyboard]
-
A.
hasKeyboard
chosen
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
B.
hasKeyboardCount
Indicates the number of keyboards associated with a given entity.
-
C.
keyboardFeature
Indicates that one entity is a feature, characteristic, or functional attribute of a keyboard.
-
D.
supportsKeyboard
Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
-
E.
hasFunctionKeys
Indicates that an object or device possesses dedicated keys assigned to specific functions or shortcuts.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 7:10 p.m.