Triple
T9897674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASUS VivoTab RT |
E182215
|
entity |
| Predicate | supportsMultiTouch |
P22670
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [ASUS VivoTab RT, supportsMultiTouch, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultiTouch Context triple: [ASUS VivoTab RT, supportsMultiTouch, yes]
-
A.
hasTouchControls
chosen
Indicates that an entity supports or is operated through touch-based input controls.
-
B.
multitaskingSupport
Indicates that an entity is capable of performing multiple tasks or operations concurrently or in parallel.
-
C.
supportsMultisampling
Indicates that an entity provides or enables multisampling functionality, typically for improved rendering quality.
-
D.
supportsUserInteraction
Indicates that an entity enables or facilitates direct interaction with a user, such as receiving input or providing responsive feedback.
-
E.
supportsMultipleWindows
Indicates that the subject can handle or display more than one window or view simultaneously.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.