Triple
T9897693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASUS VivoTab RT |
E182215
|
entity |
| Predicate | dockIncludes |
P91049
|
FINISHED |
| Object | 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: keyboard | Statement: [ASUS VivoTab RT, dockIncludes, keyboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dockIncludes Context triple: [ASUS VivoTab RT, dockIncludes, keyboard]
-
A.
docking
Indicates the action of one vehicle or structure aligning and securely connecting to another for transfer, access, or support.
-
B.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
-
C.
designedToEmbark
Indicates that something is created or configured with the specific purpose of beginning or initiating a journey, process, or undertaking.
-
D.
dockable
Indicates that one entity is capable of being securely connected or attached to another, typically in a way that allows them to function together as a unit.
-
E.
boatConfiguration
Indicates the specific arrangement, layout, or setup of components or features on a boat.
- F. None of above. chosen
Provenance (4 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_69cdb4ac27d88190b8255f7e616f95c9 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.