Triple
T2106892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ChromeOS tablet |
E42413
|
entity |
| Predicate | mayIncludeAccessory |
P31021
|
FINISHED |
| Object | detachable 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: detachable keyboard | Statement: [ChromeOS tablet, mayIncludeAccessory, detachable keyboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeAccessory Context triple: [ChromeOS tablet, mayIncludeAccessory, detachable keyboard]
-
A.
accessory
chosen
Indicates that one entity serves as a supplementary or supporting item to another, often enhancing its function, use, or appearance.
-
B.
canBring
Indicates that one entity has the ability or permission to bring another entity or item to a particular place or context.
-
C.
mayEnter
Indicates that one entity is permitted or authorized to enter or access another entity or location.
-
D.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
E.
accessibleOn
Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbadf12b88190acc513d8512777b2 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.