Triple
T21741573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12.9‑inch iPad Pro (1st generation) |
E536671
|
entity |
| Predicate | supportsSmartKeyboard |
P98894
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [12.9‑inch iPad Pro (1st generation), supportsSmartKeyboard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSmartKeyboard Context triple: [12.9‑inch iPad Pro (1st generation), supportsSmartKeyboard, true]
-
A.
supportsKeyboard
chosen
Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
-
B.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
C.
supportsKeyboardAndMouse
Indicates that the subject provides compatibility with and can be operated using both a keyboard and a mouse.
-
D.
hasTypingFeature
Indicates that an entity possesses or supports a particular typing-related characteristic or capability.
-
E.
supportsKeymap
Indicates that one entity is compatible with and can operate using a specified keymap configuration.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7250d48190aa63f89db017ef70 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.