Triple
T23277566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil PC2 |
E588762
|
entity |
| Predicate | supportsSplitKeyboard |
P151642
|
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: [Kurzweil PC2, supportsSplitKeyboard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSplitKeyboard Context triple: [Kurzweil PC2, supportsSplitKeyboard, true]
-
A.
supportsSplitScreen
Indicates that one entity enables or is compatible with displaying multiple views or applications simultaneously in a split-screen layout.
-
B.
supportsKeyboard
Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
-
C.
supportsKeyboardAndMouse
Indicates that the subject provides compatibility with and can be operated using both a keyboard and a mouse.
-
D.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
E.
hasKeyboardCount
Indicates the number of keyboards associated with a given entity.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:49 p.m.