Triple
T10046441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Silicon MacBook Pro |
E207626
|
entity |
| Predicate | availableDisplaySize |
P13749
|
FINISHED |
| Object | 13-inch |
—
|
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: 13-inch | Statement: [Apple Silicon MacBook Pro, availableDisplaySize, 13-inch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableDisplaySize Context triple: [Apple Silicon MacBook Pro, availableDisplaySize, 13-inch]
-
A.
availableDisplaySizes
chosen
Indicates the set of display size options that can be provided or used for a given entity.
-
B.
externalDisplaySize
Indicates the size or dimensions of an external display associated with an entity.
-
C.
combinedDisplaySize
Indicates the total display area resulting from combining the screen sizes of multiple devices or components.
-
D.
integratedDisplaySize
Indicates the size or dimensions of a built-in or non-detachable display associated with an entity.
-
E.
externalDisplayResolution
Indicates the resolution at which content is output or rendered on an external display device.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf648f548190a7aa3b1594665831 |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.