Triple
T3909374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Classic |
E87283
|
entity |
| Predicate | graphicsMemory |
P30786
|
FINISHED |
| Object | built-in |
—
|
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: built-in | Statement: [Macintosh Classic, graphicsMemory, built-in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsMemory Context triple: [Macintosh Classic, graphicsMemory, built-in]
-
A.
videoMemorySize
chosen
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
graphicsAdapter
Indicates a relationship where a device or system is associated with, uses, or is equipped with a particular graphics adapter (graphics processing hardware).
-
C.
graphicsAPI
Indicates a relationship where one entity uses, supports, or is implemented with a particular graphics application programming interface (graphicsAPI).
-
D.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
E.
maxUnifiedMemory
Indicates the maximum amount of unified (shared CPU/GPU) memory that can be allocated or used in a given context.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.