Triple
T34924830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Performa 476 |
E1007253
|
entity |
| Predicate | videoRAMUpgradeableTo |
P30786
|
FINISHED |
| Object | 1 MB |
—
|
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: 1 MB | Statement: [Macintosh Performa 476, videoRAMUpgradeableTo, 1 MB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoRAMUpgradeableTo Context triple: [Macintosh Performa 476, videoRAMUpgradeableTo, 1 MB]
-
A.
videoMemorySize
chosen
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
expandableRAM
Indicates that a device’s RAM can be increased beyond its original capacity, typically by adding or upgrading memory modules.
-
C.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
D.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
-
E.
supportsLPDDR4Memory
Indicates that an entity is compatible with and can operate using LPDDR4 memory technology.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.