Triple
T30001664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (16-inch, 2019) |
E762184
|
entity |
| Predicate | maxRAMGB |
P53401
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [MacBook Pro (16-inch, 2019), maxRAMGB, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxRAMGB Context triple: [MacBook Pro (16-inch, 2019), maxRAMGB, 64]
-
A.
maxRAMOfficial
chosen
Indicates the officially specified maximum amount of RAM that is supported or allowed for an entity (such as a device or system).
-
B.
maxRAMUnofficial
Indicates the maximum amount of RAM that can be used or installed in an unofficial or unsupported configuration.
-
C.
minRAM
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
D.
typicalRAMRangeMB
Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
-
E.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6794eecb48190a679439c69a17137 |
completed | May 2, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:41 p.m.