Triple
T30001663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (16-inch, 2019) |
E762184
|
entity |
| Predicate | baseRAMGB |
P9335
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [MacBook Pro (16-inch, 2019), baseRAMGB, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseRAMGB Context triple: [MacBook Pro (16-inch, 2019), baseRAMGB, 16]
-
A.
typicalRAMRangeMB
Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
-
B.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
-
C.
hasRAM
chosen
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
D.
minRAM
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
E.
maxRAMUnofficial
Indicates the maximum amount of RAM that can be used or installed in an unofficial or unsupported configuration.
- 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.