Triple
T29183207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro 13-inch (Intel, 2020) |
E739797
|
entity |
| Predicate | RAMSpeed |
P13752
|
FINISHED |
| Object | 3733 MHz |
—
|
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: 3733 MHz | Statement: [MacBook Pro 13-inch (Intel, 2020), RAMSpeed, 3733 MHz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RAMSpeed Context triple: [MacBook Pro 13-inch (Intel, 2020), RAMSpeed, 3733 MHz]
-
A.
ramSpeed
Indicates the rate or velocity at which one entity forcefully collides with or rams into another.
-
B.
memoryBandwidth
chosen
Indicates the rate at which data can be transferred to or from a memory system over a given period of time.
-
C.
clockSpeed
Indicates the operating frequency at which a clock-driven component (such as a processor) performs its cycles or operations over time.
-
D.
memoryController
Indicates a relationship where one entity manages, coordinates, or regulates access to memory resources for another entity or system.
-
E.
memoryConfigurations
Indicates how memory resources are arranged, allocated, or structured within a system or component.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663850bd88190a41413ffcb3e7924 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:58 a.m.