Triple
T9027985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Developer Transition Kit for Apple silicon |
E216094
|
entity |
| Predicate | hasMemory |
P9335
|
FINISHED |
| Object | 16 GB RAM |
—
|
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 GB RAM | Statement: [Developer Transition Kit for Apple silicon, hasMemory, 16 GB RAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemory Context triple: [Developer Transition Kit for Apple silicon, hasMemory, 16 GB RAM]
-
A.
hasUserMemory
Indicates that an entity maintains or is associated with stored information about a specific user.
-
B.
hasRAM
chosen
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
C.
hasMemoryBlackouts
Indicates that an entity experiences episodes of lost or impaired memory for certain periods or events.
-
D.
isRememberedOn
Indicates that an entity is commemorated, recalled, or honored on a specific date or occasion.
-
E.
supportsMemoryProtection
Indicates that one entity provides mechanisms to prevent unauthorized access or interference with another entity’s memory space.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7fcb308190af90d6be8700e498 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.