Triple
T12318055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Performa 475 |
E293653
|
entity |
| Predicate | ramConfiguration |
P9335
|
FINISHED |
| Object | onboard RAM plus SIMM slot |
—
|
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: onboard RAM plus SIMM slot | Statement: [Macintosh Performa 475, ramConfiguration, onboard RAM plus SIMM slot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ramConfiguration Context triple: [Macintosh Performa 475, ramConfiguration, onboard RAM plus SIMM slot]
-
A.
ramSpeed
Indicates the rate or velocity at which one entity forcefully collides with or rams into another.
-
B.
ramExpandableTo
Indicates that a device’s RAM can be increased from its current capacity up to a specified maximum amount.
-
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.
ramCapacity
Indicates the amount of system memory (RAM) that an entity possesses or supports.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.