Triple
T9317833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS Big Sur |
E224167
|
entity |
| Predicate | systemRequirementsMinimumRAM |
P18024
|
FINISHED |
| Object | 4 GB |
—
|
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: 4 GB | Statement: [macOS Big Sur, systemRequirementsMinimumRAM, 4 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemRequirementsMinimumRAM Context triple: [macOS Big Sur, systemRequirementsMinimumRAM, 4 GB]
-
A.
minRAM
chosen
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
B.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
-
C.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
D.
typicalRAMRangeMB
Indicates the usual or expected range of RAM capacity, measured in megabytes, associated with an entity.
-
E.
platformRequirement
Indicates that one entity specifies a necessary platform or environment condition that must be met for another entity to function or be applicable.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.