Triple
T9317834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS Big Sur |
E224167
|
entity |
| Predicate | systemRequirementsMinimumStorage |
P41028
|
FINISHED |
| Object | 35.5 GB available storage |
—
|
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: 35.5 GB available storage | Statement: [macOS Big Sur, systemRequirementsMinimumStorage, 35.5 GB available storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemRequirementsMinimumStorage Context triple: [macOS Big Sur, systemRequirementsMinimumStorage, 35.5 GB available storage]
-
A.
minStorageCapacity
chosen
Indicates the minimum storage capacity required, allowed, or guaranteed in a given context or relationship.
-
B.
storageRequirement
Indicates the amount or type of storage capacity or resources that an entity needs in order to function or be maintained.
-
C.
initialHardDriveCapacity
Indicates the original storage capacity of a hard drive at the time it was first provided, installed, or configured.
-
D.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
E.
minRAM
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
- 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.