Triple
T1775275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air (M1, 2020) |
E38962
|
entity |
| Predicate | baseStorage |
P8611
|
FINISHED |
| Object | 256 GB SSD |
—
|
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: 256 GB SSD | Statement: [MacBook Air (M1, 2020), baseStorage, 256 GB SSD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseStorage Context triple: [MacBook Air (M1, 2020), baseStorage, 256 GB SSD]
-
A.
dataStorage
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
-
B.
storageInterface
Indicates that one entity serves as a storage interface used by or associated with another entity for storing or retrieving data.
-
C.
storageLayer
Indicates a relationship where one entity functions as the storage layer or persistence tier used by another entity to store and retrieve data.
-
D.
storageOption
chosen
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
E.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.