Triple
T9026942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam460ex |
E216070
|
entity |
| Predicate | hasStorageInterface |
P18025
|
FINISHED |
| Object | SATA II |
—
|
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: SATA II | Statement: [Sam460ex, hasStorageInterface, SATA II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStorageInterface Context triple: [Sam460ex, hasStorageInterface, SATA II]
-
A.
hasStorageFunction
Indicates that an entity serves to store, retain, or hold another entity or resource for later use.
-
B.
hasStorageClass
Indicates that one entity is assigned or associated with a particular storage class that defines how its data is stored or managed.
-
C.
hasInterface
Indicates that one entity provides, exposes, or is connected through a defined interface to another entity.
-
D.
storageInterface
chosen
Indicates that one entity serves as a storage interface used by or associated with another entity for storing or retrieving data.
-
E.
usesInterface
Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
- 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_69cc6a7eb5b881908ace0c3327f06161 |
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.