Triple
T1773468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAS |
E38925
|
entity |
| Predicate | physicalConnectorType |
P1374
|
FINISHED |
| Object | SFF-8482 |
—
|
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: SFF-8482 | Statement: [SAS, physicalConnectorType, SFF-8482]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalConnectorType Context triple: [SAS, physicalConnectorType, SFF-8482]
-
A.
connectorType
chosen
Indicates the specific kind or category of connection interface that links two entities.
-
B.
hardwareRole
Indicates the functional role or purpose that a piece of hardware serves within a system or configuration.
-
C.
physicalMediumDependentSubtype
Indicates that one subtype or variation of something is specifically determined or constrained by the physical medium through which it exists or operates.
-
D.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
E.
hasPhysicalFootprint
Indicates that one entity occupies or affects a specific physical area or space in the real world.
- 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.