Triple
T3800133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mini DisplayPort |
E91667
|
entity |
| Predicate | dataInterfaceType |
P30865
|
FINISHED |
| Object | packet-based |
—
|
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: packet-based | Statement: [Mini DisplayPort, dataInterfaceType, packet-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataInterfaceType Context triple: [Mini DisplayPort, dataInterfaceType, packet-based]
-
A.
dataInterface
Indicates that one entity serves as a data interface through which another entity can access, exchange, or manipulate data.
-
B.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
C.
dataBusType
chosen
Indicates the type or category of data bus used to transfer data between components or systems.
-
D.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
E.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.