Triple
T23387724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applications Area |
E593928
|
entity |
| Predicate | concernsOSIModelLayer |
P6553
|
FINISHED |
| Object | application layer |
—
|
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: application layer | Statement: [Applications Area, concernsOSIModelLayer, application layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsOSIModelLayer Context triple: [Applications Area, concernsOSIModelLayer, application layer]
-
A.
OSIModelLayer
chosen
Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
-
B.
concernsLayer
Indicates that something is related or pertains specifically to a particular layer within a layered structure or system.
-
C.
networkLayerIndependence
Indicates that the relationship or action remains valid and unaffected regardless of the underlying network layer or transport mechanism used.
-
D.
protocolLayer
Indicates a relationship where a communication protocol operates at, or is associated with, a specific layer in a protocol stack or network architecture.
-
E.
linkLayer
Indicates a relationship where one entity is connected to another at the data link (Layer 2) level of a network stack, enabling direct frame-level communication between them.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498fd08819085e90a872d9d0c7a |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:35 p.m.