Triple
T425352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fibre Channel |
E8194
|
entity |
| Predicate | OSIModelRelation |
P11823
|
FINISHED |
| Object | primarily physical 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: primarily physical layer | Statement: [Fibre Channel, OSIModelRelation, primarily physical layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OSIModelRelation Context triple: [Fibre Channel, OSIModelRelation, primarily physical layer]
-
A.
OSIModelLayer
Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
-
B.
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.
-
C.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
D.
protocolLayer
chosen
Indicates a relationship where a communication protocol operates at, or is associated with, a specific layer in a protocol stack or network architecture.
-
E.
usesPhysicalLayerSimilarTo
Indicates that one entity employs a physical layer that is similar in structure, technology, or operational characteristics to that used by 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed56ab481909eec289075496260 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd6736c81909a6ca549f77b4345 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.