Triple
T9026874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam440ep |
E216068
|
entity |
| Predicate | ethernetSpeed |
P1376
|
FINISHED |
| Object | 10/100 Mbit/s |
—
|
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: 10/100 Mbit/s | Statement: [Sam440ep, ethernetSpeed, 10/100 Mbit/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethernetSpeed Context triple: [Sam440ep, ethernetSpeed, 10/100 Mbit/s]
-
A.
energyEfficientEthernetStandard
Indicates that the subject conforms to or supports the Energy-Efficient Ethernet (EEE) standard for reducing power consumption in Ethernet networking.
-
B.
usesAutoNegotiation
Indicates that one entity configures or operates a connection using automatic negotiation of parameters (such as speed or duplex) with another entity.
-
C.
supportsBusSpeed
Indicates that one entity is capable of operating at, or is compatible with, a specified bus communication speed of another entity.
-
D.
hasServiceSpeed
Indicates that an entity provides a service operating at a specified speed or performance rate.
-
E.
dataRate
chosen
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
- 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.