Triple
T4476402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigabit Ethernet |
E100018
|
entity |
| Predicate | usesEncoding_1000BASE-T |
P33682
|
FINISHED |
| Object | PAM-5 |
—
|
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: PAM-5 | Statement: [Gigabit Ethernet, usesEncoding_1000BASE-T, PAM-5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEncoding_1000BASE-T Context triple: [Gigabit Ethernet, usesEncoding_1000BASE-T, PAM-5]
-
A.
usesBasebandTransmission
Indicates that one entity employs baseband transmission, meaning it sends digital signals directly over a communication medium without modulating them onto a higher-frequency carrier.
-
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.
energyEfficientEthernetStandard
Indicates that the subject conforms to or supports the Energy-Efficient Ethernet (EEE) standard for reducing power consumption in Ethernet networking.
-
D.
transmissionTypeSupported
Indicates that a particular type of transmission is compatible with or can be used by a given system, device, or component.
-
E.
dataEncodingMethod
chosen
Indicates the specific technique or format used to encode data for storage, transmission, or processing.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.