Triple
T20638673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 200GBASE-R PHYs |
E507157
|
entity |
| Predicate | supportsLinkTraining |
P140869
|
FINISHED |
| Object | yes, for electrical interfaces |
—
|
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: yes, for electrical interfaces | Statement: [200GBASE-R PHYs, supportsLinkTraining, yes, for electrical interfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLinkTraining Context triple: [200GBASE-R PHYs, supportsLinkTraining, yes, for electrical interfaces]
-
A.
supportsLinks
Indicates that one entity provides backing, endorsement, or assistance to another entity through connections or references (such as hyperlinks or relational links).
-
B.
supportsLearningMechanism
Indicates that one entity facilitates, enables, or enhances the learning mechanism or process of another entity.
-
C.
trainingSupport
Indicates that one entity provides assistance, resources, or facilitation to help another entity conduct or participate in training activities.
-
D.
requiresTraining
Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
-
E.
supportsLinkAggregation
Indicates that one entity provides or is compatible with link aggregation capabilities for combining multiple network connections into a single logical link.
- F. None of above. chosen
Provenance (4 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1163008190aa9df36750a952d2 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.