Triple
T637960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10GBASE-T |
E16665
|
entity |
| Predicate | usesCrosstalkCancellation |
P18340
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [10GBASE-T, usesCrosstalkCancellation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCrosstalkCancellation Context triple: [10GBASE-T, usesCrosstalkCancellation, true]
-
A.
usesSignaling
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
-
B.
couplingCapability
Indicates the ability or suitability of one entity to connect, link, or interface with another in a functional or compatible manner.
-
C.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
D.
compatibleWithSignaling
Indicates that one entity can correctly interpret, process, or operate using the signaling mechanisms, protocols, or formats employed by another entity.
-
E.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a4a1794a60819092b3dc3344426ed7 |
completed | March 1, 2026, 8:28 p.m. |
Created at: March 1, 2026, 7:35 p.m.